Evidence map›Paper›PMID 39931264›Full record

ArticleHealth science reports2025

Factors Associated With Low Tuberculosis Case Detection and Investigation in Public Health Facilities (PHFs) in Bududa District, Uganda: A Cross-Sectional Study.

Imelda Tumuhairwe, Alimah Komuhangi, Alfred Okello, Apolo Ayebale, Ambrose Wabwire Buyinza, Godfrey Bwire

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Imelda TumuhairweDepartment of Health Dududa District Local Government Bududa Uganda.
Alimah KomuhangiInstitute of Public Health and Management Clarke International University Kampala Uganda.ORCID 0000-0003-4871-8698
Alfred OkelloDepartment of Health Amuru District Local Government Amuru Uganda.
Apolo AyebaleDepartment of Integrated Epidemiology Surveillance and Public Health Emergencies, Ministry of Health Kampala Uganda.
Ambrose Wabwire BuyinzaDepartment of Architecture and Physical Planning Makerere University Kampala Uganda.
Godfrey BwireDepartment of Integrated Epidemiology Surveillance and Public Health Emergencies, Ministry of Health Kampala Uganda.ORCID 0000-0002-8376-2857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Despite global efforts to combat tuberculosis (TB), Uganda bears a high burden, with an annual incidence of 200 per 100,000 and a mortality rate of 35 per 100,000 persons. This study investigates TB prevalence, detection rates, and associated factors in public health facilities (PHFs) in Bududa district. Methods: A cross-sectional study employing Mixed Methods Research (MMR) was conducted in November 2019 on respondents with symptoms suggestive of TB and key informants overseeing TB care in Bududa district, Uganda. Results: Only 18.8% (46/245) of respondents who reported symptoms suggestive of TB were investigated for infection. The majority, 87.4%, never had sputum requested and 91.7% never had a chest X-ray done. Participants from rural areas were 26% less likely to be screened for TB than their urban counterparts (PR = 1.26, 95% CI [1.16-1.38]). Challenges for TB care included staffing shortages and inadequate medical supplies and equipment. Conclusion: This study highlights the disparity between high TB burden and low detection rates in Bududa district. The Government of Uganda and stakeholders should invest in solving the challenges identified by this study.

Indexed as

Africaepidemiologyinfectious diseasespublic healthtuberculosisUganda

Identifiers

PMID39931264
PMCPMC11808556

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Registered trials

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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.