Buetti David, Fitzgerald Michael, Barber Cassandra, Labelle Patrick R, Bourgeois Isabelle, Aubry Tim, Cameron Erin, Kendall Claire E
School of Public Health, Université de Montréal, Canada.
Bruyère Research Institute, Canada.
Eval Health Prof. 2025 Sep;48(3):363-373. doi: 10.1177/01632787241281745. Epub 2024 Sep 8.
Contribution Analysis (CA) is a promising theory-based evaluation approach for complex interventions, yet its application in health interventions remains largely unexplored. To bridge this gap, we conducted a scoping review to examine the extent of such applications and the methodologies, strengths, and limitations of this approach in health programming. Our comprehensive search strategy was developed and used in 15 databases to identify peer-reviewed articles from 1999 to 2023 that focused on using CA to evaluate health interventions. We then implemented rigorous double- and triple-screening processes for abstracts and full-text papers, respectively. Data were extracted and narratively summarized. Our review found seven relevant studies, which showed that CA has been employed in health promotion programs, health policies, and targeted health issues such as nutrition, cardiovascular disease, substance misuse, and suicide prevention. The studies identified strengths of using CA, including its flexible impact evaluation approach, capacity to inform decision-making, and potential to enhance understanding of health programs and policies. However, challenges such as how to determine suitable evidence levels and how to best manage resource intensity were also identified. The limited number of studies indicates that CA is still a novel approach, whereas the variation in the reporting of the studies suggests that this approach could benefit from more standardized methods and detailed stakeholder engagement strategies.
贡献分析(CA)是一种针对复杂干预措施的、基于理论的、很有前景的评估方法,但其在健康干预中的应用在很大程度上仍未得到探索。为了弥补这一差距,我们进行了一项范围综述,以研究此类应用的程度以及该方法在健康规划中的方法、优势和局限性。我们制定了全面的检索策略,并在15个数据库中使用,以识别1999年至2023年期间专注于使用CA评估健康干预措施的同行评审文章。然后,我们分别对摘要和全文论文实施了严格的双筛和三筛流程。提取数据并进行叙述性总结。我们的综述发现了七项相关研究,这些研究表明CA已被应用于健康促进项目、健康政策以及营养、心血管疾病、药物滥用和自杀预防等特定健康问题。这些研究确定了使用CA的优势,包括其灵活的影响评估方法、为决策提供信息的能力以及增强对健康项目和政策理解的潜力。然而,也发现了一些挑战,比如如何确定合适的证据水平以及如何最好地管理资源强度。研究数量有限表明CA仍是一种新方法,而研究报告的差异表明这种方法可能受益于更标准化的方法和详细的利益相关者参与策略。