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Background: In an attempt to discern lessons to improve future pandemic responses, this study measured the effects of the COVID-19 pandemic on essential public health services (EPHSs) related to primary health care (PHC) and outpatient department (OPD) utilisation, antiretroviral treatment (ART) commencement, drug-susceptible tuberculosis (DS-TB) confirmation and treatment commencement, and Bacillus Calmette-Guérin (BCG) coverage, in the Free State province of South Africa during January 2019 to March 2021., Methods: A pre-post study design comparing EPHS performance between 2019 and 2020/21 was employed. Routinely collected data were analysed. An interrupted time series analysis was used to measure changes in service use and outcomes from January 2019 to March 2021. Median changes were compared using Wilcoxon rank-sum tests. A 5% statistical significance level was considered., Results: Over the study period, the median values for the annual number of PHC visits was 1.80, 55.30% for non-referred OPD visits, 69.40% for ART commencement, 95.10% and 18.70% for DS-TB confirmation and treatment commencement respectively, and 93.70% for BCG coverage. While BCG coverage increased by 5.85% (p = 0.010), significant declines were observed in PHC utilisation (10.53%; p = 0.001), non-referred OPD visits (12.05%; p < 0.001), and ART commencement (9.53%; p = 0.017) rates. Given the importance of PHC in addressing a new pandemic, along with the existing HIV and TB epidemics - as well as the entire quadruple burden of disease - in South Africa, the finding that the PHC utilisation rate statistically significantly decreased in the Free State post-COVID-19 commencement is particularly concerning., Conclusions: The lessons learned from this retrospective review attest to a measure of resilience in EPHS delivery in the Free State in as far as a significant hike in BCG vaccination over the study period, 2019-2020/21 was observed. As evidenced by a decline in PHC service utilisation and the decreased numbers of new patients commencing ART, we also learned that EPHS delivery in the province was fragile., (© 2023. The Author(s).)

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., Funding: South African National Government., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Since 1990, reduction of tuberculosis (TB) mortality has been lower in South Africa than in other high-burden countries in Africa. This research investigated the influence of routinely captured demographic and clinical or programme variables on death in TB patients in the Free State Province., Methods: A retrospective review of case information captured in the Electronic TB register (ETR.net) over the years 2003 to 2012 was conducted. Extracted data were subjected to descriptive and logistic regression analyses. The outcome variable was defined as all registered TB cases with 'died' as the recorded outcome. The variables associated with increased or decreased odds of dying in TB patients were established. The univariate and adjusted odds ratios (OR and AOR) together with their corresponding 95% confidence intervals (CI) were estimated, taking the clustering effect of the districts into account., Results: Of the 190,472 TB cases included in the analysis, 30,991 (16.3%) had 'died' as the recorded treatment outcome. The proportion of TB patients that died increased from 15.1% in 2003 to 17.8% in 2009, before declining to 15.4% in 2012. The odds of dying was incrementally higher in the older age groups: 8-17 years (AOR: 2.0; CI: 1.5-2.7), 18-49 years (AOR: 5.8; CI: 4.0-8.4), 50-64 years (AOR: 7.7; CI: 4.6-12.7), and ≥65 years (AOR: 14.4; CI: 10.3-20.2). Other factors associated with increased odds of mortality included: HIV co-infection (males - AOR: 2.4; CI: 2.1-2.8; females - AOR: 1.9; CI: 1.7-2.1) or unknown HIV status (males - AOR: 2.8; CI: 2.5-3.1; females - AOR: 2.4; CI: 2.2-2.6), having a negative (AOR: 1.4; CI: 1.3-1.6) or a missing (AOR: 2.1; CI: 1.4-3.2) pre-treatment sputum smear result, and being a retreatment case (AOR: 1.3; CI: 1.2-1.4)., Conclusions: Although mortality in TB patients in the Free State has been falling since 2009, it remained high at more than 15% in 2012. Appropriately targeted treatment and care for the identified high-risk groups could be considered.

Little is known about the drivers of two-month sputum smear non-conversion in the South African context. Our study sought to determine these factors in new sputum smear positive tuberculosis (TB) patients in South Africa's Free State Province. A retrospective record review was conducted for all TB patients on treatment between 2003 and 2009. Two-month sputum smear non-conversion was defined by a positive sputum smear result. Data was subjected to univariate, bivariate and regression analyses. Generalized linear regression models were used to estimate the risk for two-month sputum smear non-conversion. Age, pre-treatment sputum smear grading, HIV status and TB disease classification influenced two-month sputum smear non-conversion. Significant associations were thus established between health systems, microbiological, clinical and demographic factors, and two-month sputum smear non-conversion. This study provides program managers with evidence to support the development of more tailored TB care. [ABSTRACT FROM AUTHOR]