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Hayibor, K.M.* ; Kenu, E.* ; Mensah, G.I.* ; Awalime, D.* ; Anaman, J.* ; Asante-Poku, A.* ; Ivanova, O.* ; Abhishek, B.* ; Rachow, A. ; Hanson-Nortey, N.N.*

Scaling up tuberculosis case finding via private providers in Ghana: An impact evaluation using interrupted time series.

Front. Publ. Health 13:1598269 (2025)
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Open Access Gold
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BACKGROUND: Although TB services are free in Ghana, TB case detection remains low and mostly limited to public facilities. To address this, a Public-Private Mix (PPM) Directly Observed Therapy (DOT) model was introduced, involving community private healthcare providers and the National Health Insurance Scheme (NHIS) to boost TB case detection rates. METHODS: This impact evaluation focuses on four key interventions targeting vulnerable populations in Ghana's two largest metropolitan areas between the last quarter of 2018 and the first quarter of 2020. Screening and TB register data were collected from implementing facilities, along with TB case notifications from 2015 to 2022 for both intervention and control areas. Comparative interrupted time series (ITS) analysis was used to evaluate the effect of the interventions on quarterly TB case notifications. RESULTS: During the intervention period, a total of 563,868 persons were screened for TB, 12,121 of these were presumptive for TB and 590 persons were diagnosed with TB. Of the diagnosed TB cases, 95.3% (562) were bacteriologically confirmed. The overall TB screening yield was 104.6 cases per 100,000 population. In the intervention area, TB case notifications increased from 1,392 cases in 2018 to 1,462 cases in 2019 while they decreased from 853 to 778 in the control area. The ITS analyses detected positive post-intervention trend differences in all forms of TB and bacteriologically confirmed TB notification case rates between the intervention and control areas. CONCLUSION: Expanding free TB services through a PPM DOT model and sustained community engagement can increase TB case detection in urban areas. National TB programs should adopt and scale this approach to enhance TB surveillance and control.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Interrupted Time Series; Covid-19; Care; Mix; Tb; Diagnosis; Models; Health; Sector
Language english
Publication Year 2025
HGF-reported in Year 2025
ISSN (print) / ISBN 2296-2565
e-ISSN 2296-2565
Quellenangaben Volume: 13, Issue: , Pages: , Article Number: 1598269 Supplement: ,
Publisher Frontiers
Publishing Place Lausanne
Reviewing status Peer reviewed
Institute(s) Research Unit Global Health (UGH)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-540001-003
Scopus ID 105015315171
PubMed ID 40933408
Erfassungsdatum 2025-10-13