Mortality trends and access to care for cardiovascular diseases in Agincourt, rural South Africa : a mixed methods analysis of verbal autopsy data

Acknowledgments Thank you to the team at the Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), particularly Chodziwadziwa Kabudula for his assistance with assembling the Agincourt HDSS data set for our use. The MRC/Wits Rural Public Health and Health Transitions Research Unit and Agincourt Health and Socio-Demographic Surveillance System, a node of the South African Population Research Infrastructure Network (SAPRIN), is supported by the Department of Science and Innovation, the University of the Witwatersrand, and the Medical Research Council, South Africa, and previously the Wellcome Trust, UK (grants 058893/Z/99/A; 069683/Z/02/Z; 085477/Z/08/Z; 085477/B/08/Z).Peer reviewedPublisher PD

Refining Circumstances of Mortality Categories (COMCAT) : a verbal autopsy model connecting circumstances of deaths with outcomes for public health decision-making

Acknowledgments The authors acknowledge the South African Population Research Infrastructure Network (SAPRIN), the African Health Research Institute (AHRI) and the MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt) for their support. The authors gratefully acknowledge Chodwizadziwa Kabudula, Daniel Mahlangu, Dickman Gareta and Siyabonga Nxumalofrom from the Agincourt and AHRI HDSSs who supported with data, and individuals who supported the development and main- tenance of the OpenVA software, particularly Dr Jason Thomas from Ohio State University who assisted in the development of the ‘referral’ COMCAT. The authors would also like to thank Professor Sam Clark for support and advice. Funding information Conceptualisation of COMCAT was supported through a parent study funded by the Joint Health Systems Research Initiative from Department for International Development (DFID)/Medical Research Council (MRC)/ Wellcome Trust/Economic and Social Research Council (ESRC) (Medical Research Charities Group MR/ P014844/1). Support was also provided through the UKRI Covid-19 Extension Allocation Fund (RG15639-15) and by the University of Aberdeen and the Scottish Funding Council (SFC) (SF10206-45).Peer reviewedPublisher PD

External injuries, trauma and avoidable deaths in Agincourt, South Africa : a retrospective observational and qualitative study

Acknowledgments We thank Chodziwadziwa Kabudula (MRC/Wits Rural Public Health and Health Transitions Research Unit—School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg/Acornhoek, South Africa) for his assistance with assembling the Agincourt HDSS data set for our use. The research presented in this paper was in part funded by the Health Systems Research Initiative from the Department for International Development (DFID)/ Medical Research Council (MRC)/Wellcome Trust/Economic and Social Research Council (ESRC) (MR/P014844/1).Peer reviewedPublisher PD

Refining circumstances of mortality categories (COMCAT): a verbal autopsy model connecting circumstances of deaths with outcomes for public health decision-making

BACKGROUND: Recognising that the causes of over half the world's deaths pass unrecorded, the World Health Organization (WHO) leads development of Verbal Autopsy (VA): a method to understand causes of death in otherwise unregistered populations. Recently, VA has been developed for use outside research environments, supporting countries and communities to recognise and act on their own health priorities. We developed the Circumstances of Mortality Categories (COMCATs) system within VA to provide complementary circumstantial categorisations of deaths. OBJECTIVES: Refine the COMCAT system to (a) support large-scale population assessment and (b) inform public health decision-making. METHODS: We analysed VA data for 7,980 deaths from two South African Health and Socio-Demographic Surveillance Systems (HDSS) from 2012 to 2019: the Agincourt HDSS in Mpumalanga and the Africa Health Research Institute HDSS in KwaZulu-Natal. We assessed the COMCAT system's reliability (consistency over time and similar conditions), validity (the extent to which COMCATs capture a sufficient range of key circumstances and events at and around time of death) and relevance (for public health decision-making). RESULTS: Plausible results were reliably produced, with 'emergencies', 'recognition, 'accessing care' and 'perceived quality' characterising the majority of avoidable deaths. We identified gaps and developed an additional COMCAT 'referral', which accounted for a significant proportion of deaths in sub-group analysis. To support decision-making, data that establish an impetus for action, that can be operationalised into interventions and that capture deaths outside facilities are important. CONCLUSIONS: COMCAT is a pragmatic, scalable approach enhancing functionality of VA providing basic information, not available from other sources, on care seeking and utilisation at and around time of death. Continued development with stakeholders in health systems, civil registration, community and research environments will further strengthen the tool to capture social and health systems drivers of avoidable deaths and promote use in practice settings

Self-Reported Physical Activity in Middle-Aged and Older Adults in Rural South Africa: Levels and Correlates

Little is known about physical activity (PA) levels and correlates in adults from rural settings in South Africa, where a rapid increase in the number of older people and marked disparities in wealth are evident, particularly between those living in rural and urban areas. This paper describes levels of self-reported PA in rural South African men and women and examines factors associated with meeting PA guidelines. Global Physical Activity Questionnaire (GPAQ) data from the Health and Aging in Africa: Longitudinal studies of INDEPTH communities (HAALSI) survey of 5059 adults aged over 40 years were assessed. Logistic regression analyses were used to assess socio-demographic, functional and cognitive capacity, and chronic disease measures associated with PA. In addition, 75.4% (n = 3421) of the participants with valid GPAQ data (n = 4538 of 5059) met the PA guidelines. Factors associated with not the meeting PA guidelines were being male, over the age of 80 years, being in a higher wealth category, obesity, and poorer functional capacity. These findings highlight worthwhile targets for future interventions to maintain or improve PA levels in this population and suggest that intervening earlier within this age range (from 40 years) may be crucial to prevent the ‘spiral of decline’ that characterizes the frailty syndrome

Prevalence and correlates of frailty in an older rural African population:findings from the HAALSI cohort study

Background: Frailty is a key predictor of death and dependency, yet little is known about frailty in sub-Saharan Africa despite rapid population ageing. We describe the prevalence and correlates of phenotypic frailty using data from the Health and Aging in Africa: Longitudinal Studies of an INDEPTH Community cohort. Methods: We analysed data from rural South Africans aged 40 and over. We used low grip strength, slow gait speed, low body mass index, and combinations of self-reported exhaustion, decline in health, low physical activity and high self-reported sedentariness to derive nine variants of a phenotypic frailty score. Each frailty category was compared with self-reported health, subjective wellbeing, impairment in activities of daily living and the presence of multimorbidity. Cox regression analyses were used to compare subsequent all-cause mortality for non-frail (score 0), pre-frail (score 1–2) and frail participants (score 3+). Results: Five thousand fifty nine individuals (mean age 61.7 years, 2714 female) were included in the analyses. The nine frailty score variants yielded a range of frailty prevalences (5.4% to 13.2%). For all variants, rates were higher in women than in men, and rose steeply with age. Frailty was associated with worse subjective wellbeing, and worse self-reported health. Both prefrailty and frailty were associated with a higher risk of death during a mean 17 month follow up for all score variants (hazard ratios 1.29 to 2.41 for pre-frail vs non-frail; hazard ratios 2.65 to 8.91 for frail vs non-frail). Conclusions: Phenotypic frailty could be measured in this older South African population, and was associated with worse health, wellbeing and earlier death

An integrated approach to processing WHO-2016 verbal autopsy data : the InterVA-5 model

Acknowledgements We are grateful for technical discussions with Dr. Erin K. Nichols. Funding There was no specific funding, other than authors’ time at their institutions, for this work. Publication costs were funded by the Health Systems Research Initiative from the Department for International Development (DFID)/ Medical Research Council (MRC)/Wellcome Trust/Economic and Social Research Council (ESRC) (MR/P014844/1). Availability of data and materials The software, demonstration material, datasets and code supporting the conclusions of this article are freely available in the GitHub repository https://github.com/peterbyass/InterVA-5Peer reviewedPublisher PD