Evidence map›Paper›PMID 42049501›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2026

Increasing Diabetes Self-Management Education and Support Referrals with an Electronic Best Practice Advisory.

Laura A Young, Jacqueline R Halladay, Ping Chen, Kathleen Mottus, Karen Goeke-Austin, Jennifer Rees, Maihan B Vu, Erica L Richman, Jordan Sharpe, Aaron Thomas and 1 more

Abstract read
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Article in Journal of the American Board of Family Medicine : JABFM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Laura A YoungDivision of Endocrinology, Department of Medicine, School of Medicine University of North Carolina at Chapel Hill.
Jacqueline R HalladayCecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill.
Ping ChenFrank Porter Graham Child Development Institute University of North Carolina at Chapel Hill.
Kathleen MottusCecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill.
Karen Goeke-AustinUNC Health.
Jennifer ReesNC TraCS Institute University of North Carolina at Chapel Hill.
Maihan B VuCenter for Health Promotion and Disease Prevention University of North Carolina at Chapel Hill.
Erica L RichmanCecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill.
Jordan SharpeCecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill.
Aaron ThomasNC TraCS Institute University of North Carolina at Chapel Hill.
Katrina E DonahueCecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes self-management education and support (DSMES) services are often underutilized, partly due to low referral rates by clinicians. This examines if using a Best Practice Advisory (BPA) integrated into the electronic health record (EHR) during clinic visits increases DSMES referral rates.

methodsWe developed a BPA within the Epic EHR for patients with type 2 diabetes (T2D) eligible for DSMES services. This BPA was implemented in four primary care practices within a university-based health system, while two additional practices served as controls. We analyzed data using multilevel logistic regression with patient data nested within clinicians. We employed binary logit functions and maximum likelihood estimation to assess the odds of DSMES referrals postvisit. Both unadjusted and adjusted models were tested, accounting for clinic and patient variables.

resultsFrom April 1, 2023, to March 31, 2024, 2,526 BPAs were deployed in intervention clinics, resulting in a 12.9% DSMES referral rate. In contrast, control clinics had 1,444 eligible patient visits with a 1.2% referral rate (p<0.001).

conclusionsIntegrating BPA prompts into the EHR significantly enhances DSMES referral rates. This approach effectively identifies eligible patients and simplifies the referral process, addressing some barriers to DSMES utilization.

Indexed as

Diabetes Mellitus, Type 2Electronic Health RecordsPatient Education as TopicReferral and ConsultationSelf-ManagementAgedFemaleHumansMaleMiddle AgedPractice Guidelines as TopicPrimary Health CareBest PracticesElectronic Health RecordFamily MedicineLogistic RegressionPatient EducationPrimary Health CareRandomized Controlled TrialReferral and ConsultationSelf-ManagementType 2 Diabetes Mellitus

Identifiers

PMID42049501
PMCPMC13197142

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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.