Evolution of chronic diseases and multimorbidity clusters among the deceased in rural northeast South Africa (2012-2022): Insights from verbal autopsy data

Introduction Rural South Africa is undergoing an epidemiological transition characterised by rising mortality from chronic non-communicable diseases (NCDs) alongside that from persistent infectious diseases. We aimed to investigate trends in the prevalence of chronic disease and multimorbidity clustering among deceased individuals in rural northeast South Africa from 2012 to 2022. Methods Verbal autopsy data for 5,892 deceased individuals collected from the Agincourt Health and socio-Demographic Surveillance System (HDSS) study area in Bushbuckridge, Mpumalanga Province, from 2012–2022 were analysed. We identified reported chronic diseases prior to death and applied cluster analysis, partitioning around medoids (PAM) and latent class analysis (LCA) to identify patterns of co-occurring diseases (multimorbidity clusters). Temporal trends in disease prevalence were assessed using descriptive statistics. Multinomial logistic regression models were used to examine associations of cluster membership with various behavioral factors. Results Over the 11-year period, the prevalence of hypertension among the deceased individuals rose from approximately 25% in 2012 to over 50% by 2022, that of diabetes increased from 10% and reached ~ 25% and that of dementia increased from 1% to over 5%. In contrast, the number of deaths that were reported to have had tuberculosis prior to their deaths declined markedly. Prevalence of HIV remained constant at 20% while that of TB reduced from 23% to 11%. The proportion of deceased individuals with multimorbidity (≥ 2 chronic conditions) increased, and complex multimorbidity (≥ 3 conditions) nearly doubled over time. Over time, multimorbidity clusters shifted from an initial dominance of HIV/TB comorbidity to later patterns dominated by cardiometabolic conditions (hypertension and diabetes), HIV–hypertension, and an emerging neurodegenerative illnesses cluster. Older adults (≥ 65 years) and females experienced the highest multimorbidity burden and were more likely to belong to complex disease clusters. Conclusions Morbidity patterns in this rural population have shifted toward chronic NCDs and multimorbidity. Characterising these trends and identifying disease clusters is essential for targeting patient-centred care early on. Our findings underscore the importance of integrating care for NCDs and infectious diseases in rural health systems to address the growing multimorbidity burden, with particular focus on older adults and women.