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1.
S Afr Med J ; 113(4): e16505, 2023 03 08.
Article in English | MEDLINE | ID: mdl-37283155

ABSTRACT

BACKGROUND: Since the onset of the COVID­19 pandemic, healthcare resources have been repurposed to focus on COVID­19. Resource reallocation and restrictions to movement that affected general access to care may have inadvertently resulted in undue disruptions in the continuum of care for patients requiring non-COVID­19 healthcare services. OBJECTIVES: To describe the change in pattern of health service use in the South African (SA) private sector. METHODS: We conducted a retrospective study of a nationwide cohort of privately insured individuals. An analysis of claims data was performed for non-COVID­19 related healthcare services provided from April 2020 to December 2020 (year 1 of COVID­19) and April 2021 to December 2021 (year 2 of COVID­19) relative to the same period in 2019 prior to the COVID­19 pandemic in SA. Over and above plotting the monthly trends, we tested for statistical significance of the changes using a Wilcoxon test given the non-normality of all the outcomes. RESULTS: Between April and December 2020, relative to the same period in 2021, and also relative to the same period in 2019, we found a 31.9% (p<0.01) and a 16.6% (p<0.01) reduction in emergency room visits, respectively; a 35.9% (p<0.01) and 20.5% (p<0.01) reduction in medical hospital admissions; a 27.4% (p=0.01) and 13.0% (p=0.03) reduction in surgical hospital admissions; a 14.5% (p<0.01) and 4.1% (p=0.16) reduction in face-to-face general practitioner consultations for chronic members; a 24.9% (p=0.06) and 5.2% (p=0.54) reduction in mammography for female members; a 23.4% (p=0.03) and 10.8% (p=0.09) reduction in Pap smear screenings for female members; a 16.5% (p=0.08) and 12.1% (p=0.27) reduction in colorectal cancer registrations and an 18.2% (p=0.08) and 8.9% (p=0.07) decrease in all oncology diagnoses. Uptake of telehealth services throughout the healthcare delivery system increased by 5 708% in 2020 compared with 2019, and 36.1% for 2021 compared with 2020. CONCLUSION: A significant reduction in emergency room visits, hospital admissions and utilisation of primary care services was observed since the start of the pandemic. Further research is required to understand if there are long-term consequences of delayed care. An increase in the use of digital consultations was observed. Research on their acceptability and effectiveness may open new modalities of care, which may have cost- and time-saving benefits.


Subject(s)
COVID-19 , Humans , Adult , Female , COVID-19/epidemiology , Pandemics , Private Sector , Retrospective Studies , South Africa/epidemiology , Delivery of Health Care
2.
S Afr Med J ; 112(3): 240-244, 2022 03 02.
Article in English | MEDLINE | ID: mdl-35380528

ABSTRACT

BACKGROUND: South Africa (SA) has embarked on a process to implement universal health coverage (UHC) funded by National Health Insurance (NHI). The 2019 NHI Bill proposes creation of a health technology assessment (HTA) body to inform decisions about which interventions NHI funds will cover under UHC. In practice, HTA often relies mainly on economic evaluations of cost-effectiveness and budget impact, with less attention to the systematic, specific consideration of important social, organisational and ethical impacts of the health technology in question. In this context, the South African Values and Ethics for Universal Health Coverage (SAVE-UHC) research project recognised an opportunity to help shape the health priority-setting process by providing a way to take account of multiple, ethically relevant considerations that reflect SA values. The SAVE-UHC Research Team developed and tested an SA-specific Ethics Framework for HTA assessment and analysis. OBJECTIVES: To develop and test an Ethics Framework for use in the SA context for health priority-setting. METHODS: The Framework was developed iteratively by the authors and a multidisciplinary panel (18 participants) over a period of 18 months, using the principles outlined in the 2015 NHI White Paper as a starting point. The provisional Ethics Framework was then tested with multi-stakeholder simulated appraisal committees (SACs) in three provinces. The membership of each SAC roughly reflected the composition of a potential SA HTA committee. The deliberations and dedicated focus group discussions after each SAC meeting were recorded, analysed and used to refine the Framework, which was presented to the Working Group for review, comment and final approval. RESULTS: This article describes the 12 domains of the Framework. The first four (Burden of the Health Condition, Expected Health Benefits and Harms, Cost-Effectiveness Analysis, and Budget Impact) are commonly used in HTA assessments, and a further eight cover the other ethical domains. These are Equity, Respect and Dignity, Impacts on Personal Financial Situation, Forming and Maintaining Important Personal Relationships, Ease of Suffering, Impact on Safety and Security, Solidarity and Social Cohesion, and Systems Factors and Constraints. In each domain are questions and prompts to enable use of the Framework by both analysts and assessors. Issues that arose, such as weighting of the domains and the availability of SA evidence, were discussed by the SACs. CONCLUSIONS: The Ethics Framework is intended for use in priority-setting within an HTA process. The Framework was well accepted by a diverse group of stakeholders. The final version will be a useful tool not only for HTA and other priority-setting processes in SA, but also for future efforts to create HTA methods in SA and elsewhere.


Subject(s)
Health Priorities , Universal Health Insurance , Biomedical Technology , Humans , South Africa , Technology Assessment, Biomedical
3.
S Afr Med J ; 111(10): 950-956, 2021 09 03.
Article in English | MEDLINE | ID: mdl-34949288

ABSTRACT

BACKGROUND: The phenomenon of silent hypoxaemia has been described in patients with COVID-19 pneumonia, which is characterised by low oxygen saturation levels of <90% in those who appear clinically well and do not show signs of significant respiratory distress. OBJECTIVES: To assess the impact on clinical outcomes for high-risk COVID-19 patients using a pulse oximeter to monitor oxygen saturation levels in a home setting. METHODS: We performed a retrospective cohort analysis using data from a large South African insurance administrator. Patients were categorised as high risk, based on age and specific underlying clinical conditions, or from predictive models derived from medical scheme administrative claims data. The impact of pulse oximetry home monitoring on COVID-19 clinical outcomes was investigated by the use of Cox proportional hazard models. RESULTS: Between 2 March 2020 and 31 October 2020, of 38 660 patients analysed, 8 115 were in the intervention group. The 60-day mortality rate for the evaluated high-risk population was 1.35%. After adjusting for age and comorbidity differences, the intervention group was found to have an adjusted hazard ratio of 0.52 (p<0.0001). No statistical significance was found between the intervened and control groups for admission to hospital, admission to intensive care unit (ICU) and use of mechanical ventilation. The intervention group had a lower median C-reactive protein (CRP) level on admission (p=0.03). After adjustment for admission CRP levels, elevated CRP was associated with an increased mortality (p<0.0001), while the statistical significance in mortality between the intervention and the control group was lost. CONCLUSIONS: High-risk COVID-19 patients who used a pulse oximeter to monitor oxygen saturation levels had significantly lower mortality rates compared with other high-risk patients. The mortality benefit may be explained by earlier presentation to hospital, as suggested by lower initial CRP levels.


Subject(s)
COVID-19/physiopathology , Hospitalization/statistics & numerical data , Oximetry/methods , Oxygen Saturation , Adult , C-Reactive Protein/metabolism , COVID-19/mortality , Cohort Studies , Female , Humans , Intensive Care Units/statistics & numerical data , Male , Middle Aged , Respiration, Artificial/statistics & numerical data , Retrospective Studies , Severity of Illness Index , South Africa
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