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. |
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| 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] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| 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] |
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| ISSN: | 00900036 |
| DOI: | 10.2105/AJPH.2025.308249 |
