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1.
SAHARA J ; 21(1): 2318797, 2024 Dec.
Article in English | MEDLINE | ID: mdl-38374664

ABSTRACT

South Africa has been rated as having the most severe HIV epidemic in the world since it has one of the largest populations of people living with HIV (PLHIV). KwaZulu-Natal (KZN) is the epicentre of the HIV epidemic. The HIV test and treat services in the public health sector are critical to managing the epidemic and responding to the increase in HIV infections. The KwaZulu-Natal Department of Health (DOH) commissioned a review of the provision of HIV testing services in the province and aimed to investigate its impact on the HIV positivity rate over a ten-year period. The study was an ecological study design using data extracted from the Department's District Health Information System (DHIS). Descriptive analysis was conducted in addition to ANOVA and multiple regression analysis. The results of this study have shown that the total number of HIV tests conducted over the ten-year period in the province has increased with the highest number of HIV tests being conducted in the 2018/2019 MTEF year. ANOVA analysis indicates that there was a statistically significant difference in the total number of HIV tests conducted and the number of HIV tests per 100 000 population across the province's 11 districts (p < 0.001). Statistically significant differences were observed in the HIV testing rate and in the HIV positivity rate over the period (p < 0.001). Results from multiple regression analysis showed that the HIV testing rate per 100 000 population was the strongest predictor of the HIV positivity rate. HIV positivity among clients correlated negatively with the number of HIV tests conducted per 100 000 population (r = -0.823; p < 0.001) and the HIV testing rate (r = -0.324; p < 0.01). This study has found that HIV testing could have an impact on reducing the positivity rate of HIV in the province and is therefore an effective strategy in curbing the HIV epidemic. The KwaZulu-Natal Department of Health should ensure that strategies for implementing and maintaining HIV testing and treating services should continue at an accelerated rate in order to achieve the first 95 of the UNAIDS 2025 SDG target.


Subject(s)
HIV Infections , Humans , HIV Infections/diagnosis , HIV Infections/epidemiology , Public Health , Cross-Sectional Studies , South Africa/epidemiology , HIV Testing
2.
Glob Public Health ; 18(1): 2227882, 2023 01.
Article in English | MEDLINE | ID: mdl-37403512

ABSTRACT

Universal health coverage (UHC) aims to ensure people have access to the health services they need. Sixteen tracer indicators were developed for implementation by countries to measure UHC in the health system. South Africa uses 15 of the proposed 16 indicators. Operational managers in the public health care sector collect data and report on these indicators at a primary health clinic level. This qualitative study explored the knowledge and attitudes of managers toward data and UHC service indicators in a sub-district in Ugu, KwaZulu-Natal, South Africa. Operational managers saw data collection as information gathering, measuring performance and driving action. They understood UHC indicators as 'health for all' linking them to National Department of Health Strategic plans and saw the value of indicators for health promotion. They found the lack of training, inadequate numeracy skills, requests for data from multiple spheres of government and the indicator targets that they had to reach as challenging and untenable. While operational managers made the link between data, measuring performance and action, the limited training, skills gaps and pressures from higher levels of government may impede their ability to use data for local level planning and decision making.


Subject(s)
Delivery of Health Care , Universal Health Insurance , Humans , South Africa , Government Programs , Attitude
3.
World J Surg ; 47(8): 1940-1945, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37160653

ABSTRACT

BACKGROUND: Trauma remains an important cause of morbidity and mortality in South Africa, but attempts to track the epidemic are often based on mortality data, or derived from individual health facilities. This project is based on the routine collection of trauma data from all public health facilities in the province of KwaZulu-Natal (KZN), between 2012 and 2022. METHODS: Hospital level data on trauma over the past ten years was drawn from the district health information system (DHIS). Data relating to assaults, gunshots and motor vehicle collisions (MVCs) were recorded in the emergency rooms, whilst data on admissions are recorded in the wards and intensive care units. RESULTS: There were 1,263,847 emergency room visits for assaults, gunshots and MVCs over the ten-year period and trauma admissions ranged between four and five percent of the total number of hospital admissions annually. There was a dramatic decrease in trauma presentations and admissions over 2020/2021 as a result of the COVID lockdowns. Over the entire period, intentional injury was roughly twice as frequent as non-intentional injury. Intentional trauma had an almost equal ratio of blunt assault to penetrating assault. Gunshot-related assault increased dramatically over the 2021/2022 collecting period. CONCLUSIONS: The burden of trauma in KZN remains high. The unique feature of this burden is the excessively high rate of intentional trauma in the form of both blunt and penetrating mechanisms. Developing injury-prevention strategies to reduce the burden of interpersonal violence is more difficult than for unintentional trauma.


Subject(s)
COVID-19 , Wounds, Gunshot , Humans , South Africa/epidemiology , COVID-19/epidemiology , Communicable Disease Control , Hospitals , Hospitalization
4.
Lancet HIV ; 8(9): e554-e567, 2021 09.
Article in English | MEDLINE | ID: mdl-34363789

ABSTRACT

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.


Subject(s)
COVID-19/mortality , HIV Infections/epidemiology , Tuberculosis/epidemiology , Anti-Retroviral Agents/therapeutic use , COVID-19/epidemiology , Cohort Studies , Comorbidity , Female , HIV Infections/drug therapy , Hospital Mortality , Humans , Male , Prevalence , Risk Factors , SARS-CoV-2 , South Africa/epidemiology
5.
Injury ; 47(1): 135-40, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26363572

ABSTRACT

INTRODUCTION: In response to the ongoing excessive burden of trauma in South Africa the Data Management and Epidemiology Units of the Department of Health in conjunction with a group of trauma specialists developed a number of trauma data variables for inclusion on the routine District Health Information System (DHIS). The aim of this study is to describe the process followed and review the 2012-2014 data. METHODOLOGY: The variables collected included: total patient numbers assessed in the emergency room with a diagnosis of trauma; the mechanisms of trauma (blunt assault, motor vehicle accident, pedestrian vehicle accident, stab, gunshot wound, other); any trauma patient admitted to a health facility ward/ICU for longer than 12h; and whether the patient required transfer to a higher centre of care. All trauma deaths in hospital were recorded. The severity of trauma was measured using the Emergency Medical Services (EMS) classification of blue code (dead), red code (stretcher case with deranged physiology), yellow code (stretcher case with normal physiology) and green code (able to walk with normal physiology. The DHIS trauma data from April 2012 to March 2014 was reviewed. RESULTS: There were 197,219 emergency room visits for trauma in KZN in the 2013/2014 financial year. This constitutes 27.0% of all emergency room visits. The ratio of intentional to non-intentional injury is 45:55. There were 18,716 admissions to public sector hospitals for trauma in KZN in the 2013/2014 financial year. This constitutes 2.4% of all admissions in the province. There were 1045 inpatient deaths due to trauma in the same period, constituting 2.5% of all inpatient deaths. The overall rate of trauma in KZN was 17 per 1000 population. CONCLUSION: The adapted DHIS has successfully collected essential data that quantify the hospital burden of trauma in KZN province. This has provided the most complete overview of the burden of trauma in the Province. These trauma indicators should remain a permanent part of the DHIS to allow planners to track the trauma epidemic and to institute informed management strategies.


Subject(s)
Emergency Medical Services/statistics & numerical data , Hospitalization/statistics & numerical data , Hospitals , Population Surveillance/methods , Quality Improvement/organization & administration , Trauma Centers/statistics & numerical data , Wounds and Injuries/epidemiology , Data Collection , Health Care Surveys , Health Resources , Health Services Accessibility , Humans , South Africa/epidemiology , Trauma Centers/organization & administration
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