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Background: Decision coaching is non-directive support delivered by a trained healthcare provider to help people prepare to actively participate in making healthcare decisions. This study aimed to understand how and under what circumstances decision coaching works for people making healthcare decisions.Methods: We followed the realist review methodology for this study. This study was built on a Cochrane systematic review of the effectiveness of decision coaching interventions for people facing healthcare decisions. It involved six iterative steps: (1) develop the initial program theory; (2) search for evidence; (3) select, appraise, and prioritize studies; (4) extract and organize data; (5) synthesize evidence; and (6) consult stakeholders and draw conclusions.Results: We developed an initial program theory based on decision coaching theories and stakeholder feedback. Of the 2594 citations screened, we prioritized 27 papers for synthesis based on their relevance rating. To refine the program theory, we identified 12 context-mechanism-outcome (CMO) configurations. Essential mechanisms for decision coaching to be initiated include decision coaches', patients', and clinicians' commitments to patients' involvement in decision making and decision coaches' knowledge and skills (four CMOs). CMOs during decision coaching are related to the patient (i.e., willing to confide, perceiving their decisional needs are recognized, acquiring knowledge, feeling supported), and the patient-decision coach interaction (i.e., exchanging information, sharing a common understanding of patient's values) (five CMOs). After decision coaching, the patient's progress in making or implementing a values-based preferred decision can be facilitated by the decision coach's advocacy for the patient, and the patient's deliberation upon options (two CMOs). Leadership support enables decision coaches to have access to essential resources to fulfill their role (one CMOs).Discussion: In the refined program theory, decision coaching works when there is strong leadership support and commitment from decision coaches, clinicians, and patients. Decision coaches need to be capable in coaching, encourage patients' participation, build a trusting relationship with patients, and act as a liaison between patients and clinicians to facilitate patients' progress in making or implementing an informed values-based preferred option. More empirical studies, especially qualitative and process evaluation studies, are needed to further refine the program theory. [ABSTRACT FROM AUTHOR]

Background: MyDiabetesPlan is a web-based, interactive patient decision aid that facilitates patient-centred, diabetes-specific, goal-setting and shared decision-making (SDM) with interprofessional health care teams.Objective: Assess the feasibility of (1) conducting a cluster randomized controlled trial (RCT) and (2) integrating MyDiabetesPlan into interprofessional primary care clinics.Methods: We conducted a cluster RCT in 10 interprofessional primary care clinics with patients living with diabetes and at least two other comorbidities; half of the clinics were assigned to MyDiabetesPlan and half were assigned to usual care. To assess recruitment, retention, and resource use, we used RCT conduct logs and financial account summaries. To assess intervention fidelity, we used RCT conduct logs and website usage logs. To identify barriers and facilitators to integration of MyDiabetesPlan into clinical care across the IP team, we used audiotapes of clinical encounters in the intervention groups.Results: One thousand five hundred and ninety-seven potentially eligible patients were identified through searches of electronic medical records, of which 1113 patients met the eligibility criteria upon detailed chart review. A total of 425 patients were randomly selected; of these, 213 were able to participate and were allocated (intervention: n = 102; control: n = 111), for a recruitment rate of 50.1%. One hundred and fifty-one patients completed the study, for a retention rate of 70.9%. A total of 5745 personnel-hours and $6104 CAD were attributed to recruitment and retention activities. A total of 179 appointments occurred (out of 204 expected appointments-two per participant over the 12-month study period; 87.7%). Forty (36%), 25 (23%), and 32 (29%) patients completed MyDiabetesPlan at least twice, once, and zero times, respectively. Mean time for completion of MyDiabetesPlan by the clinician and the patient during initial appointments was 37 min. From the clinical encounter transcripts, we identified diverse strategies used by clinicians and patients to integrate MyDiabetesPlan into the appointment, characterized by rapport building and individualization. Barriers to use included clinician-related, patient-related, and technical factors.Conclusion: An interprofessional approach to SDM using a decision aid was feasible. Lower than expected numbers of diabetes-specific appointments and use of MyDiabetesPlan were observed. Addressing facilitators and barriers identified in this study will promote more seamless integration into clinical care. Trial registration Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: February 11, 2015. Protocol version: Version 1; February 26, 2015. [ABSTRACT FROM AUTHOR]

Background: Achilles tendon ruptures are common injuries in an otherwise healthy, active population. Several treatment options exist, with both surgical and non-surgical options. Each treatment option has a unique set of risks and harms, which may present patients with decisional conflict. The aim of the proposed study is to develop, alpha test and field test a patient decision aid for patients presenting with acute Achilles tendon ruptures.Methods: This is a three-stage study protocol. First, we will assemble a multi-disciplinary steering group including patients, clinicians, educators, and researchers to develop the patient decision aid prototype using the Ottawa Decision Support Framework. Second, we will perform a mixed-methods alpha test of the decision aid prototype with patients and clinicians experienced in acute Achilles tendon ruptures. Outcomes measured will include acceptability and usability of the patient decision aid measured using validated outcome scales and semi-structured interviews. A minimum of three rounds of feedback will be obtained. Results will be analyzed using descriptive statistics, reviewed by the steering group, to guide revisions to decision aid prototype at each round. The third stage will be field testing the revised decision aid prototype in usual clinical care. A pre-/post-study will be performed with patients with acute Achilles tendon ruptures. Patients will be recruited from the emergency department and complete the pre-consultation decision aid prior to a one-week follow up with their surgeon. The primary outcome of field testing will be feasibility of implementing the decision aid in the clinical setting and will be measured with recruitment and completion metrics. Secondary outcomes include acceptability of the decision aid, knowledge, preparedness for decision making, and decisional conflict, measured using validated outcome measures. Statistical analysis will be performed using descriptive analysis for primary outcomes and a student t-test and Wilcoxon Rank-Sum test for secondary outcomes.Discussion: This comprehensive study protocol outlines the development, alpha testing, and field testing of a patient decision aid for patients with acute Achilles tendon rupture. Systematic and transparent development and testing of patient decision aids is critical to improve decision aid quality. Trial registration Not Applicable. [ABSTRACT FROM AUTHOR]

To evaluate a newly developed blended learning programme for general practitioners (GPs) and nurses in supporting shared decision making (SDM) about palliative cancer treatment in a simulated setting. In a pre-posttest study, healthcare professionals (HCPs) participated in the blended learning (i.e. e-learning and (online) training session). HCPs filled out surveys (T0 (baseline), T1 (after e-learning) and T2 (after full blended learning)) and engaged in simulated consultations at T0 and T2. The primary outcome was observed SDM support (Triple-S; DSAT-10 for validation). Secondary outcomes included satisfaction, knowledge about and attitude towards SDM support. Repeated measures General Linear Models were conducted. 33 HCPs (17 GPs and 16 nurses) participated. SDM support significantly improved after training (Triple-S; medium effect). Observers' overall rating of SDM support (medium effect) as well as HCPs' knowledge (large effect) and beliefs about their capabilities (medium effect) improved after training. There was no difference in decision support skills (DSAT-10), HCPs' other clinical behavioural intentions and satisfaction. HCPs evaluated the training positively. Blended learning for HCPs on supporting SDM in palliative cancer care improved their skills, knowledge and confidence in simulated consultations. These first findings are promising for evaluating interprofessional SDM in clinical practice. • An interprofessional approach to shared decision making (SDM) is beneficial in palliative cancer care. • Nurses and GPs may benefit from training on their contribution to SDM about cancer treatment. • An (online) blended learning about supporting SDM in palliative cancer care for GPs and nurses increases their skills in supporting SDM, their knowledge and their confidence. • These findings may be a good starting point for further implementation of interprofessional SDM. [ABSTRACT FROM AUTHOR]