Physician Recommendations Trump Patient Preferences in Prostate Cancer Treatment Decisions

Author:

Scherr Karen A.12345,Fagerlin Angela12345,Hofer Timothy12345,Scherer Laura D.12345,Holmes-Rovner Margaret12345,Williamson Lillie D.12345,Kahn Valerie C.12345,Montgomery Jeffrey S.12345,Greene Kirsten L.12345,Zhang Biqi12345,Ubel Peter A.12345

Affiliation:

1. Fuqua School of Business and School of Medicine, Duke University, Durham, NC, USA (KAS)

2. Departments of Internal Medicine and Psychology, Center for Bioethics and Sciences in Medicine, University of Michigan Ann Arbor, The Ann Arbor VA Center for Clinical Management Research, Ann Arbor, MI, USA (AF)

3. Division of Internal Medicine, University of Michigan Ann Arbor, The Ann Arbor VA HSR&D Center for Practice Management and Outcomes Research, Ann Arbor, MI, USA (TH)

4. Department of Psychological Sciences, University of Missouri, Columbia, MO, USA (LDS)

5. Department of Medicine and Center for Ethics and Humanities in the Life Sciences, Michigan State University, East Lansing, MI, USA (MH-R)

Abstract

Objective. To assess the influence of patient preferences and urologist recommendations in treatment decisions for clinically localized prostate cancer. Methods. We enrolled 257 men with clinically localized prostate cancer (prostate-specific antigen <20; Gleason score 6 or 7) seen by urologists (primarily residents and fellows) in 4 Veterans Affairs medical centers. We measured patients’ baseline preferences prior to their urology appointments, including initial treatment preference, cancer-related anxiety, and interest in sex. In longitudinal follow-up, we determined which treatment patients received. We used hierarchical logistic regression to determine the factors that predicted treatment received (active treatment v. active surveillance) and urologist recommendations. We also conducted a directed content analysis of recorded clinical encounters to determine if urologists discussed patients’ interest in sex. Results. Patients’ initial treatment preferences did not predict receipt of active treatment versus surveillance, Δχ2(4) = 3.67, P = 0.45. Instead, receipt of active treatment was predicted primarily by urologists’ recommendations, Δχ2(2) = 32.81, P < 0.001. Urologists’ recommendations, in turn, were influenced heavily by medical factors (age and Gleason score) but were unrelated to patient preferences, Δχ2(6) = 0, P = 1. Urologists rarely discussed patients’ interest in sex (<15% of appointments). Conclusions. Patients’ treatment decisions were based largely on urologists’ recommendations, which, in turn, were based on medical factors (age and Gleason score) and not on patients’ personal views of the relative pros and cons of treatment alternatives.

Publisher

SAGE Publications

Subject

Health Policy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3