Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Med Decis Making. 2024 Apr;44(3):320-334. doi: 10.1177/0272989X241228612. Epub 2024 Feb 12.
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.
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.
A total of 496 quotes about cancer prognosis ( = 127), life expectancy ( = 51), and side effects ( = 318) were identified. The accuracy of predicting treatment recommendation based on individual quotes containing persuasive language ( = 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 ( < 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.
Physicians use persuasive language favoring their preferred treatment, regardless of whether their recommendation is appropriate.
Clinicians should quantify risk so patients can judge potential harm without solely relying on persuasive language.
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.
医生的治疗偏好可能会影响前列腺癌咨询中风险的沟通方式。我们确定了当医生推荐积极(手术/放疗)或非积极(主动监测/观察等待)治疗时,用于描述癌症预后、预期寿命和副作用的有说服力的语言。
对 10 名多学科医生治疗的 40 名低危和中危前列腺癌患者的治疗咨询进行了定性分析。与医生治疗建议相关的癌症预后、预期寿命和副作用的引语是随机选择的。编码员根据孤立的盲选引语预测医生的治疗建议。报告了共识预测与医生治疗建议的测试特征。然后,编码员确定了支持每种引语的积极/非积极治疗的有说服力的策略。报告了支持积极/非积极治疗的有说服力的策略的频率。逻辑回归量化了有说服力的策略与医生治疗建议之间的关联。
共确定了 496 条关于癌症预后( = 127)、预期寿命( = 51)和副作用( = 318)的引语。基于包含有说服力语言的单个引语( = 256/496,52%)预测治疗建议的准确性为 91%。当支持积极治疗时,有说服力的语言会降低副作用风险并放大癌症风险(复发、进展或死亡)。积极治疗建议的显著预测因素( < 0.05)包括对副作用的有利解释、降低副作用和由于长寿而导致癌症风险的时间跨度长。当支持非积极治疗时,有说服力的语言会放大副作用风险并降低癌症风险。非积极治疗建议的显著预测因素包括对副作用的不利解释、对癌症风险的有利解释以及由于长寿而导致癌症风险的时间跨度短。
医生使用有说服力的语言来支持他们的首选治疗,无论他们的建议是否合适。
临床医生应该量化风险,以便患者可以在不依赖于有说服力的语言的情况下判断潜在的危害。
当医生在沟通前列腺癌治疗风险时,他们会使用有说服力的语言来支持他们的治疗建议,这可能会影响患者的治疗选择。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,当支持非积极治疗时,医生使用的有说服力的语言会放大副作用风险并降低癌症风险。当支持积极治疗时,医生则相反。医生应意识到使用有说服力的策略,并应努力提供量化的风险评估,以便与患者共同进行评估,以便患者可以在不依赖于有说服力的语言的情况下基于证据做出关于风险的结论。