Dataset for: "Tuberculosis prevalence after four years of population-wide systematic TB symptom screening and universal testing and treatment for HIV in the HPTN 071 (PopART) community-randomised trial in Zambia and South Africa: findings from the TREATS study"

Schaap, A and Floyd, S. 2023. Dataset for: "Tuberculosis prevalence after four years of population-wide systematic TB symptom screening and universal testing and treatment for HIV in the HPTN 071 (PopART) community-randomised trial in Zambia and South Africa: findings from the TREATS study". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003517.

Schaap, A and Floyd, S. Dataset for: "Tuberculosis prevalence after four years of population-wide systematic TB symptom screening and universal testing and treatment for HIV in the HPTN 071 (PopART) community-randomised trial in Zambia and South Africa: findings from the TREATS study" [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00003517.

Schaap, A and Floyd, S (2023). Dataset for: "Tuberculosis prevalence after four years of population-wide systematic TB symptom screening and universal testing and treatment for HIV in the HPTN 071 (PopART) community-randomised trial in Zambia and South Africa: findings from the TREATS study". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003517.

Description

Dataset to reproduce the statistical analysis of the co-primary outcome of the TREATS TB Prevalence survey. Each row represents a randomly selected participant of the cross-sectional TB-prevalence survey and includes HIV-status, results of TB-symptom screening, Xray-screening (CAD4TB-score), TB bacteriological test result on sputum (Xpert-Ultra, culture) and prevalent TB according to screening/diagnostic algorithm or as a result of imputation of missing data.

Methods

Description of data capture

Participants of the TB-prevalence survey were visiting a mobile field site and were guided through a flow of stations (registration, TB-symptom screening, Chest X-ray, sputum collection point, HIV-testing). Data collected at different stations was recorded using a tailor-made electronic Data Management System using a mySQL relational database in a local area network. Data from the mobile field site was daily synchronized to a central location. Electronic data capturing of questionnaires, administered by Research Enumerators through interviews were combined with results of HIV rapid test, bacteriological test for TB in sputum and chest Xray- CAD4TB results.

Data capture method

Questionnaire

Data Collection Period

From	To
18 February 2019	7 July 2021

Date (Date submitted to LSHTM repository)

11 July 2023

Geographical area covered (offline during plugin upgrade)

North Latitude	East Longitude	South Latitude	West Longitude
-12.0287	30.1855	-18.1147	23.1323
-32.6157	22.0888	-34.899	17.7644

Language(s) of written materials

English

People & Groups

Data Creators	Schaap, A and Floyd, S
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre	ACT Consortium
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Zambia School of Public Health, Lusaka, Zambia, KNCV Tuberculosis Foundation, the Hague, the Netherlands, Health Systems Trust, Cape Town, South Africa, School of Health and Related Research. University of Sheffield, Sheffield, United Kingdom, HIV Clinical Trials Unit, Imperial College London, London, United Kingdom, Department of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Center, Amsterdam, The Netherlands