Evidence map›Paper›PMID 41089226›Full record

ArticleIJTLD open2025

Personnel time requirements for mobile chest X-ray screening for TB.

T S Johnson, J Kakeeto, D Isooba, S Birabwa, J Magezi, W Kamya, R Okura, I Naluyima, A Nalutaaya, P J Kitonsa and 3 more

Abstract read
In one paragraph

Article in IJTLD open, 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

13 authors.

T S JohnsonJohns Hopkins Bloomberg School of Public Health, Epidemiology, Baltimore, MD, USA.
J KakeetoWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
D IsoobaWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
S BirabwaWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
J MageziWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
W KamyaWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
R OkuraWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
I NaluyimaWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
A NalutaayaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
P J KitonsaWalimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
E A KendallDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
A KatambaDepartment of Internal Medicine, Clinical Epidemiology and Biostatistics Unit, Makerere University College of Health Sciences, Kampala, Uganda.
D W DowdyJohns Hopkins Bloomberg School of Public Health, Epidemiology, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity-based active case finding (ACF) using chest X-ray (CXR) is effective for early TB detection, but implementation is limited by high resource demands.

methodsWe assessed human resource needs for two ACF strategies - community-based and facility-adjacent - using mobile CXR with computer-aided detection during a cluster randomised crossover trial in peri-urban Uganda. Tuberculin skin testing (TST) was offered, with referral to preventive therapy for those with positive TST but negative TB evaluation. We conducted time-and-motion observations of three- and four-member screening teams over 90 days (July 2023-April 2024). We estimated staff time per key screening outcome, including time per positive Xpert result and per positive TST reading.

resultsGiven an average yield of 6.9 cases per 1,000 individuals screened, three-member (four-member) screening teams collectively spent 65.0 (80.2) person-hours per positive Xpert result, or 26.7 (32.9) person-hours per positive TST read. Staff performed a diverse range of activities, of which the most time-consuming were initial intake (community-based: 2.0 h/day, 23% of time; facility-adjacent: 2.7 h/day, 31% of time) and participant counselling (1.6 h/day, 18%; 2.0 h/day, 22%).

conclusionTB ACF requires substantial human resources for implementation. National TB Programs should carefully consider personnel requirements when planning and scaling these programmes.

Indexed as

active case findingartificial intelligencediagnosishuman resourcestuberculosis

Identifiers

PMID41089226
PMCPMC12517262

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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.