Evidence map›Paper›PMID 26116444›Full record

Trial reportTrials2015

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.

Catherine H Yu, Noah M Ivers, Dawn Stacey, Jeremy Rezmovitz, Deanna Telner, Kevin Thorpe, Susan Hall, Marc Settino, David M Kaplan, Michael Coons and 3 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02379078 (Impact of an Interprofessional Shared Decision-making and Goal-setting Decision Aid for Patients With Diabetes - A Pilot Cluster Randomized Controlled Trial), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02379078 nacompletednot on this mapstarted 2016, after this paper: background citation

Impact of an Interprofessional Shared Decision-making and Goal-setting Decision Aid for Patients With Diabetes - A Pilot Cluster Randomized Controlled Trial

TypeinterventionalSponsorUnity Health TorontoRan2016 to 2019Enrolled225ConditionsDiabetes MellitusArmsShared decision-making aid, Generic hard copy diabetes resources, Generic online diabetes resources
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2017
    Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. The Challenges and Opportunities for Shared Decision Making Highlighted by COVID-19.The journal of allergy and clinical immunology. In practice · 2020
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Catherine H YuLi Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. yuca@smh.ca.
Noah M IversDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. noah.ivers@utoronto.ca.
Dawn StaceySchool of Nursing, University of Ottawa, Ottawa, ON, Canada. dstacey@uottawa.ca.
Jeremy RezmovitzDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. jeremy.rezmovitz@sunnybrook.ca.
Deanna TelnerDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. deanna.telner@utoronto.ca.
Kevin ThorpeDalla Lana School of Public Health, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. kevin.thorpe@utoronto.ca.
Susan HallLi Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. halls@smh.ca.
Marc SettinoLi Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. settinom@smh.ca.
David M KaplanDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. david@davidkaplanmd.com.
Michael CoonsDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. michael.coons@utoronto.ca.
Sumeet SodhiDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. sumeet.sodhi@uhn.ca.
Joanna SaleMobility Program Clinical Research Unit, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. salej@smh.ca.
Sharon E StrausLi Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. sharon.straus@utoronto.ca.
University of Toronto · CASt. Michael's Hospital · CAUniversity of Ottawa · CA

Funding

Canadian Institutes of Health Research KAL290086
6 · The paper itself

Abstract

backgroundCompeting 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. METHODS/

designA 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. DISCUSSION: 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.

trial registrationClinicaltrials.gov Identifier: NCT02379078. Date of Registration: 11 February 2015.

Indexed as

Conflict, PsychologicalCooperative BehaviorDecision MakingDecision Support TechniquesInterdisciplinary CommunicationPatient Care TeamAttitude of Health PersonnelChronic DiseaseClinical ProtocolsComorbidityDiabetes MellitusEvidence-Based MedicineFeasibility StudiesGuideline AdherenceHealth Knowledge, Attitudes, PracticeHealth Status

Identifiers

PMID26116444
PMCPMC4486130
OpenAlexW2101378704

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.