Repository logo
 

Health system determinants of tuberculosis mortality in South Africa: A causal loop model

dc.contributor.authorOsman, Muhammad
dc.contributor.authorKarat, Aaron S.
dc.contributor.authorKhan, Munira
dc.contributor.authorMeehan, Sue-Ann
dc.contributor.authorvon Delft, Arne
dc.contributor.authorBrey, Zameer
dc.contributor.authorCharalambous, Salome
dc.contributor.authorHesseling, Anneke C.
dc.contributor.authorNaidoo, Pren
dc.contributor.authorLoveday, Marian
dc.date.accessioned2021-04-27T07:59:56Z
dc.date.available2021-04-27T07:59:56Z
dc.date.issued2021-04-26
dc.date.submitted2021-01-11
dc.date.updated2021-04-26T15:52:41Z
dc.descriptionAaron S. Karat - ORCID: 0000-0001-9643-664X https://orcid.org/0000-0001-9643-664X
dc.description.abstractBackground: Tuberculosis (TB) is a major public health concern in South Africa and TB-related mortality remains unacceptably high. Numerous clinical studies have examined the direct causes of TB-related mortality, but its wider, systemic drivers are less well understood. Applying systems thinking, we aimed to identify factors underlying TB mortality in South Africa and describe their relationships. At a meeting organised by the ‘Optimising TB Treatment Outcomes’ task team of the National TB Think Tank, we drew on the wide expertise of attendees to identify factors underlying TB mortality in South Africa. We generated a causal loop diagram to illustrate how these factors relate to each other. Results: Meeting attendees identified nine key variables: three ‘drivers’ (adequacy & availability of tools, implementation of guidelines, and the burden of bureaucracy); three ‘links’ (integration of health services, integration of data systems, and utilisation of prevention strategies); and three ‘outcomes’ (accessibility of services, patient empowerment, and socio-economic status). Through the development and refinement of the causal loop diagram, additional explanatory and linking variables were added and three important reinforcing loops identified. Loop 1, ‘Leadership and management for outcomes’ illustrated that poor leadership led to increased bureaucracy and reduced the accessibility of TB services, which increased TB-related mortality and reinforced poor leadership through patient empowerment. Loop 2, ‘Prevention and structural determinants’ describes the complex reinforcing loop between socio-economic status, patient empowerment, the poor uptake of TB and HIV prevention strategies and increasing TB mortality. Loop 3, ‘System capacity’ describes how fragmented leadership and limited resources compromise the workforce and the performance and accessibility of TB services, and how this negatively affects the demand for higher levels of stewardship. Conclusions: Strengthening leadership, reducing bureaucracy, improving integration across all levels of the system, increasing health care worker support, and using windows of opportunity to target points of leverage within the South African health system are needed to both strengthen the system and reduce TB mortality. Further refinement of this model may allow for the identification of additional areas of intervention.
dc.description.ispublishedpub
dc.description.sponsorshipThe South African TB Think Tank is funded by the Bill and Melinda Gates Foundation. The work reported herein was made possible through funding by the South African Medical Research Council (SA MRC) through its Division of Research Capacity Development under the Bongani Mayosi National Health Scholars Program from funding received from the Public Health Enhancement Fund/South African National Department of Health to MO. The contents of any Publications from any studies during this Degree are solely the responsibility of the authors and do not necessarily represent the official views of the SA MRC or the funders. ML is financially supported by the South African Medical Research Council and a United Way Worldwide grant made possible by the Lilly Foundation on behalf of the Lilly MDR-TB Partnership. ACH is financially supported by the South African National Research Foundation through a South African Research Chairs Initiative (SARChI). The financial assistance of the NRF towards this research is hereby acknowledged. Opinions expressed, and conclusions arrived at, are those of the authors and are not necessarily to be attributed to the NRF.
dc.description.statuspub
dc.description.volume21
dc.identifierhttps://eresearch.qmu.ac.uk/bitstream/handle/20.500.12289/11235/11235.pdf
dc.identifier.citationOsman, M., Karat, A.S., Khan, M., Meehan, S.-A., von Delft, A., Brey, Z., Charalambous, S., Hesseling, A.C., Naidoo, P. and Loveday, M. (2021) ‘Health system determinants of tuberculosis mortality in South Africa: a causal loop model’, BMC Health Services Research, 21(1), p. 388. Available at: https://doi.org/10.1186/s12913-021-06398-0.en
dc.identifier.issn1472-6963
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/11235
dc.identifier.urihttps://doi.org/10.1186/s12913-021-06398-0
dc.languageen
dc.publisherBMC
dc.relation.ispartofBMC Health Services Research
dc.rights.licenseCreative Commons Attribution 4.0 International License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectTuberculosis Mortality
dc.subjectHealth Systems
dc.titleHealth system determinants of tuberculosis mortality in South Africa: A causal loop model
dc.typeArticle
dcterms.accessRightspublic
dcterms.dateAccepted2021-04-09
qmu.authorKarat, Aaron S.
qmu.centreInstitute for Global Health and Development
refterms.dateDeposit2021-04-27
refterms.dateFCD2021-04-27
refterms.depositExceptionpublishedGoldOA
refterms.versionVoR

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
11235.pdf
Size:
1003.44 KB
Format:
Adobe Portable Document Format
Description:
Published Version
No Thumbnail Available
Name:
11235.xml
Size:
109.46 KB
Format:
Extensible Markup Language
Description:
XML