T S Johnson, J Kakeeto, D Isooba, S Birabwa, J Magezi, W Kamya, R Okura, I Naluyima, A Nalutaaya, P J Kitonsa, E A Kendall, A Katamba, D W Dowdy
{"title":"Personnel time requirements for mobile chest X-ray screening for TB.","authors":"T S Johnson, J Kakeeto, D Isooba, S Birabwa, J Magezi, W Kamya, R Okura, I Naluyima, A Nalutaaya, P J Kitonsa, E A Kendall, A Katamba, D W Dowdy","doi":"10.5588/ijtldopen.25.0254","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Community-based active case finding (ACF) using chest X-ray (CXR) is effective for early TB detection, but implementation is limited by high resource demands.</p><p><strong>Methods: </strong>We 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.</p><p><strong>Results: </strong>Given 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%).</p><p><strong>Conclusion: </strong>TB ACF requires substantial human resources for implementation. National TB Programs should carefully consider personnel requirements when planning and scaling these programmes.</p>","PeriodicalId":519984,"journal":{"name":"IJTLD open","volume":"2 10","pages":"563-569"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12517262/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJTLD open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5588/ijtldopen.25.0254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Community-based active case finding (ACF) using chest X-ray (CXR) is effective for early TB detection, but implementation is limited by high resource demands.
Methods: We 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.
Results: Given 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%).
Conclusion: TB ACF requires substantial human resources for implementation. National TB Programs should carefully consider personnel requirements when planning and scaling these programmes.