Karamagi Humphrey Cyprian, Charif Ali Ben, Kidane Solyana Ngusbrhan, Berhane Araia, Nzinga Jacinta, Yohannes Tewelde, Moyo Thandekile Ntombikayise, Sy Sokona, Kipruto Hillary Kipchumba
Data Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
CubecXpert, Quebec City, QC, Canada.
Health Res Policy Syst. 2024 Dec 24;22(1):176. doi: 10.1186/s12961-024-01268-7.
There is widespread enthusiasm for scaling interventions to strengthen health systems. However, little is known about the scalability of such interventions in Africa. In this study, we seek to assess the scalability of interventions for improving the functionality of health systems in Africa, as a key to large-scale implementation strategy of interventions with potential for impact.
The study will deploy a multi-pronged approach, grounded in an integrated knowledge translation (iKT) approach. First, a multidisciplinary steering committee will be established, involving key female and male stakeholders in all stages of our study from its inception and as equal members of the research team for overseeing the project. Second, as part of the RAND/University of California, Los Angeles (UCLA) Appropriateness Method, evidence from a published systematic review will be used to develop the African Scalability Assessment Framework (AFROSAF), a series of multiple attributes for assessing the ability to scale a health system intervention in Africa. Third, the content of the AFROSAF will be validated using Delphi survey (within a deliberative dialogue) following the Lavis' framework for knowledge transfer and a conceptual framework developed by Boyko et al. a multi-stakeholder consensus exercise with experts from Africa will be convened. The Likert scaled scalability attributes developed will be rated and descriptive statistics and hierarchical cluster analysis will be used to synthesize the data. Finally, document analyses will be conducted to rate to which extent each intervention has data that meet criteria responding to the essential components of scalability using the AFROSAF. We will conduct an analysis to score and rank each intervention for scalability.
This project proposes an approach aiming to catalyse the scale of interventions for effective functionality of health systems in Africa. The process will yield a scalability assessment tool for Africa and inventory scalable interventions. The findings will help African countries and policymakers understand the parameters to use and assess health system interventions for scaling.
人们对扩大干预措施以加强卫生系统有着广泛的热情。然而，对于此类干预措施在非洲的可扩展性知之甚少。在本研究中，我们试图评估改善非洲卫生系统功能的干预措施的可扩展性，这是具有潜在影响力的干预措施大规模实施战略的关键。
本研究将采用多管齐下的方法，以综合知识转化（iKT）方法为基础。首先，将成立一个多学科指导委员会，让关键的女性和男性利益相关者参与我们研究的各个阶段，从研究开始就作为研究团队的平等成员来监督项目。其次，作为兰德公司/加利福尼亚大学洛杉矶分校（UCLA）适宜性方法的一部分，将利用已发表的系统评价中的证据来制定非洲可扩展性评估框架（AFROSAF），这是一系列用于评估在非洲扩大卫生系统干预措施能力的多个属性。第三，将按照拉维斯的知识转移框架和博伊科等人开发的概念框架，通过德尔菲调查（在审议对话中）对AFROSAF的内容进行验证，将与来自非洲的专家召开多利益相关者共识研讨会。将对所制定的李克特量表式可扩展性属性进行评分，并使用描述性统计和层次聚类分析来综合数据。最后，将进行文献分析，以根据AFROSAF对每项干预措施拥有符合可扩展性基本要素标准的数据的程度进行评分。我们将进行分析，对每项干预措施的可扩展性进行评分和排名。
本项目提出了一种旨在促进扩大干预措施以实现非洲卫生系统有效功能的方法。该过程将产生一个针对非洲的可扩展性评估工具和可扩展干预措施清单。研究结果将帮助非洲国家和政策制定者了解用于扩大卫生系统干预措施的参数并对其进行评估。
