2 research outputs found

    Intervention with Microfinance for AIDS and Gender Equity (IMAGE): Women's Engagement with the Scaled-up IMAGE Programme and Experience of Intimate Partner Violence in Rural South Africa.

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    The Intervention with Microfinance for AIDS and Gender Equity (IMAGE) programme has been scaled up to three provinces in South Africa. This paper explores associations between women's engagement in the intervention, intimate partner violence (IPV) and factors associated with IPV and partner abuse. We enrolled women receiving group-based microfinance loans plus gender training into the scaled-up IMAGE cohort study (n = 860). We present cross-sectional analysis on participants' characteristics and intervention engagement and use multivariate logistic regression to explore associations. 17% of women reported lifetime (95% CI 15 to 20%) and 7% past year (95% CI 5 to 9%) IPV, 9% past-year economic (95% CI 7 to 11%) and 11% past-year emotional (95% CI 9 to 14%) abuse. Women under 35 years had higher levels of IPV and emotional abuse. 53% of women attended all the trainings, 83% continuously borrowed and 98% agreed the training had a major impact on their life. Attendance was associated with improved partner relationships (χ2p < 0.001), but not lower IPV risk. Odds of past-year IPV decreased the more types of support (e.g. advice) women received from group members (aOR 0.27, p < 0.001 among those reporting all support versus none or some). A similar pattern was seen for economic, but not emotional, abuse. The scaled-up IMAGE intervention is widely acceptable and may support improvements in partner relationships, but younger women need to be targeted. Group support appears to be a potentially important component of the intervention

    Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa : a cohort study

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    BACKGROUND : The interaction between COVID-19, non-communicable diseases, and chronic infectious diseases such as HIV and tuberculosis is unclear, particularly in low-income and middle-income countries in Africa. South Africa has a national HIV prevalence of 19% among people aged 15–49 years and a tuberculosis prevalence of 0·7% in people of all ages. Using a nationally representative hospital surveillance system in South Africa, we aimed to investigate the factors associated with in-hospital mortality among patients with COVID-19. METHODS : In this cohort study, we used data submitted to DATCOV, a national active hospital surveillance system for COVID-19 hospital admissions, for patients admitted to hospital with laboratory-confirmed SARS-CoV-2 infection between March 5, 2020, and March 27, 2021. Age, sex, race or ethnicity, and comorbidities (hypertension, diabetes, chronic cardiac disease, chronic pulmonary disease and asthma, chronic renal disease, malignancy in the past 5 years, HIV, and past and current tuberculosis) were considered as risk factors for COVID-19-related in-hospital mortality. COVID-19 in-hospital mortality, the main outcome, was defined as a death related to COVID-19 that occurred during the hospital stay and excluded deaths that occurred because of other causes or after discharge from hospital; therefore, only patients with a known in-hospital outcome (died or discharged alive) were included. Chained equation multiple imputation was used to account for missing data and random-effects multivariable logistic regression models were used to assess the role of HIV status and underlying comorbidities on COVID-19 in-hospital mortality. FINDINGS : Among the 219 265 individuals admitted to hospital with laboratory-confirmed SARS-CoV-2 infection and known in-hospital outcome data, 51 037 (23·3%) died. Most commonly observed comorbidities among individuals with available data were hypertension in 61 098 (37·4%) of 163 350, diabetes in 43 885 (27·4%) of 159 932, and HIV in 13 793 (9·1%) of 151 779. Tuberculosis was reported in 5282 (3·6%) of 146 381 individuals. Increasing age was the strongest predictor of COVID-19 in-hospital mortality. Other factors associated were HIV infection (adjusted odds ratio 1·34, 95% CI 1·27–1·43), past tuberculosis (1·26, 1·15–1·38), current tuberculosis (1·42, 1·22–1·64), and both past and current tuberculosis (1·48, 1·32–1·67) compared with never tuberculosis, as well as other described risk factors for COVID-19, such as male sex; non-White race; underlying hypertension, diabetes, chronic cardiac disease, chronic renal disease, and malignancy in the past 5 years; and treatment in the public health sector. After adjusting for other factors, people with HIV not on antiretroviral therapy (ART; adjusted odds ratio 1·45, 95% CI 1·22–1·72) were more likely to die in hospital than were people with HIV on ART. Among people with HIV, the prevalence of other comorbidities was 29·2% compared with 30·8% among HIV-uninfected individuals. Increasing number of comorbidities was associated with increased COVID-19 in-hospital mortality risk in both people with HIV and HIV-uninfected individuals. INTERPRETATION : Individuals identified as being at high risk of COVID-19 in-hospital mortality (older individuals and those with chronic comorbidities and people with HIV, particularly those not on ART) would benefit from COVID-19 prevention programmes such as vaccine prioritisation as well as early referral and treatment.DATCOV, as a national surveillance system, is funded by the South African National Institute for Communicable Diseases (NICD) and the South African National Government.http://www.thelancet.com/hivam2022School of Health Systems and Public Health (SHSPH
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