Evidence map›Paper›PMID 40964410›Full record

ArticleJournal of Appalachian health2025

Evidence-Based Best Practices for Diabetes Education and Self-Care in Appalachia: A Literature Review.

Angela J Occidental, Inga M Zadvinskis, Jacqueline Hoying

Abstract read
In one paragraph

Article in Journal of Appalachian health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Angela J OccidentalDuncan Medical Family Practice.
Inga M ZadvinskisOhioHealth Riverside Methodist Hospital.
Jacqueline HoyingThe Ohio State University College of Nursing.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Appalachian Region has a higher prevalence of type 2 diabetes mellitus (T2DM) and associated adverse health outcomes. Although numerous papers report best practices for diabetes care and education, a clinician-friendly, synthesized summary of best practices tailored to Appalachian cultural preferences is lacking. Purpose: This paper uses the Melnyk & Fineout-Overholt evidence-based framework to identify the best practices for T2DM care and education for Appalachian residents. Methods: A comprehensive literature search using the databases CINAHL, Academic Search Complete, and PubMed was guided by a PICOT question. Quality appraisals were completed for fifty-two articles; thirty papers were selected to synthesize best practices, delivery methods, lifestyle modifications, and outcomes. Results: Best practices for T2DM education are recognizing how culture and the social determinants of health (SDOH) influence care, using a multidisciplinary team, and screening for diabetes knowledge and distress. Beneficial education topics are nutrition, weight management, medication management, stress management, health maintenance screenings, and lifestyle modification including exercise. Access to care may be increased by using digital or online formats. Implications: T2DM is a complex chronic health issue; strategies are needed to address health disparities and SDOH in Appalachia. Future research is needed to determine the best practices for the duration and frequency of diabetes education and to determine ways to engage residents in diabetes care. Partnerships with local organizations may create a support network for diabetes management. Decision-makers can use these best practices to pursue interventions that engage the Appalachian community in better diabetes care.

Indexed as

Appalachian regiondiabetespatient education

Identifiers

PMID40964410
PMCPMC12440311

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Registered trials

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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.