{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T12:29:43Z","timestamp":1763728183831},"reference-count":0,"publisher":"International Union Against Tuberculosis and Lung Disease","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["int j tuberc lung dis"],"published-print":{"date-parts":[[2022,5,1]]},"abstract":"<jats:p><jats:bold>BACKGROUND:<\/jats:bold> An appropriate screening approach and quality care are crucial for TB programmes in prisons. This study assessed crude TB prevalence, accuracy of the screening methods and treatment outcomes in a Thai prison.<jats:bold>METHOD:<\/jats:bold> This was a retrospective analysis of\n findings from a mass CXR screening conducted among incarcerated people in July 2017. Digital radiographs were forwarded to a chest physician to read and classify in six categories using WHO categorisation. CXR with significant Categories 3 (no active TB), 4 (not TB), 5 (TB) and 6 (unclassified)\n abnormalities were eligible for sputum microscopy and Xpert testing. A screening questionnaire locally known as TB-P1 was used for case management. Patients with TB received care in the prison.<jats:bold>RESULTS:<\/jats:bold> Of 2,382 prisoners screened, 6.3% had CXR Categories 3\u20136. Crude prevalence\n of bacteriologically confirmed TB was 1,133\/100,000 (95% CI 748.3\u20131644.9). The screening\u00b4s sensitivity was 96.3% based on CXR Category 5 and 22.2% using TB-P1. Treatment success rates in drug-susceptible and drug-resistant TB patients were respectively 66.7% and 33.3%.<jats:bold>CONCLUSION:<\/jats:bold>\n The WHO radiograph categorisation could be used to screen for TB in the field and may be applied in artificial intelligence for interpreting CXR; screening questionnaires are not effective in prison environments. Nonetheless, low treatment success rates remained a challenge.<\/jats:p>","DOI":"10.5588\/ijtld.21.0618","type":"journal-article","created":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T04:32:11Z","timestamp":1651638731000},"page":"419-425","source":"Crossref","is-referenced-by-count":1,"title":["Systematic TB screening using WHO radiograph categorisation and care outcomes"],"prefix":"10.5588","volume":"26","author":[{"given":"S.","family":"Jittimanee","sequence":"first","affiliation":[{"name":"Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Namonta","sequence":"additional","affiliation":[{"name":"Thanyaburi District Prison, Pathum Thani, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Charuenporn","sequence":"additional","affiliation":[{"name":"Division of Medical Services, Department of Corrections, Nonthaburi, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3554","container-title":["The International Journal of Tuberculosis and Lung Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ingentaconnect.com\/content\/iuatld\/ijtld\/2022\/00000026\/00000005\/art00008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T04:32:06Z","timestamp":1657686726000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ingentaconnect.com\/content\/10.5588\/ijtld.21.0618"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,1]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5,1]]}},"alternative-id":["1027-3719(20220501)26:5L.419;1-"],"URL":"https:\/\/doi.org\/10.5588\/ijtld.21.0618","relation":{},"ISSN":["1027-3719"],"issn-type":[{"value":"1027-3719","type":"print"}],"subject":[],"published":{"date-parts":[[2022,5,1]]}}}