Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020-2021.

IF 9.6 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
American journal of public health Pub Date : 2024-10-01 Epub Date: 2024-08-28 DOI:10.2105/AJPH.2024.307800
Lauren F Cardoso, Ta-Wei Lin, Justine Egan, Caroline Stack, Sabrina Selk, Elizabeth Beatriz, Ben Wood, Glory Song, Kathleen Fitzsimmons, Emily Sparer-Fine, Abigail Atkins, W W Sanouri Ursprung
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引用次数: 0

Abstract

Objectives. To describe how an innovative, community-engaged survey illuminated previously unmeasured pandemic inequities and informed health equity investments. Methods. The methodological approach of Massachusetts' COVID-19 Community Impact Survey, a cross-sectional online survey, was driven by key health equity principles: prioritizing community engagement, gathering granular and intersectional data, capturing root causes, elevating community voices, expediting analysis for timeliness, and creating data-to-action pathways. Data collection was deployed statewide in 11 languages from 2020 to 2021. Results. The embedded equity principles resulted in a rich data set and enabled analyses of populations previously undescribed. The final sample included 33 800 respondents including unprecedented numbers of populations underrepresented in traditional data sources. Analyses indicated that pandemic impacts related to basic needs, discrimination, health care access, workplace protections, employment, and mental health disproportionately affected these priority populations, which included Asian American/Pacific Islanders and parents. Conclusions. Equity-centered data approaches allow for analyses of populations previously invisible in surveillance data, enable more equitable public health action, and are both possible and necessary to deploy in state health departments. (Am J Public Health. 2024;114(S7):S599-S609. https://doi.org/10.2105/AJPH.2024.307800).

2020-2021 年马萨诸塞州针对大流行病对边缘化社区影响的社区参与调查方法。
目标。描述一项创新的、社区参与的调查如何揭示以前未曾测量过的大流行病不公平现象,并为健康公平投资提供信息。方法。马萨诸塞州的 COVID-19 社区影响调查是一项横断面在线调查,其方法论遵循了主要的健康公平原则:优先考虑社区参与、收集细化和交叉数据、捕捉根本原因、提升社区声音、加快分析的及时性以及创建数据到行动的途径。从 2020 年到 2021 年,在全州范围内使用 11 种语言收集数据。结果。内含的公平原则产生了丰富的数据集,并促成了对以前未曾描述过的人群的分析。最终样本包括 33 800 名受访者,其中包括在传统数据来源中代表性不足的人群,数量之多前所未有。分析表明,与基本需求、歧视、医疗保健、工作场所保护、就业和心理健康相关的大流行影响对这些重点人群的影响尤为严重,其中包括亚裔美国人/太平洋岛民和父母。结论以公平为中心的数据方法可以对以前在监测数据中看不到的人群进行分析,从而采取更公平的公共卫生行动,在州卫生部门部署这种方法是可能的,也是必要的。(Am J Public Health.https://doi.org/10.2105/AJPH.2024.307800).
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American journal of public health
American journal of public health 医学-公共卫生、环境卫生与职业卫生
CiteScore
9.50
自引率
3.90%
发文量
1109
审稿时长
2-4 weeks
期刊介绍: The American Journal of Public Health (AJPH) is dedicated to publishing original work in research, research methods, and program evaluation within the field of public health. The journal's mission is to advance public health research, policy, practice, and education.
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