Evidence map›Paper›PMID 40985018›Full record

ArticleJournal of public health research2025

Community-driven strategies and policies for drug-resistant tuberculosis control in Banyumas Regency, Indonesia: A comprehensive 2023 analysis.

Maya Masita, Farizah Mohd Hairi, Adang Bachtiar, Nana Mulyana, Helen Andriani

Abstract read
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Article in Journal of public health research, 2025. 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

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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maya MasitaMaster of Public Health Study Program, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Farizah Mohd HairiDepartment of Social & Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Adang BachtiarDepartment of Health Policy and Administration, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Nana MulyanaPolytechnic of Health Ministry of Health Jakarta III, Indonesia.
Helen AndrianiDepartment of Health Policy and Administration, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.ORCID https://orcid.org/0000-0001-5057-0851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Central Java, Indonesia, struggles with low drug-resistant tuberculosis (DR-TB) case detection (33%) and treatment rates (25%), far below the 60% target. Despite policies, including Minister of Health Regulation No. 67/2016 and Presidential Regulation No. 67/2021, along with the National TB Strategy for Tuberculosis Control 2020-2024 have been implemented, targets remain unmet due to weak community involvement. This study analyzed TB policy implementation in high-prevalence Banyumas Regency, focusing on cadres and community organizations. Design and Methods: This qualitative study employed the Van Meter and Van Horn framework to assess policy implementation. Key stakeholders involved informants from Puskesmas (community health centers), TB cadres, TB program holders at the Regency Health Office, and the Mentari Sehat Indonesia Foundation. Data collection involved in-depth interviews with these informants, as well as policy documents, guidelines, and reports from agencies or institutions. Triangulation methods were used to enhance the validity of the findings. Results: Implementers understood policy standards, supported by consistent communication among Health Offices, community health workers, local organizations, and village leaders. Positive attitudes were reflected in joint commitments and Regional Action Plans. Cadres and communities actively supported case-finding, treatment, education, socioeconomic aid, and stigma reduction. Conclusions: Policies lack sufficient local budget allocation. Weak motivation of TB cadres, lack of commitment among regional organizations, and persistent stigma in the community are evident. The Global Fund aids DR-TB control through grants and patient support to ensure treatment adherence. However, sustained impact requires government attention to policy, human resources, infrastructure, and complementary resources to achieve synergy.

Indexed as

commmunity involvementdrug-resistant tuberculosisglobal fund supportpolicy implementationstigma reduction

Identifiers

PMID40985018
PMCPMC12450255

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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.