Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Prev Med. 2018 Jun;111:135-141. doi: 10.1016/j.ypmed.2018.02.036. Epub 2018 Mar 6.
The recognition of the role of the environment in contributing to the obesity epidemic has led to increasing efforts to address obesity through environmental or place-based approaches in the past decade. This has challenged the use of the quasi-experimental design for evaluating community interventions. The objective of this study is to describe the development of an index of dose of exposure to community interventions that impact early childhood obesity. The goal is to provide an alternative means for evaluating the impact of multiple intervention strategies that target the same community at the same time. Two workgroups developed domains, constructs and protocols for estimating a "community intervention dose index" (CIDI). Information used to develop the protocol came from multiple sources including databases and reports of major funding organizations on obesity-related interventions implemented in Los Angeles County from 2005 to 2015, key informant interviews, and published literature. The workgroups identified five domains relevant to the consideration of dose of exposure to interventions: physical resources, social resources, context, capacity development, and programs and policies; developed a system for classifying programs and policies into macro- and micro-level intervention strategies; and sought ratings of strategy effectiveness from a panel of 13 experts using the Delphi technique, to develop an algorithm for calculating CIDI that considers intervention strength, reach and fidelity. This CIDI can be estimated for each community and used to evaluate the impact of multiple programs that use a myriad of intervention strategies for addressing a defined health outcome.
过去十年中,人们认识到环境在导致肥胖流行方面的作用,因此越来越多地努力通过环境或基于地点的方法来解决肥胖问题。这对评估社区干预措施的准实验设计提出了挑战。本研究的目的是描述开发一种评估社区干预措施对儿童早期肥胖影响的暴露剂量指数的方法。目的是提供一种替代方法,用于评估同时针对同一社区的多种干预策略的影响。两个工作组制定了用于估计“社区干预剂量指数”(CIDI)的领域、结构和协议。用于制定方案的信息来自多个来源,包括数据库和 2005 年至 2015 年在洛杉矶县实施的与肥胖相关的干预措施的主要资助组织的报告、关键知情人访谈和已发表的文献。工作组确定了与考虑干预措施暴露剂量相关的五个领域:物理资源、社会资源、背景、能力建设以及方案和政策;开发了一个系统,用于将方案和政策分类为宏观和微观干预策略;并使用 Delphi 技术从 13 名专家小组中寻求对策略有效性的评分,以制定考虑干预强度、范围和保真度的 CIDI 算法。可以为每个社区估算这个 CIDI,并用于评估使用多种干预策略来解决特定健康结果的多个方案的影响。