基于Optima HIV模型的艾滋病干预投入的成本效果分析

Cost-effectiveness analysis of acquired immunodeficiency syndrome interventions based on Optima HIV model

  • 摘要:
    目的 分析某地区艾滋病防控在不同高危人群、投入水平及分配比例下的成本效果,为艾滋病防控资源优化配置提供参考依据。
    方法 收集2018—2024年某地区研究目标人群的人口学、流行病学、临床进展等参数,以及人类免疫缺陷病毒(HIV)干预项目的投入成本及干预覆盖率数据。应用Optima HIV模型进行拟合,并预测分析未来在不同的干预投入情况下,优化干预人群、项目措施的投入分配,对降低HIV新发感染和相关死亡所产生的效果。
    结果 预测在保持现有的重点人群干预投入水平下,到2030年该地区HIV新发感染和相关死亡将持续控制在低水平;在重点人群干预投入方面,提示适当提高HIV重点人群干预投入,将进一步降低该地区HIV新发感染和HIV相关死亡,当总投入增加至1.75倍时,将呈现投入-效果的边际效应饱和。在干预投入结构优化方面,提示在保持现有干预投入和1.75倍干预投入的两种场景下,提高对重点人群(MSM人群等)干预投入,同时进一步加大安全套推广使用等干预措施投入,形成优化的干预组合方案,预计均将进一步降低该地区HIV新发感染和HIV相关死亡。
    结论 在艾滋病防控领域,持续保障艾滋病干预投入力度,聚焦重点人群干预,强化关键干预措施,将有助于进一步提升艾滋病防控工作成效。

     

    Abstract:
    Objective To assess the cost-effectiveness of human immunodeficiency virus (HIV) prevention and control strategies across different high-risk populations, investment levels, and allocation proportions in an area, thereby providing a reference for optimizing resource allocation in acquired immunodeficiency syndrome (AIDS) prevention and control.
    Methods Demographic, epidemiological, and clinical progression data of the target population in an area from 2018 to 2024 were collected, along with the input costs and intervention coverage of HIV-related projects. The Optima HIV model was utilized to perform fitting and prediction, whereby the allocation of resources to optimized target populations and program interventions was modeled under varying future investment scenarios to predict the impacts on the reduction of new HIV infections and HIV-related deaths.
    Results Under the scenario of maintaining the current level of intervention input for HIV key populations, new HIV infections and related deaths in the region were predicted to be controlled at a low level by 2030. In terms of intervention input for HIV key populations, it is suggested that appropriately increasing the intervention input for key HIV populations will further reduce new HIV infections and HIV-related deaths in the region. However, when the total input increases to 1.75 times the baseline level, the marginal effect of input will be saturated. Regarding structural adjustments in investment and considering both the current total investment scenario and 1.75 times the total investment scenario, it is predicted that further reductions in regional HIV new infections and HIV-related deaths can be achieved, provided that the intervention input for key populations (including men who have sex with men, MSM) is increased, while concurrently intensifying the proportion of intervention measures such as condom promotion to form optimized intervention portfolios.
    Conclusion In the field of HIV/ AIDS prevention and control, sustained commitment to intervention investment, with a strategic focus on interventions for key populations and intensified implementation of critical intervention measures, will effectively improve the epidemiological impacts of HIV/AIDS prevention and control efforts.

     

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