Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021

Grant, AD and Kielmann, K. 2022. Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021. [Online]. UK Data Service, Colchester, Essex, United Kingdom. Available from: https://doi.org/10.5255/UKDA-SN-854435

Grant, AD and Kielmann, K. Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021 [Internet]. UK Data Service; 2022. Available from: https://doi.org/10.5255/UKDA-SN-854435

Grant, AD and Kielmann, K (2022). Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-854435

Description

Description of data capture This study was conducted over four years (2017–2021) and had three stages: 1) observe & measure (data collection), 2) combine & design (system dynamics workshops), and 3) model & cost (mathematical and economic modelling). All data collection was done before the start of the COVID-19 pandemic. Data collection. For the policy setting we conducted in-depth interviews with policy actors (health system, researchers, activists) at various levels of the health system, from local clinics to global policymaking bodies as well as specialists in primary care, IPC, and the built environment. The prevalence of TB survey involved randomly selecting adults (≥18 years) attending 2 primary healthcare clinics who were interviewed and requested to give sputum for mycobacterial culture. For the clinic setting we used structured and unstructured observations and formal interviews and focus group discussions and informal conversations with clinic managers, health care workers, and patients. Patient flow was mapped in the clinics - unique barcodes were used to track attendees’ movements in 11 clinics in two provinces, multiple imputation was used to estimate missing arrival and departure times, and mixed-effects linear regression to examine associations with visit duration . Clinic ventilation was measured in clinic spaces using a tracer-gas release method.
Data capture method Interview: Face-to-face, Questionnaire: Fixed form - Paper, Focus Group: Face-to-Face, Field observation: Participant, Experiment: Field Intervention, Recording, Transcription, Measurements and tests, Physical measurements and tests, Other
Data Collection Period
FromTo
1 August 201728 February 2022
Date (Published in a 3rd party system) 4 July 2022
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
-28.798131.3883-32.20528.2901
Language(s) of written materials English
Data Creators Grant, AD and Kielmann, K
Associated roles Colvin, CJ (Researcher), Kallon, II (Researcher), Swartz, A (Researcher), Govender, I (Researcher), Voce, AS (Researcher), Zwama, G (Researcher), Smith, T (Researcher), Karat, AS (Researcher), Yates, TA (Researcher), Beckwith, PG (Researcher), Diaconu, K (Researcher), Mccreesh, N (Researcher) and Bozzani, F (Researcher)
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Faculty of Infectious and Tropical Diseases > Dept of Clinical Research
Faculty of Public Health and Policy > Dept of Global Health and Development
Research Centre Antimicrobial Resistance Centre (AMR)
TB Centre
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom, Institute of Tropical Medicine Antwerp, Antwerp, Belgium, University of Cape Town, Cape Town, South Africa, University of Stellenbosch, Stellenbosch, South Africa, University of KwaZulu-Natal, Berea, KwaZulu-Natal, South Africa, Queen Margaret University, Edinburgh, Scotland, Africa Health Research Institute, KwaZulu-Natal, South Africa
Funders
ProjectFunderGrant NumberFunder URI
Umoya OmuhleEconomic and Social Research CouncilES/P008011/1http://dx.doi.org/10.13039/501100000269
Umoya OmuhleBloomsbury set (Research England)BSA23UNSPECIFIED
Date Deposited 08 Jul 2022 13:40
Last Modified 08 Jul 2022 13:41
Publisher UK Data Service

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