West Virginia University College of Physical Activity and Sport Sciences, PO Box 6116, Morgantown, WV 26506-6116, USA.
Prev Chronic Dis. 2010 May;7(3):A46. Epub 2010 Apr 15.
Evaluations of weight management programs in real-world settings are lacking. The RE-AIM model (reach, effectiveness, adoption, implementation, maintenance) was developed to address this deficiency. Our primary objective was to evaluate a 12-week insurance-sponsored weight management intervention by using the RE-AIM model, including short-term and long-term individual outcomes and setting-level implementation factors. Our secondary objective was to critique the RE-AIM model and its revised calculation methods.
We created operational definitions for components of the 5 RE-AIM indices and used standardized effect size values from various statistical procedures to measure multiple components or outcomes within each index. We used chi(2) analysis to compare categorical variables and repeated-measures analysis of variance to assess the magnitude of outcome changes over time.
On the basis of data for 1,952 participants and surveys completed by administrators at 23 sites, RE-AIM indices ranging from 0 to 100 revealed low program reach and adoption (5.4 and 8.8, respectively), moderate effectiveness (43.8), high implementation (91.4), low to moderate individual maintenance (21.2), and moderate to high site maintenance (77.8). Median (interquartile range) weight loss was 13 lb (6.5-21.4 lb) among participants who completed phase I (12 weeks; 76.5%) and 15 lb (6.1-30.3 lb) among those who completed phase II (1 year; 45.7%).
This program had a significant, positive effect on participants and has been sustainable but needs to be expanded for more public health benefit. The RE-AIM model provided a useful framework to determine program strengths and weaknesses and to present them to the insurance agency and public health decision makers.
现实环境中缺乏对体重管理项目的评估。RE-AIM 模型(涵盖范围、效果、采用率、实施情况和维持情况)的提出就是为了解决这一不足。我们的主要目标是利用 RE-AIM 模型评估一项为期 12 周的、由保险公司赞助的体重管理干预措施,包括短期和长期的个体结果以及设定层面的实施因素。我们的次要目标是对 RE-AIM 模型及其修订后的计算方法进行评价。
我们为 5 个 RE-AIM 指数的组成部分创建了操作性定义,并使用来自不同统计程序的标准化效应量值来衡量每个指数中的多个组成部分或结果。我们使用卡方检验比较分类变量,使用重复测量方差分析评估结果随时间的变化幅度。
基于 1952 名参与者的数据和 23 个地点的管理员完成的调查,RE-AIM 指数范围从 0 到 100 显示出项目涵盖范围和采用率低(分别为 5.4 和 8.8),效果中等(43.8),实施情况高(91.4),个体维持率低至中等(21.2),地点维持率中等至高(77.8)。完成第 1 阶段(12 周;76.5%)的参与者的中位数(四分位间距)体重减轻量为 13 磅(6.5-21.4 磅),完成第 2 阶段(1 年;45.7%)的参与者的中位数(四分位间距)体重减轻量为 15 磅(6.1-30.3 磅)。
该项目对参与者有显著的积极影响,且具有可持续性,但需要扩大规模以产生更大的公共卫生效益。RE-AIM 模型为确定项目的优势和劣势并向保险公司和公共卫生决策者展示提供了有用的框架。