Evidence map›Paper›PMID 41181625›Full record

ReviewJournal of multidisciplinary healthcare2025

Health Service Contracting in the Prevention and Treatment of Tuberculosis: A Scoping Review.

Mamat Lukman, Windy Rakhmawati, Rositianti

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 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.

Mamat LukmanDepartment of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Windy RakhmawatiDepartment of Pediatric Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
RositiantiFaculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) continues to be a worldwide health issue that demands a comprehensive and coordinated approach to management. The complexity of TB control requires cross-sector involvement, including collaboration with non-governmental organizations and the private sector. One widely applied approach is health service contracting to provide TB health services. This study aims to provide insight into the best practices of health service contracting in TB management that can be adopted to accelerate TB elimination at the national and global levels. This study used a scoping review method concerning the 2020 PRISMA Flow Diagram guidelines. Article searches were carried out systematically through SAGE Journals, ScienceDirect, PubMed, Scopus, EBSCO, and Cambridge Core databases. Articles were selected based on predetermined inclusion and exclusion criteria. A total of 10 articles were selected and analyzed to identify the contribution of health service contracting in TB management. The results showed that the involvement of the private sector, civil society organizations, and non-governmental institutions increased service coverage, reached populations that were difficult to access, and accelerated the process of detecting and treating TB cases. Several studies also reported increased case reporting, treatment adherence, and efficiency in resource use. Health service contracting is a potential strategy for strengthening the TB service system. With the involvement of various parties, this approach can strengthen the national response to TB and contribute to global efforts to eliminate TB.

Indexed as

health service contractingpreventivetreatmenttuberculosis

Identifiers

PMID41181625
PMCPMC12577453

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.