提高社区组织的评价能力:来自俄亥俄州公平研究所的经验教训

D. Walker, Matthew J. Depuccio, Jennifer L. Hefner, Cynthia J. Sieck, T. Hogan, A. McAlearney, C. Swoboda, Timothy R. Huerta
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引用次数: 1

摘要

背景:社区组织(cbo)在提供疾病预防和健康促进活动以满足社区卫生需求和改善社区个人健康方面发挥着重要作用。虽然cbo扮演着重要的角色,但由于从这些组织系统地收集数据的基础设施有限,对他们提供的服务的评估受到了阻碍。为了解决这一差距,我们报告了俄亥俄州股权研究所(OEI)数据门户开发的案例研究。OEI是一项全州范围的倡议,支持俄亥俄州的65个社区卫生组织提供3种基于证据的干预措施(即,集中妊娠,社区卫生工作者和家访),以解决服务不足人群的婴儿死亡率问题。方法:采用社区参与的利益相关者研究和以用户为中心的设计原则,我们进行了计划-执行-研究-行动循环,包括对43名关键信息提供者进行半结构化访谈,以改进OEI数据门户的开发、实施和使用。结果:这一过程确定了技术和执行方面的挑战,并提供了改进数据收集系统本身以及将该系统与预算办公室工作流程相结合的机会。这些改进在提交数据的数量和质量方面取得了重大进展,最终有助于正在进行的结果评价工作。结论:我们的研究结果为CBO在参与全州CBO数据评估基础设施开发和实施时所面临的挑战提供了重要的见解。随着俄亥俄州和其他州推动cbo和医疗保健组织之间的合作,领导者应该利用现有的数据收集来促进更全面和有效的流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing Capacity for Evaluation of Community-Based Organizations: Lessons from the Ohio Equity Institute
Background: Community-based organizations (CBOs) play an important role delivering disease prevention and health promotion activities to address community health needs and improve the health of individuals living in their communities. While CBOs play this important role, evaluation of the services they deliver is hampered by limited infrastructure to systematically collect data from these organizations. To address this gap, we report on a case study of the development of the Ohio Equity Institute (OEI) Data Portal. The OEI is a statewide initiative that supports 65 CBOs across Ohio to deliver 3 evidence-based interventions (ie, CenteringPregnancy, Community Health Workers, and Home Visiting) to address infant mortality in underserved populations. Methods: Employing principles of community-engaged stakeholder research and user-centered design, we conducted Plan-Do-Study-Act cycles, including semistructured interviews with 43 key informants, to improve the development, implementation, and use of the OEI Data Portal. Results: This process identified both technical and implementation challenges, and offered opportunities to make improvements to the data collection system itself as well as to the integration of this system with CBO workflows. These improvements yielded significant gains in terms of the quantity and quality of data submission, ultimately contributing to ongoing outcome evaluation efforts. Conclusion: Our findings provide important insight into the challenges experienced by CBOs when participating in a statewide CBO data evaluation infrastructure development and implementation. As Ohio and other states push to expand collaborations between CBOs and health care organizations, leaders should leverage existing data collection to facilitate a more comprehensive and effective process.
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