Ebenso Bassey, Manzano Ana, Uzochukwu Benjamin, Etiaba Enyi, Huss Reinhard, Ensor Tim, Newell James, Onwujekwe Obinna, Ezumah Nkoli, Hicks Joe, Mirzoev Tolib
Nuffield Centre for International Health and Development, University of Leeds, Worsley Building, Clarendon Way, Leeds, UK.
School of Sociology and Social Policy, Social Sciences Building, University of Leeds, Leeds, UK.
Eval Program Plann. 2019 Apr;73:97-110. doi: 10.1016/j.evalprogplan.2018.12.002. Epub 2018 Dec 7.
Logic models (LMs) have been used in programme evaluation for over four decades. Current debate questions the ability of logic modelling techniques to incorporate contextual factors into logic models. We share experience of developing a logic model within an ongoing realist evaluation which assesses the extent to which, and under what circumstances a community health workers (CHW) programme promotes access to maternity services in Nigeria. The article contributes to logic modelling debate by: i) reflecting on how other scholars captured context during LM development in theory-driven evaluations; and ii) explaining how we explored context during logic model development for realist evaluation of the CHW programme in Nigeria. Data collection methods that informed our logic model development included documents review, email discussions and teleconferences with programme stakeholders and a technical workshop with researchers to clarify programme goals and untangle relationships among programme elements. One of the most important findings is that, rather than being an end in itself, logic model development is an essential step for identifying initial hypotheses for tentative relevant contexts, mechanisms and outcomes (CMOs) and CMO configurations of how programmes produce change. The logic model also informed development of a methodology handbook that is guiding verification and consolidation of underlying programme theories.
逻辑模型(LMs)已在项目评估中使用了四十多年。当前的争论质疑逻辑建模技术将背景因素纳入逻辑模型的能力。我们分享在一项正在进行的现实主义评估中开发逻辑模型的经验,该评估旨在评估社区卫生工作者(CHW)项目在多大程度上以及在何种情况下促进尼日利亚产妇服务的可及性。本文通过以下方式为逻辑建模争论做出贡献:i)反思其他学者在理论驱动的评估中开发逻辑模型时如何捕捉背景;ii)解释我们在为尼日利亚社区卫生工作者项目的现实主义评估开发逻辑模型时如何探索背景。为我们的逻辑模型开发提供信息的数据收集方法包括文件审查、与项目利益相关者的电子邮件讨论和电话会议,以及与研究人员举行的技术研讨会,以澄清项目目标并理清项目要素之间的关系。最重要的发现之一是,逻辑模型开发本身并非目的,而是识别关于暂定相关背景、机制和结果(CMOs)以及项目如何产生变化的CMO配置的初始假设的重要步骤。逻辑模型还为一本方法手册的开发提供了信息,该手册指导对基础项目理论的验证和巩固。