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

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Title: Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020–2021.
Authors: Cardoso, Lauren F., Lin, Ta-wei, Egan, Justine, Stack, Caroline, Selk, Sabrina, Beatriz, Elizabeth, Wood, Ben, Song, Glory, Fitzsimmons, Kathleen, Sparer-Fine, Emily, Atkins, Abigail, Ursprung, W.W. Sanouri
Source: American Journal of Public Health. 2024 Suppl 7, Vol. 114, pS599-S609. 11p.
Subjects: Health services accessibility, Cross-sectional method, Community support, Parents, Research funding, Mental health, Asian Americans, At-risk people, Investments, Work environment, Communities, Surveys, Health planning, Pacific Islander Americans, Health equity, Discrimination (Sociology), COVID-19 pandemic, Patients' attitudes, Patient participation, Industrial safety, Employment
Geographic Terms: Massachusetts
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. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020–2021.
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. 2024 Suppl 7, Vol. 114, pS599-S609. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Massachusetts%22">Massachusetts</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2105/AJPH.2024.307800
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: S599
    Subjects:
      – SubjectFull: Health services accessibility
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Community support
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      – SubjectFull: Parents
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      – SubjectFull: Research funding
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      – SubjectFull: Mental health
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      – SubjectFull: Asian Americans
        Type: general
      – SubjectFull: At-risk people
        Type: general
      – SubjectFull: Investments
        Type: general
      – SubjectFull: Work environment
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      – SubjectFull: Communities
        Type: general
      – SubjectFull: Surveys
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      – SubjectFull: Health planning
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      – SubjectFull: Pacific Islander Americans
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      – SubjectFull: Health equity
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      – SubjectFull: Discrimination (Sociology)
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      – SubjectFull: COVID-19 pandemic
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      – SubjectFull: Patients' attitudes
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      – SubjectFull: Patient participation
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      – SubjectFull: Industrial safety
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      – SubjectFull: Employment
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      – SubjectFull: Massachusetts
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      – TitleFull: Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020–2021.
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