Division of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, California.
Division of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, California.
Am J Prev Med. 2022 Oct;63(4):630-635. doi: 10.1016/j.amepre.2022.04.014. Epub 2022 Jun 16.
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.
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.
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.
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.
越来越多的医生开始使用乳腺癌筛查决策辅助工具,但医生使用实践决策辅助工具与乳房 X 光检查率之间的关系仍不确定。本研究利用全国数据,调查了实践层面使用决策辅助工具与老年女性乳房 X 光检查使用之间的关系。
将 2017/2018 年全国医疗保健组织和系统调查(n=1,236)中医生实践的反馈与有资格的受益人(n=439,684)2016 年和 2017 年医疗保险按服务付费受益人的数据相联系,受益人为 65-74 岁。2021 年,多变量广义线性模型估计了实践中使用乳腺癌筛查决策辅助工具和先进健康信息技术功能与乳房 X 光检查使用之间的关联,控制了实践和受益人的特征。
总体而言,60.1%的合格受益人接受了筛查性乳房 X 光检查,37.3%的医生实践常规使用乳腺癌筛查决策辅助工具。在调整后的分析中,先进的健康信息技术功能(OR=1.19,p=0.04)与乳房 X 光检查使用相关,但实践中使用决策辅助工具并无关联(OR=0.95,p=0.21)。受益人的临床和社会经济特征,包括种族、合并症、医疗保险和医疗补助资格以及家庭中位数收入,与乳房 X 光检查使用的相关性强于实践层面决策辅助工具使用或先进的健康信息技术功能。
健康信息技术支持的乳房 X 光检查提醒自动化和其他先进的健康信息技术功能可能支持乳房 X 光检查,而乳腺癌决策辅助工具可能通过调整患者的偏好和筛查决策来降低患者接受筛查的倾向。可能需要更多资源来常规实施决策辅助工具,以改善患者偏好的征集和乳房 X 光检查服务的针对性。