Evidence map›Paper›PMID 40933408›Full record

ArticleFrontiers in public health2025

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

Kenneth Mawuta Hayibor, Ernest Kenu, Gloria Ivy Mensah, Dziedzorm Awalime, Jabina Anaman, Adwoa Asante-Poku, Olena Ivanova, Bakuli Abhishek, Andrea Rachow, Nortey Nii Hanson-Nortey

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Kenneth Mawuta HayiborCenter for International Health, Ludwig-Maximilians-Universität, Munich, Germany.
Ernest KenuSchool of Public Health, University of Ghana, Accra, Ghana.
Gloria Ivy MensahNoguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Dziedzorm AwalimeAurum Institute Ghana, Accra, Ghana.
Jabina AnamanAurum Institute Ghana, 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.
Bakuli AbhishekInstitute 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.
Nortey Nii Hanson-NorteyAurum Institute Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Mass ScreeningPrivate SectorTuberculosisAdolescentAdultDirectly Observed TherapyDisease NotificationFemaleGhanaHumansInterrupted Time Series AnalysisMaleMiddle Agedactive case notificationcommunity engagementprivate healthcare providerspublic-private mixtuberculosis

Identifiers

PMID40933408
PMCPMC12417460

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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.