Scientists have a powerful role in determining South African government health policy: Unpacking how and why different scientists may suggest very different policies
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Abstract
Appropriate public health policy, and the associated budgetary decisions, are extremely important to society, and rely on expert scientific input. Scientists who provide this input, typically medical researchers alongside statisticians specialising in medical data, are required to produce objective, transparent analysis that will aid the politicians who make these crucial policy decisions. In this article we give examples of how scientists who publish work in the area of public health can overlook critical aspects of data analysis and arrive at inappropriate conclusions not supported by the data. We believe that all data used in such studies should be freely available, and suggest principles that scientists and journals should adhere to in order to ensure that the statistical models used on the data and the conclusions reached on the basis of the statistical analysis have been subjected to intensive interrogation by as large a pool of scientists as possible.
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References
Statement on comments by President Thabo Mbeki and AIDS delivered at UNISA on Wednesday 21 September 2022. Press release issued by the Academy of Science of South Africa, 27 September 2022. Endorsed by SA Medical Research Council Progressive Health Forum.
World Bank. World Bank DataBase. https:/Idata.worldbank.org/indicator /SP.DYN.LE00. FE.IN?locations=ZA (accessed 11 October 2023).
Edoka IP, Stacey NK. Estimating a cost-effectiveness threshold for health care decision- making in South Africa. Health Pol Plan 2020;35(5):546-555 http:s//doi.org.10.1093/ heapol/czz152.
Barr, GD. Estimating a cost-effectiveness threshold for health care decision-making in South Africa – a commentary. Health Pol Plan 2022;37(8):1066-1069. https://doi. org/10.1093/heapol/czac026
Edoka IP, Stacey NK. Response to a commentary by Barr (2022) on Edoka and Stacey (2020) Estimating a cost-effectiveness threshold for healthcare decision-making in South Africa. Health Pol Plan 2022;37(8):1070-1073. https://doi.org/10.1093/heapol/czac049
Matzopoulos RG, Truen S, Bowman B, Corrigall J. The cost of harmful alcohol use in South Africa. S Afr Med J 2014;104(2):127-132. https://doi.org.10.7196/SAMJ.7644
Maguire W, Murphy L. Enhancing value in healthcare: Towards a trans-disciplinary approach. Accounting Auditing Accountability J 2022(epub ahead of print). https://doi. org/10.1108/AAAJ-06-2016-2596
Chu KM, Marco J-L, Owolabi EO, Duvenage R, Mukhetwa L, Lombard C, Parry DH. Trauma trends during COVID-19 alcohol prohibition at a South African regional hospital. Drug Alcohol Rev 2021;41(1):13-19. DOI:10.1111/dar.13310.
Fox SJ, Lachmann M, Tec M, Meyers LA. Real-time pandemic surveillance using hospital admissions and mobility data. BioPhysics Computational Biolog 119(7):e2111870119. https://doi.org/10.1073/pnas.2111870119
Kraemer MUG, Yang CH, Gutierrez B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 2020;368(6490):493-497. https:// doi.org/10.1126/science.abb4218