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解析血液透析患者的疲劳现象:使用移动医疗经验采样法对回顾性报告与实时评估进行比较。

Unraveling Fatigue in Hemodialysis Patients: Comparing Retrospective Reports to Real-Time Assessments With an mHealth Experienced Sampling Method.

机构信息

Faculty of Psychology and Neuroscience, Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands; Division of Nephrology, Department of Internal Medicine, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands; Divisione di Nefrologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy.

Division of Nephrology, Department of Internal Medicine, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.

出版信息

J Pain Symptom Manage. 2020 Dec;60(6):1100-1108.e2. doi: 10.1016/j.jpainsymman.2020.06.042. Epub 2020 Jul 6.

Abstract

CONTEXT

Fatigue is prevalent among hemodialysis (HD) patients and associated with depressive mood. To advance our understanding of its etiology and develop appropriate treatments, reliable measurement instruments are needed. However, conventional fatigue and mood questionnaires are prone to bias because of their retrospective nature and may misrepresent or overestimate actual symptom experience (i.e., the so-called memory-experience gap). Experience sampling methodology (ESM) overcomes this limitation through repeated real-time assessments in patients' natural environment, thereby providing reliable and ecologically valid data.

OBJECTIVES

We investigated to what extent retrospective symptom reporting accurately represents real-time experiences of fatigue and mood in HD patients using an ESM mobile Health application (PsyMate™; smartHealth GmbH, Luxembourg).

METHODS

Forty HD patients used the PsyMate for one week to assess real-time fatigue and mood. In addition, they retrospectively evaluated their symptom experience completing end-of-day and end-of-week questionnaires as well as the conventional Fatigue Severity Scale and Hospital Anxiety and Depression Scale.

RESULTS

Results of real-time observations (N = 1777) showed that fatigue and mood varied between and within individuals. Retrospective end-of-week fatigue evaluation was significantly higher than the average real-time fatigue score; t(38) = 3.54, P = 0.001, and d = 0.57. Fatigue Severity Scale and Hospital Anxiety and Depression Scale correlated moderately to strong with the average ESM score for fatigue and mood: r = 0.66 and r = 0.77, respectively.

CONCLUSION

Retrospective fatigue assessment may lead to overestimation of real-time symptom experience. ESM provides detailed insight and personalized information about symptom experiences, which may be crucial for the design of more targeted and personalized interventions for fatigue and mood problems in HD patients.

摘要

背景

疲劳是血液透析(HD)患者中普遍存在的问题,与抑郁情绪有关。为了深入了解其病因并开发相应的治疗方法,需要可靠的测量工具。然而,由于传统的疲劳和情绪问卷具有回顾性,可能会产生偏差,并且可能会错误地或过高地描述实际的症状体验(即所谓的记忆-体验差距)。经验采样法(ESM)通过在患者的自然环境中对其进行重复的实时评估克服了这一限制,从而提供了可靠且具有生态效度的数据。

目的

我们使用 ESM 移动健康应用程序(PsyMate™;smartHealth GmbH,卢森堡)来调查回顾性症状报告在多大程度上准确代表 HD 患者的实时疲劳和情绪体验。

方法

40 名 HD 患者使用 PsyMate 进行了一周的实时疲劳和情绪评估。此外,他们通过完成每日结束和每周结束的问卷以及传统的疲劳严重程度量表和医院焦虑抑郁量表,对他们的症状体验进行回顾性评估。

结果

实时观察结果(N=1777)显示,疲劳和情绪在个体之间和个体内部都存在差异。每周结束时的疲劳回顾性评估明显高于平均实时疲劳得分;t(38)=3.54,P=0.001,d=0.57。疲劳严重程度量表和医院焦虑抑郁量表与疲劳和情绪的平均 ESM 评分中度至高度相关:r=0.66 和 r=0.77。

结论

回顾性疲劳评估可能导致对实时症状体验的高估。ESM 提供了关于症状体验的详细洞察和个性化信息,这对于设计更有针对性和个性化的干预措施以解决 HD 患者的疲劳和情绪问题可能至关重要。

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