Adawiyah Rabiah Al, Saweri Olga P M, Boettiger David C, Applegate Tanya L, Probandari Ari, Guy Rebecca, Guinness Lorna, Wiseman Virginia
The Kirby Institute, University New South Wales, High St, Kensington 2052, New South Wales, Australia.
Population Health and Demography, Papua New Guinea Institute of Medical Research, PO Box 60 Homate Street, Goroka, Papua New Guinea.
Health Policy Plan. 2021 Jun 25;36(6):939-954. doi: 10.1093/heapol/czab030.
Around two-thirds of all new HIV infections and 90% of syphilis cases occur in low- and middle-income countries (LMICs). Testing is a key strategy for the prevention and treatment of HIV and syphilis. Decision-makers in LMICs face considerable uncertainties about the costs of scaling up HIV and syphilis testing. This paper synthesizes economic evidence on the costs of scaling up HIV and syphilis testing interventions in LMICs and evidence on how costs change with the scale of delivery. We systematically searched multiple databases (Medline, Econlit, Embase, EMCARE, CINAHL, Global Health and the NHS Economic Evaluation Database) for peer-reviewed studies examining the costs of scaling up HIV and syphilis testing in LMICs. Thirty-five eligible studies were identified from 4869 unique citations. Most studies were conducted in Sub-Saharan Africa (N = 17) and most explored the costs of rapid HIV in facilities targeted the general population (N = 19). Only two studies focused on syphilis testing. Seventeen studies were cost analyses, 17 were cost-effectiveness analyses and 1 was cost-benefit analysis of HIV or syphilis testing. Most studies took a modelling approach (N = 25) and assumed costs increased linearly with scale. Ten studies examined cost efficiencies associated with scale, most reporting short-run economies of scale. Important drivers of the costs of scaling up included testing uptake and the price of test kits. The 'true' cost of scaling up testing is likely to be masked by the use of short-term decision frameworks, linear unit-cost projections (i.e. multiplying an average cost by a factor reflecting activity at a larger scale) and availability of health system capacity and infrastructure to supervise and support scale up. Cost data need to be routinely collected alongside other monitoring indicators as HIV and syphilis testing continues to be scaled up in LMICs.
所有新增艾滋病毒感染病例中约三分之二以及90%的梅毒病例发生在低收入和中等收入国家(LMICs)。检测是艾滋病毒和梅毒预防与治疗的关键策略。LMICs的决策者在扩大艾滋病毒和梅毒检测规模的成本方面面临着相当大的不确定性。本文综合了关于在LMICs扩大艾滋病毒和梅毒检测干预措施成本的经济证据,以及成本如何随交付规模变化的证据。我们系统地检索了多个数据库(医学文献数据库、经济文献数据库、荷兰医学文摘数据库、循证医学护理数据库、护理学与健康领域数据库、全球健康数据库和英国国家医疗服务体系经济评估数据库),以查找经同行评审的研究,这些研究探讨了在LMICs扩大艾滋病毒和梅毒检测规模的成本。从4869条独特引文中识别出35项符合条件的研究。大多数研究在撒哈拉以南非洲进行(N = 17),且大多数研究探讨了针对普通人群的设施中快速艾滋病毒检测的成本(N = 19)。只有两项研究聚焦于梅毒检测。17项研究为成本分析,17项为成本效益分析,1项为艾滋病毒或梅毒检测的成本效益分析。大多数研究采用建模方法(N = 25),并假设成本随规模呈线性增加。10项研究考察了与规模相关的成本效率,大多数报告了短期规模经济。扩大规模成本的重要驱动因素包括检测接受度和检测试剂盒价格。扩大检测规模的“真实”成本可能会被短期决策框架的使用、线性单位成本预测(即通过一个反映更大规模活动的系数乘以平均成本)以及卫生系统监督和支持扩大规模的能力及基础设施的可用性所掩盖。随着LMICs继续扩大艾滋病毒和梅毒检测规模,成本数据需要与其他监测指标一起定期收集。