期刊
PLOS ONE
卷 12, 期 10, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0186557
关键词
-
资金
- American people through the United States Agency for International Development (USAID) [674-A-00-09-00018-00, GHS-A-00-03-00020, AID 674-A-12-00029, 674-A-00-02-00018]
- National Institute of Allergy and Infectious Diseases [K01A1083097]
Background We were tasked by the South African Department of Health to assess the cost implications to the largest ART programme in the world of adopting sets of ART guidelines issued by the World Health Organization between 2010 and 2016. Methods Using data from large South African ART clinics (n = 24,244 patients), projections of patients in need of ART, and cost data from bottom-up cost analyses, we constructed a populationlevel health-state transition model with 6-monthly transitions between health states depending on patients' age, CD4 cell count/percentage, and, for adult first-line ART, time on treatment. Findings For each set of guidelines, the modelled increase in patient numbers as a result of prevalence and uptake was substantially more than the increase resulting from additional eligibility. Under each set of guidelines, the number of people on ART was projected to increase by 31 -133% over the next seven years, and cost by 84-175%, while increased eligibility led to 1 - 26% more patients, and 1-17% higher cost. The projected increases in treatment cost due to the 2010 and the 2015 WHO guidelines could be offset in their entirety by the introduction of cost-saving measures such as opening the drug tenders for international competition and task-shifting. Under universal treatment, annual costs of the treatment programme will decrease for the first time from 2024 onwards. Conclusions Annual budgetary requirements for ART will continue to increase in South Africa until universal treatment is taken to full scale. Model results were instrumental in changing South African ART guidelines, more than tripling the population on treatment between 2009 and 2017, and reducing the per-patient cost of treatment by 64%.
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