ArticleJournal of primary care & community health
Multilevel Predictive Study of Breast Cancer Screening Patterns in Pennsylvania, 2021-2022.
Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 authors.
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Abstract
purposeThe purpose of this study was to identify personal, systemic, and specifically, geosocial risk factors of breast cancer screening nonadherence and to assess how machine learning techniques can improve cancer screening rates. MATERIALS AND
methodsThe study included 21 543 women aged 50 to 74 with a primary care provider at 15 family medicine clinics in southcentral Pennsylvania between January 1, 2021, and December 31, 2022. Demographics and healthcare utilization data were geocoded to Census blocks for neighborhood socioeconomic measures and analyzed using multiple logistic regression to assess association with adherence to breast cancer screening guidelines. Area deprivation index (ADI) was extracted using machine learning to integrate factors such as poverty, employment, education, and housing quality as a measure.
resultsThe study identified women in minority groups (aOR: 0.659,
conclusionsSocial determinants of health influence a person's likelihood of being screened for breast cancer. Identifying barriers to screening in these individuals, and ways in which they compound, is a crucial step in improving screening adherence.
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