Evidence map›Paper›PMID 41818296›Full record

ArticlePLOS global public health2026

Female community health volunteers' knowledge and confidence in providing community-based diabetes self-management support in Nepal: A biphasic mixed method evaluation.

Ada Thapa, Susagya Bhusal, Omkar Jha, Adipti Pantha, Sudim Sharma, Austin Seals, Madhav K C, Archana Shrestha, Bibhav Acharya, Yashashwi Pokharel

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Article in PLOS global public health, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ada ThapaHealth Foundation Nepal, Dang, Nepal.ORCID https://orcid.org/0009-0004-4210-6265
Susagya BhusalHealth Foundation Nepal, Dang, Nepal.ORCID https://orcid.org/0009-0000-0685-9770
Omkar JhaHealth Foundation Nepal, Dang, Nepal.ORCID https://orcid.org/0009-0005-2771-7903
Adipti PanthaHealth Foundation Nepal, Dang, Nepal.
Sudim SharmaHealth Foundation Nepal, Dang, Nepal.ORCID https://orcid.org/0000-0002-4782-8257
Austin SealsDepartments of Internal and Cardiovascular Medicine, Atrium Health Wake Forest Baptist, Wake Forest University, School of Medicine, Winston-Salem, North Carolina United States of America.
Madhav K CDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Archana ShresthaDepartment of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Bibhav AcharyaUniversity of California, San Francisco, California, United States of America.
Yashashwi PokharelHealth Foundation Nepal, Dang, Nepal.ORCID https://orcid.org/0000-0002-9338-2073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-management support by community health workers, referred to as Female Community Health Volunteers (FCHVs) in Nepal, can enhance diabetes care in resource-constrained settings. We assessed FCHVs' knowledge, perceived self-efficacy, and barriers to supporting diabetes self-management before and after training. Guided by the Health Belief Model, we conducted a biphasic, Qual + quan, concurrent, embedded mixed-methods evaluations among 28 FCHVs in four wards in rural mid-Western Nepal. We evaluated the program into two phases, each consisting of focus group discussions (FGDs); trainings that included didactics, hands-on-practice, and role play demonstrations; and pre- and post-training surveys. Phase 2 occurred nine months after Phase 1. We conducted trainings and evaluations over 4-5 hours/ward/phase. FGD data were analyzed using both deductive and inductive coding and emerging themes were then examined for patterns and relationships among the codes. We summarized quantitative data using descriptive statistics and integrated with qualitative data during interpretation. FCHVs' mean age was 48 years, 32.1% had completed secondary education, and 75% had served as FCHVs for >10 years. We identified five themes in qualitative analysis: (1) diabetes knowledge, (2) diet and lifestyle counseling, (3) FCHV's confidence, (4) training and education, and (5) barriers and motivators for community-based self-management support. Mixed-methods evaluations showed knowledge of diabetes and confidence in self-management skills improved after the training. Although barriers, such as inadequate incentives, persisted in Phase 2, communities' trust in FCHV as diabetes self-management supporter improved. These findings suggest that FCHVs may be willing to take a greater role in diabetes self-management support, and that even short training sessions have the potential to enhance their confidence and knowledge, particularly if our findings are further substantiated. Ensuring appropriate incentives, ongoing training and system-level support are important for sustainability of such programs.

Identifiers

PMID41818296
PMCPMC12981428

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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.