Prochaska John D, Buschmann Robert N, Jupiter Daniel C
Department of Preventive Medicine & Community Health, University of Texas Medical Branch, Galveston, Texas, USA.
Community-University Partnership for the Study of Children, Youth and Families, Faculty of Extension, University of Alberta, Edmonton, AB, Canada.
Cities Health. 2020;4(3):345-352. doi: 10.1080/23748834.2019.1654280. Epub 2019 Aug 29.
Health Impact Assessments (HIAs) have quickly become a widely utilized tool for integrating health and health-related evidence and data into decision making processes across a range of projects and polices. Integrating and utilizing the wide range of available data can be daunting. To support communities seeking to engage in health impact assessments, we developed the Neighborhood Potential Health Impact Score (NPHIS) methodology. We present the NPHIS method's four step process, and how this process was applied to an HIA focusing on the rebuilding of public housing following a natural disaster. We discuss developing the boundary definition, selection and definition of indicators, calculation of the NPHIS, and interpretation and utilization of the scores. Findings were validated using feedback from a community stakeholder advisory board as well as through feedback collected from focus groups of community residents. NPHIS methodology has proven to be a useful resource in better understanding the complex sources of potential health impacts facing communities, and in being an evidence-based, data-driven resource for HIA decision-makers and their stakeholders in our specific application. Other groups seeking to integrate similar data into their decision-making processes could benefit from replicating the NPHIS in their efforts.
健康影响评估(HIAs)已迅速成为一种广泛应用的工具,可将健康及与健康相关的证据和数据纳入一系列项目和政策的决策过程。整合和利用大量可用数据可能具有挑战性。为了支持寻求开展健康影响评估的社区,我们开发了邻里潜在健康影响评分(NPHIS)方法。我们介绍了NPHIS方法的四个步骤,以及该过程如何应用于一项聚焦自然灾害后公共住房重建的健康影响评估。我们讨论了边界定义的制定、指标的选择和定义、NPHIS的计算以及分数的解释和利用。研究结果通过社区利益相关者咨询委员会的反馈以及从社区居民焦点小组收集的反馈进行了验证。在我们的具体应用中,NPHIS方法已被证明是一种有用的资源,有助于更好地理解社区面临的潜在健康影响的复杂来源,并为健康影响评估决策者及其利益相关者提供基于证据、数据驱动的资源。其他寻求将类似数据纳入其决策过程的团体可以通过在其工作中复制NPHIS而受益。