Cohort Profile: South African Population Research Infrastructure Network (SAPRIN)

Collinson, Mark; Mudzana, Taurayi; Mutevedzi, Tinofa; Kahn, Kathleen; Maimela, Eric; Gómez‐Olivé, F. Xavier; Mngomezulu, Thobeka; Gareta, Dickman; Kabudula, Chodziwadziwa Whiteson; Nemuramba, Rathani; Tlouyamma, Joseph; Tollman, Stephen; Herbst, Kobus

doi:10.1093/ije/dyab261

Cited by 9 publications

(7 citation statements)

References 34 publications

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“… 10 Some efforts to this end have been established in Africa, such as the Implementation Network for Sharing Population Information from Research Entities (INSPIRE) in East Africa, 11 the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) in Western Africa, 12 and the South African Population Research Infrastructure Network (SAPRIN) in South Africa. 13 By ensuring FAIR data through communities of practice of LPS platforms, nongovernmental organizations (NGOs) and institutions operating LPSs have a potential to advance public health response through the creation of tools for knowledge access co-designed with end-users—both communities and policy actors –in order to respond to important policy questions at local, national, and regional levels.…”

Section: The Role Of Longitudinal Population Studiesmentioning

confidence: 99%

A call-to-action: integrate a learning health system framework into longitudinal population studies to improve health response in Africa

Kadengye,

Kiragga

2024

Health Affairs Scholar

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Longitudinal Population Studies (LPS) in Africa have the potential to become powerful engines of change by adopting a Learning Health System Framework. This is a call-to-action opinion, highlights the importance of integrating a learning health system approach into LPS, emphasizing its transformative potential to improve population health response, drive evidence-based decision-making, and enhance community well-being. Operators of LPS platforms, community members, government officials, and funding agencies have a role to contribute to this transformative journey of driving evidence-based interventions, promoting health equity, and fostering long-term public health solutions for African communities.

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Section: The Role Of Longitudinal Population Studiesmentioning

confidence: 99%

A call-to-action: integrate a learning health system framework into longitudinal population studies to improve health response in Africa

Kadengye,

Kiragga

2024

Health Affairs Scholar

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“…The Agincourt HDSS study site, located in South Africa’s Mpumalanga Province, was established in 1992 and has a current population of approximately 115 000. 8 , 9 This population includes individuals residing within the study site, as well as those residing outside the HDSS catchment area (migrants) who report connections to their HDSS household through visits and remittances. In 2016, 18–40-year-olds constituted 41.3% of the Agincourt HDSS population, with the prevalence of migration in this age range approximately 40% among females and 60% among males.…”

Section: Who Is In the Cohort?mentioning

confidence: 99%

Cohort Profile: Migrant Health Follow-Up Study (MHFUS) of internal migration in South Africa

Ginsburg,

Collinson,

Pheiffer

et al. 2024

International Journal of Epidemiology

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“…Household SES was constructed using principal component analysis based on ownership of household assets and characteristics such as access to piped water, type of toilet, electricity and type of cooking fuel. 17 To provide population-wide estimates, all analyses were weighted to account for non-participation in the Vukuzazi Study, with weights calculated as the inverse probability of study participation in strata defined by age group and sex. Lastly, to ascertain relative contributions of disease states to all-cause mortality, we fit a Cox proportional hazards model to each individual condition and combinations of those conditions, adjusted for age, employment, SES and stratified by sex.…”

Section: Statistical Analysesmentioning

confidence: 99%

HIV, hypertension and diabetes care and all-cause mortality in rural South Africa in the HIV antiretroviral therapy era: a longitudinal cohort study

Chidumwa,

Mazibuko,

Olivier

et al. 2023

bmjph

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IntroductionSouth Africa is in the midst of rapid epidemiological transition from extremely high HIV and tuberculosis (TB) mortality to one characterised increasingly non-communicable disease-related deaths. However, longitudinal data linking modifiable risk factors and disease care indices to mortality in the country are extremely rare, and a prerequisite to appropriately prioritise health system responses.MethodsIndividuals in the Africa Health Research Institute Southern Demographic Health Surveillance area were invited to health fairs to collect data on modifiable risk factors and HIV, TB, diabetes and hypertension disease status and control. Individuals are then followed longitudinally through routine surveillance to detect deaths. We fit Cox proportional hazards models and estimated population-attributable fractions (PAFs) to identify modifiable risk factors and disease control indicators associated with all-cause mortality.ResultsA total of 18 041 individuals completed health screening and were followed for 114 692 person-years. Men had higher mortality rates than women across all age bands. The median follow-up time was 3.3 years (IQR: 3.0–3.5 years). For men, communicable diseases accounted for a higher PAF of mortality (PAF=13.7% for HIV and 8.3% for TB) than non-communicable diseases (6.6% for hypertension and 1.9% for diabetes). By contrast, despite extremely high HIV prevalence, non-communicable diseases with comorbid communicable disease accounted for the greatest share of deaths. In both sexes, having a chronic disease with poor control was most predictive of all-cause mortality. For example, among men, compared with those without each condition, adjusted HRs of all-cause mortality for people with uncontrolled disease were 3.47 (95% CI 2.10 to 5.72) for HIV, 1.52 (95% CI 1.05 to 2.20) for hypertension and 2.34 (95% CI 1.75 to 6.79) for diabetes. Among women, these same ratios were 5.32 (95% CI 3.54 to 7.99) for HIV, 1.73 (95% CI 1.31 to 2.28) for hypertension and 3.11 (95% CI 2.02 to 4.77) for diabetes.DiscussionPoor control of chronic, treatable diseases predicts all-cause mortality in rural South Africa in the HIV antiretroviral therapy era. Health system strengthening to improve chronic disease and multimorbidity care should be prioritised.

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Cohort Profile: South African Population Research Infrastructure Network (SAPRIN)

Cited by 9 publications

References 34 publications

A call-to-action: integrate a learning health system framework into longitudinal population studies to improve health response in Africa

A call-to-action: integrate a learning health system framework into longitudinal population studies to improve health response in Africa

Cohort Profile: Migrant Health Follow-Up Study (MHFUS) of internal migration in South Africa

HIV, hypertension and diabetes care and all-cause mortality in rural South Africa in the HIV antiretroviral therapy era: a longitudinal cohort study

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