Literature DB >> 35718630

Mammography and Decision Aid Use for Breast Cancer Screening in Older Women.

Rachel L Ross1, Karl Rubio1, Hector P Rodriguez2.   

Abstract

INTRODUCTION: Decision aids for breast cancer screening are increasingly being used by physicians, but the association between physician practice decision-aid use and mammography rates remains uncertain. Using national data, this study examines the association between practice-level decision-aid use and mammography use among older women.
METHODS: Physician practice responses to the 2017/2018 National Survey of Healthcare Organizations and Systems (n=1,236) were linked to 2016 and 2017 Medicare fee-for-service beneficiary data from eligible beneficiaries (n=439,684) aged 65-74 years. In 2021, multivariable generalized linear models estimated the association of practice decision-aid use for breast cancer screening and advanced health information technology functions with mammography use, controlling for practice and beneficiary characteristics.
RESULTS: Overall, 60.1% of eligible beneficiaries had a screening mammogram, and 37.3% of physician practices routinely used decision aids for breast cancer screening. In adjusted analyses, advanced health information technology functions (OR=1.19, p=0.04) were associated with mammography use, but practice use of decision aids was not (OR=0.95, p=0.21). Beneficiary clinical and socioeconomic characteristics, including race, comorbidities, Medicare and Medicaid eligibility, and median household income were more strongly associated with mammography use than practice-level decision-aid use or advanced health information technology functions.
CONCLUSIONS: Health information technology‒enabled automation of mammography reminders and other advanced health information technology functions may support mammography, whereas breast cancer decision aids may reduce patients' propensities to be screened through the alignment of their preferences and screening decision. More resources may be needed for decision aids to be routinely implemented to improve solicitation of patient preferences and targeting of mammography services.
Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2022        PMID: 35718630      PMCID: PMC9509405          DOI: 10.1016/j.amepre.2022.04.014

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   6.604


  23 in total

1.  Reliability of medical group and physician performance measurement in the primary care setting.

Authors:  Thomas D Sequist; Eric C Schneider; Angela Li; William H Rogers; Dana Gelb Safran
Journal:  Med Care       Date:  2011-02       Impact factor: 2.983

Review 2.  Breast Cancer Screening via Digital Mammography, Synthetic Mammography, and Tomosynthesis.

Authors:  Ethan O Cohen; Olena O Weaver; Hilda H Tso; Karen E Gerlach; Jessica W T Leung
Journal:  Am J Prev Med       Date:  2019-11-13       Impact factor: 5.043

Review 3.  Current Issues in the Overdiagnosis and Overtreatment of Breast Cancer.

Authors:  Debra L Monticciolo; Mark A Helvie; R Edward Hendrick
Journal:  AJR Am J Roentgenol       Date:  2017-11-01       Impact factor: 3.959

Review 4.  Decision aids for patients facing health treatment or screening decisions: systematic review.

Authors:  A M O'Connor; A Rostom; V Fiset; J Tetroe; V Entwistle; H Llewellyn-Thomas; M Holmes-Rovner; M Barry; J Jones
Journal:  BMJ       Date:  1999-09-18

Review 5.  Shared decision making: examining key elements and barriers to adoption into routine clinical practice.

Authors:  France Légaré; Holly O Witteman
Journal:  Health Aff (Millwood)       Date:  2013-02       Impact factor: 6.301

Review 6.  Screening for breast cancer: an update for the U.S. Preventive Services Task Force.

Authors:  Heidi D Nelson; Kari Tyne; Arpana Naik; Christina Bougatsos; Benjamin K Chan; Linda Humphrey
Journal:  Ann Intern Med       Date:  2009-11-17       Impact factor: 25.391

7.  Web-based decision aids to support breast cancer screening decisions: systematic review and meta-analysis.

Authors:  Lin Yu; Ping Li; Shu Yang; Pingping Guo; Xuehui Zhang; Na Liu; Jie Wang; Wei Zhang
Journal:  J Comp Eff Res       Date:  2020-10-07       Impact factor: 1.744

Review 8.  Interpreting overdiagnosis estimates in population-based mammography screening.

Authors:  Rianne de Gelder; Eveline A M Heijnsdijk; Nicolien T van Ravesteyn; Jacques Fracheboud; Gerrit Draisma; Harry J de Koning
Journal:  Epidemiol Rev       Date:  2011-06-27       Impact factor: 6.222

Review 9.  Benefits and harms of mammography screening.

Authors:  Magnus Løberg; Mette Lise Lousdal; Michael Bretthauer; Mette Kalager
Journal:  Breast Cancer Res       Date:  2015-05-01       Impact factor: 6.466

10.  Women's views on overdiagnosis in breast cancer screening: a qualitative study.

Authors:  Jolyn Hersch; Jesse Jansen; Alexandra Barratt; Les Irwig; Nehmat Houssami; Kirsten Howard; Haryana Dhillon; Kirsten McCaffery
Journal:  BMJ       Date:  2013-01-23
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