Browsing by Author "Daniel Ohene-Kwofie"

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    Cohort Profile Migrant Health FollowUp Study MHFUS of internal migration in South Africa
    (OXFORD UNIV PRESS) Carren Ginsburg; Mark Collinson; C Pheiffer; Francesc Gomez-Olive Casas; Sadson Harawa; S McGarvey; Daniel Ohene-Kwofie; AD Foster; T Myroniuk; Stephen Tollman; Michael White; E et al
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    InPerson Social Interactions and Anxiety During the COVID19 Pandemic Exploring the Role of Household Size and Virtual Social Contact Among Midlife and Older Black South African Adults
    (OXFORD UNIV PRESS INC) NW Harriman; Daniel Ohene-Kwofie; SJ Jung; Francesc Gomez-Olive Casas; EA Jennings; S Hermosilla
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    Mortality transition over a quarter century in rural South Africa: findings from population surveillance in Agincourt 1993-2018
    (2021-10-04) Chodziwadziwa Whiteson Kabudula; Brian Houle; Daniel Ohene-Kwofie; Daniel Mahlangu; Nawi Ngd; Hoang Van Minhf; Francesc Xavier Gómez-Olivé; Stephen Tollman; Kathleen Kahn
    Background: Mortality burden in South Africa since the mid-1990s has been characterized by a quadruple disease burden: HIV/AIDS and tuberculosis (TB); other communicable diseases (excluding HIV/AIDS and TB), maternal causes, perinatal conditions and nutritional deficiencies; non-communicable diseases (NCDs); and injuries. Causes from these broad groupings have persistently constituted the top 10 causes of death. However, proportions and rankings have varied over time, alongside overall mortality levels. Objective: To provide evidence on the contributions of age and cause-of-death to changes in mortality levels in a rural South African population over a quarter century (1993–2018). Methods: Using mortality and cause-of-death data from the Agincourt Health and SocioDemographic Surveillance System (HDSS), we derive estimates of the distribution of deaths by cause, and hazards of death by age, sex, and time period, 1993–2018. We derive estimates of life expectancies at birth and years of life expectancy gained at age 15 if most common causes of death were deleted. We compare mortality indicators and cause-of-death trends from the Agincourt HDSS with South African national indicators generated from publicly available datasets. Results: Mortality and cause-of-death transition reveals that overall mortality levels have returned to pre-HIV epidemic levels. In recent years, the concentration of mortality has shifted towards older ages, and the mortality burden from cardiovascular diseases and other chronic NCDs are more prominent as people living with HIV/AIDS access ART and live longer. Changes in life expectancy at birth, distribution of deaths by age, and major cause-of-death categories in the Agincourt population follow a similar pattern to the South African population. Conclusion: The Agincourt HDSS provides critical information about general mortality, causeof-death, and age patterns in rural South Africa. Realigning and strengthening the South African public health and healthcare systems is needed to concurrently cater for the prevention, control, and treatment of multiple disease conditions.
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    Pregnancy-related healthcare utilisation in Agincourt, South Africa, 1993–2018: a longitudinal surveillance study of rural mothers
    (2021-10-01) Sack, Daniel; Ryan G Wagner; Daniel Ohene-Kwofie; Chodziwadziwa W Kabudula; Jessica Price; Carren Ginsburg; Carolyn M Audet
    ntroduction Pregnancy-related health services, an important mediator of global health priorities, require robust health infrastructure. We described pregnancy-related healthcare utilisation among rural South African women from 1993 to 2018, a period of social, political and economic transition. Methods We included participants enrolled in the Agincourt Health and Socio-Demographic Surveillance System in Mpumalanga Province, South Africa, a population-based longitudinal cohort, who reported pregnancy between 1993 and 2018. We assessed age, antenatal visits, years of education, pregnancy intention, nationality, residency status, previous pregnancies, prepregnancy and postpregnancy contraceptive use, and student status over the study period and modelled predictors of antenatal care utilisation (ordinal), skilled birth attendant presence (logistic) and delivery at a health facility (logistic).