scholarly journals Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care - systematic decision aid development and study protocol

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Catherine H Yu ◽  
Dawn Stacey ◽  
Joanna Sale ◽  
Susan Hall ◽  
David M Kaplan ◽  
...  
Author(s):  
Catherine H. Yu ◽  
◽  
Calvin Ke ◽  
Aleksandra Jovicic ◽  
Susan Hall ◽  
...  

Abstract Background An individualized approach using shared decision-making (SDM) and goal setting is a person-centred strategy that may facilitate prioritization of treatment options. SDM has not been adopted extensively in clinical practice. An interprofessional approach to SDM with tools to facilitate patient participation may overcome barriers to SDM use. The aim was to explore decision-making experiences of health professionals and people with diabetes (PwD), then develop an intervention to facilitate interprofessional shared decision-making (IP-SDM) and goal-setting. Methods This was a multi-phased study. 1) Feasibility: Using a descriptive qualitative study, individual interviews with primary care physicians, nurses, dietitians, pharmacists, and PwD were conducted. The interviews explored their experiences with SDM and priority-setting, including facilitators and barriers, relevance of a decision aid for priority-setting, and integration of SDM and a decision aid into practice. 2) Development: An evidence-based SDM toolkit was developed, consisting of an online decision aid, MyDiabetesPlan, and implementation tools. MyDiabetesPlan was reviewed by content experts for accuracy and comprehensiveness. Usability assessment was done with 3) heuristic evaluation and 4) user testing, followed by 5) refinement. Results Seven PwD and 10 clinicians participated in the interviews. From interviews with PwD, we identified that: (1) approaches to decision-making were diverse and dynamic; (2) a trusting relationship with the clinician and dialog were critical precursors to SDM; and, (3) goal-setting was a dynamic process. From clinicians, we found: (1) complementary (holistic and disease specific) approaches to the complex patient were used; (2) patient-provider agendas for goal-setting were often conflicting; (3) a flexible approach to decision-making was needed; and, (4) conflict could be resolved through SDM. Following usability assessment, we redesigned MyDiabetesPlan to consist of data collection and recommendation stages. Findings were used to finalize a multi-component toolkit and implementation strategy, consisting of MyDiabetesPlan, instructional card and videos, and orientation meetings with participating patients and clinicians. Conclusions A decision aid can provide information, facilitate clinician-patient dialog and strengthen the therapeutic relationship. Implementation of the decision aid can fit into a model of team care that respects and exemplifies professional identity, and can facilitate intra-team communication. Trial registration Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: 11 February 2015.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Catherine H. Yu ◽  
Farid Medleg ◽  
Dorothy Choi ◽  
Catherine M. Spagnuolo ◽  
Lakmini Pinnaduwage ◽  
...  

Abstract 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.


2018 ◽  
Author(s):  
Molly Beinfeld ◽  
Suzanne Brodney ◽  
Michael Barry ◽  
Erika Poole ◽  
Adam Kunin

BACKGROUND A rural community-based Cardiology practice implemented shared decision making supported by an evidence-based decision aid booklet to improve the quality of anticoagulant therapy decisions in patients with atrial fibrillation. OBJECTIVE To develop a practical workflow for implementation of an anticoagulant therapy decision aid and to assess the impact on patients’ knowledge and process for anticoagulant medication decision making. METHODS The organization surveyed all patients with atrial fibrillation being seen at Copley Hospital to establish a baseline level of knowledge, certainty about the decision and process for decision making. The intervention surveys included the same knowledge, certainty, process and demographic questions as the baseline surveys, but also included questions asking for feedback on the decision aid booklet. Stroke risk scores (CHA2DS2-VASc score) were calculated by Copley staff for both groups using EMR data. RESULTS We received 46 completed surveys in the baseline group (64% response rate) and 50 surveys in the intervention group (72% response rate). The intervention group had higher knowledge score than the baseline group (3.6 out of 4 correct answers vs 3.1, p=0.036) and Decision Process Score (2.89 out of 4 vs 2.09, p=0.0023) but similar scores on the SURE scale (3.12 out of 4 vs 3.17, p=0.79). Knowledge and Process score differences were sustained even after adjusting for co-variates in stepwise linear regression analyses. Patients with high school or lower education appeared to benefit the most from shared decision making, as demonstrated by their knowledge scores. CONCLUSIONS It is feasible and practical to implement shared decision making supported by decision aids in a community-based Cardiology practice. Shared decision making can improve knowledge and process for decision making for patients with atrial fibrillation. CLINICALTRIAL None


2018 ◽  
Author(s):  
Meliss Basile ◽  
Johanna Andrews ◽  
Sonia Jacome ◽  
Meng Zhang ◽  
Andrzej Kozikowski ◽  
...  

Author(s):  
Kristin L. Rising ◽  
Alexzandra T. Gentsch ◽  
Geoffrey Mills ◽  
Marianna LaNoue ◽  
Amanda M.B. Doty ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document