Evidence mapPaperPMID 41498880Full record

ReviewAdvances in therapy2026

Community-Based Models for Type 2 Diabetes Care: A Review of Effectiveness, Implementation, and Health System Integration.

Vandana Esht, Madhur Verma, Shazia Malik, Marim Ali M Slimani, Gunjeet Kaur, Jaya Prasad Tripathy, Gursimer Jeet, Sanjay Kalra

Abstract readReview
In one paragraph

Review in Advances in therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Vandana EshtPhysical Therapy Department, College of Nursing and Health Sciences, Jazan University, Jizan, Saudi Arabia.
Madhur VermaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, 151001, India.
Shazia MalikPhysical Therapy Department, College of Nursing and Health Sciences, Jazan University, Jizan, Saudi Arabia.
Marim Ali M SlimaniPhysical Therapy Department, College of Nursing and Health Sciences, Jazan University, Jizan, Saudi Arabia.
Gunjeet KaurSchool of Health and Social Development, Deakin University, Burwood, Australia.
Jaya Prasad TripathyDivision of Community Medicine, All India Institute of Medical Sciences, Nagpur, India.
Gursimer Jeet, Vancouver, V6M1T5, Canada. dr.gursimerjeet@gmail.com.
Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India. brideknl@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes mellitus (T2DM) presents a major challenge in low- and middle-income countries (LMICs) due to workforce shortages, limited primary-care capacity, and fragmented chronic-care delivery. Community-based diabetes care models have emerged as scalable approaches to strengthen self-management and extend service reach. With this background, we aimed to synthesize global evidence on community-based diabetes care models, classify major intervention typologies, examine their alignment with the diabetes care continuum, and assess their effectiveness and implementation characteristics.

methodsA narrative review was conducted using a structured search of PubMed, Scopus, Web of Science, and Embase for studies published between January 2010 and March 2025. Eligible studies focused on community-based T2DM interventions delivered by community health workers (CHWs), peer educators, or digital-community hybrids. Interventions were categorized and mapped across the diabetes care continuum, and evaluated using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, as well as complementary integration models.

resultsEleven studies were included, in which peer-led models were common in high-income countries, while CHW-led and hybrid models were predominant in LMICs. Interventions demonstrated clinically significant improvements in glycated hemoglobin (HbA1c), BMI, and self-efficacy. Successful models embedded within existing public health systems or culturally rooted community platforms showed higher adoption and long-term maintenance. Digital interventions enhanced reach, but faced challenges with sustained engagement and infrastructure support. The RE-AIM analysis revealed strong effectiveness and reach; however, long-term maintenance and adoption varied based on the level of contextual integration and supervision structures.

conclusionCommunity-based T2DM care models offer scalable, sustainable strategies to improve disease control. Integration into national health platforms, supportive supervision, and digital augmentation enhance implementation success. Challenges persist in follow-up, cost-effectiveness, and equity design; scale-up should prioritize integration, financing, and CHW capacity.

Indexed as

Community Health ServicesDiabetes Mellitus, Type 2Chronic Care ModelCommunity Health WorkersDeveloping CountriesHumansCommunity-based careCommunity health workers (CHWs)Health system integrationImplementation scienceType 2 diabetes

Identifiers

PMID41498880
PMCPMC12999817

What Socratic 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 Socratic graph.