Purpose: Prior studies have shown higher screening mammography rates for beneficiaries in capitated managed care Medicare Advantage (MA) plans compared with traditional fee-for-service Medicare. The aim of this study was to explore variation in screening mammography rates at the level of MA managed care plans.
Methods: Using the 2016 MA Healthcare Effectiveness Data and Information Set Public Use File, screening mammography rates were identified for all 385 reporting MA plans. Associations were explored with a range of plan characteristics from this file, as well as from the CMS Part C and Part D Medicare Star Ratings Data File, Medicare Advantage Plan Directory, and Medicare Monthly Enrollment by Plan File.
Results: Overall MA plan screening rates were high (mean, 72.6 ± 9.4%) but varied substantially among plans (range, 14.3%-91.8%). Screening rates were higher in nonprofit versus for-profit plans (77.3% versus 71.8%, P < .001), as well as in health maintenance organization or local preferred provider organization plans versus private fee-for-service or regional preferred provider organization plans (71.9%-73.2% versus 65.5%-66.8%, P = .001). Among parent organizations with five or more plans, screening rates were highest for Kaiser Foundation (median, 88.4%) and lowest for Molina Healthcare (median, 65.3%). Screening rates showed small but significant associations with plans' contract lengths, enrolled populations, and counties served. Screening rates showed strong associations (r = 0.796-0.798) with colorectal cancer screening and annual flu vaccine rates and showed moderate associations (r = 0.283-0.365) with ambulatory and preventive care visits, osteoporosis screenings, body mass index assessments, and nonrecommended prostate-specific antigen screenings after age 70.
Conclusions: Screening mammography rates vary considerably among MA plans. With increased federal interest in promoting the MA program, enhanced transparency will be necessary to ensure appropriate Medicare beneficiary participation decision making.
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http://dx.doi.org/10.1016/j.jacr.2017.01.056 | DOI Listing |
Eur J Radiol Open
June 2025
Radiology Department, National Cancer Institute, Cairo University, Egypt.
Purpose: To investigate the impact of artificial intelligence (AI) reading digital mammograms in increasing the chance of detecting missed breast cancer, by studying the AI- flagged early morphology indictors, overlooked by the radiologist, and correlating them with the missed cancer pathology types.
Methods And Materials: Mammograms done in 2020-2023, presenting breast carcinomas (n = 1998), were analyzed in concordance with the prior one year's result (2019-2022) assumed negative or benign. Present mammograms reviewed for the descriptors: asymmetry, distortion, mass, and microcalcifications.
Cancer Manag Res
January 2025
School of Physics, Universiti Sains Malaysia, Penang, 11800 Gelugor, Malaysia.
Introduction: Breast cancer is a significant worldwide health issue, particularly in Jordan, where early detection via mammography is essential for effective disease management. Despite the little radiation risk associated with mammography, it is crucial to monitor radiation exposure to guarantee patient safety. This study intends to assess skin entrance exposure and compute the Mean Glandular Dose (MGD) in mammography units to determine adherence to established criteria and pinpoint areas for enhancement.
View Article and Find Full Text PDFEur J Cancer
January 2025
Department of Public Health, Erasmus MC, Rotterdam, the Netherlands.
Most breast cancer screening programs rely only on demographic data without considering individual risk factors of the population, which might limit their effectiveness by over- and underscreening specific subgroups. Therefore, the aim of this study is to highlight health and economic disparities in outcomes from such a uniform screening strategy. With the microsimulation model MISCAN, we simulated outcomes of the Dutch screening program considering 16 subgroups varying by their 5-year breast cancer risk and breast density.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine Shanghai 200011, China.
Breast cancer is one of the malignant tumors that seriously threaten women's health, and early diagnosis and detection of breast cancer are crucial for effective treatment. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an important diagnostic tool that allows for the dynamic observation of blood flow characteristics of breast tumors, including small lesions within the affected tissue. Currently, it is widely used in clinical practice and has been shown promising prospects.
View Article and Find Full Text PDFJ Breast Imaging
January 2025
Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Triple-negative breast cancers (TNBCs) are invasive carcinomas that lack ER and PR expression and also lack amplification or overexpression of HER2. Triple-negative breast cancers are histopathologically diverse, with the majority classified as invasive breast carcinomas of no special type with a basal-like profile. Triple-negative breast cancer is the most aggressive molecular subtype of invasive breast carcinoma, with the highest rates of stage-matched mortality and regional recurrence.
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