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
{"title":"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。","authors":"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","doi":"10.2105/AJPH.2024.307800","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objectives.</b> To describe how an innovative, community-engaged survey illuminated previously unmeasured pandemic inequities and informed health equity investments. <b>Methods.</b> 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. <b>Results.</b> 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. <b>Conclusions.</b> 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. (<i>Am J Public Health</i>. 2024;114(S7):S599-S609. https://doi.org/10.2105/AJPH.2024.307800).</p>","PeriodicalId":7647,"journal":{"name":"American journal of public health","volume":" ","pages":"S599-S609"},"PeriodicalIF":9.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11425014/pdf/","citationCount":"0","resultStr":"{\"title\":\"Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020-2021.\",\"authors\":\"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\",\"doi\":\"10.2105/AJPH.2024.307800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objectives.</b> To describe how an innovative, community-engaged survey illuminated previously unmeasured pandemic inequities and informed health equity investments. <b>Methods.</b> 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. <b>Results.</b> 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. <b>Conclusions.</b> 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. (<i>Am J Public Health</i>. 2024;114(S7):S599-S609. https://doi.org/10.2105/AJPH.2024.307800).</p>\",\"PeriodicalId\":7647,\"journal\":{\"name\":\"American journal of public health\",\"volume\":\" \",\"pages\":\"S599-S609\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11425014/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of public health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2105/AJPH.2024.307800\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of public health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2105/AJPH.2024.307800","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020-2021.
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).
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.