Purpose: In this study, we examined the relationship between health-related social needs (HRSNs) and screening mammography.
Methods: We gathered data from April 2020 to February 2021 among women ages 52-74 years at a federally qualified community health center network in the Chicago region. We measured HRSNs using a one-item screener, and among those screening positive, with an eight-item questionnaire. Screening mammography was measured as (1) ever having mammography and (2) mammography completed in the past 2 years. We examined the relationship between HRSNs in the one-item and multi-item questionnaires and both measures of screening mammography using logistic regression.
Results: Among 3711 women, mean age was 60 years, 68% were Hispanic/Latino, 62% were best served in Spanish, 39% had no insurance, and 71% had incomes <100% federal poverty level. In total, 32% reported an HRSN in the one-item screener. Of these, 74% completed the multi-item questionnaire; changes in income (60%) and inadequate access to food (46%) were the most common HRSNs reported. Overall, 65% reported prior mammography and 47% reported mammography in the past 2 years. There was an association between prior mammography and the one-item screener (odds ratio = 0.83, 95% confidence intervals = 0.70, 0.98), but no association between recent mammography and HRSNs reported in the one-item, specific HRSNs, or number of HRSNs.
Conclusions: We found an association between ever having a mammogram and a positive one-item screener, but not in relation to specific HRSNs. The findings of this study may inform future assessments of HRSNs and understanding their relationships with preventive health care.
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http://dx.doi.org/10.1089/whr.2024.0059 | DOI Listing |
Womens Health (Lond)
January 2025
Department of Pharmacy Practice, Midwestern University College of Pharmacy, Glendale Campus, Glendale, AZ, USA.
In 2023, a breast cancer risk assessment and a subsequent positive test for the BRCA-2 genetic mutation brought me to the uncomfortable intersection of a longstanding career as an advocate for high-quality medical evidence to support shared patient-provider decision making and a new role as a high-risk patient. My search for studies of available risk-management options revealed that the most commonly recommended approach for women with a ⩾20% lifetime breast cancer risk, intensive screening including annual mammography and/or magnetic resonance imaging beginning at age 25-40 years, was supported only by cancer-detection statistics, with almost no evidence on patient-centered outcomes-mortality, physical and psychological morbidity, or quality of life-compared with standard screening or a surgical alternative, bilateral risk-reducing mastectomy. In this commentary, I explore parallels between the use of the intensive screening protocol and another longstanding women's health recommendation based on limited evidence, the use of hormone therapy (HT) for postmenopausal chronic disease prevention, which was sharply curtailed after the publication of the groundbreaking Women's Health Initiative trial in 2002.
View Article and Find Full Text PDFAJR Am J Roentgenol
January 2025
Department of Surgery, the Netherlands Cancer Institute, Amsterdam, the Netherlands.
AJR Am J Roentgenol
January 2025
UPMC Magee-Womens Hospital of UPMC, Pittsburgh, PA, USA 15213.
AJR Am J Roentgenol
January 2025
Department of Radiology, Division of Breast Imaging and Intervention, Mayo Clinic, Phoenix, AZ.
Contrast-enhanced mammography (CEM) is growing in clinical use due to its increased sensitivity and specificity compared to full-field digital mammography (FFDM) and/or digital breast tomosynthesis (DBT), particularly in patients with dense breasts. To perform an intraindividual comparison of MGD between FFDM, DBT, a combination protocol using both FFDM and DBT (combined FFDM-DBT), and CEM, in patients undergoing breast cancer screening. This retrospective study included 389 women (median age, 57.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Bayern, Germany.
Purpose: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, attention-guided erasing (AGE), across various transfer learning classification tasks for breast abnormality classification in mammography.
Methods: AGE utilizes attention head visualizations from DINO self-supervised pretraining to weakly localize regions of interest (ROI) in images.
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