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BMJ Open logoLink to BMJ Open
. 2017 Sep 7;7(9):e015455. doi: 10.1136/bmjopen-2016-015455

What are the key contextual factors when preparing for successful implementation of assistive living technology in primary elderly care? A case study from Norway

Martha Therese Gjestsen 1, Siri Wiig 2, Ingelin Testad 1,3
PMCID: PMC5595176  PMID: 28882908

Abstract

Objective

To identify contextual factors at different organisational levels to guide the implementation of an assistive living technology intervention in Norwegian primary home care.

Design

A single embedded case study design was carried out in an urban municipality in Western Norway to get an overview of key contextual factors from the municipality’s perspective.

Data collection and analysis

The data collection was based on a triangulation of methods involving document analysis, semi-structured individual interviews and focus group interviews to get a broad insight when preparing for an intervention. Data were collected on three levels of the healthcare system: (1) national policy documents and regulations (macro), (2) five individual interviews with senior managers and municipal strategy documents (meso) and (3) two focus group interviews with nurses and nurse managers in direct patient care (micro). The Model for Understanding Success in Quality framework was used as a guide in the data analysis.

Results

The main contextual factors identified were external motivators and project sponsorship (macro level); leadership, workforce focus and maturity (meso level);and motivation to change and maturity (micro level). Strategies developed in policy documents affected upper management in the municipality, but healthcare personnel at the micro level were not so familiar with strategies and emphasis on assistive living technologies. Healthcare personnel in our study were motivated to use technological solutions, but lack of data infrastructure and resource availability hindered this.

Conclusions

Aligning interests across multiple stakeholders remain a challenge when planning for an assistive living technology intervention in primary care. In the studied municipality, integration of technological solutions into healthcare services was more a vision than a reality because of a low level of organisational readiness.

Keywords: health services research, qualitative research, health informatics


Strengths and limitations of this study.

  • Applies a multilevel approach to acknowledge the organisational, social, political and policy context in which assisted living technologies are planned to be implemented.

  • Provides rich, qualitative data from three levels of the healthcare system: (1) national policy documents and regulations (macro), (2) individual interviews with senior managers and municipal strategy documents (meso) and (3) focus group interviews with nurses and nurse managers in direct patient care (micro).

  • The use of the Model for Understanding Success in Quality framework in the data analysis provides empirical content to the model, which can help operationalise factors in the framework.

  • The intended user’s perspective of a technological solution is not integrated in the study.

  • Sample size is small; other municipalities, countries and settings may illustrate different opportunities and challenges.

Introduction

In times of demographic changes, the use of assistive living technologies is suggested to help monitor and treat degenerative and chronic diseases that follows an ageing society,1–4 through the use of sensors, alarms and reminders.5 One context in which the use of assistive living technologies has been heralded as a solution is prevention of hospitalisations.6 7

Older persons are substantial consumers of both hospital care and primary care services,8 9 and a continuous discussion questions if a proportion of hospital admissions could have been prevented in primary treatment and care.10 11 Previous research stresses that more studies are needed to assess outcome and effectiveness related to the use of assistive living technologies,12–14 but there is a potential to prevent hospitalisations by providing early warnings of exacerbation events or deterioration. This is a significant issue in regard to both quality and cost.1

Despite its potential to improve primary healthcare, the success rate for implementing assistive living technologies has been low.15–18 This could be explained by previous research failing to consider critical issues in the use of these technologies. In particular, there is a need to consider the wider social framework within which the new technologies would operate and how the technology could be integrated into a complex healthcare system.4 19

There is a general interest in the role of context in understanding variation of success in quality improvement (QI), but this focus is lacking in research regarding implementation of assistive living technologies in primary care.18–22 Little evidence exists for approaches to improve the implementation process of assistive living technology, and studies to date have been limited in their design.18 21 23 24 A systematic review found that studies in this field were heterogenic and applied multiple measures of a given contextual factor and tested the associations between these measures and multiple measures of QI success.22 Other studies argue that the use of traditional controlled trial efficacy research design provides limited information about the mechanisms that produced the outcomes, and why an intervention varies by setting.25 26 This implies that few studies have been designed to assess how different contextual factors, such as external environment, organisational issues, technological infrastructure and human actions, interact with each other to influence the implementation process.22 25 26

In order to increase the likelihood of successful implementation, it is crucial to address elements at the micro level (human decisions and actions), as well as the wider context in the meso level (the organisation in which the humans interact) and at the macro level (national policy on assistive living technologies). Based on the notion that elements at the micro level can both influence and be influenced by elements at the meso level and macro level, more knowledge is needed for where to direct efforts and resources, in order for professionals and organisations to prepare a more optimised implementation of assistive living technologies in primary care.26–28

Conceptual framework

In the literature, diverse QI frameworks (eg, Model for Improvement,29 PARIHS,30 ARCHIE4) and implementation models (eg, PRIME31) exist. In this study, we apply the Model for Understanding Success in Quality (MUSIQ),32 as it is in the forefront of incorporating contextual factors in QI processes. Kaplan et al 22 identified a need for a conceptual model that builds on existing implementation frameworks and developed MUSIQ using a systematic review and structured input from a diverse panel of QI experts.32 33 The MUSIQ framework32 as described in figure 1, is a comprehensive conceptual framework for approaching and studying an implementation process in healthcare. It offers an opportunity to formally evaluate the contextual factors involved in implementation of new measures within healthcare, and is therefore chosen as an appropriate and helpful framework to inform the planning phase of an assistive technology intervention to prevent inappropriate hospital admissions for older adults receiving home-based care.

Figure 1.

Figure 1

The MUSIQ framework is a comprehensive conceptual framework for approaching and studying an implementation process in healthcare. QI, quality improvement. Copyright © BMJ Publishing Group Ltd and the Health Foundation. All rights reserved. Reuse licence number 3785340881529.

MUSIQ shows how context influences the success of individual QI projects and hypothesises that the implementation of a system, the process changes and the associated outcome improvements are influenced directly by microsystem and QI team factors, which are interdependent and mutually reinforcing. The identified contextual factors are organised based on the level of the healthcare system in which they are believed to operate, including the micro level, the organisational or meso level and the external environmental or macro level. Factors operating within the macro level are external incentives, such as new national policy documents or sponsored projects. At the organisational level, QI leadership (senior management) directly influences leadership at the micro level. For example, external motivators can put pressure on senior management in an organisation to support a particular QI project. This could then lead to support and training for healthcare personnel involved in the particular QI project, which in turn will increase the likelihood of successful implementation of the QI project.

The aim of this study was to identify contextual factors at the macro, meso and micro levels to guide the implementation of an assistive living technology intervention in Norwegian primary home care that would prevent inappropriate hospital admissions. To achieve this aim, specific objectives were to increase knowledge about:

  1. Policy makers’ view of the implementation of assistive living technology in primary care

  2. Primary care organisations’ and management’s perspectives regarding the implementation of assistive living technologies

  3. Healthcare personnel’s perspective regarding the uptake and use of assistive living technologies.

Methods

Setting

The study was carried out in an urban municipality in Western Norway. Healthcare service delivery in this municipality was divided into four geographically organised units and comprised 1600 elderly recipients of home-based care. This study involved two of these units, with 800 elderly receiving home-based care. The municipality was in the process of integrating assistive living technologies in primary care during the next few years34 and was involved in the national programme for telehealth, together with 31 of Norway’s 428 municipalities.

Design

A single embedded case study design35 was employed to get an overview of key contextual factors from the municipality’s perspective, thus getting a better understanding of which factors could be targeted when planning an assistive living technology intervention in primary care. The case was defined as the municipality. The embedded design included macro (policy), meso (organisation) and and micro (clinical team in home care) levels in the data collection and analysis.

Data collection

The data collection was based on a triangulation of methods involving document analysis, semistructured individual interviews and focus group interviews to get a broad insight when preparing for an intervention.36 Data were collected on three levels of the healthcare system: (1) national policy documents and regulations (macro), (2) individual interviews with senior managers and municipal strategy documents (meso) and (3) focus group interviews with nurses and nurse managers in direct patient care (micro). Informants for the individual interviews were chosen based on purposeful sampling,37 seeking informants who were most able to inform us on the research question. Senior managers were selected because they held major roles in the municipality’s work with implementing assistive living technologies in primary care and were in the best position to validate and provide relevant information for the study.

An overview of data material is depicted in table 1.

Table 1.

Data material

System level Data
Macro level Documents: 6
(national policy documents)
ONR 2011:112; Report No. 9 (2012–2013) to the Storting38; Report No. 10 (2012–2013) to the Storting39; Report No. 29 (2012–2013) to the Storting,40 Report No. 11 (2014–2015) to the Storting41; Care Plan 2 0242
Meso level Interviews: 5 Assistant director, project manager, adviser in municipal administration, head of health and welfare department, head of home-based care
Documents: 2 Municipal strategy plan for implementing assistive living technologies, report on use of resources in municipal healthcare services
Micro level Focus group interviews: 2 (n=12) Six informants in each group; nurses in direct patient care and nurse managers

Macro-level data collection: acquisition of documents

The data collection at the macro level involved acquisition of relevant national policy documents (eg, national care plan and white papers) developed by the Ministry of Health and Care Services.2 38–42 These documents were included because they provide information about macro level entities’ vision and ideas concerning the use of assistive living technologies in healthcare. Macro level data are referred to as ‘external environment’ in the MUSIQ framework.33 All documents are publicly available on the internet and downloaded from: https://www.regjeringen.no/en/find-document/id2000006/?ownerid=421.

Meso-level data collection: semistructured interviews and acquisition of documents

Five individual semistructured interviews were conducted with senior managers in primary care. These managers were all having a key strategic position within the municipality with important oversight of the decision-making processes related to assistive living technologies. Individual interviews were employed to ensure a more in-depth understanding of the leaders’ roles in the implementation of assistive living technologies in elderly primary care. Recruitment was initiated through the study’s working group members by asking them for a recommendation as to who could best explicate the aspects of interest. MTG then asked potential informants face to face about participation; all accepted. There was no relationship between informants and interviewer prior to study commencement. The interviews were conducted by the same person (MTG) for consistency, took place at the respective informants’ office, with only the informant and interviewer present, and lasted approximately 60 min. A semistructured interview guide was developed based on MUSIQ, focusing on organisational structures and processes for managing quality, and the leader’s role in QI work. The interviews were audiotaped and transcribed verbatim. The municipality’s strategic plan for implementing assistive living technologies34 and a report on the use of resources in municipal health and care services43 were included to provide additional perspectives about key issues and to serve as a supplementary source for understanding discrepancies among informants.44

Micro-level data collection: focus group interviews

Two focus group interviews were conducted (n=12) in 2014. Maximum variation sampling37 was employed to identify a sample of healthcare professionals who represented different lines of work at the micro level. Administrative personnel in the municipality, who otherwise were not involved in this study, recruited informants; 12 healthcare professionals who worked either in direct patient care or administered care services for the elderly were invited by mail to participate in the interviews; all agreed. Eleven women and one man in the age between 30 and 55 years, who had worked in primary care for more than 5 years, participated. None of the informants were directly engaged in the work with assistive living technologies. A thematic interview guide was developed for the purpose of exploring aspects related to implementation of assistive living technologies. Focus group interviews were employed so that participants could discuss perceptions, opinions and thoughts related to the abovementioned topic.45 The interviews were led by a moderator (MTG) to ensure rich and relevant data46; there was no relationship between informants and interviewer prior to the interviews. A co-moderator made notes on observations and impressions during the interviews. Both interviews took place at the informants’ work place and lasted approximately 90 min. Interviews were audiotaped and transcribed verbatim.

Data analysis

The MUSIQ framework was used as a guide in the data analysis, by providing a priori themes in advance of the analysis process. This is described by Crabtree and Miller36 as a template organising style. With the template (theory-based) analysis style, the text is organised according to pre-existing theoretical or logical categories to provide new descriptions of previously known phenomena.47 Three data sources were analysed; at the macro level, we analysed48 national policy documents to map the stated governmental expectations related to implementation of assistive living technologies in Norwegian municipalities. The role of the macro-level data is to link the governmental expectations concerning the use of assistive living technologies in municipal elderly healthcare, and how these are addressed by the municipality at meso and micro levels. At the meso level, we analysed key documents from the municipality and transcripts from individual interviews; and at the micro level, the units of analysis were transcripts from focus group interviews.

We read meso-level and micro-level transcripts repeatedly to gain familiarity, and then discussed the emerging findings as a team whose backgrounds spanned health and social science (MTG: nurse/PhD candidate; IT nurse/postdoctor; SW: social scientist/professor; all females). Data material was analysed thematically,36 using the MUSIQ theoretical framework. Data were analysed iteratively within our research team until no new themes emerged. Table 2 illustrates the analytical process. Study participants were not involved either in the analysis process or provided direct feedback on the findings but to ensure trustworthiness in the analysis, analyst triangulation and member checks were applied.37 49 50

Table 2.

Data analysis process

Data source Findings Factors in MUSIQ
Macro level Care plan 2020 ‘Main aim in the National programme for development and implementation of assistive living technologies is that assistive living technologies are integrated in primary care services.43 Governmental expectations related to implementation of assistive living technologies, as an integrated part of municipal services External motivator
Meso level Head of health and social welfare department ‘I don’t quite know how, and this is probably the big challenge; how will the municipality build a system concerning this?’ Organisation is still immature Maturity
Micro level Nurse, focus group 2 ‘I think that Skype could be a tool between accident and emergencies department, general practitioners and home-based care. One thing is to describe it over the phone, it’s completely different to show how the situation really is; we could provide blood pressure, pulse, O2 saturation and such…’ Healthcare professionals motivated to use assistive living technologies in daily care Motivation to change

Results

The main contextual factors identified in this study were external motivators and project sponsorship (macro level); leadership, workforce focus and maturity (meso level); and motivation to change and maturity (micro level). The results are depicted in figure 2.

Figure 2.

Figure 2

Results organised on different levels: the main contextual factors identified in this study were external motivators and project sponsorship (macro level); leadership, workforce focus and maturity (meso level); and motivation to change and maturity (micro level). The results are depicted in figure 2. MUSIQ, model for understanding success in quality; QI= quality improvement.

Macro level

Document analysis of national policy documents showed that external motivators and project sponsorship were the main contextual factors at the macro level. Six white papers2 38–42 state in various ways that telehealth/telecare should be integrated in the healthcare services. The Norwegian government established a national programme for development and implementation of assistive living technologies, which the main objective is that assistive living technologies are integrated in primary care services by 2020 (Care plan 2020, p28).42 Expectations are stated in a direction of more user-oriented healthcare services (Future Care, p40),40 and that the uptake and use of assisted living technologies are part of an innovative and provident healthcare system (Future Care, p55).40

In this, it was demonstrated that the external environment, represented by several reports to the Parliament, was an incentive for leaders in the municipality to translate the national targets to local initiatives by being an external motivator. Furthermore, the document analysis showed that the Directorate of Health (DoH) exercised a role as project sponsor, as it provided funding for assistive living technology projects led by the municipality. For example, the municipality had a project as part of the national programme, involving the transition of analogue personal alarm systems to digital solutions, which was funded by the DoH.

Meso level

QI leadership and maturity were the two main factors identified at the meso level. In the interview material, it became evident that the leaders in the municipality had to align the local QI work with the national priorities and focus areas, as defined in macro level policy documents.

We are part of the National programme, which focuses on safety alarms; therefore, we have two projects concerning safety. First and foremost we must prioritize this work. The national directions are clear about which activities the municipalities should prioritize.— Project manager

In terms of leadership, the senior leaders regarded it as their responsibility to be familiar with and committed to ongoing projects involving the use of assistive living technologies. Furthermore, leadership emerged also as a factor in the interview material by various expressions about how QI work was of great importance in the municipality. The assistant director made it clear that anchoring of projects was a necessity for ongoing projects and that there was a system for QI work in the municipality:

It’s my responsibility to attain goals and measures which are defined in the strategy, and to follow up on all the ongoing projects. It must be anchored in the management – we know that for everything we do! - Assistant director

We’ve had focus on QI since we got re-organized, arranging semi-annual dialogue gatherings in a quality network, where the employees in the health and care districts can give input on how to succeed. - Assistant director

Nothing explicit regarding leadership was identified through document analysis of the municipality’s strategic plan,34 but leadership was implicit when organisational issues were described.  QI workforce focus, data infrastructure andresource availability were contextual factors that emerged in meso-level interviews. The latter factors were an expression for organisational readiness and tell us something about an organisation’s maturity. Maturity—or the lack of maturity—emerged as a key contextual factor at the meso level. Findings from individual interviews addressed several concerns about whether the municipality was ready to actually implement assistive living technologies. One informant expressed such a concern:

We have actively recruited participants in the project related to personal alarm systems, but that raises a lot of questions: Does the municipality want to take on more tasks? Who will provide service functions related to this? What will it cost…? There are ethical issues…I wish more of this was clarified before we started… - Head of Health and Social Welfare Department

Maturity regarding municipal data infrastructure was also addressed in the interview material. It was still unclear if and how the municipality was prepared for the integration of assistive living technologies in the care services:

I don’t quite know how, and this is probably the big challenge; how will the municipality build a system concerning this? Today we have a system, and a dedicated QI-team, perhaps it will be IT… but I think it has to be part of our system. - Head of Health and Social Welfare Department

Document analysis of the municipal strategic plan34 identified challenges related to implementation and integration. The challenges were related directly to the lack of guidelines from national authorities regarding financial issues, standardisation of technological platforms/infrastructure/ cyber security, legal issues, organisational aspects and ethical considerations:

…financing is still undetermined. Several prerequisites must be clarified in order for the municipality to use assistive living technologies. Issues concerning legislation, ethics, cyber security, technology requirements and safe operations need to be addressed.

These challenges were also an expression for the lack of organisational maturity, thus maturity emerged as a key factor at the meso level regarding both organisational readiness, data infrastructure and challenges related to the lack of guidelines from national authorities.

Micro level

At the micro level, motivation to change and maturity were the two main contextual factors that emerged from the focus group interviews. Motivation to change was identified in both focus group interviews, where the informants talked about the potential benefits that could arise from using assistive living technologies:

We would like to have this (assistive living technologies)! (Laughter and talking) …we require equipment to do INR (International Normalized Ratio=blood test for regulating anticoagulation treatment), bladder scan, oxygen saturation…and CrP (C-reactive Protein=blood test indicating infections (laughter from several). - Several nurses, focus group 1

I think that Skype could be a tool between accident and emergencies department, general practitioners and home-based care. One thing is to describe it over the phone, it’s completely different to show how the situation really is; we could provide blood pressure, pulse, O2 saturation and such… - Nurse, focus group 2

Analysis of the interviews revealed that healthcare professionals were motivated to use assistive living technologies in daily care, if there was a practical benefit for it. However, the informants did not address leadership as a focal point when asked what it would take to integrate assistive living technologies in the care services. Leadership did, however, emerge as a factor, but related to a lack of trust in the local leader’s impact on decision making, with respect to the uptake of assistive living technologies:

I don’t think the local leaders have a say in this. It is the municipality’s administration who writes the budget. I believe that they decide which tools to use. If they decide we should have tablets, then that would be implemented in all districts. - Nurse, focus group 2

All in all, the results showed that issues concerning implementation and organisational factors related to the integration of assistive living technologies in home-based care were addressed only to a small degree. The main finding at the micro level was that the technological solutions had to function properly in the day-to-day work. They described experiences with the opposite and that dysfunctional technology was discouraging and frustrating in their line of duty. This implies that maturity was also a key finding at the micro level. For example, the lack of data infrastructure was regarded as a hindrance for successful integration:

In the rest of Europe, they have a standard for everything, and they are able to integrate things much more easily. Here, each GP have their own computer system, and each municipality has their own computer system… - Adviser

The municipality lacked a sophisticated enough data infrastructure to be ready for integration of assistive living technologies in the care services.

Discussion

Based on document analysis and interviews with both leaders and healthcare personnel, this study identified several of the contextual factors in the MUSIQ framework. More specifically, the study revealed that external motivators and project sponsorship at the macro level represented expectations from outside entities that guided senior leaders in defining a local mission and vision related to use of assistive living technologies for the municipality. These expectations were reflected in the findings at the meso level, where the senior leaders were well aware of the agenda set from above. However, many aspects still remained unclear in the macro–meso relationship, such as further financing of ongoing projects, and legal and technological aspects, because there were no guidelines from the macro level addressing these issues. Micro-level findings revealed that healthcare professionals were not very conscious about other factors than the practical use of assistive living technologies.

Previous studies in this field have used various theoretical frameworks to identify and explore factors that influence adoption, implementation and continued use of assistive living technologies. Sugarhood et al 23 concluded that successful implementation of telecare very much depends on to what degree contextual factors are specified, understood and addressed. Greenhalgh et al 18 have developed a study programme called ‘SCALS’, which focuses on assistive living technologies in their organisational, social, political and policy context, using a systems approach that includes interdependencies. There are no publications from the ‘SCALS’ programme to date (other than the referred study protocol), but the programme seems to be based on the same notion as our study, namely that contextual factors play a pivotal role for the understanding of implementation and integration of a technological solution into a complex healthcare system.

The framework applied in our study (MUSIQ) can help us understand how factors are interdependent; for example, that external motivators at the macro level will be an incentive for leaders at the meso level to translate national QI priorities into local initiatives at the micro level. This hypothesis is partially supported by our findings. We found that the strategies developed in policy documents affected the upper management in the municipality, but healthcare personnel at the micro level were not so familiar with strategies and emphasis on assistive living technologies. The lack of such alignment between levels could represent a challenge when preparing for successful implementation of assistive living technologies in primary elderly care. A report from The King’s Fund51 summarises relevant evidence regarding integration of care from a multilevel perspective. In relation to interdependent factors, they underline that initiatives at the macro system must be linked to initiatives at the meso level for particular care groups and populations and at the micro level for individual service users and carers. Organisational maturity and readiness to implementation is of vital importance, but the actual use of the technology takes place on micro level—in the provision of care for the elderly. Thus, it is necessary to address this implementation gap in order to deliver the expected outcomes related to the uptake and use of assistive living technologies.

Despite of this implementation gap, the healthcare personnel (micro-level focus group interviews) in our study were motivated to change their daily practice by using technological solutions, but the lack of data infrastructure and resource availability hindered such a change. From previous research, we know that lack of organisational readiness for change is an important factor in understanding why implementation efforts fail.52

Uncovering these factors has important implications in how to increase the likelihood of successful implementation of assistive living technologies, which in turn potentially could reduce unnecessary cost and burden on overstretched health services.

Strengths and weaknesses

This case study does not formulate a solution for how to implement assistive living technologies, but the insights from the study could be used in comparable settings. One premise in this paper is to acknowledge the organisational, social, political and policy context in which assisted living technologies are implemented. The findings underpin the premise that people and technologies are linked in a dynamic healthcare system made up of multiple interacting stakeholders. We have not focused on the ‘user system’, that is, the intended user of a technological solution. This needs to be addressed for successful adoption. The implementation process should be informed by all stakeholders—individual users, service providers and technology suppliers—to ensure a person-centred, holistic and ethically based approach. Such co-production should be addressed in future research.

The findings from this case study pertain to the particular organisation and context prevailing in the included Norwegian municipality; other municipalities, countries and settings may illustrate different opportunities and challenges. Data collection at the macro level was not standardised and only comprises documents and not interviews. The identified documents are all valid for Norwegian municipalities working with assistive living technologies in healthcare. Moreover, the documents reflect directions and expectations that municipalities must comply with and therefore provide information paramount to understand the external environment in the study. It could be argued that our sample of informants including 17 primary care managers and healthcare professionals should have been larger. However, the involved informants represent senior managers at the meso level with the key competence that were needed to be mapped in our study, such as strategic knowledge on plans, decision making, funding and vulnerability in infrastructure. The sample of 12 healthcare professionals have daily patient contact and represents future users of the assistive living technology with similar competence and experience with such technology. Hence, their perspectives may be transferable to other similar contextual settings as described here. Still, the analysed data were rich and represented three levels (macro, meso and micro).

Another limitation is the use of the MUSIQ framework in the data analysis; because of the a priori defined themes, we could have missed out on themes relevant for the planning of an assistive living intervention.

Implications

Through this study, we have generated empirical knowledge about contextual factors that can influence the implementation of assistive living technologies in primary home care. The study already positions assistive living technologies as an innovation whose success depends on the social and organisational context. Two key implications are evident from our study. First, we have shown that various contextual factors existing in a complex healthcare system (represented by a municipality) are present and need to be addressed in order to optimise the likelihood for successful implementation. Low levels of uptake and use may be explained in part by organisational immaturity and different focus of the various stakeholders; thus, aligning interests across multiple stakeholders remains a challenge when planning for an assistive living technology intervention in primary care. Second, our findings suggest that the challenge lies in the implementation process and in the integration of assistive living technologies in municipal care service provision, beyond the initial adoption. For the municipality, there is uncertainty about guidelines from national entities, and concerted and ongoing efforts are required to integrate assistive living technologies as a routine and sustained part of primary care services. Evidence-based implementation strategies (eg, PRIME31 and CFIR53) support the notion that context affects organisational change, dissemination, innovation, implementation and knowledge translation. In a Norwegian context, it will be of vital importance to develop a clear framework and action plan within primary care in order to address the different focus of the various stakeholders involved in the implementation process. This includes clearly defined roles and responsibilities. Moreover, is it important to incorporate specific assessment for assistive living technologies into service provision; the guidelines from national authorities must be clear and unambiguous. Future studies are advised to take these aspects into consideration when planning for an assistive technology intervention in primary elderly care.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

The authors would like to thank all informants for their invaluable contribution to the study. Also great thanks to Henrik Hovland, who assisted in conducting focus group interviews.

Footnotes

Contributors: MTG planned the study design, was responsible for the development of data collection tools, contributed to data analysis and drafted and revised this manuscript. SW contributed to the study design, contributed to the development of data collection tools, data analysis and contributed to drafting and revision of the manuscript. IT contributed to data analysis and drafting and revision of the manuscript. All authors have read and approved the final version of the manuscript.

Funding: The study is part of a larger project 'Development and Implementation of assistive living technologies in Municipalities'. It is funded by the Regional Research Fund for Western Norway; Centre for Age-related Medicine, Stavanger University Hospital, Norway; and the University of Stavanger, Norway.

Competing interests: None declared.

Ethics approval: Norwegian Data Protection Authority (Approval ref# 21/2013).

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: This is a qualitative study and therefore the data generated are not suitable for sharing beyond that contained within the submitted manuscript. Further information can be obtained from the corresponding author.

References

  • 1. May CR, Finch TL, Cornford J, et al. . Integrating telecare for chronic disease management in the community: what needs to be done? BMC Health Serv Res 2011;11:131. 10.1186/1472-6963-11-131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Ministry of Health and Care Services. Official Norwegian Reports NOU 2011:11 Innovation in the Care Services 2011. [Google Scholar]
  • 3. Clegg A, Young J, Iliffe S, et al. . Frailty in elderly people. The Lancet 2013;381:752–62. 10.1016/S0140-6736(12)62167-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Greenhalgh T, Procter R, Wherton J, et al. . What is quality in assisted living technology? The ARCHIE framework for effective telehealth and telecare services. BMC Med 2015;13:91. 10.1186/s12916-015-0279-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Lewin D, Adshead S, Glennon B. Assisted living technologies for older and disabled people in 2030, 2010. [Google Scholar]
  • 6. Garcia NM, Rodrigues J. Ambient Assisted Living: CRC Press, 2015. [Google Scholar]
  • 7. Steventon A, Bardsley M, Billings J, et al. . Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ 2012;344:e3874. 10.1136/bmj.e3874 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Huseby BM. Samdata spesialisthelsetjenesten 2013. Directorate of Health 2014. [Google Scholar]
  • 9. Huseby BM. Samhandlingsstatistikk 2013–14 Directorate of Health, 2015. [Google Scholar]
  • 10. Purdey S, Huntley A. Predicting and preventing avoidable hospital admissions: a review. J R Coll Physicians Edinb 2013;43:340–4. 10.4997/JRCPE.2013.312 [DOI] [PubMed] [Google Scholar]
  • 11. Deraas TS, Berntsen GR, Jones AP, et al. . Associations between primary healthcare and unplanned medical admissions in Norway: a multilevel analysis of the entire elderly population. BMJ Open 2014;4:e004293 10.1136/bmjopen-2013-004293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Khosravi P, Ghapanchi AH. Investigating the effectiveness of technologies applied to assist seniors: A systematic literature review. Int J Med Inform 2016;85:17–26. 10.1016/j.ijmedinf.2015.05.014 [DOI] [PubMed] [Google Scholar]
  • 13. Wootton R. Twenty years of telemedicine in chronic disease management--an evidence synthesis. J Telemed Telecare 2012;18:211–20. 10.1258/jtt.2012.120219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Van Grootven B, van Achterberg T. The European Union's Ambient and Assisted Living Joint Programme: An evaluation of its impact on population health and well-being. Health Informatics J 2016;0 1460458216683535 10.1177/1460458216683535 [DOI] [PubMed] [Google Scholar]
  • 15. van Dyk L. A review of telehealth service implementation frameworks. Int J Environ Res Public Health 2014;11:1279–98. 10.3390/ijerph110201279 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Lluch M. Healthcare professionals' organisational barriers to health information technologies-a literature review. Int J Med Inform 2011;80:849–62. 10.1016/j.ijmedinf.2011.09.005 [DOI] [PubMed] [Google Scholar]
  • 17. Yackel TR, Embi PJ. Unintended errors with EHR-based result management: a case series. J Am Med Inform Assoc 2010;17:104–7. 10.1197/jamia.M3294 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Greenhalgh T, Shaw S, Wherton J, et al. . SCALS: a fourth-generation study of assisted living technologies in their organisational, social, political and policy context. BMJ Open 2016;6:e010208. 10.1136/bmjopen-2015-010208 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Mair FS, May C, O'Donnell C, et al. . Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review. Bull World Health Organ 2012;90:357–64. 10.2471/BLT.11.099424 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Ovretveit JC, Shekelle PG, Dy SM, et al. . How does context affect interventions to improve patient safety? An assessment of evidence from studies of five patient safety practices and proposals for research. BMJ Qual Saf 2011;20:604–10. 10.1136/bmjqs.2010.047035 [DOI] [PubMed] [Google Scholar]
  • 21. Kuziemsky C, Nøhr C, Aarts J, et al. . Context sensitive health informatics: concepts, methods and tools. Stud Health Technol Inform 2013;194:1–7. [PubMed] [Google Scholar]
  • 22. Kaplan HC, Brady PW, Dritz MC, et al. . The influence of context on quality improvement success in health care: a systematic review of the literature. Milbank Q 2010;88:500–59. 10.1111/j.1468-0009.2010.00611.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Sugarhood P, Wherton J, Procter R, et al. . Technology as system innovation: a key informant interview study of the application of the diffusion of innovation model to telecare. Disabil Rehabil Assist Technol 2014;9:79–87. 10.3109/17483107.2013.823573 [DOI] [PubMed] [Google Scholar]
  • 24. Abbott PA, Foster J, Marin HF, et al. . Complexity and the science of implementation in health IT--knowledge gaps and future visions. Int J Med Inform 2014;83 10.1016/j.ijmedinf.2013.10.009 [DOI] [PubMed] [Google Scholar]
  • 25. Øvretveit J. Understanding the conditions for improvement: research to discover which context influences affect improvement success. BMJ Qual Saf 2011;20 Suppl 1(Suppl 1):i18–i23. 10.1136/bmjqs.2010.045955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Dixon-Woods M, Bosk CL, Aveling EL, et al. . Explaining Michigan: developing an ex post theory of a quality improvement program. Milbank Q 2011;89:167–205. 10.1111/j.1468-0009.2011.00625.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Browning SV, Tullai-McGuinness S, Madigan E, et al. . Telehealth: is your staff ready to implement? A descriptive exploratory study of readiness for this technology in home health care. Home Healthc Nurse 2009;27:242–8. 10.1097/01.NHH.0000349911.12860.f2 [DOI] [PubMed] [Google Scholar]
  • 28. Greenhalgh T, Robert G, Macfarlane F, et al. . Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q 2004;82:581–629. 10.1111/j.0887-378X.2004.00325.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Norman CL, Nola TW, Moen R, et al. ; The improvement guide: a practical approach to enhancing organizational performance, 2013. [Google Scholar]
  • 30. Stetler CB, Damschroder LJ, Helfrich CD, et al. . A Guide for applying a revised version of the PARIHS framework for implementation. Implement Sci 2011;6:99. 10.1186/1748-5908-6-99 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Walker AE, Grimshaw J, Johnston M, et al. . PRIME--PRocess modelling in ImpleMEntation research: selecting a theoretical basis for interventions to change clinical practice. BMC Health Serv Res 2003;3:22. 10.1186/1472-6963-3-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Kaplan HC, Provost LP, Froehle CM, et al. . The Model for Understanding Success in Quality (MUSIQ): building a theory of context in healthcare quality improvement. BMJ Qual Saf 2012;21:13–20. 10.1136/bmjqs-2011-000010 [DOI] [PubMed] [Google Scholar]
  • 33. Kaplan HC, Froehle CM, Cassedy A, et al. . An exploratory analysis of the model for understanding success in quality. Health Care Manage Rev 2013;38:325–38. 10.1097/HMR.0b013e3182689772 [DOI] [PubMed] [Google Scholar]
  • 34.  Stavanger kommune. Selvstendig, trygg og aktiv Strategi for implementering av velferdsteknologi 2014-2017, 2014. [Google Scholar]
  • 35. Yin RK. Case study research: design and methods. 5th ed Los Angeles, Calif: SAGE, 2014. [Google Scholar]
  • 36. Crabtree BF, Miller WL. Doing qualitative research: Sage Publications, 1999. [Google Scholar]
  • 37. Patton MQ. Qualitative Research & Evaluation Methods: Integrating Theory and Practice: SAGE Publications, 2014. [Google Scholar]
  • 38.  Ministry of Health and Care Services. Report No. 9 (2012-2013) to the Storting, 2012. [Google Scholar]
  • 39.  Ministry of Health and Care Services. Report No. 10 (2012-2013) to the Storting, 2012. [Google Scholar]
  • 40.  Ministry of Health and Care Services. Report No. 29 (2022-2013) to the Storting Future Care, 2012. [Google Scholar]
  • 41.  Ministry of Health and Care Services. Report No. 11 (2014-2015) to the Storting Quality and patient safety 2013. [Google Scholar]
  • 42.  Ministry of Health and Care Services. Care plan 2020 The Governments plan for care services 2015-2020, 2015. [Google Scholar]
  • 43.  PwC.  Betydningen av organisering, ledelse og kultur Ressursbruk i pleie- og omsorgssektoren,  2015;83. [Google Scholar]
  • 44. Miles M, Huberman A. An expanded sourcebook: Qualitative data analysis, 1994. [Google Scholar]
  • 45. Onwuegbuzie AJ, Dickinson WB, Leech NL, et al. . A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research. Int J Qual Methods 2009;8:1–21. 10.1177/160940690900800301 [DOI] [Google Scholar]
  • 46. Morgan DL. Focus groups as qualitative research. 2nd ed Thousand Oaks, California: Sage Publications, 1997. [Google Scholar]
  • 47. Malterud K. Qualitative research: standards, challenges, and guidelines. The Lancet 2001;358:483–8. 10.1016/S0140-6736(01)05627-6 [DOI] [PubMed] [Google Scholar]
  • 48. Bowen GA. Document Analysis as a Qualitative Research Method. Qualitative Research Journal 2009;9:27–40. 10.3316/QRJ0902027 [DOI] [Google Scholar]
  • 49.  Burns R. Introduction to research methods.  4th ed London: Sage Publications, 2000. [Google Scholar]
  • 50. Lincoln YS, Guba EG. Naturalistic Inquiry: SAGE Publications, 1985. [Google Scholar]
  • 51. Juhnke C. Clinical and service integration. The route to improved outcomes. Int J Integr Care 2012;12:e199. 10.5334/ijic.1065 [DOI] [Google Scholar]
  • 52. Hovlid E, Bukve O. A qualitative study of contextual factors' impact on measures to reduce surgery cancellations. BMC Health Serv Res 2014;14:215. 10.1186/1472-6963-14-215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Damschroder LJ, Aron DC, Keith RE, et al. . Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci 2009;4:50. 10.1186/1748-5908-4-50 [DOI] [PMC free article] [PubMed] [Google Scholar]

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