Beckerman-Hsu Jacob P, Aftosmes-Tobio Alyssa, Gavarkovs Adam, Kitos Nicole, Figueroa Roger, Kalyoncu Z Begum, Lansburg Kindra, Yu Xinting, Kazik Crystal, Vigilante Adrienne, Leonard Jessie, Torrico Merieka, Jurkowski Janine M, Davison Kirsten K
Department of Nutrition, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Boston College School of Social Work, McGuinn Hall Room 115, 140 Commonwealth Ave, Chestnut Hill, MA, 02467, USA.
Trials. 2020 Jul 23;21(1):674. doi: 10.1186/s13063-020-04571-0.
Process evaluation can illuminate barriers and facilitators to intervention implementation as well as the drivers of intervention outcomes. However, few obesity intervention studies have documented process evaluation methods and results. Community-based participatory research (CBPR) requires that process evaluation methods be developed to (a) prioritize community members' power to adapt the program to local needs over strict adherence to intervention protocols, (b) share process evaluation data with implementers to maximize benefit to participants, and (c) ensure partner organizations are not overburdened. Co-designed with low-income parents using CBPR, Communities for Healthy Living (CHL) is a family-centered intervention implemented within Head Start to prevent childhood obesity and promote family well-being. We are currently undertaking a randomized controlled trial to test the effectiveness of CHL in 23 Head Start centers in the greater Boston area. In this protocol paper, we outline an embedded process evaluation designed to monitor intervention adherence and adaptation, support ongoing quality improvement, and examine contextual factors that may moderate intervention implementation and/or effectiveness.
This mixed methods process evaluation was developed using the Pérez et al. framework for evaluating adaptive interventions and is reported following guidelines outlined by Grant et al. Trained research assistants will conduct structured observations of intervention sessions. Intervention facilitators and recipients, along with Head Start staff, will complete surveys and semi-structured interviews. De-identified data for all eligible children and families will be extracted from Head Start administrative records. Qualitative data will be analyzed thematically. Quantitative and qualitative data will be integrated using triangulation methods to assess intervention adherence, monitor adaptations, and identify moderators of intervention implementation and effectiveness.
A diverse set of quantitative and qualitative data sources are employed to fully characterize CHL implementation. Simultaneously, CHL's process evaluation will provide a case study on strategies to address the challenges of process evaluation for CBPR interventions. Results from this process evaluation will help to explain variation in intervention implementation and outcomes across Head Start programs, support CHL sustainability and future scale-up, and provide guidance for future complex interventions developed using CBPR.
ClinicalTrials.gov, NCT03334669 . Registered on October 10, 2017.
过程评估能够揭示干预措施实施过程中的障碍与促进因素,以及干预结果的驱动因素。然而,很少有肥胖干预研究记录过程评估方法及结果。基于社区的参与性研究(CBPR)要求开发过程评估方法,以便(a)优先考虑社区成员根据当地需求调整项目的权力,而非严格遵循干预方案;(b)与实施者分享过程评估数据,以使参与者受益最大化;(c)确保合作组织不会负担过重。“健康生活社区”(CHL)是一项以家庭为中心的干预措施,与低收入父母共同采用CBPR设计,在“启智计划”(Head Start)中实施,旨在预防儿童肥胖并促进家庭福祉。我们目前正在进行一项随机对照试验,以测试CHL在大波士顿地区23个“启智计划”中心的有效性。在本方案文件中,我们概述了一项嵌入式过程评估,旨在监测干预措施的依从性和适应性,支持持续的质量改进,并研究可能调节干预措施实施和/或有效性的背景因素。
本混合方法过程评估采用佩雷斯等人评估适应性干预措施的框架进行开发,并按照格兰特等人概述的指南进行报告。经过培训的研究助理将对干预课程进行结构化观察。干预促进者和接受者以及“启智计划”工作人员将完成调查问卷和半结构化访谈。将从“启智计划”行政记录中提取所有符合条件的儿童和家庭的去识别化数据。定性数据将进行主题分析。定量和定性数据将使用三角测量法进行整合,以评估干预措施的依从性、监测适应性,并识别干预措施实施和有效性的调节因素。
采用了一系列多样的定量和定性数据源来全面描述CHL的实施情况。同时,CHL的过程评估将提供一个案例研究,介绍应对CBPR干预措施过程评估挑战的策略。该过程评估的结果将有助于解释不同“启智计划”项目中干预措施实施和结果的差异,支持CHL的可持续性和未来扩大规模,并为未来使用CBPR开发的复杂干预措施提供指导。
ClinicalTrials.gov,NCT03334669。于2017年10月10日注册。