ObjectiveTo investigate and compare determinates for delayed first presentation to antenatal care (ANC) services.MethodsA cross-sectional study was conducted amongst pregnant women attending their first ANC visit in rural Capricorn District and peri-urban Tlokwe sub-district communities in South Africa. Data collection included questionnaires and medical record abstraction. Bivariate and multivariate analyses assessed factors associated with late ANC presentation.ResultsWe recruited 807 pregnant women. Of these, 51% of rural women and 28% of peri-urban women presented late for first ANC. Rural women were more likely to present late for first ANC (AOR = 2.65; 95% CI 1.98–3.55) and report barriers to accessing ANC services (P<0.0001). Late ANC presentation in rural communities was associated with being married (AOR = 2.36; 95% CI 1.33–4.19), employed (AOR = 1.90; 95% CI 1.03–3.50), <20 years of age (AOR = 2.19; 95% CI 1.10–4.37), and reporting an unplanned pregnancy (AOR = 2.21; 95% CI 1.40–3.50). Late presentation in peri-urban communities was associated with unplanned pregnancy (AOR = 1.67; 95% CI 1.01–2.74), being told to come back later to initiate ANC after presenting early (AOR 0.51; 95% CI 0.30–0.89) and being pregnant for the first time (AOR = 0.56; 95% CI 0.34–0.94)ConclusionBoth rural and peri-urban women had high rates of late presentation for first ANC. However, women in the rural communities were more likely to present late. Unplanned pregnancy was an independent risk factor in both rural and peri-urban communities. Interventions around family planning, especially for adolescent girls and young women, are needed to improve early presentation for ANC.
BackgroundThe largest outbreak of sporotrichosis occurred between 1938 and 1947 in the gold mines of Witwatersrand in South Africa. Here, we describe an outbreak of lymphocutaneous sporotrichosis that was investigated in a South African gold mine in 2011.MethodologyEmployees working at a reopened section of the mine were recruited for a descriptive cross-sectional study. Informed consent was sought for interview, clinical examination and medical record review. Specimens were collected from participants with active or partially-healed lymphocutaneous lesions. Environmental samples were collected from underground mine levels. Sporothrix isolates were identified by sequencing of the internal transcribed spacer region of the ribosomal gene and the nuclear calmodulin gene.Principal FindingsOf 87 male miners, 81 (93%) were interviewed and examined, of whom 29 (36%) had skin lesions; specimens were collected from 17 (59%). Sporotrichosis was laboratory-confirmed among 10 patients and seven had clinically-compatible lesions. Of 42 miners with known HIV status, 11 (26%) were HIV-infected. No cases of disseminated disease were detected. Participants with ≤3 years’ mining experience had a four times greater odds of developing sporotrichosis than those who had been employed for >3 years (adjusted OR 4.0, 95% CI 1.2–13.1). Isolates from 8 patients were identified as Sporothrix schenckii sensu stricto by calmodulin gene sequencing while environmental isolates were identified as Sporothrix mexicana.Conclusions/Significance S. schenckii sensu stricto was identified as the causative pathogen. Although genetically distinct species were isolated from clinical and environmental sources, it is likely that the source was contaminated soil and untreated wood underground. No cases occurred following recommendations to close sections of the mine, treat timber and encourage consistent use of personal protective equipment. Sporotrichosis is a potentially re-emerging disease where traditional, rather than heavily mechanised, mining techniques are used. Surveillance should be instituted at sentinel locations.
SUMMARY Setting: Gauteng, South AfricaObjective: To determine treatment uptake among newly diagnosed multi-drug resistant tuberculosis (MDR-TB) patients and risk markers for non-initiation of treatment. Design:A cross-sectional study was conducted including all newly diagnosed MDR-TB patients in Gauteng province of South Africa in 2011. Socio-demographic and clinical characteristics of those that attended Sizwe hospital, the designated MDR-TB hospital, were extracted from their medical records. District health offices provided data on patients not seen at Sizwe hospital. Univariate and multivariate analysis were used to determine risk markers for non-initiation of treatment.Results: Of the 942 newly diagnosed MDR-TB patients in Gauteng, only 593 (63%) initiated treatment. Of these, 70 (11.8%) did not maintain treatment up to the fourth month. Among the 349 (37%) who did not initiate treatment, 31.2% died and 46.4% 2 could not be accounted for. Referral for laboratory diagnosis from hospitals, health district of laboratory diagnosis, HIV infection and place of residence were independently associated with non-initiation of MDR-TB treatment. Conclusion:Untreated patients continue the transmission of MDR-TB in communities. The study findings highlight the need to identify and target the causes of non-initiation of treatment in specific settings.
Older age, male sex, and non-white race have been reported to be risk factors for COVID-19 mortality. Few studies have explored how these intersecting factors contribute to COVID-19 outcomes. This study aimed to compare demographic characteristics and trends in SARS-CoV-2 admissions and the health care they received. Hospital admission data were collected through DATCOV, an active national COVID-19 surveillance programme. Descriptive analysis was used to compare admissions and deaths by age, sex, race, and health sector as a proxy for socio-economic status. COVID-19 mortality and healthcare utilisation were compared by race using random effect multivariable logistic regression models. On multivariable analysis, black African patients (adjusted OR [aOR] 1.3, 95% confidence interval [CI] 1.2, 1.3), coloured patients (aOR 1.2, 95% CI 1.1, 1.3), and patients of Indian descent (aOR 1.2, 95% CI 1.2, 1.3) had increased risk of in-hospital COVID-19 mortality compared to white patients; and admission in the public health sector (aOR 1.5, 95% CI 1.5, 1.6) was associated with increased risk of mortality compared to those in the private sector. There were higher percentages of COVID-19 hospitalised individuals treated in ICU, ventilated, and treated with supplemental oxygen in the private compared to the public sector. There were increased odds of non-white patients being treated in ICU or ventilated in the private sector, but decreased odds of black African patients being treated in ICU (aOR 0.5; 95% CI 0.4, 0.5) or ventilated (aOR 0.5; 95% CI 0.4, 0.6) compared to white patients in the public sector. These findings demonstrate the importance of collecting and analysing data on race and socio-economic status to ensure that disease control measures address the most vulnerable populations affected by COVID-19.
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