在前列腺癌治疗咨询中使用劝说性语言进行风险交流。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2024-04-01 Epub Date: 2024-02-12 DOI:10.1177/0272989X241228612
Aurash Naser-Tavakolian, Rebecca Gale, Michael Luu, John M Masterson, Abhishek Venkataramana, Dmitry Khodyakov, Jennifer T Anger, Edwin Posadas, Howard Sandler, Stephen J Freedland, Brennan Spiegel, Timothy J Daskivich
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引用次数: 0

摘要

背景:医生的治疗偏好可能会影响前列腺癌咨询中的风险沟通方式。我们发现了在描述癌症预后、预期寿命和副作用时,医生在建议积极治疗(手术/放射治疗)或非积极治疗(积极监测/观察等待)时所使用的具有说服力的语言:我们对 10 个多学科医疗机构中 40 名患有低危和中危前列腺癌的男性患者的治疗咨询记录进行了定性分析。对有关癌症预后、预期寿命和副作用的引文进行了随机分析。编码员根据独立的盲法报价预测医生的治疗建议。报告了针对医生治疗建议的共识预测的测试特征。然后,编码员对每条引文识别出有利于积极治疗/不积极治疗的说服策略。报告了倾向于积极/非积极治疗的说服策略的频率。逻辑回归量化了说服策略与医生治疗建议之间的关联:结果:共识别出 496 条关于癌症预后(n = 127)、预期寿命(n = 51)和副作用(n = 318)的语录。根据含有劝说性语言的单个语录(n = 256/496,52%)预测治疗建议的准确率为 91%。在倾向于积极治疗时,说服性语言淡化了副作用风险,放大了癌症风险(复发、进展或死亡)。显著的预测因素(P无论医生的建议是否恰当,他们都会使用具有说服力的语言来支持他们首选的治疗方法:临床医生应量化风险,以便患者能够判断潜在的危害,而不是仅仅依赖于说服性语言:编码员根据关于癌症预后、预期寿命和副作用的孤立、随机引语预测医生的治疗建议,准确率为 91%。定性分析显示,在倾向于非激进治疗时,医生使用的说服性语言会放大副作用风险并淡化癌症风险。医疗服务提供者应该意识到说服策略的使用,并致力于提供量化的风险评估,与患者共同解读,这样患者就可以对风险做出基于证据的结论,而不必完全依赖于说服性语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations.

Background: Physician treatment preference may influence how risks are communicated in prostate cancer consultations. We identified persuasive language used when describing cancer prognosis, life expectancy, and side effects in relation to a physician's recommendation for aggressive (surgery/radiation) or nonaggressive (active surveillance/watchful waiting) treatment.

Methods: A qualitative analysis was performed on transcribed treatment consultations of 40 men with low- and intermediate-risk prostate cancer across 10 multidisciplinary providers. Quotes pertaining to cancer prognosis, life expectancy, and side effects were randomized. Coders predicted physician treatment recommendations from isolated blinded quotes. Testing characteristics of consensus predictions against the physician's treatment recommendation were reported. Coders then identified persuasive strategies favoring aggressive/nonaggressive treatment for each quote. Frequencies of persuasive strategies favoring aggressive/nonaggressive treatment were reported. Logistic regression quantified associations between persuasive strategies and physician treatment recommendations.

Results: A total of 496 quotes about cancer prognosis (n = 127), life expectancy (n = 51), and side effects (n = 318) were identified. The accuracy of predicting treatment recommendation based on individual quotes containing persuasive language (n = 256/496, 52%) was 91%. When favoring aggressive treatment, persuasive language downplayed side effect risks and amplified cancer risk (recurrence, progression, or mortality). Significant predictors (P < 0.05) of aggressive treatment recommendation included favorable side effect interpretation, downplaying side effects, and long time horizon for cancer risk due to longevity. When favoring nonaggressive treatment, persuasive language amplified side effect risks and downplayed cancer risk. Significant predictors of nonaggressive treatment recommendation included unfavorable side effect interpretation, favorable interpretation of cancer risk, and short time horizon for cancer risk due to longevity.

Conclusions: Physicians use persuasive language favoring their preferred treatment, regardless of whether their recommendation is appropriate.

Implications: Clinicians should quantify risk so patients can judge potential harm without solely relying on persuasive language.

Highlights: Physicians use persuasive language favoring their treatment recommendation when communicating risks of prostate cancer treatment, which may influence a patient's treatment choice.Coders predicted physician treatment recommendations based on isolated, randomized quotes about cancer prognosis, life expectancy, and side effects with 91% accuracy.Qualitative analysis revealed that when favoring nonaggressive treatment, physicians used persuasive language that amplified side effect risks and downplayed cancer risk. When favoring aggressive treatment, physicians did the opposite.Providers should be cognizant of using persuasive strategies and aim to provide quantified assessments of risk that are jointly interpreted with the patient so that patients can make evidence-based conclusions regarding risks without solely relying on persuasive language.

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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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