Suppr超能文献

我的亲身经历比你的概率更重要:个性化风险评估在关于参与他莫昔芬和雷洛昔芬(STAR)研究决策中的作用。

My Lived Experiences Are More Important Than Your Probabilities: The Role of Individualized Risk Estimates for Decision Making about Participation in the Study of Tamoxifen and Raloxifene (STAR).

作者信息

Holmberg Christine, Waters Erika A, Whitehouse Katie, Daly Mary, McCaskill-Stevens Worta

机构信息

Berlin School of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany (CH, KW)

Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA (EAW)

出版信息

Med Decis Making. 2015 Nov;35(8):1010-22. doi: 10.1177/0272989X15594382. Epub 2015 Jul 16.

Abstract

BACKGROUND

Decision-making experts emphasize that understanding and using probabilistic information are important for making informed decisions about medical treatments involving complex risk-benefit tradeoffs. Yet empirical research demonstrates that individuals may not use probabilities when making decisions.

OBJECTIVES

To explore decision making and the use of probabilities for decision making from the perspective of women who were risk-eligible to enroll in the Study of Tamoxifen and Raloxifene (STAR).

METHODS

We conducted narrative interviews with 20 women who agreed to participate in STAR and 20 women who declined. The project was based on a narrative approach. Analysis included the development of summaries of each narrative, and thematic analysis with developing a coding scheme inductively to code all transcripts to identify emerging themes.

RESULTS

Interviewees explained and embedded their STAR decisions within experiences encountered throughout their lives. Such lived experiences included but were not limited to breast cancer family history, a personal history of breast biopsies, and experiences or assumptions about taking tamoxifen or medicines more generally.

CONCLUSIONS

Women's explanations of their decisions about participating in a breast cancer chemoprevention trial were more complex than decision strategies that rely solely on a quantitative risk-benefit analysis of probabilities derived from populations In addition to precise risk information, clinicians and risk communicators should recognize the importance and legitimacy of lived experience in individual decision making.

摘要

背景

决策专家强调,理解和运用概率信息对于在涉及复杂风险效益权衡的医疗治疗中做出明智决策至关重要。然而,实证研究表明,个体在做决策时可能不会使用概率。

目的

从有资格参与他莫昔芬与雷洛昔芬研究(STAR)的女性的角度,探讨决策制定以及决策中概率的运用。

方法

我们对20名同意参与STAR的女性和20名拒绝参与的女性进行了叙述性访谈。该项目基于叙述方法。分析包括编写每个叙述的摘要,以及进行主题分析,通过归纳制定编码方案对所有访谈记录进行编码,以识别新出现的主题。

结果

受访者将她们参与STAR的决策置于其一生所经历的各种事情中进行解释和阐述。这些生活经历包括但不限于乳腺癌家族史、个人乳房活检史,以及服用他莫昔芬或一般药物的经历或假设。

结论

女性对参与乳腺癌化学预防试验的决策解释,比单纯依赖对群体概率进行定量风险效益分析的决策策略更为复杂。除了精确的风险信息外,临床医生和风险沟通者应认识到生活经历在个体决策中的重要性和合理性。

相似文献

6
Breast cancer prevention trials.乳腺癌预防试验。
Curr Oncol Rep. 2000 Nov;2(6):558-65. doi: 10.1007/s11912-000-0110-0.

引用本文的文献

本文引用的文献

3
The Drug Facts Box: Improving the communication of prescription drug information.药品说明书:改进处方药信息的沟通。
Proc Natl Acad Sci U S A. 2013 Aug 20;110 Suppl 3(Suppl 3):14069-74. doi: 10.1073/pnas.1214646110. Epub 2013 Aug 13.
8
Use of tamoxifen and raloxifene for breast cancer chemoprevention in 2010.2010 年他莫昔芬和雷洛昔芬用于乳腺癌化学预防。
Breast Cancer Res Treat. 2012 Jul;134(2):875-80. doi: 10.1007/s10549-012-2089-2. Epub 2012 May 24.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验