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Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021
Creator
Grant, A, London School of Hygiene and Tropical Medicine
Kielmann, K, Institute of Tropical Medicine Antwerp
Study number / PID
854435 (UKDA)
10.5255/UKDA-SN-854435 (DOI)
Data access
Information not available
Series
Not available
Abstract
This multidisciplinary project adopted a 'whole systems' approach using methods from epidemiology, anthropology, and health systems research (Systems dynamic modelling) to understand the context, practice, and the potential for effective implementation of IPC for TB in South Africa. This project was conducted over four years (2017–2021) and had three stages:
1) observe & measure (data collection),
2) combine & design (system dynamics workshops)
3) model & cost (mathematical and economic modelling).
These three phases of the project addressed seven research question. Research question 1 described the policy and systems context by looking at how South African policies on IPC for TB have evolved and been implemented. We spoke with members of civil society, and policymakers. For Research question 2, which related to the epidemiological context, we estimated how much TB transmission happens in clinics compared to other community locations. We estimated how many adults attending clinics had active TB and/or TB symptoms. We also estimated the risk of contact between people with infectious TB and other clients within clinics, and separately estimated, among community members, the frequency of social contacts in clinics as compared to other settings where people meet.
Research questions 3 and 4 examined the effect of clinic design and working practices on transmission and looked to understand healthcare workers perceptions of risk and responsibility. We used structured and in-depth qualitative methods to document IPC practice in health clinics considering the role of clinic design, organisation of care, work practices, as well as health care worker, manager, and patient ideas about risk and responsibility in IPC. We spoke to patients, health workers, as well as specialists in primary care, IPC, and the built environment. The collected data enabled us to calculate the ventilation of waiting areas and consultation rooms; and we examined how people moved ...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2018 - 01/01/2021
Country
South Africa
Time dimension
Not available
Analysis unit
Individual
Organization
Time unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Audio
Data collection mode
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.
Funding information
Grant number
ES/P008011/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 31/08/2022 and the data will then be available in accordance with the access level selected.