Edberg Mark C, Corey Kristen, Cohen Marcia
George Washington School of Public Health and Health Services, 2175 K Street NW, Washington, DC 20037, USA.
Health Promot Pract. 2011 Nov;12(6):912-22. doi: 10.1177/1524839910362035. Epub 2011 Jun 15.
Racial and ethnic disparities in health have increasingly become a central focus of health promotion efforts. At the community level, however, collecting data and evaluating these programs has been a challenge because of the diversity of populations, community contexts, and health issues as well as a range of capacities for conducting evaluation. This article outlines a qualitative research process used to develop a Web-based standard program performance data reporting system for programs funded by the U.S. Office of Minority Health (OMH), but generally applicable to community-based health promotion programs addressing health disparities. The "core-and-module" data set, known as the Uniform Data Set (UDS), is a Web-based system and is used as the programwide reporting system for OMH. The process for developing the UDS can be used by any agency, locality, or organization to develop a tailored data collection system allowing comparison across projects via an activity-based typology around which data reporting is structured. The UDS model enables the collection of grounded data reflecting community-level steps necessary to address disparities as well as a reporting structure that can guide data collection based on broader frameworks now emerging that specify criteria for measuring progress toward the elimination of health disparities.
健康方面的种族和族裔差异日益成为健康促进工作的核心关注点。然而，在社区层面，由于人群、社区背景和健康问题的多样性以及开展评估的一系列能力，收集数据和评估这些项目一直是一项挑战。本文概述了一个定性研究过程，该过程用于为美国少数族裔健康办公室（OMH）资助的项目开发一个基于网络的标准项目绩效数据报告系统，但通常适用于解决健康差异问题的社区健康促进项目。“核心与模块”数据集，即统一数据集（UDS），是一个基于网络的系统，用作OMH的全项目报告系统。任何机构、地区或组织都可以使用开发UDS的过程来开发一个量身定制的数据收集系统，该系统允许通过围绕数据报告构建的基于活动的类型学对各个项目进行比较。UDS模型能够收集反映解决差异所需社区层面步骤的实际数据，以及一种报告结构，该结构可以根据目前正在出现的更广泛框架指导数据收集，这些框架规定了衡量消除健康差异进展情况的标准。
