Factors associated with shared decision making among primary care physicians: Findings from a multicentre cross-sectional study.

BACKGROUND: Despite growing recognition that shared decision making (SDM) is central for patient-centred primary care, adoption by physicians remains limited in routine practice. OBJECTIVE: To examine the characteristics of physicians, patients and consultations associated with primary care physicians' SDM behaviours during routine care. METHODS: A multicentre cross-sectional survey study was conducted with 114 unique patient-physician dyads recruited from 17 primary care clinics in Quebec and Ontario, Canada. Physicians' SDM behaviours were assessed with the 12-item OPTION scale scored by third observers using audio-recordings of consultations. Independent variables included 21 physician, patient and consultation characteristics. We assessed factors associated with OPTION scores using multivariate linear regression models. RESULTS: On the OPTION scale, where higher scores indicated greater SDM behaviours, physicians earned an overall mean score of 25.7±9.8 of 100. In the final adjusted regression model, higher OPTION scores were associated with physicians' social participation (involvement in one committee ß=5.75, P=.04; involvement in two or more committees ß=7.74, P=.01), patients' status as employed (ß=6.48, P=.02), clinically significant decisional conflict in patients (ß=7.15, P=.002) and a longer duration of consultations (ß=0.23, P=.002). CONCLUSION: Physicians' social participation, patients' employment status and decisional conflict and the duration of consultations were associated with primary care physicians' SDM behaviours in routine care. These factors should be considered when designing strategies to implement SDM and promote more patient-centred care in primary care.

Impact of home care versus alternative locations of care on elder health outcomes: an overview of systematic reviews.

BACKGROUND: Many elders struggle with the decision to remain at home or to move to an alternative location of care. A person's location of care can influence health and wellbeing. Healthcare organizations and policy makers are increasingly challenged to better support elders' dwelling and health care needs. A summary of the evidence that examines home care compared to other care locations can inform decision making. We surveyed and summarized the evidence evaluating the impact of home care versus alternative locations of care on elder health outcomes. METHODS: We conducted an overview of systematic reviews. Data sources included MEDLINE, the Cochrane Library, EMBASE, and CINAHL. Eligible reviews included adults 65+ years, elder home care, alternative care locations, and elder health outcomes. Two independent reviewers screened citations. We extracted data and appraised review quality using the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) checklist. Results were synthesized narratively. RESULTS: The search yielded 2575 citations, of which 19 systematic reviews were eligible. Three hundred and forty studies with 271,660 participants were synthesized across the systematic reviews. The categories of comparisons included: home with support versus independent living at home (n = 11 reviews), home care versus institutional care (n = 3 reviews), and rehabilitation at home versus conventional rehabilitation services (n = 7 reviews). Two reviews had data relevant to two categories. Most reviews favoured home with support to independent living at home. Findings comparing home care to institutional care were mixed. Most reviews found no differences in health outcomes between rehabilitation at home versus conventional rehabilitation services. Systematic review quality was moderate, with a median AMSTAR score of 6 (range 4 - 10 out of 11). CONCLUSIONS: The evidence on the impact of home care compared to alternative care locations on elder health outcomes is heterogeneous. Our findings support positive health impacts of home support interventions for community dwelling elders compared to independent living at home. There is insufficient evidence to determine the impact of alternative care locations on elders' health. Additional research targeting housing and care options for the elderly is needed.

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

PLAIN ENGLISH SUMMARY: For 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. ABSTRACT: Background 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.