人口对生命限制疾病治疗的偏好:评估生命结束时时间的使用方式。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2025-10-01 Epub Date: 2025-07-10 DOI:10.1177/0272989X251346203
Patricia Kenny, Deborah J Street, Jane Hall
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引用次数: 0

摘要

社会对不同健康状态的偏好被用来指导服务计划,但很少有关于生命末期治疗偏好的调查。本研究旨在调查预期寿命有限的癌症患者对积极治疗或姑息治疗的偏好,以及住院时间或功能限制的相对重要性。方法我们采用离散选择实验,向被调查者提供一系列假设的已经死亡的病人,描述他们最后几个月的生活。受访者选择了他们认为最好的临终方案。数据来自1502名参与在线调查小组的澳大利亚成年人。潜在类别分析用于识别具有不同偏好模式的群体。结果:我们确定了四个偏好组,以及一个我们称之为不专心的额外组,因为他们似乎是随机反应的。在1070名被分配到4个偏好组中的1个的受访者中,33.5%的人倾向于更长的总体生存时间,而不管这段时间是如何度过的;26.1%的人愿意接受更短的生存时间,即更少的住院时间或完全丧失在家中的行为能力,他们对老年患者的姑息治疗有更强的偏好;22.5%的人强烈支持姑息治疗的使用,无论患者的年龄如何,他们倾向于在医院或有任何功能限制的情况下减少住院时间;17.9%的人强烈倾向于不使用姑息治疗。结论研究结果显示人群对临终关怀的偏好存在明显的异质性。政策目标和服务计划应承认这种异质性,并提供临终支持服务,提供灵活性,以提高患者的选择。许多目前的资助方法与以病人为中心的护理理念不一致。决策者能够而且应该探索创新方法来提高效率和公平。基于一般人口调查的社会偏好在姑息治疗和积极治疗方法之间有所不同。对姑息治疗的偏好和忍受活动受限的住院和在家时间的意愿在愿意牺牲生活质量和数量的群体中有所不同。政策、资源分配和资助方法应适应这种可变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.

Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.

Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.

Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.

IntroductionSocietal preferences over different health states are used to guide service planning, but there has been little investigation of treatment preferences at the end of life. This study aimed to examine population preferences for active treatment or palliation for cancer patients when life expectancy is limited and the relative importance of time spent in hospital or with functional limitation.MethodsWe used a discrete choice experiment that presented respondents with a series of hypothetical patients who had died, describing their last few months of life. Respondents selected the end-of-life alternative they thought best. Data were collected from 1,502 Australian adults participating in an online survey panel. Latent class analysis was used to identify groups with different preference patterns.ResultsFour preference groups were identified along with an additional group that we termed inattentive, as they appeared to respond at random. Among the 1,070 respondents assigned to 1 of the 4 preference groups, 33.5% favored longer overall survival regardless of how that time was spent; 26.1% were willing to accept a shorter survival time for less time in the hospital or completely incapacitated at home, and they had a stronger preference for palliative care in older patients; 22.5% strongly supported the use of palliative care regardless of the age of the patients, preferring less time in the hospital or time at home with any functional limitations; and 17.9% had a strong preference to not use palliative care.ConclusionsOur results show distinct heterogeneity in population preferences for end-of-life care. Policy goals and service planning should acknowledge this heterogeneity and provide end-of-life support services that offer the flexibility to enhance patient choice. Many current funding approaches are not consistent with the philosophy of patient-centered care. Policy makers can and should be exploring innovative approaches to improve efficiency and equity.HighlightsSocial preferences, based on a general population survey, vary across palliative and active care approaches.Preferences for palliative care and willingness to tolerate time in hospital and time at home with activity limitations varied within the groups willing to trade quality and quantity of life.Policy, resource allocation, and funding methods should accommodate this variability.

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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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