Evidence map›Paper›PMID 27354769›Full record

ArticlePatient preference and adherence2016

Development of a new diabetes medication self-efficacy scale and its association with both reported problems in using diabetes medications and self-reported adherence.

Betsy Sleath, Delesha M Carpenter, Susan J Blalock, Scott A Davis, Ryan P Hickson, Charles Lee, Stefanie P Ferreri, Jennifer E Scott, Lisa B Rodebaugh, Doyle M Cummings

Abstract read
In one paragraph

Article in Patient preference and adherence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Translation and Validation of the Medication Understanding and Use Self-Efficacy Scale Among Patients With Type 2 Diabetes in Taiwan.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

10 authors.

Betsy SleathDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, USA; Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Delesha M CarpenterDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Susan J BlalockDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Scott A DavisDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Ryan P HicksonDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Charles LeePolyglot Systems, Inc., Morrisville, USA.
Stefanie P FerreriDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, Chapel Hill, USA.
Jennifer E ScottConsortium for Implementation Science, Department of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Lisa B RodebaughDepartment of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, USA.
Doyle M CummingsDepartment of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, USA; Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC, USA.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
UNC Center for Diabetes Translation Research to Reduce Health DisparitiesP30DK093002 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIS, RICHARD M, PIGNONE, MICHAEL P · 2011 to 2015
$3.0M
NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR002489NIDDK NIH HHS P30 DK093002
6 · The paper itself

Abstract

backgroundAlthough there are several different general diabetes self-efficacy scales, there is a need to develop a self-efficacy scale that providers can use to assess patient's self-efficacy regarding medication use. The purpose of this study was to: 1) develop a new diabetes medication self-efficacy scale and 2) examine how diabetes medication self-efficacy is associated with patient-reported problems in using diabetes medications and self-reported adherence. PATIENTS AND

methodsAdult English-speaking patients with type 2 diabetes were recruited from a family medicine clinic and a pharmacy in Eastern North Carolina, USA. The patients were eligible if they reported being nonadherent to their diabetes medicines on a visual analog scale. Multivariable regression was used to examine the relationship between self-efficacy and the number of reported diabetes medication problems and adherence.

resultsThe diabetes medication self-efficacy scale had strong reliability (Cronbach's alpha =0.86). Among a sample (N=51) of mostly African-American female patients, diabetes medication problems were common (6.1±3.1) and a greater number of diabetes medications were associated with lower medication adherence (odds ratio: 0.35; 95% confidence interval: 0.13, 0.89). Higher medication self-efficacy was significantly related to medication adherence (odds ratio: 1.17; 95% confidence interval: 1.05, 1.30) and inversely related to the number of self-reported medication problems (β=-0.13; P=0.006).

conclusionHigher diabetes medication self-efficacy was associated with fewer patient-reported medication problems and better medication adherence. Assessing medication-specific self-efficacy may help to identify medication-related problems that providers can help the patients address, potentially improving adherence and patient outcomes.

Indexed as

adherencediabetesliteracyself-efficacy

Identifiers

PMID27354769
PMCPMC4908948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.