Abstract
Background
There is a growing momentum around the world to foster greater opportunities for the involvement of mental health service users in their care and treatment planning. In‐principle support for this aim is widespread across mental healthcare professionals. Yet, progress in mental health services towards this objective has lagged in practice.
Objectives
We conducted a systematic review of quantitative, qualitative and mixed‐method research on interventions to improve opportunities for the involvement of mental healthcare service users in treatment planning, to understand the current research evidence and the barriers to implementation.
Methods
Seven databases were searched and 5137 articles were screened. Articles were included if they reported on an intervention for adult service users, were published between 2008 and October 2023 and were in English. Evidence in the 140 included articles was synthesised according to the JBI guidance on Mixed Methods Systematic Reviews.
Results
Research in this field remains exploratory in nature, with a wide range of interventions investigated to date but little experimental replication. Overarching barriers to shared and supported decision‐making in mental health treatment planning were (1) Organisational (resource limitations, culture barriers, risk management priorities and structure); (2) Process (lack of knowledge, time constraints, health‐related concerns, problems completing and using plans); and (3) Relationship barriers (fear and distrust for both service users and clinicians).
Conclusions
On the basis of the barriers identified, recommendations are made to enable the implementation of new policies and programs, the designing of new tools and for clinicians seeking to practice shared and supported decision‐making in the healthcare they offer.
Patient or Public Contribution
This systematic review has been guided at all stages by a researcher with experience of mental health service use, who does not wish to be identified at this point in time. The findings may inform organisations, researchers and practitioners on implementing supported decision‐making, for the greater involvement of people with mental ill health in their healthcare.
Keywords: mental health, person‐centred care, shared decision‐making, supported decision‐making, UNCRPD
1. INTRODUCTION
Over the last several decades, there has been a growing momentum around the world to develop policies and in some countries, legislation, that mandates collaboration with and greater opportunities for involvement of mental health service users in their care and treatment planning. The UN Convention on the Rights of Persons with Disabilities (CRPD), 1 which came into force in 2008, has further driven efforts to facilitate people with mental ill health in making decisions concerning their treatment. 2 In addition, there seems to be general in‐principle recognition by mental health practitioners of the importance of shared and supported decision‐making in the care that they provide. 3 , 4 , 5 Yet, evidence demonstrates that progress in mental health services towards this objective, in practice, has lagged. 3 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17
Both shared decision‐making and, more recently, supported decision‐making, are models that can be applied in mental health treatment planning to facilitate opportunities for the greater involvement of service users in that experience. 18 , 19 Both sit along a spectrum of approaches to medical decision‐making, between the still prevalent paternalistic model and the autonomous decision model. 20 In shared decision‐making, both the clinician and the service user are involved in the decision‐making process and both agree on the final treatment to implement, through processes that facilitate the exchange of information and equality in decision‐making. 21 Supported decision‐making, further along the spectrum towards autonomy, is where a person is ‘provided with necessary supports and accommodation to make and communicate decisions according to his or her wishes … in relation to health care (including mental healthcare) this would mean communicating information about healthcare decisions in appropriate ways, in providing a variety of options, and in understanding and respecting a person's choice’. 22
Early systematic reviews 4 , 23 and more recent meta‐analyses 24 , 25 have indicated promising results for the greater involvement of people with mental illness in one type of treatment planning, that is facilitated crisis (or advance) planning. These reviews were based on the few randomised controlled trials (RCTs) conducted to date. Benefits of this type of planning include significantly reduced risk of compulsory psychiatric admission when compared with other intervention types, improved self‐determination and empowerment for service users and benefits for the therapeutic relationship. However, they also flag some potential barriers, particularly in relation to the role of mental health professionals, in the implementation of shared and supported decision‐making in mental health treatment planning. 4 , 25
In this broad systematic, integrative review research in the field was explored, beyond crisis planning and RCTs. It aimed to identify quantitative, qualitative and mixed‐method research on interventions to improve opportunities, through facilitation (or support) for the involvement of mental healthcare service users in treatment planning. The following questions informed the review: (i) what research has been undertaken in this field since 2008 when the UN CRPDs came into force, (ii) what are the barriers to the implementation of these types of interventions, (iii) what is the evidence around the associated outcomes for people with mental illness and (iv) how do service users and clinicians experience it? While the systematic review is one that integrates evidence to respond to all four questions as a coherent whole, the overall results are outlined across two articles. In this article, we focus on the findings to the first two questions.
2. METHODS
The PRISMA 2020 Checklist 26 was used to guide the review and the review protocol was registered with PROSPERO (CRD42022340117). Search terms were developed based on significant known key texts, on preliminary pilot searches, and were discussed and agreed among the authors. A search string was designed accordingly, using free‐text keywords and subject headings (or MESH terms). Search terms are shown in Table 1 and the search strings for each database were developed, tailored to each database, as follows: (BLOCK 1) AND (BLOCK 2) AND (BLOCK 3) with limitations as indicated in BLOCK 4 and BLOCK 5.
Table 1.
Search terms.
| BLOCK 1 | BLOCK 2 | BLOCK 3 | BLOCK 4 | BLOCK 5 |
|---|---|---|---|---|
| (FT) ‘mental health’ | (FT) joint | (FT) ‘treatment plan*’ | NOT dementia | Date limited 2008—current |
| (FT)‘mental illness’ | (FT) collaborat* | (FT) ‘care plan*’ | ||
| (FT) ‘mental disorder’ | (FT) personal* | (FT) ‘safety plan*’ | ||
| (FT) psychiatr* | (FT) support* | (FT) ‘crisis plan*’ | ||
| (SH) Mental health1, 2, 3, 4, 5 | (FT) facilitat* | (FT) ‘advance directive*’ | ||
| (SH) Mental disorders1, 2, 3, 4, 5 | (FT) ‘advance statement*’ | |||
| (SH) Mentally ill persons3, 4, 5 | (FT) ‘advance agreement*’ | |||
| (SH) Psychiatric patients1, 2 | (FT) ‘advance plan*’ | |||
| (FT) ‘advance decision*’ | ||||
| (FT) ‘psychiatric plan*’ | ||||
| (FT) ‘advance preferences instrument’ | ||||
| (SH) treatment planning 2 | ||||
| (SH) nursing care plans 1 | ||||
| (SH) patient care plans 1 | ||||
| (SH) patient care planning3, 4, 5 | ||||
| (SH) advance directives1, 2, 3, 4, 5 | ||||
| (SH) advance care planning1, 3, 4, 5 |
CINAHL.
PsychInfo.
Medline.
PubMed.
Cochrane.
Articles were included in the review if the research outlined met all of the following criteria: (a) a mental health treatment planning intervention that facilitated service user involvement in decision‐making, (b) quantitative, qualitative or mixed methods, (c) adult participants, (d) any mental illness/disorder (including substance use disorders), (e) reporting on efficacy and effectiveness of outcomes, experiences or barriers, (f) reporting in English and (g) publication during or after 2008.
Facilitated decision‐making was considered to include processes or practices where assistance by a specified person or digital programme was available to assist service user involvement in their treatment planning. Both shared and supported decision‐making interventions were included. Treatment planning was taken to include any planning related to a person's treatment such as treatment, care, crisis, safety and service planning or a component of such a plan, for example, medication planning.
Articles were excluded from the review if they did not meet all of the inclusion criteria or if the research outlined (a) treatment planning that was a small part of a larger, multifaceted, complex intervention where the impact of the treatment planning could not be isolated, (b) an intervention for people with dementia or intellectual disability and (c) a focus on family or carer experiences.
Databases were searched on 16–17 June 2021 and included CINAHL, Cochrane, Google Scholar, Medline, PsychInfo, PubMed and Scopus. Google Scholar was a free‐text keyword search only, and due to the character limit had to be divided into three separate searches: (BLOCK 1) AND (BLOCK 2) AND (PART OF BLOCK 3 [i], [ii] and [iii]), excluding ‘dementia’ and specifying the required date range. The top 100 results from each Google Scholar search were captured. An updated search of the same databases with the same search string was undertaken on 9 October 2023.
Search results were extracted to a Covidence library, to manage articles. The screening was conducted by one team member (C. F.), with discussions held with other team members (R. W. and A. J.) when necessary to determine articles for inclusion or exclusion. Although review‐type publications did not meet inclusion criteria, references in these publications were also screened to extend coverage, and any relevant references were assessed against the criteria.
To answer the question (i) above, data were extracted from the articles included in the review into a standardised data extraction pro forma in Excel. Design of the pro forma and data extraction was undertaken by one team member (C. F.) and reviewed by two senior team members (R. W. and A. J.). Data collected included location of research and date of publication, methodology used, research settings, characteristics of the sample populations and characteristics of the interventions made. These data were collated, summarised and are presented descriptively.
Due to the heterogeneity of research methodologies, the large number of articles for review and as no research was to be excluded from the review on the basis of quality, a formal quality assessment (e.g., using CASP or JBI tools) of articles was not undertaken. However, in the standardised data extraction pro forma, information relevant to quality of the research was collected for general observation. Data were collected on ethics approvals, whether service user groups were included in research planning, if research questions/objectives were stated, on sample sizes and whether recruitment data were provided, if data analysis methods were specified and if study limitations were outlined. These data were also collated, summarised and are presented descriptively.
To address literature review questions (ii)–(iv), the JBI Manual for Evidence Synthesis guidance on Mixed Methods Systematic Reviews 27 was followed. In line with this guidance, the articles included in this review were analysed using a ‘convergent segregated approach’ because the aim of this review was to integrate the findings to all three questions (ii)–(iv). According to the convergent segregated approach: the quantitative and qualitative data arising from the articles included in the review are synthesised independently in the first instance, then subsequently integrated. Qualitative data are pooled through meta‐aggregation, to develop categories that aggregate like findings and that can then be synthesised to form ‘an overarching description of a group of categorised findings’. Quantitative data are synthesised, in this case by a narrative summary (as meta‐analysis is not possible). The quantitative and qualitative evidence is then integrated to produce an overall ‘configured analysis’, where the complementarity (or not) of the findings are considered by ‘using one type of evidence to explore, contextualise or explain the findings of the other type of evidence’ to ultimately organise results into a coherent whole. 27
The findings of the review are presented across two papers, of which this is the first.
3. RESULTS
A total of 140 articles were included in the review. Database searches identified a total of 10,038 articles, from which 4901 duplicates were initially removed. A further 4561 were subsequently excluded following title/abstract screening, with an additional 478 removed following full‐text screening. While review‐type publications were not included, the reference lists were screened and, as a result, an additional 42 articles were included in this review. The PRISMA flow chart is shown in Figure 1.
Figure 1.

PRISMA flow chart.
3.1. Current evidence
Question (i) asked what research has been undertaken since 2008 on facilitating the involvement of service users in mental healthcare and treatment planning. The research undertaken has mostly used quantitative design (75 articles), with qualitative (34 articles) and mixed‐method designs (30 articles) also used (Supporting Information S1: Table 1). Although 40 studies describe interventions that have progressed to testing in randomised controlled trials, research has been primarily exploratory in nature, with a wide range of intervention types, tools and parameters investigated. Among the few more common intervention types are various forms of Care Plans (24 articles), Joint Crisis Plans (17 articles) and Psychiatric Advance Directives with facilitation (17 articles). Research has slightly favoured non‐crisis over crisis treatment planning (53% vs. 42%, respectively) (Supporting Information S1: Table 1). Where reported, length of interventions could be 1, 2, 3 or ≥4 sessions (up to 12 sessions), taking from as little as 15 min up to approximately 1 year to complete a plan. Most of the research has focused on various clinicians as facilitators, although other facilitators studied have included peer support workers, patient advocates, lawyers and digital tools. Most articles focused on people with serious or severe mental illness, and mostly in community‐based settings (Supporting Information S1: Table 1). A growing number of relevant digital tools are covered in the literature (26 articles), and most digital interventions were provided along with additional human support. The majority of research has been on facilitating people with mental illness to play a greater role in decision‐making but where the final decision is shared (e.g., shared decision‐making). Supported decision‐making in line with the definition provided in the introduction above is relatively little studied to date (Supporting Information S1: Table 1).
3.2. Research quality
Research quality can be described as mixed. Most articles specified the research aims (or questions, hypotheses, objectives) and data analysis methods used. However, over 15% did not address ethics approval requirements, almost 60% provided only partial or no recruitment data, most articles used convenience sampling (which increases the potential for bias and limits generalisability) and the majority involved relatively small sample sizes (less than 100 participants). Just 10% of articles involved service users in research planning (as distinct from being involved in designing the intervention or being research participants) and only 20% published templates (in full or in part) for the plans or tools they used in their interventions (making independent replication difficult).
3.3. Barriers
The qualitative and quantitative data presented across the 140 included articles were analysed independently and then integrated to form the following findings on the barriers that exist to shared and supported decision‐making in mental health treatment planning. The quantitative evidence generally supported or was consistent with the qualitative evidence reported. Based on the analyses conducted, three overarching types of barriers are identified as follows:
-
1.
Organisational barriers,
-
2.
Process barriers and
-
3.
Relationship barriers.
-
1.
Organisational barriers
The review of the research indicates that the organisation matters. Organisational resource limitations, culture barriers, risk management priorities and structure can all act as barriers to facilitated decision‐making in mental health treatment planning. For example, limited organisational financial resources and investment in services and staffing affected staff availability, high staff turnover and workloads: ‘we're short of money and … we're short of people’ 28 were issues reported to affect clinicians' ability to undertake shared and supported decision‐making when treatment planning with service users. 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 These barriers were further exacerbated by the Covid pandemic. 39 Also, training costs can be substantial 35 and, when insufficiently allocated, could mean that ‘the scene was not set for clinicians’, 21 when they did not receive sufficient information, training or support to understand and adopt such new interventions. 36 , 40 Organisational culture and particularly a lack of readiness to change were also barriers—when organisations and leadership avoided a sustained investment in change, did not involve frontline staff in implementation processes or support the necessary changes to address staff work priorities and availability, IT infrastructure, physical infrastructure (i.e., the need for private spaces), clinical workflows and access to guidelines. 29 , 34 , 36 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 In addition, balancing organisational risk management priorities with increased service user involvement in decision‐making could be challenging and a concern for practitioners. 45 , 47 Organisational structure was another barrier to the broad uptake of a new intervention, for example, where a decentralised system meant that consistent cross‐site policies and procedures were not possible across a jurisdiction. 44 Service (and associated staff) reconfigurations 37 as well as communicating and collaborating between agencies 31 , 36 and within site among multidisciplinary teams can also be problematic. 43 , 48 For one culturally specific intervention and the workers implementing it, compatibility with conventional organisational medical models and teams was also reported as a barrier. 49
-
2.
Process barriers
Key barriers that affected the process of facilitated decision‐making in treatment planning included a lack of knowledge; a lack of time; concerns related to the health status of the service user; problems with completing the plan; and problems using the plan. For example:
-
(i)
Lack of knowledge
Without information or training, both service users and clinicians can lack knowledge of 42 , 46 , 50 or experience with 32 shared or supported decision‐making in treatment planning. A lack of knowledge can negatively impact both clinicians and service users in their understanding and valuing of the purpose or function of such planning, 33 , 50 , 51 how to communicate within and about this type of care and planning, 33 , 36 , 52 how the plans are completed or documented 36 , 51 , 53 , 54 and how the planning process is facilitated and experienced. 36 , 46 , 50 Even with training, knowledge can wane over time 55 and attitudes may not shift—following specific training on the power shifts necessary to achieve shared decision‐making, many clinicians (>40%) still believed that the decision‐making power balance should favour the clinician. 54 When digital tools were used to facilitate the process, additional barriers were experienced by some clinicians and service users, in not knowing how to use the technology generally as well how to use it in the therapeutic relationship. 28 , 46 , 52 , 56
-
(ii)
Time constraints
Both actual and perceived time constraints were an often‐reported barrier to the process of facilitated decision‐making in treatment planning. 33 , 34 , 36 , 37 , 43 , 46 , 47 , 52 , 54 , 57 , 58 , 59 , 60 , 61 For some interventions, the process was reported as time consuming, mostly by clinicians 30 , 48 , 51 , 62 , 63 but also by some service users. 32 Sufficient time was not only needed for the treatment planning session/s with service users but also for clinicians beforehand to learn a new tool and approach, as well as for collaboration with colleagues when needed. 33 , 36 , 37 , 45 , 63 Service users were acutely aware of time constraints on practitioners and it affected how some experienced the process. 59like, just getting the laundry done is a hassle, so for me to take someone, sort of, offline and concentrate on me and talk about – I need someone who's got the time for that … otherwise I'm just going to clam up … they've got too much to do …. you don't have time for sitting and listening to me. 50 -
(iii)
Health
One of the larger studies found that only a very small proportion of people felt that they were too unwell to complete a facilitated plan (9/285 = 3%) 64 and another similarly reported that of 128 observations, most service users were found (by clinicians) to be capable of, interested in and able to understand the shared, medical decision‐making process. 52 However, more broadly across qualitative studies, both service users and clinicians reported that at times, service users ill health could be a barrier to being involved in planning.
Clinicians described some service users as having difficulty following the information, that those in acute crisis tended to be more difficult to engage with, that some had cognitive problems and were easily overwhelmed, did not recognise how ill they were or were just too unwell. 28 , 36 , 48 , 52 , 58 , 63 , 65 , 66 In this context, clinician concerns were framed as the patient and their health status being the ‘most significant barrier’ to their involvement in treatment planning, 48 rather than the barrier being the level of support that could be provided by the clinician. While on the one hand clinicians commonly viewed service users as the main barrier to shared decision‐making in treatment planning due to their health, at the same time, they held the expectation that service users should take the initiative and responsibility for driving the process. 29 , 30 , 32 , 48 In one study, clinicians also reported that service users could sometimes have other (physical) health problems that interfered with shared decision‐making. 52
From the other perspective, some service users felt that sometimes, they could not trust in their ability to engage in dialogue with clinicians, doubted their own perspective, had to regain trust in their own thinking, felt that they may not recognise how serious their illness was, had difficulty following the discussion, completing forms or using technology (i.e., symptom‐related fears when digital tools were involved) or just were not feeling well enough at that point in time. 21 , 29 , 37 , 42 , 45 , 46 , 66 , 67 , 68 It is noted that none of these circumstances preclude a person being more involved in their treatment planning, rather indicating when additional support may be required.I have to ask myself whilst [talking to clinicians about treatment decisions] are any of these ideas delusional, are they psychotic? Actually to be honest, once people start talking to you about delusions and psychosis and a lack of insight, you don't half begin to doubt yourself. So yeah, I think I'm probably okay, but I'm having to… regain my trust I suppose in my own thinking. (Male, Service User, Interview) 21Being too well could also be a barrier to undertaking facilitated treatment planning. Service users might feel that they had not experienced a ‘genuine crisis’, were sufficiently improved, may not want to recall or were embarrassed about previous periods of illness, increasing their reluctance to take part. 32 , 42 , 46 , 61 , 66 , 67 , 69
-
(iv)
Completing a plan
In the context that most service users wanted to be involved in planning for their care, much more so than handing over decision‐making to another person 70 —some may feel hesitant, lacking confidence to begin, 46 , 71 , 72 and can find aspects of completing a plan to be difficult. Difficulties can be experienced with long, repetitive, detailed or legal documents (i.e., some psychiatric advance directives), challenging language or questions, not understanding the document or knowing what to write, also with problem‐solving, deciding on actual preferences and completing the plans. 32 , 38 , 42 , 44 , 46 , 52 , 73 , 74 , 75 Some healthcare providers can also find some plans to be too long 62 or the process too elaborate. 76
Although in one study most service users preferred some guidance in the form of a template, it was also noted that a treatment planning document that looked too bureaucratic and rigid was off‐putting. 42Yeah, that [referring to one of the three AS forms shown in the focus group] just looks like a normal form that the government gets us to fill out every couple of weeks when we're—couple of months when we're being check [sic] up upon […] whereas people aren't going to, you know? They're going to go, ‘Oh, hang on, I'm still not going to trust this again’, and throw it out. Why bother? 42
Clinicians too found plan templates without flexibility challenging to complete. 77 It may also be difficult to find a balance between information that service users are able and comfortable providing and which they want to relay, versus what healthcare professionals find useful, particularly in a crisis. 42 , 78 , 79
The way a plan was introduced and provided to service users was also important—simply providing written information for the service user to take home and read was not a successful strategy and trying to complete a plan by providing support over the phone could also be problematic. 42 Cultural and language differences could also be a barrier, from the clinician's perspective, that sometimes hindered the shared decision‐making experience. 33 , 49 , 52
Involving different parties (including colleagues and family members) in the planning process was another barrier that has been reported as being difficult, or at least perceived as difficult. 31 , 36 , 65 , 69
Additional barriers to plan completion may also be experienced by (a) younger people, in one study those under median age 42 years were less likely to complete a plan compared with their older counterparts 53 ; (b) people discharged, relocating away or not receiving care from services where such planning occurred 32 , 80 ; (c) people who were experiencing homelessness and poverty; 42 , 69 and (d) although less education was shown to be associated with higher rates of plan completion, 81 illiteracy was viewed by both service users and providers as a potentially significant barrier to planning involvement and completion, and may influence whether clinicians offer such planning opportunities. 28 , 42 , 45 , 56
-
(v)
Use of the plan
Service users were concerned about how such plans would be used, when the purpose of the planning intervention was not explained to them and they did not trust mental health professionals to use it in a way that would benefit them. 50 , 82 In addition, some clinicians and service users reported perceptions that the plans would lack usefulness. 40 , 50 , 69 , 83
Clinicians also reported concern that if they helped to prepare a plan with a service user, they could not ensure that future treating professionals would use and honour the plan and that this would undermine the process. 21 Service users too worried whether the plan would be respected and used by their healthcare team.
… if it's not followed through by the doctors… … Yeah, it's going to create a bigger… So, in a sense that would make it even worse for someone trusting the process [… Trust] It's a massive part [of the process]. 42
It seems that these concerns were not unfounded. When investigated, it was relatively common for people's plans not to be reviewed after completion 42 , 50 , 78 , 80 , 84 , 85 or followed by treating clinicians, 36 , 50 , 61 , 81 , 84 , 86 , 87 even more so if a person was involuntarily admitted into care. 81 The research indicates that preferred care as outlined in a plan was not followed by clinicians: without reason, because the service user was deemed to have disengaged or not followed the plan, because it was deemed not to be in the service users' best interests, because nominated support people/decision‐makers were unavailable on the day, because staff did not look for such a plan or if they did come across one, they did not understand its purpose and because the treating team could not agree on how to implement the plan. The implications of decisions made by the healthcare team not to follow plans were impactful on service users. For example, people were involuntarily admitted when their plan specified other reasonable alternatives, or were given injectable depot medication when their plan refused injections. 84
Another significant barrier to these plans being used was a lack of accessibility, where and by whom they were needed. 21 , 40 , 42 , 44 , 61 , 84 , 86 , 88 Relatedly, plans were generally not well integrated with the electronic medical records for ease of access. 42 , 44 , 61 Also, in some studies, it was common for clinicians not to provide service users with a copy of their plan. 42 , 89 This is problematic, as some service users reported having trouble recalling details of their plan; 88 , 90 , 91 they therefore needed to be able to access and share it with people of their choosing. At the same time, service users reported difficulty keeping track of a piece of paper 83 and had concerns about privacy and confidentiality. 46 , 83 , 86
For plans that were accessible, those that were incomplete or inadequate, lacked information on medication and lacked contact details for key people were clinician‐rated as being less useful in follow‐up reviews or during a crisis. 31 , 36 Conversely, though, clinicians thought that if the plans were too long, they would also not be useful, particularly in an emergency. 42
-
3.
Relationship barriers
Fear and distrust were prominent, impacting on relationships, and as a result were a significant barrier to shared and supported decision‐making in treatment planning. For example:
-
(i)
Service users
Some people with mental illness did not want to engage in treatment planning, or were opposed to taking part. 37 , 54 , 58 , 64 , 92 , 93 For those people who did not participate, and even for the service users who did, distrust, 21 , 30 , 32 , 42 , 47 , 93 , 94 fear 47 , 50 , 89 and disempowerment 21 , 29 , 32 , 42 , 47 , 84 , 95 of and by clinicians and the system were reported—based on people's previous negative experiences 38 of being disrespected (see below), coerced 32 , 42 , 47 , 53 , 88 and not having their needs met 29 , 70 , 73 in treatment.
-
(ii)
Mental health professionals
There were widespread reports of service users having negative interactions with their clinicians, both in the past and during facilitated treatment planning, which presented a substantial barrier to undertaking this kind of intervention. For example, clinicians were reported as being disrespectful of service users by being inconsistent (saying or promising one thing and doing something else), condescending, patronising and judgemental, by not listening, not taking the time to explain matters and not respecting service users' wishes. 29 , 42 , 47 , 50 , 51 , 64 , 71 , 84 , 86 , 96 , 97
Furthermore, many clinicians were resistant to changing their practices to accommodate shared or supported decision‐making in treatment planning. For example, in one study, no psychiatrists went to service‐wide training attended by 350 other health professionals. 3 , 41 Also, in one large randomised‐controlled trial, many clinicians did not follow the intervention protocol, 97 many did not engage in the process 21 and for those who were exposed to the intervention, it did not result in subsequent changes to planning documents. 98
… But I remember, on the day that [the facilitator] came [the psychiatrist] was on the [computer], he was so rude […] and he was on his [computer] most of the time when [the facilitator] was talking. He had his back turned. 21
[The JCP Facilitator] had made an appointment and turned up and [the psychiatrist] refused to let her in to my meeting, he said ‘not on my time’ he said. 47
Clinicians not following or engaging in the intervention protocol was similarly reported in other studies. 29 , 33 , 37 , 46 , 51 , 52 , 59 , 74 , 99 , 100 More experienced clinicians were found to be associated with lower completion rates of crisis plans with service users. 81 In addition, several studies reported that substantial effort or support was required for clinicians to change their approaches and routine practices. 57 , 101
One obstacle may be that many clinicians believe that they are already doing shared decision‐making in treatment planning 21 , 30 , 32 , 33 , 34 , 46 , 47 , 54 , 97 —although when they describe their practices, it suggests otherwise. 97 Clinicians also acknowledged that they had other priorities, 31 , 46 , 60 were sceptical about the associated benefits 21 , 61 , 76 , 97 and found shared decision‐making a challenge, including emotionally. 36 , 38 , 40 , 52 , 58 , 102 For example, in one intervention, service users who were trained in shared decision‐making were perceived by clinicians to be ‘more difficult’. 103 Also, on the one hand, while clinicians found it difficult that some service users were less motivated to take part, on the other hand, when service users were more involved, clinicians also found it problematic when there was disagreement 36 —including holding concerns that service user decisions might conflict with perceived obligations for beneficence. 21 Furthermore, clinicians were concerned with the additional effort and engagement required, 33 , 34 , 59 the limited care pathways available, 21 , 32 , 52 that they would not be able to follow through on a person's wishes 47 and that risk/organisational management requirements specifically undermined the therapeutic relationship. 41 , 47 That is, clinicians were fearful too—of outcomes and the process, of how service users, therapeutic relationships and their careers would be impacted. Experiences of imposing involuntary treatments also made some feel uncomfortable about subsequently talking with service users about supported decision‐making. 89 In addition, there were some clinicians who expressed views that they thought shared decision‐making should not involve clinicians, 47 that this type of treatment planning is unnecessary or pointless, 40 , 48 , 76 that service users do not want to engage in the process 21 , 54 or that they want to engage too much, 52 they will not accept their diagnosis, are indecisive and cannot handle the process 52 and that service users already know what to do. 21
As a result, key elements of facilitated decision‐making did not occur. For example, service users' knowledge was not drawn upon 29 ; collaboration did not occur; 36 , 69 , 97 service users were presented with limited options or ‘choices’ that were not really choices' 21 , 47 and goal‐setting reflected mental health professionals' aspirations rather than service user needs and expectations. 58 Simply attempting to undertake shared or supported decision‐making in treatment planning did not guarantee an improved therapeutic alliance 84 , 92 ; if not done well, it could further expose those relationships that were not working. 30
3.4. Comparison of qualitative and quantitative evidence
When comparing the qualitative and quantitative evidence on the barriers to shared and supported decision‐making in mental health treatment planning, two key observations are made. The evidence on organisational‐ and relationship‐type barriers to date has been primarily qualitative in nature and could therefore be strengthened by future quantitative research in these areas. Evidence on process‐type barriers was more balanced between both qualitative and quantitative results. However, both of these observations need to be considered in the context of one of the biggest gaps in research to date, that there is a need to further develop a stronger replicated body of evidence on any one specific tool.
4. DISCUSSION
Research to date in this field can be described as primarily exploratory in nature, with a wide range of intervention types and parameters investigated, and little replication. More work is needed to consolidate the findings of that exploratory research, and to now extend investigations into supported decision‐making. However, from the body of knowledge generated by the research included in this review, it is clear that numerous barriers exist to the greater involvement of people with mental ill health in care and treatment planning, that is, to shared and supported decision‐making in mental healthcare.
Three main barriers were identified: Organisational barriers, Process barriers and Relationship barriers, with notable overlap existing between them. Central to and underlying all three of these barriers were the common and intertwined threads of fear and distrust—fear of the unknown, of change, of not meeting expectations, of past negative experiences reoccurring and of potential consequences, as well as distrust in one's self, distrust in others, the system and in the benefits of shared and supported decision‐making in treatment planning.
Distrust has been identified as a key barrier for other new interventions in the mental healthcare field. For example, Tørseth and Ådnanes 104 found that in the implementation of a new care pathway approach to mental health services in Norway, distrust by clinicians played a considerable role in creating resistance to the adoption of the new approach. Similarly, for service users, distrust has been identified as a key barrier in mental healthcare, where coercion 105 and the fear of negative consequences as well as lack of fairness, transparency and accountability 89 impact on a service user's trust in their care provider and the system.
It follows, then, that minimising these barriers and providing the right organisational, process and relationship assistance are key to successful shared and supported decision‐making in mental health treatment planning. With the need to develop trust at the heart of the actions to be taken. For example, in order to take part in shared or supported decision‐making in treatment planning in the first instance, service users say that they must be able to trust the professional who is facilitating the process, 29 , 42 while clinicians need to be able to trust that their organisation supports and prioritises this type of intervention, that service users want to be involved, that service users can and do make reasonable requests and decisions and that it is feasible and of benefit. Coulter 106 highlighted that this type of decision‐making is more than just a process; it is also a relationship, and the foundational need for trust as a key facilitator of shared decision‐making has been identified in numerous other fields including oncology, paediatrics and indigenous health. 107 , 108 , 109
4.1. Review limitations
The results of this review need to be considered in the context of its limitations. While some data relevant to quality of the research reviewed were captured and are presented descriptively, a formal quality assessment of the included articles was not undertaken. In addition, only English‐language publications were included, therefore excluding any research described in other languages and potentially under‐representing studies from low‐ and middle‐income countries. The review is also limited to research on adults seeking mental healthcare and therefore does not consider efforts to implement shared and supported decision‐making for children and young people.
5. CONCLUSIONS
Three recommendations arise from this review, corresponding with the three types of barriers identified. First, when implementing new programs or policies that seek to introduce and embed supported decision‐making into routine care practices, particular attention must be paid to reducing organisational barriers. Sufficient staffing levels, time and education are especially important and must be available so that clinical staff are themselves supported by and trust in the organisation, in order to undertake this type of decision‐making with service users. If lacking, innovation will be difficult to translate into widespread implementation, as has similarly been reported for other health initiatives. 110 , 111 , 112 Tools to assist supported decision‐making in routine care will be useful in this setting.
Therefore, we also recommend that during the design of new tools for the purpose of supported decision‐making, developers must as a priority seek to reduce the process barriers identified in this review. The length of time that it takes to complete a facilitated treatment plan is no doubt a key issue to be addressed and further investigated, noting that interventions taking as little as 15 minutes have already been designed. 113 In addition, how people understand, view, use and trust any such tool will be critical in its success—involving service users and service providers in co‐design of new tools can help address these factors. 114 , 115 New tools must also accommodate people's dynamic health status and the associated flexibility required in the support offered, as well as consider how any care or treatment plan created through the tool will be accessible to those who need it, when and where they need it.
For clinicians wanting to incorporate supported decision‐making into their practices, a particular awareness of the relationship barriers identified will be necessary, as will attempts to reduce them. A commitment to genuinely reflect on and adjust practices, perceptions and power balances, and to seek ways to help reduce service user fear, distrust and disempowerment, will be critical. Laugharne et al. 116 found that from service user perspectives, clinician features that help develop trust include a willingness to listen, honesty, reliability, kindness and being positive about the future. While empowerment will surely be facilitated in a respectful relationship in which human rights, as per the CRPD, are central and upheld.
AUTHOR CONTRIBUTIONS
Cathy J. Francis: Conceptualization; investigation; writing—original draft; methodology; writing—review & editing; formal analysis; data curation; project administration; validation. Rhonda L. Wilson: Conceptualization; methodology; writing—review & editing; formal analysis; project administration; supervision; validation. Amanda Johnson: Methodology; writing—review and editing; supervision; project administration; validation.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
Supporting information
Supporting information.
ACKNOWLEDGEMENTS
The lead author is funded by a stipend scholarship under the Australian Government Research Training Program, to undertake a Master of Philosophy in mental health research. Open access publishing facilitated by The University of Newcastle, as part of the Wiley ‐ The University of Newcastle agreement via the Council of Australian University Librarians.
Francis CJ, Johnson A, Wilson RL. Supported decision‐making interventions in mental healthcare: a systematic review of current evidence and implementation barriers. Health Expect. 2024;27:e14001. 10.1111/hex.14001
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. United Nations . Convention on the rights of persons with disabilities. 2022. Accessed December 7, 2022. https://www.ohchr.org/en/instruments-mechanisms/instruments/convention-rights-persons-disabilities
- 2. Kokanovic R, Brophy L, McSherry B, et al. Options for supported decision‐making to enhance the recovery of speople experiencing severe mental health problems. Melbourne: Melbourne Social Equity Institute, University of Melbourne. 2017.
- 3. Lovell K, Bee P, Brooks H, et al. Embedding shared decision‐making in the care of patients with severe and enduring mental health problems: the EQUIP pragmatic cluster randomised trial. PloS one. 2018;13:e0201533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Nicaise P, Lorant V, Dubois V. Psychiatric Advance Directives as a complex and multistage intervention: a realist systematic review. Health Soc Care Community. 2013;21:1‐14. [DOI] [PubMed] [Google Scholar]
- 5. Slade M. Implementing shared decision making in routine mental health care. World Psychiatry. 2017;16:146‐153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Bee P, Brooks H, Fraser C, Lovell K. Professional perspectives on service user and carer involvement in mental health care planning: a qualitative study. Int J Nurs Stud. 2015;52:1834‐1845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Coulter A, Entwistle V, Eccles A, et al. Personalised care planning for adults with chronic or long‐term health conditions. Cochrane Database Syst Rev. 2015;2015:1‐118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Dawson S, Lawn S, Simpson A, Muir‐Cochrane E. Care planning for consumers on community treatment orders: an integrative literature review. BMC Psychiatry. 2016;16:394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Small N, Brooks H, Grundy A, et al. Understanding experiences of and preferences for service user and carer involvement in physical health care discussions within mental health care planning. BMC Psychiatry. 2017;17:138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Read J. How important are informed consent, informed choice, and patient‐doctor relationships, when prescribing antipsychotic medication? J Ment Health. 2022:1‐9. 10.1080/09638237.2022.2069708 [DOI] [PubMed] [Google Scholar]
- 11. Bee P, Price O, Baker J, Lovell K. Systematic synthesis of barriers and facilitators to service user‐led care planning. Br J Psychiatry. 2015;207:104‐114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Jones A, Hannigan B, Coffey M, Simpson A. Traditions of research in community mental health care planning and care coordination: a systematic meta‐narrative review of the literature. PloS one. 2018;13:e0198427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Care Quality Commission . Community mental health survey 2022. 2022. Accessed December 7, 2022. https://www.cqc.org.uk/publications/surveys/community-mental-health-survey
- 14. State of Victoria . Royal Commission into Victoria's Mental Health System, Final Report. Summary and recommendations. Parl Paper No. 202, Session 2018–21 (document 1 of 6). 2021.
- 15. Bui TNT, Hotham E, Loughhead M, et al. Exploring mental health clients' current medication knowledge, beliefs and experience with healthcare providers in the community in South Australia. Health Soc Care Community. 2022;30:e5968‐e5978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. MacLeay E, Fry M, Roche MA, Montilla T. Care planning and nonpharmacological interventions in a metropolitan inpatient dual diagnosis service: a retrospective exploratory study. Int J Ment Health Nurs. 2020;29:856‐867. [DOI] [PubMed] [Google Scholar]
- 17. Wyder M, Kisely S, Meurk C, et al. The language we use—the effect of writing mental health care plans in the first person. Australas Psychiatry. 2018;26:496‐502. [DOI] [PubMed] [Google Scholar]
- 18. Beyene LS, Severinsson E, Hansen BS, Rørtveit K. Shared decision‐making—balancing between power and responsibility as mental health‐care professionals in a therapeutic milieu. SAGE Open Nurs. 2018;4:237796081775215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Davidson G, Kelly B, Macdonald G, et al. Supported decision making: a review of the international literature. Int J Law Psychiatry. 2015;38:61‐67. [DOI] [PubMed] [Google Scholar]
- 20. Drake RE, Cimpean D, Torrey WC. Shared decision making in mental health: prospects for personalized medicine. Dialogues Clin Neurosci. 2009;11:455‐463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Farrelly S, Lester H, Rose D, et al. Barriers to shared decision making in mental health care: qualitative study of the Joint Crisis Plan for psychosis. Health Expect. 2016;19:448‐458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Gooding P. Supported decision‐making: a rights‐based disability concept and its implications for mental health law. Psychiatry, Psychol Law. 2013;20:431‐451. [Google Scholar]
- 23. Campbell LA, Kisely SR. Advance treatment directives for people with severe mental illness. Cochrane Database Syst Rev. 2009;2009:1‐34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. de Jong MH, Kamperman AM, Oorschot M, et al. Interventions to reduce compulsory psychiatric admissions: a systematic review and meta‐analysis. JAMA Psychiatry. 2016;73:657‐664. [DOI] [PubMed] [Google Scholar]
- 25. Molyneaux E, Turner A, Candy B, Landau S, Johnson S, Lloyd‐Evans B. Crisis‐planning interventions for people with psychotic illness or bipolar disorder: systematic review and meta‐analyses. BJPsych Open. 2019;5:e53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Lizarondo L, Stern C, Carrier J, et al. Mixed methods systematic reviews. In: Aromataris E., Munn Z., eds. JBI Manual for Evidence Synthesis. JBI; 2020. [DOI] [PubMed] [Google Scholar]
- 28. Pithara C, Farr M, Sullivan SA, et al. Implementing a digital tool to support shared care planning in community‐based mental health services: qualitative evaluation. J Med Internet Res. 2020;22(3):e14868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Knutsson O, Schön U‐K. Co‐creating a process of user involvement and shared decision‐making in coordinated care planning with users and caregivers in social services. Int J Qual Stud Health Well‐Being. 2020;15:1812270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Strand M, Gammon D, Eng LS, Ruland C. Exploring working relationships in mental health care via an E‐recovery portal: qualitative study on the experiences of service users and health providers. JMIR Ment Health. 2017;4:e54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Williams TM, Smith GP, Lumbus AM. Evaluating the introduction of joint crisis plans into routine clinical practice in four community mental health services. Australas Psychiatry. 2014;22:476‐480. [DOI] [PubMed] [Google Scholar]
- 32. Wauchope B, O'kearney R, Bone L, Urbanc A. Advance agreements for mental health care: an examination of process and outcomes. Aust N Z J Psychiatry. 2011;45:281‐288. [DOI] [PubMed] [Google Scholar]
- 33. Allerby K, Goulding A, Ali L, Waern M. Increasing person‐centeredness in psychosis inpatient care: staff experiences from the Person‐Centered Psychosis Care (PCPC) project. BMC Health Serv Res. 2022;22:596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Finnerty M, Austin E, Chen Q, et al. Implementation and use of a client‐facing web‐based shared decision‐making system (MyCHOIS‐CommonGround) in two specialty mental health clinics. Community Ment Health J. 2019;55:641‐650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Gordon C, Gidugu V, Rogers ES, DeRonck J, Ziedonis D. Adapting open dialogue for early‐onset psychosis into the U.S. health care environment: a feasibility study. Psychiatr Serv. 2016;67:1166‐1168. [DOI] [PubMed] [Google Scholar]
- 36. Jones A, Knutsson O, Schön U‐K. Coordinated individual care planning and shared decision making: staff perspectives within the comorbidity field of practice. Eur J Soc Work. 2022;25:355‐367. [Google Scholar]
- 37. Moncrieff J, Azam K, Johnson S, et al. Results of a pilot cluster randomised trial of the use of a Medication Review Tool for people taking antipsychotic medication. BMC Psychiatry. 2016;16:205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. O'Connor RC, Smillie S, McClelland H, et al. SAFETEL: a pilot randomised controlled trial to assess the feasibility and acceptability of a safety planning and telephone follow‐up intervention to reduce suicidal behaviour. Pilot Feasibility Stud. 2022;8:156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Stanojlović M, O'Connell M, Asby D, Lanteri S, Davidson L, Tondora J. Implementing person‐centered recovery planning: new England mental health technology transfer center learning collaborative evaluation report. Glob Implement Res Appl. 2023;3:173‐181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Lequin P, Ferrari P, Suter C, et al. The joint crisis plan: a powerful tool to promote mental health. Front Psychiatry. 2021;12:621436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Lovell K, Bee P, Bower P, et al. Training to enhance user and carer involvement in mental health‐care planning: the EQUIP research programme including a cluster RCT. Programme Grants Appl Res. 2019;7:1‐140. [PubMed] [Google Scholar]
- 42. Giuntoli G, Thorburn K, Dennis I. Development and Introduction of a Consumer‐Designed Advance Statement for Mental Health Care in the Nepean Blue Mountains Local Health District: Findings from a Pilot Study. Social Policy Research Centre, UNSW Sydney; 2019. [Google Scholar]
- 43. Rylance R, Graham P. Implementing the Four Core Care Plans across a large independent mental health organisation to improve practice. Ment Health Pract. 2021;24:22‐27. [Google Scholar]
- 44. Kemp K, Zelle H, Bonnie RJ. Embedding advance directives in routine care for persons with serious mental illness: implementation challenges. Psychiatr Serv. 2015;66:10‐14. [DOI] [PubMed] [Google Scholar]
- 45. Farr M, Pithara C, Sullivan S, et al. Pilot implementation of co‐designed software for co‐production in mental health care planning: a qualitative evaluation of staff perspectives. J Ment Health. 2019;28:495‐504. [DOI] [PubMed] [Google Scholar]
- 46. Steare T, Giorgalli M, Free K, et al. A qualitative study of stakeholder views on the use of a digital app for supported self‐management in early intervention services for psychosis. BMC Psychiatry. 2021;21:311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Farrelly S, Lester H, Rose D, et al. Improving therapeutic relationships: joint crisis planning for individuals with psychotic disorders. Qual Health Res. 2015;25:1637‐1647. [DOI] [PubMed] [Google Scholar]
- 48. Kadir S, Fenton K. Staff perspectives on using the Recovery Star in mental health inpatient rehabilitation services. Ment Health Pract. 2021;24(4):e1466. [Google Scholar]
- 49. Vaka S, Hamer HP, Mesui‐Henry A. The effectiveness of ūloa as a model supporting Tongan people experiencing mental distress. Int J Ment Health Nurs. 2022;31:1438‐1445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Reid R, Escott P, Isobel S. Collaboration as a process and an outcome: consumer experiences of collaborating with nurses in care planning in an acute inpatient mental health unit. Int J Ment Health Nurs. 2018;27:1204‐1211. [DOI] [PubMed] [Google Scholar]
- 51. Clark LL, Lekkai F, Murphy A, Perrino L, Bapir‐Tardy S, Barley EA. The use of positive behaviour support plans in mental health inpatient care: a mixed methods study. J Psychiatr Ment Health Nurs. 2020;27:140‐150. [DOI] [PubMed] [Google Scholar]
- 52. van der Krieke L, Emerencia AC, Boonstra N, Wunderink L, de Jonge P, Sytema S. A web‐based tool to support shared decision making for people with a psychotic disorder: randomized controlled trial and process evaluation. J Med Internet Res. 2013;15:e216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Scheyett AM. Clinician Impact on Consumer Decisions Regarding Psychiatric Advance Directives. Memorial University of Newfoundland; 2008.
- 54. Etingen B, Hessinger JD, Hunley HA. Training providers in shared decision making for trauma treatment planning. Psychol Serv. 2020;19(1):125‐133. [DOI] [PubMed] [Google Scholar]
- 55. Bender AM, Schuck A, Peterson AL, et al. LINC to life: evaluation of a safety planning training program with clinicians and mental health staff. Arch Suicide Res. 2021;26(3):1378‐1394. [DOI] [PubMed] [Google Scholar]
- 56. Woltmann E. Development and Investigation of a Decision Support System to Facilitate Shared Decision Making in Community Mental Health. Institution: Dartmouth College. 2010. [DOI] [PubMed]
- 57. Choy‐Brown M. I see your punitive measure and I raise you a person‐centered bar’: supervisory strategies to promote adoption of person‐centered care. Community Ment Health J. 2021;57:1595‐1603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Clavel N, Pomey MP. Clinical governance to enhance user involvement in care: a Canadian multiple case study in mental health. Int J Health Policy Manag. 2020;11(5):658‐669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Gammon D, Strand M, Eng LS, Børøsund E, Varsi C, Ruland C. Shifting practices toward recovery‐oriented care through an E‐recovery portal in community mental health care: a mixed‐methods exploratory study. J Med Internet Res. 2017;19:e145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Ruchlewska A, Mulder CL, Van der Waal R, Kamperman A, Van der Gaag M. Crisis plans facilitated by patient advocates are better than those drawn up by clinicians: results from an RCT. Adm Policy Ment Health. 2014;41:220‐227. [DOI] [PubMed] [Google Scholar]
- 61. van der Ham AJ, Voskes Y, van Kempen N, Broerse JEW, Widdershoven GAM. The implementation of psychiatric advance directives: experiences from a Dutch crisis card initiative. Psychiatr Rehabil J. 2013;36:119‐121. [DOI] [PubMed] [Google Scholar]
- 62. Deegan PE, Rapp C, Holter M, Riefer M. Best practices: a program to support shared decision making in an outpatient psychiatric medication clinic. Psychiatr Serv. 2008;59:603‐605. [DOI] [PubMed] [Google Scholar]
- 63. Roebroek LO, Bruins J, Delespaul P, Boonstra A, Castelein S. Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders. BMC Med Inform Decis Mak. 2020;20:234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Farrelly S, Brown G, Rose D, et al. What service users with psychotic disorders want in a mental health crisis or relapse: thematic analysis of joint crisis plans. Soc Psychiatry Psychiatr Epidemiol. 2014;49:1609‐1617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Matscheck D, Piuva K. In the centre or caught in the middle?—Social workers' and healthcare professionals' views on user involvement in coordinated individual plans in Sweden. Health Soc Care Community. 2021;30(3):1077‐1085. [DOI] [PubMed] [Google Scholar]
- 66. Michaud L, Dorogi Y, Gilbert S, Bourquin C. Patient perspectives on an intervention after suicide attempt: the need for patient centred and individualized care. PloS one. 2021;16:e0247393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Pratt R, MacGregor A, Reid S, Given L. Experience of wellness recovery action planning in self‐help and mutual support groups for people with lived experience of mental health difficulties. ScientificWorldJournal. 2013;2013:1‐7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Mott JM, Stanley MA, Street Jr., RL , Grady RH, Teng EJ. Increasing engagement in evidence‐based PTSD treatment through shared decision‐making: a pilot study. Mil Med. 2014;179:143‐149. [DOI] [PubMed] [Google Scholar]
- 69. Shields LS, Pathare S, van Zelst SD, Dijkkamp S, Narasimhan L, Bunders JG. Unpacking the psychiatric advance directive in low‐resource settings: an exploratory qualitative study in Tamil Nadu, India. Int J Ment Health Syst. 2013;7:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Easter MM, Swanson JW, Robertson AG, Moser LL, Swartz MS. Facilitation of Psychiatric Advance Directives by peers and clinicians on assertive community treatment teams. Psychiatr Serv. 2017;68:717‐723. [DOI] [PubMed] [Google Scholar]
- 71. Goscha R, Rapp C. Exploring the experiences of client involvement in medication decisions using a shared decision making model: results of a qualitative study. Community Ment Health J. 2015;51:267‐274. [DOI] [PubMed] [Google Scholar]
- 72. Gibson A, Cooper M, Rae J, Hayes J. Clients' experiences of shared decision making in an integrative psychotherapy for depression. J Eval Clin Pract. 2020;26:559‐568. [DOI] [PubMed] [Google Scholar]
- 73. Van Dorn RA, Swanson JW, Swartz MS, Elbogen E, Ferron J. Reducing barriers to completing psychiatric advance directives. Adm Policy Ment Health. 2008;35:440‐448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Barr PJ, Forcino RC, Dannenberg MD, et al. Healthcare Options for People Experiencing Depression (HOPE*D): the development and pilot testing of an encounter‐based decision aid for use in primary care. BMJ Open. 2019;9:e025375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. McNeely HE, Letts L, Martin ML, et al. Participants' evaluation and outcomes following integration of self‐management support into outpatient schizophrenia case management. Int J Environ Res Public Health. 2023;20(4):3035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Radenbach K, Falkai P, Weber‐Reich T, Simon A. Joint crisis plans and psychiatric advance directives in German psychiatric practice. J Med Ethics. 2014;40:343‐345. [DOI] [PubMed] [Google Scholar]
- 77. Stanhope V, Matthews EB. Delivering person‐centered care with an electronic health record. BMC Med Inform Decis Mak. 2019;19:168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Rogers B, Dunne E. A qualitative study on the use of the care programme approach with individuals with borderline personality disorder: a service user perspective. J Psychosoc Nurs Ment Health Serv. 2013;51:38‐45. [DOI] [PubMed] [Google Scholar]
- 79. Deegan PE, Carpenter‐Song E, Drake RE, Naslund JA, Luciano A, Hutchison SL. Enhancing clients' communication regarding goals for using psychiatric medications. Psychiatr Serv. 2017;68:771‐775. [DOI] [PubMed] [Google Scholar]
- 80. Gamarra JM, Luciano MT, Gradus JL, Wiltsey Stirman S. Assessing variability and implementation fidelity of suicide prevention safety planning in a regional VA healthcare system. Crisis. 2015;36:433‐439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Ruchlewska A, Kamperman AM, Wierdsma AI, van der Gaag M, Mulder CL. Determinants of completion and use of psychiatric advance statements in mental health care in the Netherlands. Psychiatr Serv. 2016;67:858‐863. [DOI] [PubMed] [Google Scholar]
- 82. Kumar TR, John S, Gopal S, Mohan G, Joseph J, Rangaswamy T. Psychiatric advance statements: an Indian experience. Int J Soc Psychiatry. 2013;59:531‐534. [DOI] [PubMed] [Google Scholar]
- 83. Kayman DJ, Goldstein MF, Dixon L, Goodman M. Perspectives of suicidal veterans on safety planning: findings from a pilot study. Crisis. 2015;36:371‐383. [DOI] [PubMed] [Google Scholar]
- 84. Henderson C, Flood C, Leese M, Thornicroft G, Sutherby K, Szmukler G. Views of service users and providers on joint crisis plans: single blind randomized controlled trial. Soc Psychiatry Psychiatr Epidemiol. 2009;44:369‐376. [DOI] [PubMed] [Google Scholar]
- 85. Green JD, Kearns JC, Rosen RC, Keane TM, Marx BP. Evaluating the effectiveness of safety plans for military veterans: do safety plans tailored to veteran characteristics decrease suicide risk? Behav Ther. 2018;49:931‐938. [DOI] [PubMed] [Google Scholar]
- 86. Maylea C, Jorgensen A, Matta S, Ogilvie K, Wallin P. Consumers' experiences of mental health advance statements. Laws. 2018;7:22. [Google Scholar]
- 87. Swanson JW, Swartz MS, Elbogen EB, et al. Psychiatric advance directives and reduction of coercive crisis interventions. J Ment Health. 2008;17:255‐267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Ambrosini DL, Crocker AG, Latimer E. Preferences for instructional or proxy advance directives in mental health: an exploratory mixed methods study. J Ethics Ment Health. 2011;6:1‐19. [Google Scholar]
- 89. Livingston JD, Nijdam‐Jones A, Team P.E.E.R . Perceptions of treatment planning in a forensic mental health hospital: a qualitative, participatory action research study. Int J Forensic Ment Health. 2013;12:42‐52. [Google Scholar]
- 90. Henderson C, Lee R, Herman D, Dragatsi D. From psychiatric advance directives to the joint crisis plan. Psychiatr Serv. 2009;60:1390‐1391. [DOI] [PubMed] [Google Scholar]
- 91. Kisely S, Wyder M, Dietrich J, Robinson G, Siskind D, Crompton D. Motivational aftercare planning to better care: applying the principles of advanced directives and motivational interviewing to discharge planning for people with mental illness. Int J Ment Health Nurs. 2017;26:41‐48. [DOI] [PubMed] [Google Scholar]
- 92. Easter MM, Swanson JW, Robertson AG, et al. Impact of psychiatric advance directive facilitation on mental health consumers: empowerment, treatment attitudes and the role of peer support specialists. J Ment Health. 2020;30(5):585‐593. [DOI] [PubMed] [Google Scholar]
- 93. Ambrosini DL, Bemme D, Crocker AG, et al. Narratives of individuals concerning psychiatric advance directives: qualitative study. J Ethics Ment Health. 2012;6:1‐9. [Google Scholar]
- 94. Woltmann EM, Whitley R. Shared decision making in public mental health care: perspectives from consumers living with severe mental illness. Psychiatr Rehabil J. 2010;34:29‐36. [DOI] [PubMed] [Google Scholar]
- 95. Cook JA, Copeland ME, Corey L, et al. Developing the evidence base for peer‐led services: changes among participants following Wellness Recovery Action Planning (WRAP) education in two statewide initiatives. Psychiatr Rehabil J. 2010;34:113‐120. [DOI] [PubMed] [Google Scholar]
- 96. Borschmann R, Trevillion K, Henderson RC, Rose D, Szmukler G, Moran P. Advance statements for borderline personality disorder: a qualitative study of future crisis treatment preferences. Psychiatr Serv. 2014;65:802‐807. [DOI] [PubMed] [Google Scholar]
- 97. Thornicroft G, Farrelly S, Szmukler G, et al. Clinical outcomes of Joint Crisis Plans to reduce compulsory treatment for people with psychosis: a randomised controlled trial. Lancet. 2013;381:1634‐1641. [DOI] [PubMed] [Google Scholar]
- 98. Farrelly S, Szmukler G, Henderson C, et al. Individualisation in crisis planning for people with psychotic disorders. Epidemiol Psychiatr Sci. 2014;23:353‐359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Bush A, Campbell W, Ransfield M. Te Ara Waiora a Tāne: a kaupapa Māori mental‐health assessment and intervention planning approach. Australas Psychiatry. 2019;27:337‐340. [DOI] [PubMed] [Google Scholar]
- 100. Campbell SR, Holter MC, Manthey TJ, Rapp CA. The effect of CommonGround Software and decision support center. Am J Psychiatr Rehab. 2014;17:166‐180. [Google Scholar]
- 101. Ruchlewska A, Wierdsma AI, Kamperman AM, et al. Effect of crisis plans on admissions and emergency visits: a randomized controlled trial. PloS one. 2014;9:e91882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Alegría M, Polo A, Gao S, et al. Evaluation of a patient activation and empowerment intervention in mental health care. Med Care. 2008;46:247‐256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Hamann J, Mendel R, Meier A, et al. “How to Speak to Your Psychiatrist": shared decision‐making training for inpatients with schizophrenia. Psychiatr Serv. 2011;62:1218‐1221. [DOI] [PubMed] [Google Scholar]
- 104. Tørseth TN, Ådnanes M. Trust in pathways? Professionals' sensemaking of care pathways in the Norwegian mental health services system. BMC Health Serv Res. 2022;22:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Hem MH, Gjerberg E, Husum TL, Pedersen R. Ethical challenges when using coercion in mental healthcare: a systematic literature review. Nurs Ethics. 2018;25:92‐110. [DOI] [PubMed] [Google Scholar]
- 106. Coulter A. Shared decision making: everyone wants it, so why isn't it happening? World Psychiatry. 2017;16:117‐118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Covvey JR, Kamal KM, Gorse EE, et al. Barriers and facilitators to shared decision‐making in oncology: a systematic review of the literature. Supp Care Cancer. 2019;27:1613‐1637. [DOI] [PubMed] [Google Scholar]
- 108. Boland L, Graham ID, Légaré F, et al. Barriers and facilitators of pediatric shared decision‐making: a systematic review. Implement Sci. 2019;14:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Groot G, Waldron T, Barreno L, Cochran D, Carr T. Trust and world view in shared decision making with indigenous patients: a realist synthesis. J Eval Clin Pract. 2020;26:503‐514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Ellen ME, Léon G, Bouchard G, Ouimet M, Grimshaw JM, Lavis JN. Barriers, facilitators and views about next steps to implementing supports for evidence‐informed decision‐making in health systems: a qualitative study. Implement Sci. 2014;9:179‐190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Rubio‐Valera M, Pons‐Vigués M, Martínez‐Andrés M, Moreno‐Peral P, Berenguera A, Fernández A. Barriers and facilitators for the implementation of primary prevention and health promotion activities in primary care: a synthesis through meta‐ethnography. PloS one. 2014;9:e89554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Geerligs L, Rankin NM, Shepherd HL, Butow P. Hospital‐based interventions: a systematic review of staff‐reported barriers and facilitators to implementation processes. Implement Sci. 2018;13:36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Philip S, Chandran D, Stezin A, et al. EAT‐PAD: educating about psychiatric advance directives in India. Int J Soc Psychiatry. 2019;65:207‐216. [DOI] [PubMed] [Google Scholar]
- 114. Springham N, Robert G. Experience based co‐design reduces formal complaints on an acute mental health ward. BMJ Qual Improv Rep. 2015;4:u209153.w3970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Thabrew H, Fleming T, Hetrick S, Merry S. Co‐design of eHealth interventions with children and young people. Front Psychiatry. 2018;9:481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Laugharne R, Priebe S, McCabe R, Garland N, Clifford D. Trust, choice and power in mental health care: experiences of patients with psychosis. Int J Soc Psychiatry. 2012;58:496‐504. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supporting information.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
