心力衰竭患者对疾病不可治愈性的认识与患者报告结果之间关系的纵向研究。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Jia Jia Lee, Chetna Malhotra, Kheng Leng David Sim, Khung Keong Yeo, Eric Finkelstein, Semra Ozdemir
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引用次数: 0

摘要

目的研究心力衰竭患者在 24 个月内对疾病不可治愈性的认识及其与患者特征和患者报告结果(痛苦、情绪和精神健康)之间的关系:本研究分析了一项前瞻性队列研究的 24 个月数据,研究对象是从新加坡中央医院和新加坡国家心脏中心的住院病房招募的 251 名心力衰竭患者(纽约心脏协会 III/IV 级)。患者被要求报告医生是否告诉他们正在接受治疗以治愈病情。回答 "否 "的患者被归类为知道疾病不可治愈,回答 "是 "和 "不确定 "的患者分别被归类为不知道疾病不可治愈和不确定疾病不可治愈。我们使用混合效应多项式逻辑回归来研究疾病不可治愈意识与患者特征之间的关系,并使用混合效应线性回归来研究与患者结果之间的关系:意识到疾病不可治愈的患者比例从基线时的 51.6% 增加到随访 24 个月时的 76.4%(P < 0.001)。与不知道疾病不可治愈相比,知道疾病不可治愈与年龄较大(相对风险比 [RRR] = 1.04;P = 0.005)、充分的自我护理信心(RRR = 5.06;P < 0.001)、参与治疗决策(RRR = 2.13;P = 0.006)、高学历(RRR = 2.00;P = 0.033)、经济困难(RRR = 1.18;P = 0.020)、症状负担(RRR = 1.08;P = 0.001)和种族(P < 0.05)。与不了解疾病不可治愈性相比,了解疾病不可治愈性与较高的情绪幸福感相关(β = 0.76; P = 0.024),而不确定疾病不可治愈性与较差的精神幸福感相关(β = -3.16; P = 0.006):我们的研究结果表明,了解疾病的可治愈性、解决心力衰竭患者对疾病可治愈性的不确定性以及帮助患者做出明智的医疗决定非常重要。在亚洲和其他文化中,出于 "保护 "病人的目的,对临终病人披露预后的程度普遍较低,这些研究结果对亚洲和其他文化具有重要意义:我们对心力衰竭患者进行了为期24个月的研究,结果显示,意识到疾病不可治愈的患者比例从52%上升到76%。与不意识到疾病不可治愈相比,意识到疾病不可治愈与较高的情绪幸福感相关,而不确定疾病不可治愈与较差的精神幸福感相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Longitudinal Study of the Association of Awareness of Disease Incurability with Patient-Reported Outcomes in Heart Failure.

Objectives: To examine awareness of disease incurability among patients with heart failure over 24 mo and its associations with patient characteristics and patient-reported outcomes (distress, emotional, and spiritual well-being).

Methods: This study analyzed 24-mo data from a prospective cohort study of 251 patients with heart failure (New York Heart Association class III/IV) recruited from inpatient wards in Singapore General Hospital and National Heart Centre Singapore. Patients were asked to report if their doctor told them they were receiving treatment to cure their condition. "No" responses were categorized as being aware of disease incurability, while "Yes" and "Uncertain" were categorized as being unaware and being uncertain about disease incurability, respectively. We used mixed-effects multinomial logistic regression to investigate the associations between awareness of disease incurability and patient characteristics and mixed-effects linear regressions to investigate associations with patient outcomes.

Results: The percentage of patients who were aware of disease incurability increased from 51.6% at baseline to 76.4% at 24-mo follow-up (P < 0.001). Compared with being unaware of disease incurability, being aware was associated with older age (relative risk ratio [RRR] = 1.04; P = 0.005), adequate self-care confidence (RRR = 5.06; P < 0.001), participation in treatment decision making (RRR = 2.13; P = 0.006), higher education (RRR = 2.00; P = 0.033), financial difficulty (RRR = 1.18; P = 0.020), symptom burden (RRR = 1.08; P = 0.001), and ethnicity (P < 0.05). Compared with being unaware of disease incurability, being aware was associated with higher emotional well-being (β = 0.76; P = 0.024), while being uncertain about disease incurability was associated with poorer spiritual well-being (β = -3.16; P = 0.006).

Conclusions: Our findings support the importance of being aware of disease incurability, addressing uncertainty around disease incurability among patients with heart failure, and helping patients make informed medical decisions. The findings are important to Asian and other cultures where the prognosis disclosure to terminally ill patients is generally low with an intention to "protect" patients.

Highlights: Our 24-mo study with heart failure patients showed an increase from 52% to 76% in patients being aware of disease incurability.Compared with being unaware of disease incurability, being aware was associated with higher emotional well-being, while uncertainty about disease incurability was associated with poorer spiritual well-being.

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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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