Evidence map›Paper›PMID 26762150›Full record

Trial reportBMC health services research2016

Effect of a patient decision aid (PDA) for type 2 diabetes on knowledge, decisional self-efficacy, and decisional conflict.

Robert A Bailey, Michael Pfeifer, Alicia C Shillington, Qing Harshaw, Martha M Funnell, Jeffrey VanWingen, Nanada Col

2 registry-linked trialsOpen access · goldAbstract readMulticenter StudyRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 39 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 6 pooled it
12.8field-weighted citation impact, top 1% 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.

NCT02110979 nacompletednot on this map

Validation of a Patient Decision Aid for Type 2 Diabetes

TypeinterventionalSponsorEPI-QRan2014 to 2015Enrolled200ConditionsDiabetes Mellitus, Type 2ArmsUse of a PDA to assist shared decision making
NCT05666544 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Developing and Effectiveness Evaluation of Web-based Situation Renal Replacement Therapies Patient Decision Aids

TypeinterventionalSponsorChina Medical University HospitalRan2022 to 2024Enrolled70ConditionsEnd-stage Renal Disease, Renal Replacement Therapy, Decision Aid, Decision-makingArmsWeb-based patient decision aid, Written health education leaflets
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 6 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  4. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
  5. Canadian Stroke Best Practice Recommendations, seventh edition: acetylsalicylic acid for prevention of vascular events.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2020
    Guideline
  6. Pooled it
  7. Evaluation of a Novel Hospice-Specific Patient Decision Aid.The American journal of hospice & palliative care · 2024
    Trial
  8. Trial
  9. Trial
  10. Trial
  11. Article
  12. Article
  13. Breast cancer survivors' perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Shared decision making in sarcopenia treatment.Frontiers in public health · 2023
    Review
  19. Review
  20. 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

7 authors at 4 institutions in 1 country.

Robert A BaileyJanssen Scientific Affairs, LLC, Raritan, NJ, USA. RBailey5@its.jnj.com.
Michael PfeiferJanssen Scientific Affairs, LLC, Raritan, NJ, USA. mpfeifer@its.jnj.com.
Alicia C ShillingtonEPI-Q Inc, 1315 W 22nd Street, Suite 410, Oakbrook, IL, 60523, USA. alicia.shillington@epi-q.com.
Qing HarshawEPI-Q Inc, 1315 W 22nd Street, Suite 410, Oakbrook, IL, 60523, USA. qing.harshaw@epi-q.com.
Martha M FunnellDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA. mfunnell@med.umich.edu.
Jeffrey VanWingenFamily Medicine Specialists, Grand Rapids, MI, USA. jvwmd@yahoo.com.
Nanada ColFive Islands Consulting, Georgetown, ME, USA. nananda@sdmresources.info.
Epi-Q (United States) · USJanssen Scientific Affairs (United States)Retina Specialists of Michigan · USUniversity of Michigan–Ann Arbor · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundPatients with type 2 diabetes (T2DM) often have poor glycemic control on first-line pharmacologic therapy and require treatment intensification. Intensification decisions can be difficult because of many available options and their many benefits and risks. The American Diabetes Association recommends patient-centered, evidence-based tools supporting shared decision-making between patients and clinicians. We developed a patient decision aid (PDA) targeting decisions about treatment intensification for T2DM. Our objective was to determine the effectiveness of this PDA for patients with T2DM on metformin who require treatment intensification.

methodsThis study was a pragmatic randomized controlled trial conducted in 27 US primary care and endocrinology clinics. Subjects were English-speaking adults with T2DM receiving metformin with persistent hyperglycemia who were recommended to consider medication intensification. Subjects were randomized to receive either the PDA or usual care (UC). Main outcome measures were change in knowledge, decisional self-efficacy, and decisional conflict.

resultsOf 225 subjects enrolled, 114 were randomized to the PDA and 111 to UC. Mean [SD] age was 52 [1] years, time since T2DM diagnosis was 6 [+/-6] years, 45.3% were male, and most (55.5%) were non-Caucasian. Compared to UC, PDA users had significantly larger knowledge gains (35.0% [22.3] vs 9.9% [22.2]; P < 0.0001) and larger improvements in self-efficacy (3.7 [16.7] vs-3.9 [19.2]; P < 0.0001) and decisional conflict (-22.2 [20.6] vs-7.5 [16.6]; P < 0.0001).

conclusionsThe PDA resulted in substantial and significant improvements in knowledge, decisional conflict and decisional self-efficacy. Decisional conflict scores after PDA use were within the range that correlates with effective decision-making. This PDA has the potential to facilitate shared-decision-making for patients with T2DM.

trial registrationNCT02110979.

Indexed as

Conflict, PsychologicalDecision MakingDecision Support TechniquesPrimary Health CareSelf EfficacyAdultAgedDiabetes Mellitus, Type 2FemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedOutcome Assessment, Health CarePatient Education as TopicPatient Participation

Identifiers

PMID26762150
PMCPMC4712511
OpenAlexW2238896189

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.