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Data disaggregation: the case of Asian and Pacific Islander data and the role of health sciences librarians
Health disparities within Asian and Pacific Islander (API) communities are often masked due to aggregated data. Lack of adequate data limits required health care services for these communities. While moving forward toward health equity, it is critical that disparities for API communities are acknowl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University Library System, University of Pittsburgh
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830391/ https://www.ncbi.nlm.nih.gov/pubmed/35210974 http://dx.doi.org/10.5195/jmla.2022.1372 |
Sumario: | Health disparities within Asian and Pacific Islander (API) communities are often masked due to aggregated data. Lack of adequate data limits required health care services for these communities. While moving forward toward health equity, it is critical that disparities for API communities are acknowledged and addressed. This article focuses on the issues of aggregated data for API communities followed by suggestions on how health sciences librarians can support and promote better practices for data disaggregation. |
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