↓ Skip to main content

Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict – study protocol for a randomized controlled trial

Overview of attention for article published in Trials, June 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
289 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict – study protocol for a randomized controlled trial
Published in
Trials, June 2015
DOI 10.1186/s13063-015-0797-8
Pubmed ID
Authors

Catherine H. Yu, Noah M. Ivers, Dawn Stacey, Jeremy Rezmovitz, Deanna Telner, Kevin Thorpe, Susan Hall, Marc Settino, David M. Kaplan, Michael Coons, Sumeet Sodhi, Joanna Sale, Sharon E. Straus

Abstract

Competing health concerns present real obstacles to people living with diabetes and other chronic diseases as well as to their primary care providers. Guideline implementation interventions rarely acknowledge this, leaving both patients and providers feeling overwhelmed by the volume of recommended actions. Interprofessional (IP) shared decision-making (SDM) with the use of decision aids may help to set treatment priorities. We developed an evidence-based SDM intervention for patients with diabetes and other conditions that was framed by the IP-SDM model and followed a user-centered approach. Our objective in the present study is to pilot an IP-SDM and goal-setting toolkit following the Knowledge-to-Action Framework to assess (1) intervention fidelity and the feasibility of conducting a larger trial and (2) impact on decisional conflict, diabetes distress, health-related quality of life and patient assessment of chronic illness care. A two-step, parallel-group, clustered randomized controlled trial (RCT) will be conducted, with the primary goal being to assess intervention fidelity and the feasibility of conducting a larger RCT. The first step is a provider-directed implementation only; the second (after a 6-month delay) involves both provider- and patient-directed implementation. Half of the clusters will be assigned to receive the IP-SDM toolkit, and the other will be assigned to be mailed a diabetes guidelines summary. Individual interviews with patients, their family members and health care providers will be conducted upon trial completion to explore toolkit use. A secondary purpose of this trial is to gather estimates of the toolkit's impact on decisional conflict. Secondary outcomes include diabetes distress, quality of life and chronic illness care, which will be assessed on the basis of patient-completed questionnaires of validated scales at baseline and at 6 and 12 months. Multilevel hierarchical regression models will be used to account for the clustered nature of the data. An individualized approach to patients with multiple chronic conditions using SDM and goal setting is a desirable strategy for achieving guideline-concordant treatment in a patient-centered fashion. Our pilot trial will provide insights regarding strategies for the routine implementation of such interventions in clinical practice, and it will offer an assessment of the impact of this approach. Clinicaltrials.gov Identifier: NCT02379078 . Date of Registration: 11 February 2015.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 284 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 16%
Student > Ph. D. Student 37 13%
Researcher 27 9%
Student > Bachelor 20 7%
Student > Postgraduate 15 5%
Other 72 25%
Unknown 73 25%
Readers by discipline Count As %
Medicine and Dentistry 68 24%
Nursing and Health Professions 50 17%
Psychology 23 8%
Social Sciences 14 5%
Unspecified 8 3%
Other 41 14%
Unknown 85 29%