Muhammad Osman1, Aaron S Karat2,3, Munira Khan4, Sue-Ann Meehan5, Arne von Delft6,7, Zameer Brey8, Salome Charalambous9,10, Anneke C Hesseling5, Pren Naidoo5, Marian Loveday11,12. 1. Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. mosman@sun.ac.za. 2. TB Centre, London School of Hygiene & Tropical Medicine, London, UK. 3. The Institute for Global Health and Development, Queen Margaret University, Edinburgh, UK. 4. Tuberculosis and HIV Investigative Network (THINK), Durban, South Africa. 5. Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. 6. School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. 7. TB Proof, Cape Town, South Africa. 8. Bill and Melinda Gates Foundation, Johannesburg, South Africa. 9. The Aurum Institute, Parktown, South Africa. 10. School of Public Health, University of the Witwatersrand, Johannesburg, South Africa. 11. HIV Prevention Research Unit, South African Medical Research Council, KwaZulu-Natal, Pietermaritzburg, South Africa. 12. South African Medical Research Council-CAPRISA-HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
Abstract
BACKGROUND: 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.
BACKGROUND: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.
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