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PLOS One logoLink to PLOS One
. 2021 May 3;16(5):e0250946. doi: 10.1371/journal.pone.0250946

The implementation, use and sustainability of a clinical decision support system for medication optimisation in primary care: A qualitative evaluation

Mark Jeffries 1,2,*, Nde-Eshimuni Salema 2,3, Libby Laing 3, Azwa Shamsuddin 4, Aziz Sheikh 4, Anthony Avery 2,3, Antony Chuter 5, Justin Waring 6, Richard N Keers 1
Editor: Simone Borsci7
PMCID: PMC8092789  PMID: 33939750

Abstract

Background

The quality and safety of prescribing in general practice is important, Clinical decision support (CDS) systems can be used which present alerts to health professionals when prescribing in order to identify patients at risk of potentially hazardous prescribing. It is known that such computerised alerts may improve the safety of prescribing in hospitals but their implementation and sustainable use in general practice is less well understood. We aimed to understand the factors that influenced the successful implementation and sustained use in primary care of a CDS system.

Methods

Participants were purposively recruited from Clinical Commissioning Groups (CCGs) and general practices in the North West and East Midlands regions of England and from the CDS developers. We conducted face-to-face and telephone-based semi-structured qualitative interviews with staff stakeholders. A selection of participants was interviewed longitudinally to explore the further sustainability 1–2 years after implementation of the CDS system. The analysis, informed by Normalisation Process Theory (NPT), was thematic, iterative and conducted alongside data collection.

Results

Thirty-nine interviews were conducted either individually or in groups, with 33 stakeholders, including 11 follow-up interviews. Eight themes were interpreted in alignment with the four NPT constructs: Coherence (The purpose of the CDS: Enhancing medication safety and improving cost effectiveness; Relationship of users to the technology; Engagement and communication between different stakeholders); Cognitive Participation (Management of the profile of alerts); Collective Action (Prescribing in general practice, patient and population characteristics and engagement with patients; Knowledge);and Reflexive Monitoring (Sustaining the use of the CDS through maintenance and customisation; Learning and behaviour change. Participants saw that the CDS could have a role in enhancing medication safety and in the quality of care. Engagement through communication and support for local primary care providers and management leaders was considered important for successful implementation. Management of prescribing alert profiles for general practices was a dynamic process evolving over time. At regional management levels, work was required to adapt, and modify the system to optimise its use in practice and fulfil local priorities. Contextual factors, including patient and population characteristics, could impact upon the decision-making processes of prescribers influencing the response to alerts. The CDS could operate as a knowledge base allowing prescribers access to evidence-based information that they otherwise would not have.

Conclusions

This qualitative evaluation utilised NPT to understand the implementation, use and sustainability of a widely deployed CDS system offering prescribing alerts in general practice. The system was understood as having a role in medication safety in providing relevant patient specific information to prescribers in a timely manner. Engagement between stakeholders was considered important for the intervention in ensuring prescribers continued to utilise its functionality. Sustained implementation might be enhanced by careful profile management of the suite of alerts in the system. Our findings suggest that the use and sustainability of the CDS was related to prescribers’ perceptions of the relevance of alerts. Shared understanding of the purpose of the CDS between CCGS and general practices particularly in balancing cost saving and safety messages could be beneficial.

Background

Medication safety is of primary concern to healthcare provision worldwide as described by the World Health Organization’s Third Global Patient Safety Challenge: Medication without harm (2017) [1]. In the UK, there are more than a billion medicines prescribed annually in the community, hence prescribing errors in general practice are an important and expensive cause of preventable safety incidents, illness, hospitalisations and deaths [2]. It is therefore important to enhance the safety, quality and cost-effectiveness of prescribing. One approach to detect potential errors involves using ‘prescribing safety indicators,’ which are statements of potentially hazardous prescribing events that may place patients at risk of harm. These indicators can be deployed in general practice electronic health records to routinely identify patients at risk of hazardous prescribing (e.g. probable prescribing errors, whereby risks are likely to strongly outweigh any potential benefits) [3]. Prescribing safety indicators can be incorporated into information technology (IT) based tools which can then be utilised to support general practitioners (GPs) and other health professionals to improve the quality and safety of prescribing [4, 5]. However, the use of IT has not always been successful in the UK National Health Service (NHS) with technology often failing to integrate or has been perceived as not adding value [6]. Such success or failure in implementation has in the past been attributed to the complex interactions between organisational processes, the technology and users [7]. Engagement between the health professionals working in clinical settings and the technology may also inform understanding of the potential impact on changes in working practices, roles and responsibilities [4, 8].

The Clinical Decision Support (CDS) system evaluated here was developed commercially and has been in use in general practices across England and Wales since 2014. The CDS provided a suite of messages that appeared to prescribers as alerts at the point of prescribing. This suite of messages is managed by local Clinical Commissioning Group (CCG) medicines management teams whereby individual or groups of messages may be switched on or off so the messages seen in practice could be tailored to local needs, guidelines or policies. CDS systems are commonly used to provide support for decision making by clinicians in both secondary and primary care settings. These tools may provide patient related information and clinical knowledge in order to enhance patient care, improve the quality and cost-effectiveness of prescribing and may reduce medication error or the potential prescribing of inappropriate medications [911]. CDS systems can be utilised to provide decision support alerts when a prescribing decision is being made with the aim of preventing a hazardous prescription. Available evidence indicates that this approach is moderately successful, but prescribers may override these alerts due to high volumes (‘alert fatigue’) and particularly if they interrupt clinical workflow by arriving at inappropriate times in the consultation [1215].

CDS interventions may have different active interacting components that may act synergistically to yield one or more mechanisms of change and hence outcomes in changeable systems and are thus considered to be ‘complex’ [16]. Process evaluations can be conducted to understand more clearly why complex interventions produce observed effects, why these outcomes may differ from what was expected, what influence context has on these outcomes and what lessons can be learned for wider implementation and optimal use [1719] It is also suggested that the use of implementation science and theoretical frameworks is important to support the robustness of process evaluation [17]. One such framework is Normalisation Process Theory (NPT) which focuses upon the work people do to integrate interventions into practice [20].

Previous studies designed to evaluate CDS systems have shown that the application of CDS might improve care outcomes, improve the process of care or have explored the acceptability of systems to professionals [10, 11, 20]. Much previous research has focused upon hospital settings [10, 11, 15]. With a notable exception in Trinkley et al [21], who explored clinician preferences for their ideal CDS that could be utilised in primary care, there has been little in the way of qualitative research that has explored the complex and interrelated sociotechnical processes involved in the implementation of a CDS intervention nor examined their longer term sustainability. This study therefore aimed to understand the factors that influenced the successful implementation and sustained use in English primary care of a CDS designed to enhance the quality and safety of prescribing.

Methods

Study design

This study was a qualitative process evaluation using semi-structured interviews of multiple stakeholders working in primary care settings in England. The study took place across general practices within four separate CCGs, or partnerships of CCGs, in the North West and East Midlands regions of England which were chosen to provide different geographical characteristics. CCGs are the clinically led, authorised NHS bodies that plan and commission healthcare services for their local area [22]. CCGs had pharmacist-led medicines management teams that supported quality prescribing and medication safety across their area.

Sampling and recruitment of participants

The sampling frame was stakeholders involved in the implementation of the CDS system, and/or in the ongoing use of the system, working within the CCG areas. General practices and CCG areas were only included if they had installed the CDS within the previous twelve months. In addition, staff working for the CDS developers were also approached to take part in interviews. Stakeholders therefore included CCG managers, CCG pharmacists and pharmacy technicians, GPs, general practice nurses, general practice-based pharmacists and pharmacy technicians and CDS developer staff. CCG and CDS developer staff were approached directly by MJ or RNK via email or telephone and invited to take part in interviews. General practices where staff could be invited to take part were identified through discussions with CCG managers. A typology framework of practices in each CCG was developed based upon demographic factors to facilitate recruitment of diverse groups–including size of practice, use of different electronic health record (EHR) systems, indices of multiple deprivation for the area the practice served, CCG reported engagement with the CDS, and time since implementation of the CDS. Potential practices were approached by email or telephone by MJ and invited to take part. In addition, MJ visited CCG meetings of groups of general practices. Once practices indicated that staff might be interested in taking part, MJ visited the practice to explain the study further and provided written information. Practices consented to take part in the study before individual staff were approached. Individual general practice staff were approached directly by telephone or email, or through liaising with the general practice manager. A total of 41 practices were approached, 32 either declined to take part or did not respond to approaches and nine practices consented to take part. Reasons for not taking part were usually associated with time and staffing commitments. All individual potential participants were provided with study information and given at least 24 hours to decide if they wished to take part. They were then contacted by MJ to arrange a convenient time for interview.

Data collection

The semi-structured interview schedule was informed by NPT [20] and developed through discussions between the authors and reading of relevant literature [48, 14]. The interview schedule (included as S1 Appendix–Interview Topic Guide) was designed to illicit how people understood the value of the CDS, how it had been implemented, the work in using the system and how the intervention might be sustained. The interview schedule was reviewed iteratively throughout data collection to ensure it continued to be appropriate. Semi-structured interviews were conducted with a range of stakeholders–CCG staff including Pharmacists and Pharmacy Technicians, GP Staff including GPs, Nurses and Pharmacists and staff from the CDS developers. Follow-up interviews were conducted approximately 12 months after the first interview with 11 participants who had taken part in first interviews. These participants were purposively selected to provide a range of different stakeholders, in order to understand changes that may have occurred and how the intervention was being sustained in everyday practice beyond the initial intervention period. All interviews were conducted solely by MJ, a researcher with extensive experience in conducting research related to medication safety and the use of technology and expertise in qualitative research interviewing, Interviews took place at the participants’ usual place of work (general practice, CCG offices) or at university premises (two interviews). No interviewees were known to MJ prior to the interview. Thirty interviews were conducted face-to-face and 10 by telephone. As approved by the ethics committee participants were offered a £20 shopping voucher per interview as reimbursement for their time. Vouchers were accepted by all staff in general practices, who took time out from their working day to participate, but declined by eight of the ten CCG staff.

Theoretical framework: Normalization process theory

Theoretical frameworks for technological interventions have seen technology, people and organisations as separate things which operate at multiple levels but do not do so through interaction and have often regarded these as separate homogenous elements [7]. Technological intervention can be observed in ways that understand it as part of complex and interdependent social processes [6, 7]. Normalization Process Theory (NPT) has been used to understand the ways new technologies and work practices are implemented and focuses upon the social processes of implementation [4, 20]. Interventions involve changes in the actions that people do so that the new behaviours involved in the new intervention become adopted [20]. NPT suggests that interventions are adopted and implemented because of the work and actions people undertake, both individually and collectively, to integrate the intervention into routine practice [20, 2325]. NPT provides a rational framework and allows for an understanding of how individuals and groups make sense of a new intervention and work together to build confidence in the new practice and change their actions and behaviours in order to enable it to happen [20, 2325]. Implementation of a new intervention involves changes in human interactions with material things, changes in human relationships, changes in the rules and social norms that make actions possible and changes in the ways systems are understood and defined [25].

NPT is built upon four constructs: coherence–the ways in which the intervention is understood, cognitive participation–the ways people work together to put the new intervention into practice, collective action–the ways people work to operationalise the new intervention, and reflexive monitoring–how people evaluate the new practice and work to sustain it. These constructs are further described in Table 1. NPT has been used in a number of evaluations of health care interventions including those for prescribing safety and patient digital feedback and has been said to be particularly useful for drawing out the multi-faceted nature of interventions [4, 26, 27]. In recent research NPT was considered useful in providing insights into how relationships and communication between health professionals could help drive the implementation and sustainability of a technological intervention utilising an audit and feedback system for medication safety in primary care [4]. It was therefore considered an appropriate theoretical framework through which to explore the use of a CDS in primary care.

Table 1. Normalisation process theory constructs [2225].

From Jeffries et al PLOS ONE 2018.

NPT constructs
Coherence Cognitive participation
The ways in which people define the intervention and how they make sense of it. How people organise themselves and others through relational work to implement the new intervention.
The work people do to understand how the intervention might involve a different set of practices. Working together to collectively contribute to the new ways of working that the intervention requires.
The work people do together to understand the intervention and to integrate it into a healthcare setting. How the actions and procedures that will be needed to sustain the intervention are defined.
The individual tasks involved in the intervention and what people do to attribute worth to that new practice.
Collective action Reflexive monitoring
How the intervention is operationalised and enacted in practice. How other individuals and groups evaluate the intervention and look to sustain it.
The collective and interactional work that people do with each other in order to adopt the new intervention into practice. The work that participants do individually and collectively to evaluate and determine how effective the intervention is for them and for others.
The knowledge work to build confidence in the new practice, divisions of labour and allocation of work including the tasks people do and how those tasks are related to their existing skill sets. The impact of the new practices upon their own work. This may include attempts to modify the intervention.

Data analysis

Data analysis was informed by NPT as a theoretical framework. MJ led the data analysis, which was thematic and conducted alongside data collection. The analysis followed two parts: firstly, an inductive thematic approach informed by Braun and Clark [28]. For the initial inductive thematic approach, MJ used QSR NVIVO 12 to organise the data and inductively coded six early interviews to identify features, patterns, groups of codes and potential themes to build a preliminary framework for application to the data and to inform further data collection. These six coded transcripts were independently read by RNK and further discussed by MJ, RNK, and JW. Next, analysis moved to a template approach [29] which involved developing a coding template as a consequence of these discussions and applied to 27 interviews. Further discussions of the transcripts, codes and themes were undertaken by RNK, MJ, NS, LL and AC and the coding template reworked as a result. Further development of the coding framework into themes was undertaken with all authors, consensus reached, and the codes and themes applied to the full data set. The themes were then mapped, integrated and interpreted alongside the four NPT constructs [25].

Ethical approval and consent to participate

Ethical approval for the study was granted 10th October 2017 by the University of Manchester Research Ethics Committee. Further approval to conduct the research was granted by the NHS Health Research Authority (IRAS project ID: 233079) on 26th October 2017 and by the research and development offices for the NHS participating regions. General practices gave written informed consent for their staff to be approached to take part in the study. All interview participants at general practices, CCG staff and the CDS developer staff gave written informed consent to take part in the study, and for interviews to be audio-recorded and transcribed verbatim.

Results

Thirty-nine interviews were conducted with 33 participants. These comprised of interviews with general practice staff (n = 20:- GPs = 14, Nurse prescribers = 3, practice pharmacists = 3), CCG staff (n = 10: CCG Pharmacists = 7, Pharmacy Technicians = 2, data analyst = 1) and CDS developer staff (n = 3). Of the 39 interviews 11 were follow-ups. Thirty-four interviews were conducted one-to-one and 5 as group interviews. The 5 group interviews each involved staff working at the same CCG or general practice (Group interview 1—CCG pharmacist and CCG Pharmacy Technician; Group interview 2–3 GPs; Group interview 3—GP and GP Pharmacist; Group interview 4—CCG Pharmacist and CCG data analyst; Group interview 5—follow up to group interview 3 with GP and GP Pharmacist). Stakeholder interviews are further described in Table 2. The first interviews were conducted between December 2017 and November 2019 with follow-up interviews conducted between December 2018 and June 2020. Interviews ranged in duration from 13–68 minutes with a mean length of 36 minutes. The main findings are mapped onto the four NPT constructs as described in Table 3.

Table 2. Participants by role and region.

PARTICIPANTS—By Role and CCG region Region 1 Region 2 Region 3 Region 4 No region TOTALS PER ROLE
PRESCRIBERS
GP 2 1 3 8 0 14 GP
Nurse Prescriber 1 0 2 0 0 3 Nurse Prescriber
Practice Pharmacist 0 0 1 2 0 3 Practice Pharmacist
TOTAL PRESCRIBERS 3 1 6 10 0 20 TOTAL PRESCRIBERS
STRATEGIC OVERVIEW–CCG OR CDSDEVELOPERS
CCG, Manager Pharmacist or Pharmacy Technician 2 2 3 3 0 10 CCG, Manager Pharmacist or Pharmacy Technician
CDSDevelopers 0 0 0 0 3 3 CDSDevelopers
TOTALS STRATEGIC OVERVIEW 2 2 3 3 3 13 TOTALS STRATEGIC OVERVIEW
TOTALS PARTICIPANTS PER REGION 5 3 9 13 3 33 TOTALS

Table 3. Findings mapped to NPT constructs.

NPT constructs
Coherence Cognitive participation
Participants saw the CDS systems as enhancing medication safety and improving cost effectiveness. People worked together to manage the profile of alerts to ensure timely and relevant alerts would be received in general practices and to avoid alert fatigue.
The ways people worked to integrate the CDS system into existing technology and workflows.
Engagement and communication between different stakeholders was seen as important to integrate the intervention into practice.
Collective action Reflexive monitoring
Within general practices staff worked to operationalise the intervention. This involved making prescribing decisions in using the CDS that took into account patient and population characteristics. At CCG level work was required to adapt, change and modify the CDS system to ensure it continued to be used optimally.
Using the CDS involved work to balance the new knowledge found in the intervention with prescribers own knowledge, experience and judgement. The use of the CDS involved learning and behaviour change.

NPT construct: Coherence

The CDS system was defined and made sense of as a system that had the potential to enhance medication safety and improve cost effectiveness. The relationship between the users and technology contributed to prescribers understanding of the relative advantages and disadvantages of the intervention. The latter included perceptions that the CDS would slow the practice electronic health record (EHR) or otherwise impact upon workflows. Engagement and communication were part of the collective work that people did to understand and integrate the intervention into primary care.

The purpose of the CDS: Enhancing medication safety and improving cost effectiveness

Participants saw that the CDS could have a supportive role in enhancing medication safety and it was described as not the ‘ultimate solution for helping with prescribing, but it complements (it)’ (CCG Pharmacy technician 2). It was perceived by the CDS developers that prescribers had confidence that the alerts in the CDS were providing a safety net, and that ‘(The CDS) it’s like having a medicines management pharmacist or technician sitting by your side, looking at your choice of medicine.’ (CDS developer pharmacist 1). There was trust in the system that it could provide accurate messages and had the capacity to provide the information needed at the point of prescribing. The triggering of alerts had the potential therefore to improve care, and participants highlighted this as important reasons to implement and use the system.

I’d hope that it would be making things better for them because the safety net is there. […]I feel a little bit more confident that there are those safety messages there and not relying solely on the clinical systems where sometimes there isn’t an alert.

(CCG Pharmacist 2)

The value of the system was considered in terms of the quality of care that was potentially going to be realised, balanced against the cost of the system. Value was seen in terms of safety since the ‘real positive affect of it is probably the safety’ (GP13). Cost was expressed as financial and in workload or time, so cost savings at the point of prescribing might free CCG medicines management teams to undertake other quality and safety work, and that going into practices to ‘do an audit and change it (prescribing practice) (is) quite time consuming’ (CCG Pharmacist 5—Follow up). Financial considerations were considered important to CCGs, and as business obligations to general practices. Cost was perceived as a driver for the CCGs and part of necessary financial considerations regarding cost savings and budgets. However, CCG medicine management teams talked about wanting to implement a tool that went beyond ‘just making financial recommendations’ (CCG Pharmacy technician 1) to something that could incorporate safety, best practice and quality. Without the cost saving element of the system it was felt that there would not be an incentive for the CCGs to invest in the system and sustain the intervention in future.

And a cost-saving tool. I think if there wasn’t a cost-saving attached to it, the CCG wouldn’t fund it. I think if it just sold itself on safety, then I don’t think the CCGs would invest in it. I know that sounds really bad but the way that the finances are at the moment, they can’t afford to be investing in things that aren’t going to show a return on investment. So, it’s just fortunate that it can show a return on investment so that then we can invest in the safety side of it..

(CCG Pharmacist 5)

Whilst health professionals, and particularly prescribers in general practice, recognised the need for cost savings they preferred a focus on safety.

[] for me personally (the main focus has) got to be patient safety. Because if (the CDS alerts) can stop you prescribing something that would do the patient harm, that otherwise wouldn’t have flashed up to you, that’s got to be worth its weight in gold from my perspective…

(GP14)

Similarly this prescriber perceived that cost-savings gained through making prescription switches represented short-term thinking. Whilst acknowledging that the cost saving was necessary, since public funds were involved, it was thought that simple switches of medications did not fit with a long-term strategy.

I don’t think cost is irrelevant. The reason I get frustrated about cost is because it changes so much. And there’s a real short-termism about budgets. […]… we have to look for cost savings and be aware that we’re spending tax payers’ money and that we can’t just ignore that, but on the other hand it doesn’t always feel like there’s a consistent long-term strategy that we’re moving people in an organised way towards the more cost-effective prescribing strategy and that it will stay like that.

(GP4)

Relationship of users to the technology

The relationship between users and the technology was important particularly in the way the CDS was integrated into both existing technology and usual workflows. It was considered important that the CDS fitted well with the general practice clinical system, with some participants reporting that it was slowing the clinical system down or distracting the prescriber from the patient. Changes to the practice EHR were reported to impact on prescribing and associated tasks since it was ‘… a lot more complicated. (GP12_ Follow-up)

This GP reflected that it was important for their practice that the CDS system didn’t impact upon workflows.

We got told, that []it was similar to what we already had anyway, and so we shouldn’t, besides the screens looking a little bit different, it shouldn’t really impact on our workflows or anything like that. And essentially, by and large, they were right. It had a few little extra bangs and whistles, particularly I think, to connecting to links to websites, if we wanted to know more, which seemed a bit more better integrated, so we had all the functionality of previously, plus a bit more, and it was a bit tidier….

(GP5)

GPs talked of the CDS being initially ‘quite clunky and quite intrusive’ (GP10—follow-up) to use. For GPs, the continued use of the CDS was supported by it being further embedded and less obtrusive to the user. After this early period, between 6–12 months after implementation, the CDS was seen as easy to use, unobtrusive, just ‘part of the system’ and that it was easy to navigate through it.

I suppose it’s just become more embedded so I am a little bit less aware of it, I suppose, it’s become a normal part of the clinical system that I use. And I’m definitely aware of it still but I don’t think, the comments I would have now haven’t probably evolved a great deal,.

(GP4-Follow-up)

Engagement and communication between different stakeholders

Early engagement with GPs and CCGs by the CDS developer was seen as positive in helping prescribers see the usefulness of the system and therefore encourage implementation.

So we try and get the GPs engaged early on because what we found is, if an organisation just buys it and chucks it out, GPs are like, hang on a minute, you know, yet again you’ve bought something that’s affecting us and we don’t have any buy-in. Whereas if we go and we push the fact that it’s best practice and it won’t pop up a lot, and if it pops up, there’s normally a reason

(CDSdeveloper pharmacist 1)

Engagement between the CCG and general practices was considered important to the implementation particularly to ‘make sure practices felt involved’ (CCG Pharmacist 3). It was felt that it was important for CCG staff to communicate with practices through their practice manager and that this would be an effective strategy “Because they (practice managers) were key to getting their practices on board” (CCG Pharmacist 3).

At CCG level, the successful implementation of the CDS was reported to be dependent on providing support for general practices. Without such support it was anticipated there would be disengagement.

You couldn’t just put it into a practice with no support at all. They’d be like, well, if I’m getting a message and I don’t understand it, I need somebody who’s a representative to say, I don’t get that, is there something I’m missing or is that message wrong? So, I think they need a personal touch and especially right at the beginning when it gets turned on. I think they need to know that they’ve got back-up because if it all goes belly up and they’re getting messages left, right and centre, they need somebody there to support them. Otherwise, I think they’d just turn it off.

(CCG Pharmacist 5)

There was a divergence in viewpoints here in how the CCG staff and GP staff saw the communication between them. Despite CCG staff talking of the support they provided to GPs, general practice staff throughout the interviews commented that it was not unusual to see ‘top down’ implementation of the CDS with minimal induction or training.

No, just, these things happen, that’s not out of the ordinary […]. So, yeah things just happen […] They often will appear before you have any training or knowledge of it whatsoever. Then if you’re lucky maybe there’s a launch event six months after you’ve already started using it.

(GP14)

Whilst prescribers reported that training was often minimal and that the system may have only had brief introductory explanations from the CCG implementing it, some commented that training may not have been required as the CDS was not complicated to use.

I think [..] somebody from the CCG might have come to one our neighbourhood meetings and told us it was happening. But I don’t remember any kind of training and they said, it would be pretty much like it used toThere may genuinely have been a five minute[…] And I think somebody from medicines management may have briefly said, it will be rolled out, it’s pretty self-explanatory, when this pops up it’s pretty much like, and that was it. But then it’s not a complicatedwhy would you.

(GP6)

Minimal training and ‘top down’ intervention was reported to lead to some disengagement between the CCG and GP practices. In a follow-up interview exploring the continued and sustained implementation of the system, one CCG medicines management pharmacist suggested that the CCG ‘could probably improve GP involvement’ (CCG Pharmacist 5). Elsewhere, this GP felt there was little in the way of direct conversation with the CCG but that any engagement most likely would be through the general practice-based pharmacist.

I’m not aware of anything. […] I’m not aware of any direct contact. We do now have a pharmacist [] she’s been aware of being able to access things that we’ve, you know, the log essentially, so the things that we have overridden or the list of things that we have actually changed as a result of (the CDS system) messages. So, she must have had some level of communication with the CCG at that level to be aware that she can interrogate our data in that way.

(GP4_Follow-up)

Communication with the CDS developers from the CCGs was perceived to be important in getting changes made to the CDS alerts over time but could add additional workload for the CCG. As this CCG pharmacist explained, getting changes to the formulary and getting the CDS messages ratified and agreed upon took time.

So in terms of the account manager I think our relationship with and access to (name) is fine. She does seem to be able to get things moving when needed. So with the formulary we have to wait for that decision to go through the area prescribing committee, then we have to wait for it to be ratified, then we have to wait for the minutes to go online, and only then can we amend the formulary. So that process can be anything up to six weeks. So there’s always that period of time when something’s actually on formulary but nobody knows about it.[].

(CCG Pharmacist 4)

NPT construct: Cognitive participation

By careful management of the profile of alerts, people worked together and contributed to new ways of working to implement and sustain the intervention. This was undertaken through the management of the profile of alerts centrally from the CCGs.

Management of the profile of alerts

Profile management was considered essential to running the system but was described as resource intensive in terms of ‘the amount of work you’ve got to put into it is quite immense‘ (CCG Pharmacist 5) and that it could not be done ‘without a team of people working on it’ (CCG Pharmacist 5). It was felt that without active profile management, GP staff using the system would become ‘so fed up with it, they’d just turn it off’ (CCG Pharmacist 5) because it would provide too many alerts which as this GP reflected would lead to them ignoring them.

So if there is a something that pops up, I suppose there is a higher chance of me looking it up but I’m just aware of the fact that if there is loads of red mess, almost my default mechanism is to go, oh pile of shit, you know and ignore it which actually is probably the very worst thing I could be doing. I’m really not sure thatI know I have never sat there and laboriously gone through all the alerts.

(GP6)

It was also seen as important to avoid the duplication of alert messages within the CDS system. It was felt that it was important to maintain the continuity of messages that came from different systems–from either the CDS or the practice EHR. Such simplification of messages and the avoidance of duplication made management of the profile of alerts more straightforward and avoided extra resource input.

there’s a huge amount of resource goes into that, there’s a lot of resource that goes into (the CDS system), and actually I have this big thing about duplication and simplification at work and actually really don’t like doing things twice. […] (The CDS system developers) are quite strict on the fact that actually they don’t author messages if it’s in the host system they can’t write new messages, which is right. And ultimately again it’s in one place, you don’t want it in another. So it’s sort of maintaining the continuity as best we can really.

(CCG Pharmacist 4)

One CCG pharmacist commented that having alerts already embedded in the CDS was less time consuming and that the messages had more reassurance in that they were national ones received by all. This made it easier to maintain the profile and provided reassurance that everyone was receiving the same message.

In the profile maintenance of it, because we had to author our own messages before, whereas with this one, a lot of them came authored already, based on national guidance, so the actual maintenance of the profile was a lot easier. And I think that was the biggest driver for us, was that actually, yes, it’s a great tool, but how much work would we need to put into it to maintain the profile? But because a lot of that work was done, and also, from a variation point of view, because the messages were from national guidance, you can feel reassured that actually everyone’s getting the same message, as opposed to having locally authored messages, which might not be in sync with what other people are doing.

(CCG Pharmacist 6)

There were different approaches and processes involved in the management of the alert profile. Some CCGs adopted a gradual approach to implementation without all the messages in the profile enabled, and then checked that these messages were useful for their population and the work they were trying to do. This approach from CCG medicines management teams was deemed useful in achieving good acceptance of alerts and could mitigate against alert fatigue, allow for the alerts to be tailored for the local population and for the system to complement other work that the CCG might be undertaking.

Well, they [the CDS developers] gave us a choice. They said we could go with a profile that everything’s on, but not enabled, so we would go through and switch on what we wanted. That was one choice. Or we could, more or less, have that same profile with it all enabled straightaway. So, we decided to go step by step and just enable what we wanted, because of the history we had with pop-up fatigue and we didn’t want to overdo it. Plus, even the time capacity, just to go through together what we wanted enabling, initially, which took time, which we didn’t have, so we went through very slowly, step by step. And it worked really well

(CCG Pharmacy technician 2)

It was also reported that having messages linked to the individual patient was a way of avoiding alert fatigue.

Plus, we had more guarantees that things were triggered to more of an individual status, whereas the original software [from a different developer] we had, the messages that we put on, whether be it cost, quality, whatever, it would flag all the time, so it wouldn’t be individualised to a person. And we found a lot of GPs and clinicians would get pop-up fatigue; they’d get so fed up of it all.

(CCG Pharmacy technician 2)

NPT construct: Collective action

Within general practices staff worked to operationalise the intervention. This included the ways in which they responded to the alerts within the CDS according to the needs of patients and patient populations. Responding to the alerts was related to prescribers existing skill sets in that the knowledge base within the CDS was balanced against their own expertise.

Prescribing in general practice, patient and population characteristics and engagement with patients

The response to alerts and prescribing decisions were reported to be influenced by patient and population characteristics. This could particularly involve complex patients with multi-morbidity and polypharmacy and therefore prescribing acute medicines or those that a patient had been taking for some time. Prescribing decisions were often, particularly for more complex patients, made more holistically. One community matron talked of ‘looking at each patient holistically from their disease management into their prescribing’ (Nurse prescriber 1). Similarly it was considered important, in responding to alerts, that patient choice was taken into consideration, to be mindful of the patient and look at the wider picture of safety for individual patients.

Yes, I think I’d like to think I do involve them. Yes, very much so, because with diabetic drugs there’s so many at the moment. It used to be two tablets and then go onto insulin and now it’s just, the market is huge. It’s a long-term condition so you can imagine the amount of drugs that they want…So yes, I do discuss with them and obviously, you know, for some people, they just won’t want to put on weight, fair enough. So yes, I’m quite happy to prescribe what’s right for the patient.

(Nurse prescriber 2)

There was variation in perceptions as to whether the system benefited prescribing for these patient groups or not. Some GPs said that they were more likely to override the system if the patient had been taking ‘something for a long period of time’ (GP10 -Follow -up). One GP felt that a more complicated patient is where it’s actually in a way more useful’(GP1) since it was perceived that the system would help with the potential interactions between multiple medications. However other prescribers felt that polypharmacy meant that ‘when you’re doing the review it pops like all the time’ (GP2) and ‘just becomes overwhelming because obviously there are lots of issues that are potentially already going on with their other medications, so it all pops up at once’(GP6). It was therefore felt that dealing with polypharmacy and multi-morbidity made the alerts from the system too numerous and required prescribers to become selective in which alerts they acted upon.

I had over 300 patients on over 25 medications, and that is impossible for (the CDS system) to help me. I’ve got to be really quite selective about what I do. Because if I’ve got 20 alerts up when I’m doing a medication review I cannot deal with 20. But I’ve learned to be a bit more selective about it, and I’ll go for the low hanging fruit, and I’ll perhaps do a little bit in the notes to say discuss such and such next time.

(GP3)

Such a distinction between prescribing acute medicines and making changes following a review was related to the perceived additional time and workload involved. This was particularly related to prescribing when completing repeat medications in situations when the patient would not be present.

The difficulty comes when you’re doing repeat medications and it pops up then and you just think, the faff of changing it midway through when a patient’s already used to one thing, in order to do that you’ve got to contact the patient, you’ve got to explain to them, […]we wouldn’t do (that) as GPs because we just haven’t got the time for it.

(GP12)

Knowledge

The CDS operated as a knowledge base allowing prescribers access to evidence-based information that they otherwise would not have. This was seen as important since prescribers were said to not be able to have full knowledge or could not be expected to know everything or “look up every single drug that I’m going to prescribe” (GP9)

However, there was a balance between the system and prescribers’ ‘own clinical judgement and experience as a doctor’ (GP14) and that prescribers would override the system if they felt on balance it was the better option for the patient.

So to some extent I’m just using my judgment about that and then experience, so it’s not always evidence-based, it may be they’re just a personal prejudice about…prescribing habit comes in possibly and I think, well, yeah, fair enough, that’s a risk that I take. That’s a decision I make with a patient and I’m on this occasion not going to take notice of that because I think the indication outweighs the risk.”

[GP4]

Prescribers were thought of as having knowledge of patients and their medical history and an understanding of different medical interventions. Alerts were balanced against what the GP knew of the patient and that the patient had had no reaction in the past.

If you prescribe something and there was an interaction between some other tablet, that’s good. Yes. Then you see on probability if it is going to benefit patient or not. […] Somebody who has asthma and or problems with their heart, they would benefit from the beta blocker and beta blocker can trigger it. So, it will come out in an alert. […] But they already had before beta blocker and you’re titrating, and the cardiologists and they didn’t have any reaction, but the system doesn’t know. The system is too persistent. It only does what it’s been told to do. […] So, the system doesn’t know that[] and you need to explain to the patient…?

[GP2]

It was said that general practice was about balancing risks and the response to alerts had to fit into that risk management which often involved a pragmatic approach.

. what we’re trained to do as doctors, is to do the difficult stuff, being pragmatic, the balancing two, three, four, competing risks, and working out what to do despite them, and how to manage them, and how to safety net them and all that sort of stuff, and (the CDS system) definitely helps from that, because anything that helps remind you of what the risks are, helps you manage them better.

(GP13)

Knowledge was gained through experience and it was thought that ‘experienced GP[s], they know what they’re prescribing and how they want to prescribe’ (GP2). At least one GP felt that GP knowledge, training and expertise was more extensive than non-medical prescribers for whom the system might be more helpful. Others felt that GPs knew the obvious alerts but help with more subtle ones would be good. The alerts were perceived to be more relevant and more useful for more junior inexperienced colleagues and less useful for experienced GPs who had more expertise.

Experienced GP(s), they know what they’re prescribing and how they want to prescribe and the reaction of the medications and you’re dealing with a certain number of tablets which you are familiar with. So, your prescribing habits changes very little. […] However, with the younger generation, with inexperienced GPyou know, younger doctors, I think it’s quite useful.

(GP2)

NPT construct: Reflexive monitoring

Maintenance and customisation of the system was important to how groups and individuals worked to sustain the intervention. The system was evaluated through the impact it had on learning and behaviour change.

Sustaining the use of the CDS through maintenance and customisation

At CCG level, work was required to adapt, change and modify the CDS system to ensure it continued to be used optimally in practice and fulfilled local priorities. Profile management involved turning on and off different messages at different times of the year based upon seasonality in a ‘rolling programme’ over time to ensure both relevance and usefulness and to avoid prescribers becoming annoyed with the volume of messages.

we’re going to work a bit harder on making sure the messages [alerts] they do get are relevant to them and useful so we’re going to be working harder on looking at the rejection reasons and tailoring the messages they get. We were also thinking about turning messages on and off so they don’t get fed up with them so doing it on a rolling programme so that they align with the work that we’re doing. For example, the self-care work so looking at over-the-counter products that patients should be using, we’re doing that in waves. So, we started with dry skin, hay fever. Some of it’s seasonal anyway so we can turn the messages on and off seasonally or when we’re doing the work to remind them. So yes, just trying to use it a bit more savvily, if that’s a word.

(CCG Pharmacist 5).

Profile management was a dynamic process over time. New messages and alerts could be added to the CDS. This was seen as a solution to new issues raised locally in general practice, at secondary care or through connectivity between the CCG and general practices

There might be things that come up locally. They might be mentioned at the hospital, that things that are coming through that shouldn’t be, that aren’t approved, and, oh right, we can maybe ask for that to be added onto (the CDS system). Or things at meetings; I’ve had two meetings today where I’ve got half a dozen things that could potentially go onto (the CDS system) to help our GPs.

(CCG Pharmacy technician 2)

Where CCGs were aware that a message was commonly rejected, they would consider whether they needed it or not.

…what we need to be looking at is what’s firing and what’s not being accepted and what’s being rejected, and what percentage is being rejected and whether that message is still appropriate or not appropriate? Do we need to turn it off? So that’s all the backend work that we still need to do. Because there’s no point having a message on if 90 per cent of your users are [] ignoring it

(CCG Pharmacist 6)

Learning and behaviour change

The CDS had some potential for learning and could lead to behaviour change; the system was seen to provide education for GPs and other prescribers where alerts on prescribing safety indicators have been missed. Prescribers could dynamically adapt to the system and if they changed their prescriber alerts would no longer be seen, though this might involve second guessing the system.

and it’s actually educational because a lot of them you know the warning before it comes up because you’ve seen it so many times so you’re already aware of it. So I mean some of the things I know now are because of it, so there is an educational element to it […] Yeah. Yes, definitely it does, yeah. And bringing up some of the risks as well, the long-term risks, fracture risks in certain drugs and things like that it’s brought up, which you probably wouldn’t have thought about at the time; so it’s definitely beneficial from that point of view.

(GP1)

For this practice pharmacist, the system had potential in helping prescribers to reflect upon their practice.

It’s active, it’s there, it works as and when required. It’s giving you information and just needs to be succinct. We also need to have a time where we can pull that information off on a monthly basis and reflect on the changes that we’ve made in order to make it safer […] (The CDS system) has great potential to make things safer. We should be able to use it deeper, so we can reflect on our prescribing so that future prescribing is safer.

(Practice pharmacist 3)

For some the potential for learning was seen as limited and might involve improved prescribing but no extensive change in working practices. Some participants commented that whilst learning might involve recognising the value and need for the prompts, the CDS did not involve enhancing understanding and learning but simply made changes.

More times than not, I’d just follow it through. Just ‘cause, it’s the time factor. But, you know, on the odd occasion, when I’ve thought, oh, I wonder what that’s about, that’s possibly…’cause often it’ll flag up something that’s possibly a learning need for me. […] Which, would have been nice, ‘cause if I can then go to the page, I can then make a note of it, and then go away and read up about it […] So, if you take the example of, I didn’t know that beta blockers cause, or can make asthma worse. Oh, that’s a doctor’s educational need [] I can go away and learn.

(GP5)

Discussion

This study revealed that participants valued and understood the CDS as having value and a role in medication safety and additionally as a. cost-saving tool. Engagement and communication between general practice and CCG staff was understood as important for the intervention to ensure optimal use and drive successful implementation, adoption and sustainability. It became apparent that the majority of ‘work’ required to embed and then sustain the impact of the CDS was required at CCG level in supporting general practices to use the tool and adapting its alert profile over time. Participants felt this necessary to avoid alert fatigue and to ensure that appropriate, timely and relevant alerts were being displayed to prescribers that reflected the changing local landscape. This work at CCG level was considered a dynamic process that was demanding, time-consuming and required different approaches. In general practice, taking clinical action in response to CDS alerts was influenced by the contextual background within which prescribing decisions took place. Actioning alerts was dependent upon an array of contextual factors that included the characteristics of patients, populations and prescribers, perceptions of time and workload and the engagement with and involvement of patients.

It has been previously reported, through qualitative research into CDS support alerts for medicines management, that clinicians prefer to have clinically relevant and pertinent information presented in alerts that do not interrupt their workflows [21] and participant views in our study were in concordance with this. Trinkley et al [21] similarly found that clinicians preferred clinically relevant alerts that presented pertinent information and allowed for flexibility in response. Additionally, Van der Velde et al [30] found in a systematic review that CDS was more effective when patient specific suggestions were made as was the case with this CDS. Both Jia et al [10] and Monique et al [31] found that the specificity of alerts could improve alert fatigue. It is clear from our findings that CDS systems require ongoing maintenance to ensure that alerts are timely, relevant and reliable. The avoidance of alert fatigue was in part achieved by the continual monitoring, development and modification of the suite of alerts that individual CCGs actioned within their locality. Importantly, prescribers disliked those alerts considered irrelevant or trivial and these were perceived as overwhelming and often disregarded. Some prescribers described how multiple alerts could lead to a disregard of all alerts therefore those considered important were lost amongst those perceived to be more trivial. This concords with Scott (p.569) who in a systematic review of CDS systems concluded that CDS ‘need to generate advice and alerts for the right patient at the right time with the right information’ [11]. Previous research has focused upon overrides of such alerts and made suggestions that the tiering of alerts, with the more severe highlighted above the less crucial could reduce the number of overrides [15].

Previous research has thus focused upon the design of alert systems and their functional nature. This problematises the design elements of the technology and sees the technology and the users as separate variables. Changes in design of technology are assumed to lead to changes in acceptance [11]. What this approach fails to capture is the reciprocal and recursive nature of technological implementation and adoption within healthcare and how implementation is a social practice. Importantly our findings highlight a more recursive understanding of technological interventions in which the technology is intertwined and interdependent with the people who use the technology and the contexts within which it is used [7, 32]. Whilst previous research has found that IT systems can undermine GP expertise and autonomy and that clinical work can be reduced to a technical activity [7, 3335] in our study participants reported that the information the CDS provided was balanced out against the prescribers experience and expertise, with prescribers relating how they would consider alerts within broader considerations of what they knew of the patient and their medical history. This could be particularly the case for patients on longer term medications who had not had problems in the past and therefore prescribers weighed the lack of previous problems against the advice in the alerts from the system.

Strengths and limitations

A particular strength of this study is the use of NPT, which enabled a nuanced understanding of the ways in which the CDS was implemented and embedded. NPT provided a framework that allowed us to understand the relationships involved in the implementation of the system both in the relationship of users to the technology and in the engagement and communication between different stakeholders. This allowed for a clear understanding of how the intervention involved work at different levels to maintain the system and allow for its continued sustainable use and gradual adoption into everyday practice. A further strength was the longitudinal design with a variety of stakeholders from different professions interviewed over time across multiple geographical locations. Whilst a number of different stakeholders, including prescribers in different roles (GPs, nurses and pharmacist) were interviewed, there could have been greater breadth across general practices. Many practice staff were drawn from two of the four targeted CCG areas due to recruitment difficulties related to GP time and workload. Whilst there was divergence of viewpoints across the data set with positive and negative comments there may have been some bias in the sampling. It is possible that the participants who agreed to be interviewed, in comparison to those who declined, were more active in using the system, more focused upon medication safety and therefore gave more positive responses. This bias may also have been present at CCG level where the staff who were interviewed had invested considerable time and effort in the implementation.

Implications for future research policy and practice

Our findings that prescribers balanced out the information from the alerts against the needs of patients adds new insights to support future design, implementation and sustainability of CDS systems by recognising and providing additional information that prescribers may need, such as alert/override and prescription histories, and more intuitive alert triage and presentation approaches for complex, polypharmacy patients.

Our findings indicated a difference of focus between CCG staff and GPs around the importance of cost and safety. Whilst CCG staff discussed wanting a strategy that included patient safety their main focus was around cost savings. For GPs it was more important that system effectively gave patient safety alerts. Future utilisation of the CDS and other similar interventions might look to mitigate against this difference of focus principally by examining the cost savings attached to safety improvement through for instance patients not requiring hospitalisation.

Our research highlighted that for this CDS system a great deal of work was undertaken at CCG level to ensure that prescribers at in GP practices received pertinent and relevant alerts and that this then reduced the possibility for alert fatigue. The careful monitoring of suites of alertswas therefore important for providing a system that would be accepted and could be maintained and sustained. CCG medicine management teams in the future might consider the importance of this profile management in sustaining this and similar interventions. This was a novel finding in that the use of CDS systems is not simply confined to the acceptance of alerts in general practices. Our research also highlighted therefore that different stakeholders undertook different activities in the implementation and use of the system with CCG staff involved in managing the CDS profile of alerts and GPs responding to the alerts as presented to them. This has important implications for future interventions and research in understanding the different work undertaken by different individuals and groups of stakeholders. Different prescribers utilised the CDS in general practices. Whilst in this qualitative work we did not explore variations in utilisation rates by different prescribers future research could further investigate the extent of use and clinical impact of this CDS and other systems. CDS implementation requires engagement from all stakeholders. Our findings have shown that a flow of communication between the CDS developers, CCGs and those working in general practice was crucial to the implementation and ongoing sustainability of the system. There were some experiences of implementation as ‘top-down’, and the avoidance of such approaches may support ‘buy-in’ from all stakeholders and increase the sustained use of the system. This could be achieved through local champions of the intervention. As pharmacist roles in general practice increase as a result of recent policy interventions [3638] they may be well suited to enter this role. The clear positives around the ability to feedback as a two-way process at all levels was also valued and should be considered in future implementation.

Our research was informed by NPT as a theoretical framework to aid the evaluation of the complex, interdependent social processes involved in the evaluation. We feel that future research might benefit from exploring technological interventions for medication safety from such theoretical backgrounds. This will enable research to focus upon the social processes of interventions that are not necessarily linear and may help to better understand the work that people undertake to ensure that interventions are sustained in the longer term.

Conclusions

The CDS system was understood as having a positive role in medication safety in providing relevant patient specific information to prescribers in a timely manner. Engagement between stakeholders was considered important for the initial and sustained use of the intervention by prescribers. At a strategic level, such sustained implementation might be enhanced by careful profile management of the suite of alerts in the system alongside more novel approaches to support what prescribers described as a balance between the prescribing alerts, their own judgement and the holistic needs of the patient. This was important because it indicates that the use of technology is not merely about the end users. There also needs to be more shared understanding of the purpose of the CDS between the CCGs and general practices particularly concerning safety benefits and cost saving. Importantly, we have highlighted how the use of the system operated within the contextual background of primary care. The findings here may support further development of CDS systems particularly in the how they might have further utility and adaptability for different contexts.

Supporting information

S1 Appendix. Interview topic guide.

(DOCX)

S2 Appendix. Coding framework.

(DOCX)

S1 Data. Data set—All extracts from coding.

(PDF)

S1 Checklist. COREQ research checklist.

(DOCX)

Acknowledgments

We are grateful for the support for the project from the CCGs and to all interview participants who kindly gave their time. We would like to thank Professor Carl May for his expert advice and support.

Data Availability

All relevant data are within the manuscript and its Supporting information files.

Funding Statement

This study was part of the NIHR PROTECT Programme grant. PRoTeCT is funded by the NIHR Programme Grants for Applied Research Programme (1214-20012). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

References

  • 1.World Health Organization. Medication without harm: WHO’s Third Global Patient Safety Challenge. 2017 WHO. http://www.who.int/patientsafety/medication-safety/en/ (accessed June 2020).
  • 2.Prescriptions Dispensed in the Community—Statistics for England, 2007–2017 National statistics, NHS Digital 2018 https://digital.nhs.uk/data-and-information/publications/statistical/prescriptions-dispensed-in-the-community/prescriptions-dispensed-in-the-community-england—2007—2017 (accessed June 2020).
  • 3.Spencer R, Bell B, Avery AJ, et al. Identification of an updated set of prescribing-safety indicators for GPs. Br J Gen Pract 2014;64(621):e181–90. 10.3399/bjgp14X677806 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jeffries M, Keers RN, Phipps DL, Williams R, Brown B, Avery AJ, et al. Developing a learning health system: insights from a qualitative process evaluation of a pharmacist-led electronic audit and feedback intervention to improve medication safety in primary care. PLOS ONE. 2018;13(10):e0205419. 10.1371/journal.pone.0205419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lainer M, Mann E. Sönnichsen A. Information technology interventions to improve medication safety in primary care: a systematic review. Int J Qual Health Care. 2013;25(5):590–8. 10.1093/intqhc/mzt043 [DOI] [PubMed] [Google Scholar]
  • 6.Jeffries M, Phipps D, Howard RL, et al. Understanding the implementation and adoption of an information technology intervention to support medicine optimisation in primary care: qualitative study using strong structuration theory BMJ Open 2017;7:e014810. 10.1136/bmjopen-2016-014810 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Greenhalgh T, Stones R, Swinglehurst D. Greenhalgh T., Swinglehurst D. and Stones R. Rethinking resistance to big IT: a sociological study of why and when healthcare staff do not use nationally mandated information and communication technologies. Health Service Delivery Research 2014; 2(39):1–86. [PubMed] [Google Scholar]
  • 8.Mair F, May C, O’Donnell C, Finch T, Sullivan F, Murray E. Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review Bull World Health Organ 2012;90:357–364. 10.2471/BLT.11.099424 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Silsand L, Ellingsen G. Complex decision making in clinical practice CSCW 2016 February 27th-March 2nd 2016 San Francisco CA, USA.
  • 10.Jia P Zhang L, Chen J, Zhao P, Zhang M. The effects of Clinical Decision Support Systems on Medication Safety: An Overview PLoS ONE 2016;11(12) e0167683. 10.1371/journal.pone.0167683 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Scott IA, Pillans PI, Barra M, Morris C. Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review. Therapeutic Advances in Drug Safety 2018;9(9):559–573. 10.1177/2042098618784809 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Avery AJ, Savelyich BSP, Sheikh A, et al. Identifying and establishing consensus on the most important safety features of GP computer systems: e-Delphi study. Inform Prim Care 2005;13(1):3–12. 10.14236/jhi.v13i1.575 [DOI] [PubMed] [Google Scholar]
  • 13.Van der Sijs H, Aarts J, Van Gelder T, Vulto A, Berg M. Overriding of Drug Safety Alerts in Computerized Physician Order Entry. J Am Med Inform Assoc. 2006;13:138–147. 10.1197/jamia.M1809 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hayward J, et al. ‘Too much, too late’: mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing. J Am Med Inform Assoc 2013;20:e76–e84. 10.1136/amiajnl-2012-001484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, et al. Overides of medication-related clinical decision support alerts in outpatients J am Md Inform Assoc 2014;21:487–491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Oakley A, et al. Process evaluation in randomised controlled trials of complex interventions. BMJ 2006;332:413–6. 10.1136/bmj.332.7538.413 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Moore G.F, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ 2015;350: h1258. 10.1136/bmj.h1258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Grant A, Treweek S, Dreischulte T, et al. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials 2013;14:15. 10.1186/1745-6215-14-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cresswell KM, Sadler S, Rodgers S, et al. An embedded longitudinal multi-faceted qualitative evaluation of a complex cluster randomized controlled trial aiming to reduce clinically important errors in medicines management in general practice. Trials 2012;13:78. 10.1186/1745-6215-13-78 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.May C, Finch T. Implementing, Embedding, and Integrating Practices: An Outline of Normalization Process Theory. Sociology 2009;43:535–554. [Google Scholar]
  • 21.Trinkley KE, Blakeslee WW, Matlock DD, Kao DP, Van Matre AG, Harrison R, et al. Clinician preferences for computerised clinical decision support medications in primary care: a focus group study BMJ Health Care Inform 2019;26. 10.1136/bmjhci-2019-000015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Clinical Commissioning Groups (CCGS) NHS UK https://www.england.nhs.uk/ccgs/ (Accessed June 2020).
  • 23.May CR. Agency and implementation: Understanding the embedding of healthcare innovations in practice Soc Sci Med 2013;78:26–33. 10.1016/j.socscimed.2012.11.021 [DOI] [PubMed] [Google Scholar]
  • 24.May CR. Towards a general theory of implementation. Implement Sci 2013;8:18. 10.1186/1748-5908-8-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bracher M, May CR. Implementing and Embedding Health Informatics systems–Understanding Organizational Behaviour Change Using Normalization Process Theory in Applied Interdisciplinary Theory in Health Informatics Scott P, De Keizer N, Georgiou A (Eds) IOS Press; Amsterdam. [DOI] [PubMed]
  • 26.Grant A, Dreischulte T. Guthrie B. Process evaluation of the data-driven quality improvement in primary care (DQIP) trial: active and less active ingredients of a multi-component complex intervention to reduce high risk primary care prescribing. Implement Sci 2017;12,4. 10.1186/s13012-016-0531-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ong BN, Hodgson D, Small N, Nahar P, Sanders C Implementing a digital patient feedback system: an analysis using normalisation process theory BMC Health Services Research 2020;20:387. 10.1186/s12913-020-05234-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Braun V, Clark V Using thematic analysis in psychology Qualitative Research in Psychology 2006; 3(2):77–101. [Google Scholar]
  • 29.King N. ‘Doing template analysis’, in Symon G, Cassell C. Editors. Qualitative Organizational Research: Core Methods and Current Challenges. London: Sage; 2012. [Google Scholar]
  • 30.Van der Velde S Heselmans A, Delvaux N, Brandt L, Marco-Ruiz L, Spitaels D et al., A systematic review of trials evaluating success factors of interventions with computerised clinical decision support Implementation Science 2018;13:114. 10.1186/s13012-018-0790-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Monique W, Smeulens M, Vermeulen H, Peute LW. Effects of clinical decision support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings J AM Med Inform Assoc 2011;18:327–334. 10.1136/amiajnl-2011-000094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Orlikowski WJ, Scott SV. Sociomateriality: challenging the separation of technology, work and organization. The Academy of Management Annals. 2008;2(1):433–474. [Google Scholar]
  • 33.Petrakaki D, Klecun E, Cornford T. Changes in healthcare professional work afforded by technology: The introduction of a national electronic patient record in an English hospital. Organization 2016;23(2), 206–226. [Google Scholar]
  • 34.Petrakaki D, Waring J, Barber N. Technological affordances of risk and blame: the case of the electronic prescription service in England Sociology of Health and Illness 2014;36(5):703–718. 10.1111/1467-9566.12098 [DOI] [PubMed] [Google Scholar]
  • 35.Timmermans S, Berg M. The practice of medical technology. Sociology of Health and Illness. 2003;25:97–114. 10.1111/1467-9566.00342 [DOI] [PubMed] [Google Scholar]
  • 36.NHS England General Practice Forward View. NHS 2016 https://www.england.nhs.uk/gp/gpfv/ (Accessed13th February 2018).
  • 37.Butterworth J, Sansom A, Sims L, Healey M, Kingsland E, Campbell J. Pharmacists’ perceptions of their emerging general practice roles in UK primary care: a qualitative interview study. Br J Gen Pract 2017;e650. 10.3399/bjgp17X691733 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Tan ECK, Stewart K, Elliot RA, George J. Pharmacist consultations in general practice clinics: The Pharmacists in Practice study (PIPS) Research in Social and Administrative Pharmacy 2014;10(4), 623–632. 10.1016/j.sapharm.2013.08.005 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Simone Borsci

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

15 Dec 2020

PONE-D-20-35487

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory

PLOS ONE

Dear Dr. Jeffries,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Reviewers agreed that this work is interesting, nevertheless, more explanations are needed regarding methodology and the replicability of the results e.g., items of the interviews, coding etc. Moreover, a more detail analysis is asked by both the reviewers regarding the four themes/constructs. I suggest authors should try to comply with all the indications of both the reviewers as these are quite reasonable and well aligned. 

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: N/A

Reviewer #2: N/A

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Reviewer #1: Yes

Reviewer #2: No

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Reviewer #2: Yes

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Reviewer #1: Thanks for providing the opportunity to review manuscript entitled “The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory”. This qualitative study evaluates the application of a clinical decision support system in general practices in the English National Health Service (NHS). I have a number of comments on the manuscript as follows.

Major comments:

1. Use of the Normalisation Process Theory: The authors have repeatedly highlighted the use of the NPT including in the title, abstract and all sections of the manuscript. However, they have neither given details of the NPT nor a strong justification of it as a theoretical framework for use in the current study. Table 1 provides includes various constructs of the NPT but there is limited explanation/description of the constructs. No source is given for Table 1.

2. Data are collected from different types of participants representing diverse organisations. A flow diagram showing the types and number of organisations and participants would be useful.

3. Data were collected by semi-structured interviews but and the interview guide/schedule was guided by the NPT but there is no information about the content of the interview guide/schedule its piloting if any.

4. The authors created codes and themes from qualitative interviews data. Inclusion of a map / dendrogram of codes and themes would help readers and audience especially senior policy makers, managers and clinicians who have very little time to read elaborate qualitative quotes reported in the manuscripts

5. Results section reports a number of themes and lengthy quotes, which have been reported under four major constructs of the NPT. Presentation of these themes in a grid comprising the NPT constructs could be helpful. NPT constructs reported in Table include sub-constructs, which might be useful to report the themes developed under the relevant sub-constructs.

6. Results show that cost saving was the main aim of the CCGs while patient safety was the main objective of GPs to use the CDS system. These are two divergent objectives, which need to be discussed, especially how different views were / could be reconciled and whether there would be any implications for addressing these issues.

7. Neither the introduction section nor the discussion section provided a review of current literature on the use, advantages and limitations of the NPT in the context of CDS system.

Minor comments

8. In the abstract, methods section does not report the number of different participating organisations, which need to be reported for each type of organisation involved. This section should report the mean/median duration of a typical interview. It is not clear what does the term ‘Staff stakeholders’ refers to. The author report that they created “themes developed into frameworks’. Should the framework be constructs?

9. BACKGROUND: Please spell out the ‘NHS’ (line 78, page 4).

10. METHODS: The authors report “Practices and CCG areas” (lines 128, page 6). Should this be ‘General practices and CCG area’?

11. METHODS: The authors report that “Semi-structured interviews were conducted with a range of stakeholders” (lines 154-55, page 6). Please specify who and how many were they.

12. Could you please add the date of ethics approval?

13. Results: There were four group interviews (lines 199, page 8). Could you please report the number of interviewees in each of these group interviews and who the participants were?

14. RESULTS: The authors mapped the main findings into 4 constructs of the NPT (liens 202-, page 8), which suggests that all themes fitted in the four constructs. Wondering whether there were there any issues that did not fit in the give NPR constructs. If so, please report them.

15. Some quotes are very long e.g. quote from CCG pharmacist 4 – lines 406-419 and GP” – lines 527-538. Long quotes could be reduced by truncating them.

16. RESULTS: The authors report “Learning was helped by depersonalised feedback.” (Lines 596, page 21). Who and how depersonalised feedback was given?

17. DICUSSION: It is hard to find the novelty and contributions of the study to the body of knowledge.

18. STRENGTHS & LIMITATIONS: The strengths are mostly around the use of NPT whereas the strengths should be about the findings of the study.

Reviewer #2: This paper presents a qualitative inquiry into factors surrounding the use of a clinical decision support system for medication. The authors described a broad effort to interview a range of participants with differing perspectives, all taken from the development, implementation, and use of a clinical decision support system in English care contexts. Interviews conducted from the perspective of Normalisation Process Theory are presented, with numerous quotes used to paint a rich picture of respondents' attitudes toward these systems. The paper is well-written, the methods are clear, and the results seem plausible. That said, I have some concerns with the methodology and the presentation. of the results.

Regarding methodology, some additional context on normalization process theory is needed. The phrase "middle-range theory" may be familiar to sociologists, but clinical and biomedical informatics readers might benefit from an introduction. Specifically, how does NPT add to theories such as UTAUT, which assesses intention to use through both individual and organizational perspectives, or distributed cognition theories discussing how systems are used in organizational contexts? None of this is to say that NPT is inappropriate, but the paper would benefit from some deeper discussion of the methods.

The description of the results made for an interesting read - the quotes were informative and thought-provoking. However, the results section read more like a preliminary draft than a finished paper - far too many quotes and far too little structure. Although I can certainly understand the desire to include too much discussion in the results section, I would have found it helpful to have more summary and analysis. Perhaps some tables summarizing key themes under each of the four constructs? Also, there was very little clarity of how these concepts and observations differed across the different groups of respondents.

These difficulties persist into the discussion. Although the authors appropriately provide a nice description of how their results are consistent with observations from prior studies, there is less clarity as to the novel insights provided by this paper. It would be helpful if the authors were able to summarize their contributions more concisely.

Regarding the limitations of this study, I am concerned that the authors do not include any discussion of the utilization of the systems involved. Extensive prior literature, and some of the comments in this paper, clearly show that clinicians often disregard drug related alerts. This suggests that there may be a disconnect - it's entirely possible that some of the positive statements about the CDS systems might have, in fact, been made by clinicians who regularly dismissed or ignored system recommendations. Ideally, this qualitative detail might be accompanied by some assessments of the rates of utilization of the system, but I understand that this data might be hard to get. However, the authors should consider a careful look into the possibility that the interview results are biased, particularly since they were conducted outside of care contexts and may be impacted by demand characteristics (ie, the tendency of respondents to answer in a manner that might make them "look good" to the interviewers). Some discussion of these questions would be appropriate.

Finally, regarding data sharing, more detail is needed. Even if transcripts of interviews cannot be shared, the authors should be able to share their codebook, any summary statistics, and other related material.

- data sharing

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PLoS One. 2021 May 3;16(5):e0250946. doi: 10.1371/journal.pone.0250946.r002

Author response to Decision Letter 0


14 Mar 2021

PONE-D-20-35487

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory

PLOS ONE

Dear Dr Borsci,

Re: ‘The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory’

Thank you for the thoughtful and constructive feedback on our manuscript, which we have carefully considered. We have in the light of this feedback made a number of revisions to the manuscript, which are detailed in the table below.

We are confident that these revisions will be to your satisfaction, but please do contact me if you require any further clarification or revisions.

Yours sincerely,

Mark Jeffries, on behalf of the co-authors

Editor comments Response/Changes made Location of change in tracked changed manuscript

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf We have checked the formatting n/a

2. When reporting the results of qualitative research, we suggest consulting the COREQ guidelines: http://intqhc.oxfordjournals.org/content/19/6/349. In this case, please consider including more information on the number of interviewers, their training and characteristics. Moreover, please provide the interview guide used as a Supplementary file. We have amended the COREQ and added the detail about the interviewer to the manuscript. In the study design section of the methods, we have added the following:

“All interviews were conducted solely by MJ, a researcher with extensive experience in conducting research related to medication safety and the use of technology and expertise in qualitative research interviewing. Interviews took place at the participants’ usual place of work (general practice, CCG offices) or at university premises (two interviews). No interviewees were known to MJ prior to the interview.”

The interview guide is now added as a supplementary file. P7 Lines 166 -171

3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter. We have included two supplementary files. One detailing the coding framework and one the codebook showing how those codes matched to quotations from participants.

We have changed our data availability statement which now reads.

“We have provided a supplementary file of the coding framework. In addition we have provided a supplementary file of all the extracts from the transcripts detailed per theme, sub theme and code. This extensive and detailed document provides a data set from which the study can be fully replicated.

Full transcripts are not available to preserve the anonymity of participants as per our ethics. This is a qualitative study confined to relatively small groups of health care professionals in specific roles, particularly CCG staff. Making the full data set publicly available could therefore potentially lead to the identification of participants. Our ethics approval was granted based on the anonymity of the individuals consenting to participate and specifically referred to only anonymised quotations from transcripts being made available as we have in the supplementary file. As such the participants did not consent to full their transcript being made publicly available"

Cover letter

4. Please include a copy of Table 2 which you refer to in your text on page 8. This was originally a typo and should have read Table 1, however we have now included a further tables. Table 1 details the NPT constructs, Table 2 the participants and Table 3 how the findings here map to the NPT constructs. Page 8

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

We have added captions for our supporting files at the end of the manuscript. Page 36

Reviewer One

Major Comments

1. Use of the Normalisation Process Theory: The authors have repeatedly highlighted the use of the NPT including in the title, abstract and all sections of the manuscript. However, they have neither given details of the NPT nor a strong justification of it as a theoretical framework for use in the current study. Table 1 provides includes various constructs of the NPT but there is limited explanation/description of the constructs. No source is given for Table 1. Thank you for these helpful comments. We have included additional text to help the reader with further details of NPT. We have added to the justification for why we have used it here. The subsection in the Methods on page 7 detailing the theoretical framework now reads:

“Theoretical frameworks for technological interventions have seen technology, people and organisations as separate things which operate at multiple levels but do not do so through interaction and have often regarded these as separate homogenous elements. [7]. Technological intervention can be observed in ways that understand it as part of complex and interdependent social processes. [6,7] Normalization Process Theory (NPT) has been used to understand the ways new technologies and work practices are implemented and focuses upon the social processes of implementation. [4, 22] Interventions involve changes in the actions that people do so that the new behaviours involved in the new intervention become adopted. [20] NPT suggests that interventions are adopted and implemented because of the work and actions people undertake, both individually and collectively, to integrate the intervention into routine practice. [20, 23-25] NPT provides a rational framework and that allows for an understanding of how individuals and groups make sense of a new intervention and work together to build confidence in the new practice and change their actions and behaviours in order to enable it to happen. [20, 23-25] Implementation of a new intervention involves changes in human interactions with material things, changes in human relationships, changes in the rules and social norms that make actions possible and changes in the ways systems are understood and defined. [25]

NPT is built upon four constructs: coherence – the ways in which the intervention is understood, cognitive participation – the ways people work together to put the new intervention into practice, collective action – the ways people work to operationalise the new intervention, and reflexive monitoring – how people evaluate the new practice and work to sustain it. These constructs are further as described in Table 1. NPT has been used in a number of evaluations of health care interventions including those for prescribing safety and patient digital feedback and has been said to be particularly useful for drawing out the multi-faceted nature of interventions. [4, 26, 27] In recent research NPT was considered useful in providing insights into how relationships and communication between health professionals could help drive the implementation and sustainability of a technological intervention utilising an audit and feedback system for medication safety in primary care. [4] It was therefore considered an appropriate theoretical framework through which to explore the use of a CDS in primary care”

We have now provided the sources for Table 1 Pages 7, line 175 -Page 8, line 205

Page 35

2. Data are collected from different types of participants representing diverse organisations. A flow diagram showing the types and number of organisations and participants would be useful.

We have provided a table (Table 2) of participants broken down by role and CCG region. Page 36

3. Data were collected by semi-structured interviews but and the interview guide/schedule was guided by the NPT but there is no information about the content of the interview guide/schedule its piloting if any.

Thank you for this helpful comment we agree that more was needed here. The interview guide was informed by NPT and was developed from previous literature. The authors have extensive previous experience of developing topic guides for similar studies (eg Reference 4 Jeffries et al PLOS ONE 2018) and drew upon this experience. The interview was not piloted but was reviewed throughout data collection. We have changed the wording of the first part of the data collection section to reflect this. This now reads:

“The semi-structured interview schedule was informed by Normalisation Process Theory (NPT) [22] and developed through and discussions between the authors and reading of relevant literature. [4-8, 14]. The interview schedule (included as supplementary file S1 Appendix – Interview Topic Guide) was designed to illicit how people understood the value of the CDS, how it had been implemented, the work in using the system and how the intervention might be sustained. The interview schedule was reviewed iteratively throughout data collection to ensure it continued to be appropriate”.

We have also included the interview schedule as a supplementary file.

Page 6, line 155 - Page 7 line 161

Page 37

4. The authors created codes and themes from qualitative interviews data. Inclusion of a map / dendrogram of codes and themes would help readers and audience especially senior policy makers, managers and clinicians who have very little time to read elaborate qualitative quotes reported in the manuscripts We have included two supplementary files. One detailing the coding framework and one the codebook showing how those codes matched to quotations from participants. Page 37

5. Results section reports a number of themes and lengthy quotes, which have been reported under four major constructs of the NPT. Presentation of these themes in a grid comprising the NPT constructs could be helpful. NPT constructs reported in Table include sub-constructs, which might be useful to report the themes developed under the relevant sub-constructs. We agree that this would be helpful. We have included a new table (Table 3) which maps our findings to the NPT constructs. The findings mapped broadly onto the constructs but not onto each component or subconstruct as detailed in the table.

In addition, in the results we have added a description after the subheading for each NPT construct as to how the themes were mapped to the components in that construct. Page 36

Page 9 Lines 246-252; Page 16 Lines 452-454; Page 19 Lines 535-538; Page 23 lines 646-648.

6. Results show that cost saving was the main aim of the CCGs while patient safety was the main objective of GPs to use the CDS system. These are two divergent objectives, which need to be discussed, especially how different views were / could be reconciled and whether there would be any implications for addressing these issues. Thank you for this helpful point. We have reflected in the discussion. We have created a new subsection here focusing upon the implications of our study on future research policy and practice. To this we have added the following paragraph:

“Our findings indicated a difference of focus between CCG staff and GPs around the importance of cost and safety. Whilst CCG staff discussed wanting a strategy that included patient safety their main focus was around cost savings. For GPs it was more important that system effectively gave patient safety alerts. Future utilisation of the CDS and other similar interventions might look to mitigate against this difference of focus principally by examining the cost savings attached to safety improvement through for instance patients not requiring hospitalisation.”

In addition, we have added this sentence to the conclusions:

“There also needs to be more shared understanding of the purpose of the CDS between the CCGs and general practices particularly concerning safety benefits and cost saving”.

Page 28-29

Page 28 Lines 803-809

Page 30 861-864

7. Neither the introduction section nor the discussion section provided a review of current literature on the use, advantages and limitations of the NPT in the context of CDS system. We have extensively rewritten the section on NPT in the methods (please see our response to point 1 above) and this now has references to other literature that have used NPT and a justification for the use here. We also now reference NPT in the introduction.

The merits of using NPT are already considered in the discussion but we have added to this. To the strengths and limitations subsection we have added:

“NPT provided a framework that allowed us to understand the relationships involved in the implementation of the system both in the relationship of users to the technology and in the engagement and communication between different stakeholders.”

We have also added to the new subsection on implications a paragraph about the use of such theoretical frameworks. This reads:

“Our research was informed by NPT as a theoretical framework to aid the evaluation of the complex, interdependent social processes involved in the evaluation. We feel that future research might benefit from exploring technological interventions for medication safety from such theoretical backgrounds. This will enable research to focus upon social processes that are not necessarily linear and may help to better understand the work that people undertake to ensure that interventions are sustained in the longer term.”

Introduction Page 5 lines 106 -108 Methods Pages 7, line 175 - Page 8, line 205.

Page 27 Lines 780-782

Page 29 Lines 835-840

Minor comments

9. BACKGROUND: Please spell out the ‘NHS’ (line 78, page 4). Thank you. We have made this change Page 4 line 78

10. METHODS: The authors report “Practices and CCG areas” (lines 128, page 6). Should this be ‘General practices and CCG area’? We have changed this as you suggest. Thank you. Page 6 line 131

11. METHODS: The authors report that “Semi-structured interviews were conducted with a range of stakeholders” (lines 154-55, page 6). Please specify who and how many were they. The different stakeholders group and participant numbers are detailed at the start of the results and now in table 2 that we have included in response to your comment 2 above. We do however agree it would be useful to have a general comment on who these stakeholders were here and have revised the text accordingly. This now reads:

“Semi-structured interviews were conducted with a range of stakeholders – CCG staff including Pharmacists and Pharmacy Technicians, GP Staff including GPs, Nurses and Pharmacists and staff from the software developers.” Results Page 9, 235-240

Methods Page 7, Lines 161-163

12. Could you please add the date of ethics approval? We have added the dates of our ethical and HRA approval. Methods Page 9 Lines 222-224

13. Results: There were four group interviews (lines 199, page 8). Could you please report the number of interviewees in each of these group interviews and who the participants were? There were in fact 5 group interviews. We have added the following text to the start of the results.

“The 5 group interviews each involved staff working at the same CCG or general practice (Group interview 1 - CCG pharmacist and CCG Pharmacy Technician; Group interview 2 – 3 GPs; Group interview 3 - GP and GP Pharmacist Group interview 4 CCG Pharmacist and CCG data analyst Group interview 5 Follow up to group interview 3 with GP and GP Pharmacist. Stakeholder interviews are further described in table 2.” Results Page 9, 235-240

14. RESULTS: The authors mapped the main findings into 4 constructs of the NPT (liens 202-, page 8), which suggests that all themes fitted in the four constructs. Wondering whether there were there any issues that did not fit in the give NPR constructs. If so, please report them. Thank you for this point. We did not find themes that we were not able to map onto the NPT constructs. We trust that table 3 helps to clarify how the results mapped to the NPT constructs.

15. Some quotes are very long e.g. quote from CCG pharmacist 4 – lines 406-419 and GP” – lines 527-538. Long quotes could be reduced by truncating them. We agree that the manuscript would be improved by reducing the length of some of the quotations. We have made several changes to the results, truncating or deleting quotations and rewriting several sections as detailed in the revised manuscript. Results -Pages 9 -25

16. RESULTS: The authors report “Learning was helped by depersonalised feedback.” (Lines 596, page 21). Who and how depersonalised feedback was given? We have deleted the comment about depersonalised feedback as on reflection it does not fit with our comments in the results at that point or the quotation from the prescriber. Thank you for this helpful comment. Page 24 lines 688

17. DICUSSION: It is hard to find the novelty and contributions of the study to the body of knowledge. We have rewritten several parts of the discussion to provide some clarity.

We have restructured the discussion and included a subsection detailing the implications for future research policy and practice. We feel this section now draws the reader to the important and novel findings of our study and how it raises implications.

This subsection reads:-

“Our findings that prescribers balanced out the information from the alerts against the needs of patients adds new insights to support future design, implementation and sustainability of CDS systems by recognising and providing additional information that prescribers may need, such as alert/override and prescription histories, and more intuitive alert triage and presentation approaches for complex, polypharmacy patients.

Our findings indicated a difference of focus between CCG staff and GPs around the importance of cost and safety. Whilst CCG staff discussed wanting a strategy that included patient safety their main focus was around cost savings. For GPs it was more important that system effectively gave patient safety alerts. Future utilisation of the CDS and other similar interventions might look to mitigate against this difference of focus principally by examining the cost savings attached to safety improvement through for instance patients not requiring hospitalisation.

Our research highlighted that for this CDS system a great deal of work was undertaken at CCG level to ensure that prescribers at in GP practices received pertinent and relevant alerts and that this then reduced the possibility for alert fatigue. The careful monitoring of suites of alerts was therefore important for providing a system that would be accepted and could be maintained and sustained. CCG medicine management teams in the future might consider the importance of this profile management in sustaining this and similar interventions. Our research also highlighted therefore that different stakeholders undertook different activities in the implementation and use of the system with CCG staff involved in managing the CDS profile of alerts and GPs responding to the alerts as presented to them. This has important implications for future interventions and research in understanding the different work undertaken by different individuals and groups of stakeholders. Different prescribers utilised the CDS in general practices. Whilst in this qualitative work we did not explore variations in utilisation rates by different prescribers future research could further investigate the extent of use and clinical impact of this CDS and other systems.

CDS implementation requires engagement from all stakeholders. Our findings have shown that a flow of communication between the software developers, CCGs and those working in general practice was crucial to the implementation and ongoing sustainability of the system. There were some experiences of implementation as ‘top-down’, and the avoidance of such approaches may support ‘buy-in’ from all stakeholders and increase the sustained use of the system. This could be achieved through local champions of the intervention. As pharmacist roles in general practice increase as a result of recent policy interventions [36, 37, 38, ] they may be well suited to enter this role. The clear positives around the ability to feedback as a two-way process at all levels was also valued and should be considered in future implementation.

Our research was informed by NPT as a theoretical framework to aid the evaluation of the complex, interdependent social processes involved in the evaluation. We feel that future research might benefit from exploring technological interventions for medication safety from such theoretical backgrounds. This will enable research to focus upon the social processes of interventions that are not necessarily linear and may help to better understand the work that people undertake to ensure that interventions are sustained in the longer term.”

We have also added to the conclusion, which now reads:

“The CDS system was understood as having a positive role in medication safety in providing relevant patient specific information to prescribers in a timely manner. Engagement between stakeholders was considered important for the initial and sustained use of the intervention by prescribers. At a strategic level, such sustained implementation might be enhanced by careful profile management of the suite of alerts in the system alongside more novel approaches to support what prescribers described as a balance between the prescribing alerts, their own judgement and the holistic needs of the patient. This was important because it indicates that the use of technology is not merely about the end users. There also needs to be more shared understanding of the purpose of the CDS between the CCGs and general practices particularly concerning safety benefits and cost saving. Importantly, we have highlighted how the use of the system operated within the contextual background of primary care. The findings here may support further development of CDS systems particularly in the how they might have further utility and adaptability for different contexts.” Page 25 lines 719-732, Page 26 Lines 756-758, Page 27 Lines 763-765

Pages 28 Line 797 -Page 29 line 840

Page 29 Line 855 - Page 30 Line 867

18. STRENGTHS & LIMITATIONS: The strengths are mostly around the use of NPT whereas the strengths should be about the findings of the study. We think that it is standard practice for the ‘strengths and limitations’ section of the discussion to focus on the research methodology (and methods), which in our case includes our theoretical framework. From our experience, authors do not usually focus on the findings in this section of a manuscript. Therefore, we do not plan to include the findings of the study in this section.

Reviewer 2

Regarding methodology, some additional context on normalization process theory is needed. The phrase "middle-range theory" may be familiar to sociologists, but clinical and biomedical informatics readers might benefit from an introduction. Specifically, how does NPT add to theories such as UTAUT, which assesses intention to use through both individual and organizational perspectives, or distributed cognition theories discussing how systems are used in organizational contexts? None of this is to say that NPT is inappropriate, but the paper would benefit from some deeper discussion of the methods.

Thank you for the helpful comments around our theoretical approach. We felt that NPT would be most appropriate because it is a framework that helps to understand the collective work that people do. It also is not limited to technology and whilst our paper is about a technological intervention the focus here is on implementation, sustainability and the embedding of it into everyday use. We feel that NPT captured the important communication and collaborative aspects of the intervention in relation to this focus. We also feel that distributed cognition theories would be more about individual responses to using the technology, whilst accepting that would be within an organisational context. UTAUT like other acceptance theories would see technology and people as discrete entities. In contrast with NPT we felt we could focus more holistically on the social processes involved in the intervention and more upon the interaction and interdependence of technology and users. We have changed the section on NPT in the methods and included more detail. We trust the changes we have made make this clearer. Please see our response to reviewer 1 point above.

Pages 7, line 175 -Page 8, line 205

The description of the results made for an interesting read - the quotes were informative and thought-provoking. However, the results section read more like a preliminary draft than a finished paper - far too many quotes and far too little structure. Although I can certainly understand the desire to include too much discussion in the results section, I would have found it helpful to have more summary and analysis. Perhaps some tables summarizing key themes under each of the four constructs? Also, there was very little clarity of how these concepts and observations differed across the different groups of respondents.

We have included more summary analysis of the results within the results section to provide further structure. In addition, in the results we have added a description after the subheading for each NPT construct as to how the themes were mapped to the components in that construct. The quotations have been shortened or deleted where possible. We feel this now provides more structure and greater clarity to the results. We have also included a table (table 3) summarizing the themes within the NPT constructs. We have now reflected upon differences between stakeholders and stakeholder groups in the discussion particularly in the new subsection on implications for future research policy and practice. Please see response to reviewer 1 point 17 above. Results - Page 9 Lines 246-252; Page 16 Lines 452-454; Page 19 Lines 535-538; Page 23 lines 646-648.

Implications for future research policy and practice Pages 28 Line 797 -Page 29 line 840

These difficulties persist into the discussion. Although the authors appropriately provide a nice description of how their results are consistent with observations from prior studies, there is less clarity as to the novel insights provided by this paper. It would be helpful if the authors were able to summarize their contributions more concisely. We have made changes in the discussion to address this. We have rewritten parts of the first and third paragraphs of the discussion to provide clarity on the key findings of our research and provide more clarity.

We have created a new subsection outlining the implications for future research policy and practice. Please see response to reviewer 1 point 17 above. Discussion Page 25 lines 719-732, Page 26 Lines 756-758, Page 27 Lines 763-765.

Implications for future research policy and practice Pages 28 Line 797 -Page 29 line 840

Regarding the limitations of this study, I am concerned that the authors do not include any discussion of the utilization of the systems involved. Extensive prior literature, and some of the comments in this paper, clearly show that clinicians often disregard drug related alerts. This suggests that there may be a disconnect - it's entirely possible that some of the positive statements about the CDS systems might have, in fact, been made by clinicians who regularly dismissed or ignored system recommendations. Ideally, this qualitative detail might be accompanied by some assessments of the rates of utilization of the system, but I understand that this data might be hard to get. However, the authors should consider a careful look into the possibility that the interview results are biased, particularly since they were conducted outside of care contexts and may be impacted by demand characteristics (ie, the tendency of respondents to answer in a manner that might make them "look good" to the interviewers). Some discussion of these questions would be appropriate. Thank you for these helpful points. We feel that prescribers gave both negative and positive responses in interviews and there was a variation of views across the data set. To reflect upon the possibility of bias we have added the following to the strengths and limitations section:

“Whilst there was divergence of viewpoints across the data set with positive and negative comments there may have been some bias in the sampling. It is possible that the participants who agreed to be interviewed, in comparison to those who declined, were more active in using the system, more focused upon medication safety and therefore gave more positive responses. This bias may also have been present at CCG level where the staff who were interviewed had invested considerable time and effort in the implementation”.

In the new subsection on implications for future research, policy and practice where we discuss differences and a disconnect between different stakeholders with regard to cost and safety, and how different stakeholders were involved in the intervention in different ways – CCG staff maintain the profile of alerts and GP staff responding to alerts in practice.. Here we make recommendations for future implementation. Please see response to reviewer 1 point 17 above

Whilst in this qualitative work we did not explore variations in utilisation rates by different prescribers we agree that future research could further investigate the extent of use and clinical impact of this CDS and other systems. We have added to the implications subsection to reflect on this.

Page 2, lines 787-793

Implications for future research policy and practice Pages 28 Line 797 -Page 29 line 840

Finally, regarding data sharing, more detail is needed. Even if transcripts of interviews cannot be shared, the authors should be able to share their codebook, any summary statistics, and other related material. We have included two supplementary files. One detailing the coding framework and one the codebook showing how those codes matched to quotations from participants.

Attachment

Submitted filename: PONE-D-20-35487_Response to reviewers comments.docx

Decision Letter 1

Simone Borsci

11 Apr 2021

PONE-D-20-35487R1

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory

PLOS ONE

Dear Dr. Jeffries,

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Simone Borsci, Ph.D.

Academic Editor

PLOS ONE

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Reviewer #1: Thanks to the authors for revising and resubmitting the manuscript entitled “The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory”, which is improved. However, it needs further revision as suggested below.

TITLE:

The title of the manuscript is too long and it needs to be shortened such as removing ‘Using Normalisation Process Theory’.

ABSTRACT:

The abstracts need improvement especially the findings section by reporting the key findings as per the major themes and / or constructs of the Normalisation Process Theory, as reported in Table 3 and the main text. For example: COHERENCE (purpose of the system like Enhancing medication safety and improving cost effectiveness; Relationship of users to the technology; Engagement and communication between different stakeholders), COGNITIVE PARTICIPATION (Management of the profile of alerts) , COLLECTIVE ACTION (Prescribing in general practice; patient and population characteristics and engagement with patients; knowledge) REFLEXIVE MONITORING (Sustaining the use of the CDS through maintenance and customisation; Learning and behaviour change).

The authors also mention that “there was a range of contextual factors’, which have not been reported. Could the authors the key contextual factors identified.

In addition, background and methods sections in the abstract may be shortened.

Conclusion: The conclusion only focuses on the safety and alerts but it does not reflect anything about cost saving which was the primary aim of the CCGs. This aspect needs to be reflected in the conclusion in the abstract, as reported in the conclusion section in the main text.

BACKGROUND:

CDC (page 4, lines 84-85): Could the authors add a citation/reference about the CSD system evaluated. In addition, the authors call the CDS sometimes as a system (page 4, line 87 and so on) and sometimes as software (page 4, lines 84-85). Is it a system or software? Please be precise and consistent.

CCG (page 4, line 87), Please spell out the acronym CCG here as it is mentioned for the first time, which has been spelled out later on page 5 (line 123).

METHODS:

National Health Service (Pages 5-, lines 125-126): Acronym for the term ‘National Health Service’ has been given already in page 4, line 78; hence use only the acronym here (lines 125-126, page 5-6)

Follow-up interviews (page 7, lines 1163-64): Follow-up interviews were conducted about 12 months after the first interviews. This is a long period. Did the follow-up interviews were conducted with the same persons / interviewees working on the same positions as in the first interviews? Were there any new people, and how many, involved in the follow-up interviews.

Shopping vouchers (page 7, lines 172-173): The authors paid £20 shopping vouchers to participants. Was the payment included in the ethics application? Did the authors paid/ gave vouchers to all participants or some participants and who were they. It seems unbelievable that a GP will accept/ask for £20 voucher for an interview! Most of the participants were employees of either the NHS or CCGs hence paid by them so why they were reimbursed for their time in the study?

Acronym of Normalisation Process Theory: The authors have reported Normalisation Process Theory (NPT) on page 4, lines 107-08 and again they report Normalisation Process Theory (NPT) on page 7, line 179). Please report only NPT on page 7, line 179.

DISCUSSION:

Strengths and limitations (page 27, lines 776-777): The authors have stated that This was the first qualitative study to utilise NPT to understand the complex processes that influenced the implementation and sustained use in primary care of a CDS system“. However, in the Methods section - Theoretical Framework: Normalization process theory (page 8, lines 192-205), they have reported that the NPT has been used in the evaluations of several health care interventional studies so why this study is the first to use the NPT in this study. The authors may check this claim.

Reviewer #2: (No Response)

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Reviewer #1: Yes: Syed Ghulam Sarwar Shah

Reviewer #2: Yes: Harry Hochheiser

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PLoS One. 2021 May 3;16(5):e0250946. doi: 10.1371/journal.pone.0250946.r004

Author response to Decision Letter 1


15 Apr 2021

PONE-D-20-35487

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory

PLOS ONE

Dear Dr Borsci,

Re: ‘The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation Using Normalisation Process Theory’

Thank you for the further feedback on our manuscript, which we have carefully considered. We have in the light of this feedback made further revisions to the manuscript, which are detailed in the table below.

We are confident that these revisions will be to your satisfaction, but please do contact me if you require any further clarification or revisions.

Yours sincerely,

Mark Jeffries, on behalf of the co-authors

Reviewer comments Response/Changes made Location of change in tracked changed manuscript

TITLE:

The title of the manuscript is too long and it needs to be shortened such as removing ‘Using Normalisation Process Theory’.

We have taken appreciate that the title is quite long. We are therefore happy to change the title to: “The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation” Title - Page 1

ABSTRACT:

The abstracts need improvement especially the findings section by reporting the key findings as per the major themes and / or constructs of the Normalisation Process Theory, as reported in Table 3 and the main text. For example: COHERENCE (purpose of the system like Enhancing medication safety and improving cost effectiveness; Relationship of users to the technology; Engagement and communication between different stakeholders), COGNITIVE PARTICIPATION (Management of the profile of alerts) , COLLECTIVE ACTION (Prescribing in general practice; patient and population characteristics and engagement with patients; knowledge) REFLEXIVE MONITORING (Sustaining the use of the CDS through maintenance and customisation; Learning and behaviour change).

Thank you for this point. We have rewritten the results section of the abstract which now reads:

“Thirty-nine interviews were conducted either individually or in groups, with 33 stakeholders, including 11 follow-up interviews. Eight themes were interpreted in alignment with the four NPT constructs : Coherence (The purpose of the CDS: Enhancing medication safety and improving cost effectiveness; Relationship of users to the technology; Engagement and communication between different stakeholders); Cognitive Participation (Management of the profile of alerts); Collective Action (Prescribing in general practice, patient and population characteristics and engagement with patients; Knowledge);and Reflexive Monitoring (Sustaining the use of the CDS through maintenance and customisation; Learning and behaviour change. Participants saw that the CDS could have a role in enhancing medication safety and in the quality of care. Engagement through communication and support for local primary care providers and management leaders was considered important for successful implementation. Management of prescribing alert profiles for general practices was a dynamic process evolving over time. At regional management levels, work was required to adapt, and modify the system to optimise its use in practice and fulfil local priorities. Contextual factors, including patient and population characteristics, could impact upon the decision-making processes of prescribers influencing the response to alerts. The CDS could operate as a knowledge base allowing prescribers access to evidence-based information that they otherwise would not have.” Abstract - Page 2-3

The authors also mention that “there was a range of contextual factors’, which have not been reported. Could the authors the key contextual factors identified.

We have added to the abstract a phrase the outlining examples of the contextual factors. Please see the revised results section of the abstract above Abstract - Page 2-3

In addition, background and methods sections in the abstract may be shortened.

We have shortened the background and methods sections of the abstract. These now read:

“Background

The quality and safety of prescribing in general practice is important, Clinical decision support (CDS) systems can be used which present alerts to health professionals when prescribing in order to identify patients at risk of potentially hazardous prescribing. It is known that such computerised alerts may improve the safety of prescribing in hospitals but their implementation and sustainable use in general practice is less well understood. We aimed to understand the factors that influenced the successful implementation and sustained use in primary care of a CDS system.

Methods

Participants were purposively recruited from Clinical Commissioning Groups (CCGs) and general practices in the North West and East Midlands regions of England and from the CDS developers. We conducted face-to-face and telephone-based semi-structured qualitative interviews with staff stakeholders. A selection of participants was interviewed longitudinally to explore the further sustainability 1-2 years after implementation of the CDS system. The analysis, informed by Normalisation Process Theory (NPT), was thematic, iterative and conducted alongside data collection.” Abstract – Page 2

Conclusion: The conclusion only focuses on the safety and alerts but it does not reflect anything about cost saving which was the primary aim of the CCGs. This aspect needs to be reflected in the conclusion in the abstract, as reported in the conclusion section in the main text.

We have adapted the conclusion of the abstract to reflect the cost-saving aspect of the CDS which we agree was important. We have added a final sentence that reads:

“Shared understanding of the purpose of the CDS between CCGS and general practices particularly in balancing cost saving and safety messages could be beneficial” Abstract – Page 3

BACKGROUND:

CDC (page 4, lines 84-85): Could the authors add a citation/reference about the CSD system evaluated. In addition, the authors call the CDS sometimes as a system (page 4, line 87 and so on) and sometimes as software (page 4, lines 84-85). Is it a system or software? Please be precise and consistent. Regretfully we are unable to provide a reference about the CDS system. This it is a commercial product and prior agreement with the developers of the CDS was that product name should remain anonymous. We feel the findings provide recommendations for the implementations of CDS in general as well as this specific system.

We agree that the use of system and software is inconsistent and imprecise. We have removed the use of ‘software’ throughout the manuscript.

CCG (page 4, line 87), Please spell out the acronym CCG here as it is mentioned for the first time, which has been spelled out later on page 5 (line 123).

Thank you. We have made this change. Page 4

Page 5

METHODS:

National Health Service (Pages 5-, lines 125-126): Acronym for the term ‘National Health Service’ has been given already in page 4, line 78; hence use only the acronym here (lines 125-126, page 5-6)

Thank you we have made this change. Methods - Page 5

Follow-up interviews (page 7, lines 1163-64): Follow-up interviews were conducted about 12 months after the first interviews. This is a long period. Did the follow-up interviews were conducted with the same persons / interviewees working on the same positions as in the first interviews? Were there any new people, and how many, involved in the follow-up interviews. The interval before the follow-up interviews was designed to capture use after the initial implementation of the system. The same participants took part. We have added details of the follow up interviews in the method section. This now reads:

“Follow-up interviews were conducted approximately 12 months after the first interview with 11 participants who had taken part in first interviews., These participants were purposively selected to provide a range of different stakeholders, in order to understand changes that may have occurred and how the intervention was being sustained in everyday practice beyond the initial intervention period.” Methods – page 7

Shopping vouchers (page 7, lines 172-173): The authors paid £20 shopping vouchers to participants. Was the payment included in the ethics application? Did the authors paid/ gave vouchers to all participants or some participants and who were they. It seems unbelievable that a GP will accept/ask for £20 voucher for an interview! Most of the participants were employees of either the NHS or CCGs hence paid by them so why they were reimbursed for their time in the study?

Yes the payment was included in the ethics application and approvals. Resource consideration was a reason given for non-participation from general practices therefore the £20 voucher was useful as an incentive to take part. In our experience it is usual practice to compensate interview participants for their time. The GPs who took part in the study took time out from their working day. All CCG staff declined the vouchers. We have added this to the methods section to clarify this further.

“As approved by the ethics committee participants were offered a £20 shopping voucher per interview as reimbursement for their time. Vouchers were accepted by all staff in general practices who took time out from their working day to participate but declined by eight of the ten CCG staff.” Methods – page 7

DISCUSSION:

Strengths and limitations (page 27, lines 776-777): The authors have stated that This was the first qualitative study to utilise NPT to understand the complex processes that influenced the implementation and sustained use in primary care of a CDS system“. However, in the Methods section - Theoretical Framework: Normalization process theory (page 8, lines 192-205), they have reported that the NPT has been used in the evaluations of several health care interventional studies so why this study is the first to use the NPT in this study. The authors may check this claim.

We agree that this sentence is inappropriate and have removed this claim. Discussion – Page 27

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Simone Borsci

19 Apr 2021

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation

PONE-D-20-35487R2

Dear Dr. Jeffries,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Simone Borsci, Ph.D.

Academic Editor

PLOS ONE

Acceptance letter

Simone Borsci

22 Apr 2021

PONE-D-20-35487R2

The Implementation, Use and Sustainability of a Clinical Decision Support System for Medication Optimisation in Primary Care: A Qualitative Evaluation

Dear Dr. Jeffries:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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on behalf of

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Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Appendix. Interview topic guide.

    (DOCX)

    S2 Appendix. Coding framework.

    (DOCX)

    S1 Data. Data set—All extracts from coding.

    (PDF)

    S1 Checklist. COREQ research checklist.

    (DOCX)

    Attachment

    Submitted filename: PONE-D-20-35487_Response to reviewers comments.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting information files.


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