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Misrepresentation in Data Collection as a Form of Institutional Discrimination.

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Title: Misrepresentation in Data Collection as a Form of Institutional Discrimination.
Authors: Claudio, David (AUTHOR), Comey, Danika Lee (AUTHOR), Aghbashian, Elizabeth (AUTHOR), Moyce, Sally (NURSE)
Source: American Journal of Public Health. Jan2026, Vol. 116 Issue 1, p6-11. 6p.
Subjects: Policy sciences, Medical care use, Health services accessibility, Auditing, Health policy, Early detection of cancer, Cultural competence, Research evaluation, Sample size (Statistics), Responsibility, Race, Acquisition of data, Content mining, Discrimination (Sociology), Public health, Health equity
Abstract: The article discusses the transformation of public health systems by 2045, emphasizing equity, inclusion, and accessibility in cancer-screening programs across the United States. It highlights the importance of comprehensive data collection to identify disparities and improve health outcomes, particularly for marginalized populations such as Hispanic women. The analysis reveals significant discrepancies between state-reported cancer screening data and county-level records in Montana, indicating that institutional discrimination and flawed data practices contribute to health inequities. Recommendations for improving data collection practices include community engagement, culturally competent methods, and regular audits to ensure accurate representation of underserved groups. [Extracted from the article]
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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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Misrepresentation in Data Collection as a Form of Institutional Discrimination.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Claudio%2C+David%22">Claudio, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Comey%2C+Danika+Lee%22">Comey, Danika Lee</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aghbashian%2C+Elizabeth%22">Aghbashian, Elizabeth</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moyce%2C+Sally%22">Moyce, Sally</searchLink> (NURSE)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Jan2026, Vol. 116 Issue 1, p6-11. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Policy+sciences%22">Policy sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care+use%22">Medical care use</searchLink><br /><searchLink fieldCode="DE" term="%22Health+services+accessibility%22">Health services accessibility</searchLink><br /><searchLink fieldCode="DE" term="%22Auditing%22">Auditing</searchLink><br /><searchLink fieldCode="DE" term="%22Health+policy%22">Health policy</searchLink><br /><searchLink fieldCode="DE" term="%22Early+detection+of+cancer%22">Early detection of cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Cultural+competence%22">Cultural competence</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Sample+size+%28Statistics%29%22">Sample size (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Responsibility%22">Responsibility</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Content+mining%22">Content mining</searchLink><br /><searchLink fieldCode="DE" term="%22Discrimination+%28Sociology%29%22">Discrimination (Sociology)</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Health+equity%22">Health equity</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The article discusses the transformation of public health systems by 2045, emphasizing equity, inclusion, and accessibility in cancer-screening programs across the United States. It highlights the importance of comprehensive data collection to identify disparities and improve health outcomes, particularly for marginalized populations such as Hispanic women. The analysis reveals significant discrepancies between state-reported cancer screening data and county-level records in Montana, indicating that institutional discrimination and flawed data practices contribute to health inequities. Recommendations for improving data collection practices include community engagement, culturally competent methods, and regular audits to ensure accurate representation of underserved groups. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=189940324
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2105/AJPH.2025.308249
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 6
        StartPage: 6
    Subjects:
      – SubjectFull: Policy sciences
        Type: general
      – SubjectFull: Medical care use
        Type: general
      – SubjectFull: Health services accessibility
        Type: general
      – SubjectFull: Auditing
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      – SubjectFull: Health policy
        Type: general
      – SubjectFull: Early detection of cancer
        Type: general
      – SubjectFull: Cultural competence
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Sample size (Statistics)
        Type: general
      – SubjectFull: Responsibility
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      – SubjectFull: Race
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Content mining
        Type: general
      – SubjectFull: Discrimination (Sociology)
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Health equity
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    Titles:
      – TitleFull: Misrepresentation in Data Collection as a Form of Institutional Discrimination.
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            NameFull: Claudio, David
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            NameFull: Comey, Danika Lee
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            NameFull: Aghbashian, Elizabeth
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 116
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