Background: Guidelines recommend that before being offered mammography screening, women age 75 years and older be informed of the uncertainty of benefit and potential for harm (e.g., being diagnosed with a breast cancer that would otherwise never have shown up in one's lifetime); however, few older women are informed of the risks of mammography screening and most overestimate its benefits.
Objective: The aim of this study was to learn from women older than age 75 years who have predisposing risk factors for low health literacy (LHL) how they make decisions about mammography screening, whether an existing decision aid (DA) on mammography screening for them was acceptable and helpful, and suggestions for improving the DA.
Methods: We conducted semi-structured interviews with 18 women who were between ages 75 and 89 years and had predisposing risk factors for LHL (i.e., answered somewhat to not at all confident to the health literacy screening question "How confident are you filling out medical forms by yourself?" and/or had an education level of some college or less).
Key Results: Findings indicate that women in this study lacked knowledge and understanding that one can decide on mammography screening based on their personal values. Women were enthusiastic about screening based on an interest in taking care of themselves but rely on their providers for health care decisions. Overall, most women found the DA helpful and would recommend the use of the DA.
Conclusions: Findings from this study provide formative data to test the efficacy of the modified DA in practice. Failing to consider the informational needs of adults with LHL in design of DAs could inadvertently exacerbate existing inequalities in health. It is essential that DAs consider older women's diverse backgrounds and educational levels to support their decision-making. Plain Language Summary: The goal of this research was to understand how women older than age 75 years with risk factors for low health literacy made decisions about getting mammograms, whether an educational pamphlet was helpful, and suggestions for improving it. This research helps in understanding how to involve this population in the process of designing patient-related materials for mammogram decision-making.
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http://dx.doi.org/10.3928/24748307-20210308-01 | DOI Listing |
Jpn J Clin Oncol
January 2025
Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.
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Cancer Res Commun
January 2025
University Hospitals Leuven, Leuven, Belgium.
This study evaluated the association between age at first full-term pregnancy (FFTP) and mammographic breast density (MBD) in postmenopausal women. 1,034 women, age 50-69y, were recruited from the Flemish (Belgium) population-based breast cancer screening program. Participants completed a questionnaire on lifestyle and reproductive factors.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Breast Surgery, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, 758 Hefei Road, Qingdao, 266000, Shandong, China.
With the popularity of breast screening, more and more intraductal papillary lesions (IDPL)were detected by ultrasound or mammography, which is a spectrum of diseases ranging from benign to malignant lesions. Patients with pathological nipple discharge (PND) may indicate IDPL, but it is difficult to clarify their biological characteristics before the operation. As to patients with IDPL without PND, it is even an enormous challenge to differentiate their benign or malignant characteristics.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2025
Lund University, Centre for Mathematical Sciences, Division of Computer Vision and Machine Learning, Lund, Sweden.
Purpose: The survival rate of breast cancer for women in low- and middle-income countries is poor compared with that in high-income countries. Point-of-care ultrasound (POCUS) combined with deep learning could potentially be a suitable solution enabling early detection of breast cancer. We aim to improve a classification network dedicated to classifying POCUS images by comparing different techniques for increasing the amount of training data.
View Article and Find Full Text PDFRev Esp Patol
January 2025
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India. Electronic address:
Background: The diagnosis of breast cancer necessitates a multifaceted approach integrating cytopathological and radiological assessments. The International Academy of Cytology (IAC) Yokohama system and Breast Imaging Reporting and Data System (BI-RADS) are fundamental frameworks in this context. This study aims to evaluate the diagnostic potential of a combined Yokohama-BI-RADS scoring system for breast lesions.
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