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首页> 外文期刊>Health promotion practice >Using a qualitative approach to develop an evaluation data set for community-based health promotion programs addressing racial and ethnic health disparities.
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Using a qualitative approach to develop an evaluation data set for community-based health promotion programs addressing racial and ethnic health disparities.

机译:使用定性方法为基于种族的健康促进计划建立评估数据集,以解决种族和族裔健康差异。

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摘要

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.
机译:健康方面的种族和种族差异已日益成为促进健康工作的重点。但是,在社区一级,由于人口,社区背景和健康问题的多样性以及进行评估的能力范围广泛,收集数据和评估这些计划一直是一个挑战。本文概述了定性研究过程,该过程用于为由美国少数民族健康办公室(OMH)资助的计划开发基于Web的标准计划绩效数据报告系统,但通常适用于解决健康差异的基于社区的健康促进计划。被称为统一数据集(UDS)的“核心和模块”数据集是基于Web的系统,并用作OMH的全程序报告系统。任何机构,地区或组织都可以使用开发UDS的过程来开发量身定制的数据收集系统,从而允许通过基于活动的类型进行跨项目的比较,在该类型的基础上构建数据报告。 UDS模型可以收集反映解决差异所必需的社区级步骤的基础数据,以及可以指导基于目前正在出现的更广泛框架的数据收集结构的报告结构,这些框架规定了衡量消除卫生差异的标准。

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