Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Departments of Applied Mathematics, University of Washington, Seattle, WA, United States of America.
PLoS One. 2021 Dec 20;16(12):e0260808. doi: 10.1371/journal.pone.0260808. eCollection 2021.
Cost-effectiveness analysis (CEA) is a well-known, but resource intensive, method for comparing the costs and health outcomes of health interventions. To build on available evidence, researchers are developing methods to transfer CEA across settings; previous methods do not use all available results nor quantify differences across settings. We conducted a meta-regression analysis of published CEAs of human papillomavirus (HPV) vaccination to quantify the effects of factors at the country, intervention, and method-level, and predict incremental cost-effectiveness ratios (ICERs) for HPV vaccination in 195 countries. We used 613 ICERs reported in 75 studies from the Tufts University's Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry, and extracted an additional 1,215 one-way sensitivity analyses. A five-stage, mixed-effects meta-regression framework was used to predict country-specific ICERs. The probability that HPV vaccination is cost-saving in each country was predicted using a logistic regression model. Covariates for both models included methods and intervention characteristics, and each country's cervical cancer burden and gross domestic product per capita. ICERs are positively related to vaccine cost, and negatively related to cervical cancer burden. The mean predicted ICER for HPV vaccination is 2017 US$4,217 per DALY averted (95% uncertainty interval (UI): US$773-13,448) globally, and below US$800 per DALY averted in 64 countries. Predicted ICERs are lowest in Sub-Saharan Africa and South Asia, with a population-weighted mean ICER across 46 countries of US$706 per DALY averted (95% UI: $130-2,245), and across five countries of US$489 per DALY averted (95% UI: $90-1,557), respectively. Meta-regression analyses can be conducted on CEA, where one-way sensitivity analyses are used to quantify the effects of factors at the intervention and method-level. Building on all published results, our predictions support introducing and expanding HPV vaccination, especially in countries that are eligible for subsidized vaccines from GAVI, the Vaccine Alliance, and Pan American Health Organization.
成本效益分析(CEA)是一种广为人知但资源密集型的方法,用于比较卫生干预措施的成本和健康结果。为了利用现有证据,研究人员正在开发方法来跨环境转移 CEA;以前的方法没有利用所有可用的结果,也没有量化环境之间的差异。我们对已发表的人乳头瘤病毒(HPV)疫苗接种 CEA 进行了荟萃回归分析,以量化国家、干预措施和方法层面因素的影响,并预测 195 个国家 HPV 疫苗接种的增量成本效益比(ICER)。我们使用了 Tufts 大学成本效益分析(CEA)登记处和全球卫生 CEA 登记处报告的 75 项研究中的 613 个 ICER 以及另外 1215 项单项敏感性分析。采用五阶段混合效应荟萃回归框架预测国家特定的 ICER。使用逻辑回归模型预测每个国家 HPV 疫苗接种是否具有成本效益。这两个模型的协变量包括方法和干预措施的特点,以及每个国家的宫颈癌负担和人均国内生产总值。ICER 与疫苗成本呈正相关,与宫颈癌负担呈负相关。HPV 疫苗接种的平均预测 ICER 为 2017 年每例避免 1 个 DALY 需花费 4217 美元(95%置信区间(UI):773-13448 美元),在 64 个国家中每例避免 1 个 DALY 需花费低于 800 美元。在撒哈拉以南非洲和南亚,预测的 ICER 最低,46 个国家的人口加权平均 ICER 为每例避免 1 个 DALY 需花费 706 美元(95% UI:130-2245 美元),五个国家的 ICER 为每例避免 1 个 DALY 需花费 489 美元(95% UI:90-1557 美元)。可以对 CEA 进行荟萃回归分析,其中单项敏感性分析用于量化干预措施和方法层面因素的影响。基于所有已发表的结果,我们的预测支持引入和扩大 HPV 疫苗接种,尤其是在有资格从全球疫苗免疫联盟(GAVI)、泛美卫生组织获得补贴疫苗的国家。