Matthew Menear

Training health professionals in shared decision-making: An international environmental scan

OBJECTIVE To update an environmental scan of training programs in SDM for health professionals. METHODS We searched two systematic reviews for SDM training programs targeting health professionals produced from 2011 to 2015, and also in Google and social networks. With a standardized data extraction sheet, one reviewer extracted program characteristics. All completed extraction forms were validated by a second reviewer. RESULTS We found 94 new eligible programs in four new countries and two new languages, for a total of 148 programs produced from 1996 to 2015-an increase of 174% in four years. The largest percentage appeared since 2012 (45.27%). Of the 94 newprograms, 42.55% targeted licensed health professionals (n=40), 8.51% targeted pre-licensure (n=8), 28.72% targeted both (n=27), 20.21% did not specify (n=19), and 5.32% targeted also patients (n=5). Only 23.40% of the new programs were reported as evaluated, and 21.28% had published evaluations. CONCLUSIONS Production of SDM training programs is growing fast worldwide. Like the original scan, this update indicates that SDM training programs still vary widely. Most still focus on the single provider/patient dyad and few are evaluated. PRACTICE IMPLICATIONS This update highlights the need to adapt training programs to interprofessional practice and to evaluate them.

A Pan-Canadian Evaluation of Supported Employment Programs Dedicated to People with Severe Mental Disorders

Supported employment (SE) is an evidence-based practice that helps people with severe mental disorders obtain competitive employment. The implementation of SE programs in different social contexts has led to adaptations of the SE components, therefore impacting the fidelity/quality of these services. The objective of this study was to assess the implementation of SE services in three Canadian provinces by assessing the fidelity and describing components of SE services using the Quality of Supported Employment Implementation Scale. About 23 SE programs participated in this study. Cluster analyses revealed six profiles of SE programs that varied from high to low level of fidelity with a stronger focus on a particular component, and reflected the reality of service delivery settings. Future investigations are warranted to evaluate relationships between the levels of implementation of SE components and work outcomes while considering individual characteristics of people registered in SE programs.

Extent and Predictors of Decision Regret about Health Care Decisions A Systematic Review

Background. People often face difficult decisions about their health and may later regret the choice that they made. However, little is known about the extent of decision regret in health care or its predictors. We systematically reviewed evidence about the extent of decision regret and its risk factors among individuals making health decisions. Methods. The data sources were Medline, Embase, and reverse citation searches in Google Scholar and Web of Science. Studies using the Decision Regret Scale (DRS) to measure decision regret among individuals making nonhypothetical health decisions were included. There were no restrictions on study design, setting, or language. We extracted characteristics of included studies, measures of central tendency for DRS scores (0 = no regret, 100 = high regret), and all risk factors from published analyses. Quality appraisal was conducted using the Mixed Methods Appraisal Tool. A narrative synthesis was performed owing to the heterogeneity of studies. Results. The initial search yielded 372 unique titles, and 59 studies were included. The overall mean DRS score across studies was 16.5, and the median of the mean scores was 14.3 (standard deviation range = 2.2–34.5) (n = 44 studies). The risk factors most frequently reported to be associated with decision regret in multivariate analyses included higher decisional conflict, lower satisfaction with the decision, adverse physical health outcomes, and greater anxiety levels. Conclusions. The extent of decision regret as assessed with the DRS in nonhypothetical health decisions was often low but reached high levels for some decisions. Several risk factors related to the decision-making process significantly predicted decision regret. Additional research into the psychometrics of the DRS and the relevance of scores for clinicians and patients would increase the validity of decision regret as a patient-reported outcome.

Primary care practice characteristics associated with the quality of care received by patients with depression and comorbid chronic conditions

OBJECTIVE This study aimed to identify primary care practice characteristics associated with the quality of depression care in patients with comorbid chronic medical and/or psychiatric conditions. METHOD Using data from cross-sectional organizational and patient surveys conducted within 61 primary care clinics in Quebec, Canada, the relationships between primary care practice characteristics, comorbidity profile, and the recognition and minimally adequate treatment of depression were assessed using multilevel logistic regression analysis with 824 adults with past-year depression and comorbid chronic conditions. RESULTS Likelihood of depression recognition was higher in clinics where accessibility of mental health professionals was not viewed to be a major barrier to depression care [odds ratio (OR)=1.61; 95% confidence interval (CI) 1.13-2.30]. Four practice characteristics were associated with minimal treatment adequacy: greater use of treatment algorithms for depression (OR=1.77; 95% CI=1.18-2.65), high value given to teamwork (OR=2.48; 95% CI=1.40-4.38), having at least one general practitioner at the clinic devote significant time in practice to mental health (OR=1.54; 95% CI=1.07-2.21) and low perceived barriers to depression care due to inadequate payment models (OR=2.12; 95% CI=1.30-3.46). CONCLUSIONS Several primary care practice characteristics significantly influence the quality of care provided to patients with depression and comorbid chronic conditions and should be targeted in quality improvement efforts.

Quality Indicators for Depression Treatment in Primary Care: A Systematic Literature Review

Introduction: Depression is a mental disorder that is common and chronic, especially if it is initially undertreated. It is now widely recognized that primary care providers have an important role to play in the detection and treatment of depression. However, ensuring quality depression care remains a challenge. Quality indicators for the treatment of depression can help monitor the treatment received by people suffering from depression in primary care and guide improvements needed in that sector. Objectives: To systematically review indicators used to measure the quality of depression treatment in primary care and explore factors leading to divergent results. Method: The literature on the quality of depression treatment was reviewed using “360search”, a federated search engine for searching across multiple databases from a single interface. Databases searched included Pubmed, Embase and PsycINFO and keywords were depression, depressive disorder, quality, treatment, indicator, adequacy, adherence, concordance, clinical guideline and guideline. Additional articles were also identified through a manual search of the reference section of retrieved articles. Results: Though mostly based on recommendations from clinical practice guidelines, a great variety of indicators were observed. Most studies used rudimentary indicators to measure the quality of depression treatment, especially for psychotherapy. Studies also differed greatly with respect to the methods used, thus limiting the comparability of results. However, whatever the chosen method, most studies reveal that a large proportion of people with depression do not receive minimally adequate treatment in primary care settings. Conclusion: The implications of these findings and future research directions are discussed.

Chronic physical comorbidity burden and the quality of depression treatment in primary care: A systematic review

OBJECTIVE We examined whether the treatment and follow-up care for depression in routine primary care differs between adults with higher chronic physical comorbidity burden compared to adults with lower chronic physical comorbidity burden and explored factors leading to divergent results across studies. METHODS We conducted a systematic review of English and French articles using Medline, Embase, PsycINFO, CINAHL and Cochrane Controlled Trials Register from inception to July 2013. Reference list and reverse citation searches were also conducted. Search terms included depression, primary care, general practitioner, chronic disease and comorbidity. Study eligibility required inclusion of relevant quality indicators and data contrasting participants with higher and lower chronic physical comorbidity burden. Study selection and quality appraisal were carried out independently by two review authors. A narrative synthesis of results was performed. RESULTS Our search yielded 5817 unique citations and 46 studies met inclusion criteria. Studies provided data on quality of pharmacotherapy (n=28), psychotherapy (n=4), combined measures of treatment quality (n=14), and follow-up care (n=9). Across studies, evidence that higher chronic physical comorbidity burden was associated with lower depression treatment or follow-up care quality was reported in 13 studies whereas evidence for the opposite relationship was reported in 15 studies. Four studies reported mixed results and 14 studies observed no relationships between comorbidity burden and depression treatment or follow-up care quality. CONCLUSION Review findings suggest that chronic physical comorbidity does not consistently lead to lower quality of depression treatment or follow-up care in primary care.

Involving members of vulnerable populations in the development of patient decision aids: a mixed methods sequential explanatory study

BackgroundPatient decision aids aim to present evidence relevant to a health decision in understandable ways to support patients through the process of making evidence-informed, values-congruent health decisions. It is recommended that, when developing these tools, teams involve people who may ultimately use them. However, there is little empirical evidence about how best to undertake this involvement, particularly for specific populations of users such as vulnerable populations.MethodsTo describe and compare the development practices of research teams that did and did not specifically involve members of vulnerable populations in the development of patient decision aids, we conducted a secondary analysis of data from a systematic review about the development processes of patient decision aids. Then, to further explain our quantitative results, we conducted semi-structured telephone interviews with 10 teams: 6 that had specifically involved members of vulnerable populations and 4 that had not. Two independent analysts thematically coded transcribed interviews.ResultsOut of a total of 187 decision aid development projects, 30 (16%) specifically involved members of vulnerable populations. The specific involvement of members of vulnerable populations in the development process was associated with conducting informal needs assessment activities (73% vs. 40%, OR 2.96, 95% CI 1.18–7.99, P = .02) and recruiting participants through community-based organizations (40% vs. 11%, OR 3.48, 95% CI 1.23–9.83, P = .02). In interviews, all developers highlighted the importance, value and challenges of involving potential users. Interviews with developers whose projects had involved members of vulnerable populations suggested that informal needs assessment activities served to center the decision aid around users’ needs, to better avoid stigma, and to ensure that the topic truly matters to the community. Partnering with community-based organizations may facilitate relationships of trust and may also provide a non-threatening and accessible location for research activities.ConclusionsThere are a small number of key differences in the development processes for patient decision aids in which members of vulnerable populations were or were not specifically involved. Some of these practices may require additional time or resources. To address health inequities, researchers, communities and funders may need to increase awareness of these approaches and plan accordingly.

The Evolution of an Interprofessional Shared Decision-Making Research Program: Reflective Case Study of an Emerging Paradigm

Introduction: Healthcare research increasingly focuses on interprofessional collaboration and on shared decision making, but knowledge gaps remain about effective strategies for implementing interprofessional collaboration and shared decision-making together in clinical practice. We used Kuhn’s theory of scientific revolutions to reflect on how an integrated interprofessional shared decision-making approach was developed and implemented over time. Methods: In 2007, an interdisciplinary team initiated a new research program to promote the implementation of an interprofessional shared decision-making approach in clinical settings. For this reflective case study, two new team members analyzed the team’s four projects, six research publications, one unpublished and two published protocols and organized them into recognizable phases according to Kuhn’s theory. Results: The merging of two young disciplines led to challenges characteristic of emerging paradigms. Implementation of interprofessional shared-decision making was hindered by a lack of conceptual clarity, a dearth of theories and models, little methodological guidance, and insufficient evaluation instruments. The team developed a new model, identified new tools, and engaged knowledge users in a theory-based approach to implementation. However, several unresolved challenges remain. Discussion: This reflective case study sheds light on the evolution of interdisciplinary team science. It offers new approaches to implementing emerging knowledge in the clinical context.

Predictors of Acquisition of Competitive Employment for People Enrolled in Supported Employment Programs

Abstract This study aims at assessing the relative contribution of employment specialist competencies working in supported employment (SE) programs and client variables in determining the likelihood of obtaining competitive employment. A total of 489 persons with a severe mental illness and 97 employment specialists working in 24 SE programs across three Canadian provinces were included in the study. Overall, 43% of the sample obtained competitive work. Both client variables and employment specialist competencies, while controlling for the quality of SE programs implementation, predicted job acquisition. Multilevel analyses further indicated that younger client age, shorter duration of unemployment, and client use of job search strategies, as well as the working alliance perceived by the employment specialist, were the strongest predictors of competitive employment for people with severe mental illness, with 51% of variance explained. For people with severe mental illness seeking employment, active job search behaviors, relational abilities, and employment specialist competencies are central contributors to acquisition of competitive employment.

Development of a decision guide to support the elderly in decision making about location of care: an iterative, user-centered design

Plain English summaryFor the elderly to get the care and services they need, they may need to make the difficult decision about staying in their home or moving to another home. Many other people may be involved in their care too (friends, family and healthcare providers), and can support them in making the decision. We asked informal caregivers of elderly people to help us develop a decision guide to support them and their loved ones in making this decision. This guide will be used by health providers in home care who are trained to help people make decisions. The guide is in French and English. To design and test this decision guide we involved elderly people, their caregivers and health administrators. We first asked them what they needed for making the decision, and then designed a first version of the guide. Then we asked them to look at it and give feedback, which was used to make the final version. We then used scientific criteria to check its content and the language used. The final decision guide was acceptable to the caregivers, their elderly loved ones, and the health administrators. The guide is currently being evaluated in a large research project with home care teams in the province of Quebec.AbstractBackground As they grow older, many elderly people are faced with the difficult and preference-sensitive decision about staying in their home or moving to a residence better adapted to their evolving care needs. We aimed to develop an English and French decision aid (DA) for elderly people facing this decision, and to involve end-users in all phases of the development process. Methods A three-cycle design with involvement of end-users in Quebec. End-users were elderly people (n = 4) caregivers of the elderly (n = 5), health administrators involved in home-care service delivery or policy (n = 6) and an interprofessional research team (n = 19). Cycle 1: Decisional needs assessment and development of the first prototype based on existing tools and input from end-users; overview of reviews examining the impact of location of care on elderly people’s health outcomes. Cycle 2: Usability testing with end-users, adaptation of prototype. Cycle 3: Refinement of the prototype with a linguist, graphic designer and end-users. The final prototype underwent readability testing and an International Patient Decision Aids (IPDAS) criteria compatibility assessment to verify minimal requirements for decision aids and was tested for usability by the elderly. ResultsCycle 1: We used the Ottawa Personal Decision Guide to design a first prototype. As the overview of reviews did not find definitive evidence regarding optimal locations of care for elderly people, we were not able to add evidence-based advantages and disadvantages to the guide. Cycle 2: Overall, the caregivers and health administrators who evaluated the prototype (n = 10) were positive. In response to their suggestions, we deleted some elements (overview of pros, cons, and consequences of the options) that were necessary to qualify the tool as a DA and renamed it a “decision guide”. Cycle 3: We developed French and English versions of the guide, readable at a primary school level. The elderly judged the guide as acceptable. Conclusion We developed a decision guide to support elderly people and their caregivers in decision making about location of care. This paper is one of few to report on a fully collaborative approach to decision guide development that involves end-users at every stage (caregivers and health administrators early on, the frail elderly in the final stages). The guide is currently being evaluated in a cluster randomized trial. Trial registration: NCT02244359.