癌症患者参与治疗决策时的负担体验。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Fiorella L Huijgens, Marij A Hillen, Mette J Huisinga, André N Vis, Corinne N Tillier, Hester S A Oldenburg, Gwen M P Diepenhorst, Inge Henselmans
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引用次数: 0

摘要

目的患者越来越多地参与临床医生的决策。然而,也有人担心参与决策可能会给患者带来情绪困扰。很少有研究调查患者在面对改变生活的治疗决定时所经历的负担的性质。因此,我们探讨了早期乳腺癌和前列腺癌患者在参与决策方面所经历的负担的性质和表现。我们进一步旨在确定患者感知的原因和潜在的解决方案,为他们所经历的负担。方法采用半结构化访谈法,探讨早期乳腺癌和前列腺癌患者的观点。患者(N = 24)如果他们在过去6个月内被诊断出来,并且报告他们参与决策有一定程度的负担,则符合条件。两位研究者独立运用主题分析对访谈进行归纳编码。结果患者在决策过程中以不同的方式和不同的时刻对决策产生负担。患者将其决策负担主要归因于不确定性、害怕做出错误的决定、临床医生的指导不足以及对自己的治疗决策有压倒性的责任感。患者指出了减轻他们负担或促进决策的各种因素,包括有足够的时间,有机会与专家和/或家人讨论选择,并得到家人或临床医生的建议或确认。结论患者的不确定性和焦虑感以及决策过程中角色的非偏好分工可能导致决策相关负担的产生。因此,通过讨论不确定性和痛苦的存在来承认患者的感受可能会使患者的负担正常化。此外,临床医生可以探索和调整患者在决策中的角色偏好,并讨论如何促进患者的决策过程。强调患者因参与决策而经历情感、认知和身体上的负担。一些负担似乎来自临床医生让患者参与决策的方式。除了有关选择、益处和危害的信息外,患者在决策过程中还需要积极的支持。临床医生的目标可以是避免过度关注病人的自主权,而是建立真实的、共同的决定,如果需要的话,一些临床医生可以发挥控制作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cancer Patients' Experiences of Burden when Involved in Treatment Decision Making.

PurposePatients are increasingly involved in decision making by their clinicians. Yet, there are concerns that involvement in decision making may cause emotional distress in patients. Little research has examined the nature of the burden experienced by patients confronted with a life-changing treatment decision. Therefore, we explored the nature and manifestations of burden experienced by patients with early-stage breast and prostate cancer regarding their involvement in decision making. We further aimed to identify patient-perceived causes and potential solutions for their experienced burden.MethodsWe used semi-structured interviews to explore the perspectives of patients with early-stage breast and prostate cancer. Patients (N = 24) were eligible if they were diagnosed in the past 6 mo and reported some degree of burden regarding their involvement in decision making. Two researchers independently inductively coded the interviews using thematic analysis.ResultsPatients described being burdened by the decision in various ways and at various moments in the decision-making process. Patients attributed their decision-related burden mainly to uncertainty, fear of making the wrong decision, insufficient guidance by their clinician, and feeling an overwhelming sense of responsibility for their treatment decision. Patients indicated various factors that mitigated their burden or facilitated decision making, including having sufficient time, the opportunity to discuss the choice with experts and/or family, and receiving advice or confirmation from family or the clinician.ConclusionThese findings suggest that decision-related burden could be caused by the uncertainty and anxiety patients experience and by a nonpreferred division of roles within the decision-making process.ImplicationsAccordingly, acknowledging patients' feelings by discussing the presence of uncertainty and distress might normalize the burden for patients. Moreover, clinicians could explore and adjust to patients' role preference in decision making and discuss what would facilitate the decision process for patients.HighlightsPatients experience emotional, cognitive, and physical burden from their involvement in decision making.Some of the burden appears to result from the way clinicians involve patients in decision making.In addition to information about options, benefits, and harms, patients require active support in their decision-making process.Clinicians could aim to avoid overfocus on patient autonomy and instead establish authentic, shared decisions, with a role for some clinician control if needed.

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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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