Evidence map›Paper›PMID 41601474›Full record

ArticleFrontiers in health services2025

Barriers and facilitators of implementing public-private mix approaches for active tuberculosis case finding and health insurance access in at-risk populations in Ghana: a qualitative study.

Kenneth Mawuta Hayibor, Ernest Kenu, Delia Akosua Bandoh, Benedicta Owusu-Arthur, Magdalene Akos Odikro, Gloria Ivy Mensah, Dziedzorm Awalime, Adwoa Asante-Poku, Olena Ivanova, Andrea Rachow and 1 more

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Article in Frontiers in health services, 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

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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

11 authors.

Kenneth Mawuta HayiborCenter for International Health, Ludwig-Maximilians-Universität, Munich, Germany.
Ernest KenuSchool of Public Health, University of Ghana, Accra, Ghana.
Delia Akosua BandohSchool of Public Health, University of Ghana, Accra, Ghana.
Benedicta Owusu-ArthurSchool of Public Health, University of Ghana, Accra, Ghana.
Magdalene Akos OdikroSchool of Public Health, University of Ghana, Accra, Ghana.
Gloria Ivy MensahNoguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Dziedzorm AwalimeAurum Institute, Accra, Ghana.
Adwoa Asante-PokuNoguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Olena IvanovaInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Andrea RachowInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Nii Nortey Hanson-NorteyAurum Institute, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Ghana, although free tuberculosis (TB) services are provided at public facilities, the TB case detection rate is still lower than anticipated. To enhance TB case detection, private community healthcare providers and the National Health Insurance Scheme (NHIS) have been involved using a Public-Private Mix (PPM) model, which includes active case finding (ACF) and access to insurance. This study examines the facilitators and barriers to implementing a PPM model that aims to expand ACF and provide health insurance to newly diagnosed TB patients among at-risk populations in two Ghanaian cities. Methods: This was an exploratory qualitative study based on 54 TB patient exit interviews, key informant interviews from seven sub-metro TB coordinators and 44 facility-level TB coordinators, and six focus group discussions were held, comprising four with health workers ( Results: Implementation of the PPM model was facilitated by strong stakeholder collaboration, adaptable screening procedures, adequate diagnostic resources, and effective supervision. However, delays in NHIS reimbursements, limited registration logistics, weak intersectoral communication, and high staff turnover constrained implementation. While community engagement and the integration of TB screening into routine care enhanced uptake, persistent financial and operational barriers limited the program's sustainability. Conclusion: The PPM model increased TB case detection and expanded insurance coverage but was limited by structural inefficiencies, especially within NHIS operations. Future efforts should address systemic misalignments, support healthcare workers, and improve NHIS-private provider collaboration. Recognizing facilitators and barriers can help policymakers, TB program managers, NHIS officials, and partners plan more effective PPM models to boost active case finding in Ghana and similar settings.

Indexed as

active case-findingcommunity-based screeningfacilitators and barriershealth insurancepublic-private mixtuberculosis

Identifiers

PMID41601474
PMCPMC12832754

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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.