2020
DOI: 10.2196/16984
|View full text |Cite
|
Sign up to set email alerts
|

Impact of MyDiabetesPlan, a Web-Based Patient Decision Aid on Decisional Conflict, Diabetes Distress, Quality of Life, and Chronic Illness Care in Patients With Diabetes: Cluster Randomized Controlled Trial

Abstract: Background Person-centered care is critical for delivering high-quality diabetes care. Shared decision making (SDM) is central to person-centered care, and in diabetes care, it can improve decision quality, patient knowledge, and patient risk perception. Delivery of person-centered care can be facilitated with the use of patient decision aids (PtDAs). We developed MyDiabetesPlan, an interactive SDM and goal-setting PtDA designed to help individualize care priorities and support an interprofessional… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

5
68
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 20 publications
(73 citation statements)
references
References 49 publications
5
68
0
Order By: Relevance
“…We assessed the following predetermined outcomes [ 19 ]: recruitment period length, recruitment response rate, participant retention rate, questionnaire completion rate (interim and final), and resource use (personnel and funds; divided into resources required for delivery of the intervention and resources required for evaluation). The estimated sample size was 112 individuals for the primary outcome of decisional conflict [ 10 ]. We deemed the study to be feasible if we were able to complete patient recruitment within a 12-month period and attained a questionnaire response rate of 75% or higher.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We assessed the following predetermined outcomes [ 19 ]: recruitment period length, recruitment response rate, participant retention rate, questionnaire completion rate (interim and final), and resource use (personnel and funds; divided into resources required for delivery of the intervention and resources required for evaluation). The estimated sample size was 112 individuals for the primary outcome of decisional conflict [ 10 ]. We deemed the study to be feasible if we were able to complete patient recruitment within a 12-month period and attained a questionnaire response rate of 75% or higher.…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, in our prior work, patients identified their lack of assertiveness and knowledge, limited access to their health care team, and the lack of a therapeutic relationship as barriers to SDM [ 1 ]. Clinicians struggled with decision-making when there was a disconnect between the potential goals they selected for the patient and the goals the patient set for themselves [ 10 ]. The use of an interprofessional (IP) team approach may facilitate SDM.…”
Section: Introductionmentioning
confidence: 99%
“…Since the 2017 review of internet-based patient decision aids [19], several studies have been published that may inform the design of web-based tools [65][66][67][68][69][70][71][72]. Overall, these studies continue to report positive ratings of acceptability, usability, and satisfaction as well as improved knowledge, decisional conflict, decision self-efficacy, preparation for decision making, and satisfaction.…”
Section: Comparison With Previous Workmentioning
confidence: 99%
“…Despite this, successful integration of PtDAs into clinical care continues to be elusive, with rates as low as 9.3% [ 7 ]. For example, in our previous work, we conducted a cluster randomized controlled trial of MyDiabetesPlan , an web-based PtDA to facilitate goal-setting in patients with diabetes [ 8 ]. While single-decision PtDAs exist in diabetes care (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…This suboptimal use occurred despite the research team undertaking an iterative user-centred design and evidence-based approach within a Knowledge-to-Action framework [ 11 ]. Throughout the design process, we engaged users (patients, clinicians), and conducted literature searches to identify barriers and facilitators to use, then refined MyDiabetesPlan based on this input [ 8 , 10 ]. However, this approach was arguably “linear” and unidirectional, and did not fully consider the full context of the clinical encounter and how MyDiabetesPlan’s fit into the health care system and patients’ lives, nor the multi-directional interactions and relationship between these factors.…”
Section: Introductionmentioning
confidence: 99%