Centre Population et Développement (IRD, Université Paris Cité, Inserm ERL 1244 SAGESUD), 75006, Paris, France.
Institut de recherche pour le développement, Marseille, France.
Syst Rev. 2022 May 6;11(1):87. doi: 10.1186/s13643-022-01970-z.
Combination prevention is currently considered the best approach to combat HIV epidemic. It is based upon the combination of structural, behavioral, and biomedical interventions. Such interventions are frequently implemented in a health-promoting manner due to their aims, the approach that was adopted, and their complexity. The impact evaluation of these interventions often relies on methods inherited from the biomedical field. However, these methods have limitations and should be adapted to be relevant for these complex interventions. This systematic review aims to map the evidence-based methods used to quantify the impact of these interventions and analyze how these methods are implemented.
Three databases (Web of Science, Scopus, PubMed) will be used to identify impact evaluation studies of health promotion interventions that aimed at reducing the incidence or prevalence of HIV infection. Only studies based on quantitative design assessing intervention impact on HIV prevalence or incidence will be included. Two reviewers will independently screen studies based on titles and abstracts and then on the full text. The information about study characteristics will be extracted to understand the context in which the interventions are implemented. The information specific to quantitative methods of impact evaluation will be extracted using items from the Mixed Methods Appraisal Tool (MMAT), the guidelines for reporting Statistical Analyses and Methods in the Published Literature (SAMPL), and the guidelines for Strengthening The Reporting of Empirical Simulation Studies (STRESS). This review will be conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement.
The impact evaluation of HIV prevention interventions is a matter of substantial importance given the growing need for evidence of the effectiveness of these interventions, whereas they are increasingly complex. These evaluations allow to identify the most effective strategies to be implemented to fight the epidemic. It is therefore relevant to map the methods to better implement them and adapt them according to the type of intervention to be evaluated.
PROSPERO CRD42020210825.
联合预防目前被认为是对抗艾滋病毒流行的最佳方法。它基于结构、行为和生物医学干预的结合。由于这些干预措施的目的、采用的方法和复杂性，它们经常以促进健康的方式实施。这些干预措施的影响评估通常依赖于从生物医学领域继承的方法。然而，这些方法存在局限性，应该根据干预措施的类型进行调整，以使其具有相关性。本系统评价旨在绘制用于量化这些干预措施影响的循证方法，并分析这些方法的实施情况。
将使用三个数据库（Web of Science、Scopus、PubMed）来识别旨在降低艾滋病毒感染发病率或流行率的健康促进干预措施的影响评估研究。仅包括基于评估干预措施对艾滋病毒流行率或发病率影响的定量设计研究。两名审查员将根据标题和摘要以及全文独立筛选研究。将提取有关研究特征的信息，以了解干预措施实施的背景。将使用混合方法评估工具（MMAT）、发表文献中统计分析和方法报告指南（SAMPL）和实证模拟研究报告加强指南（STRESS）中的项目提取影响评估的定量方法的信息。本综述将按照系统评价和荟萃分析的首选报告项目（PRISMA）声明进行。
鉴于对这些干预措施有效性的证据的需求不断增加，艾滋病毒预防干预措施的影响评估是一个非常重要的问题，而这些干预措施变得越来越复杂。这些评估有助于确定要实施的最有效策略，以抗击艾滋病流行。因此，有必要绘制方法图，以便更好地实施这些方法，并根据要评估的干预措施类型对其进行调整。
PROSPERO CRD42020210825。
