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


Journal

Journal of pain and symptom management
ISSN: 1873-6513
Titre abrégé: J Pain Symptom Manage
Pays: United States
ID NLM: 8605836

Informations de publication

Date de publication:
12 2020
Historique:
received: 26 03 2020
revised: 25 06 2020
accepted: 25 06 2020
pubmed: 10 7 2020
medline: 24 6 2021
entrez: 10 7 2020
Statut: ppublish

Résumé

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. 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). 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 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. 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.

Identifiants

pubmed: 32645453
pii: S0885-3924(20)30587-X
doi: 10.1016/j.jpainsymman.2020.06.042
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1100-1108.e2

Informations de copyright

Copyright © 2020 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Astrid D H Brys (ADH)

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. Electronic address: astrid.brys@unicatt.it.

Frank Stifft (F)

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

Caroline M Van Heugten (CM)

Faculty of Psychology and Neuroscience, Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Limburg Brain Injury Centre, Maastricht, The Netherlands.

Maurizio Bossola (M)

Università Cattolica del Sacro Cuore, Roma, Italy; Hemodialysis Unit, Università Cattolica del Sacro Cuore, Rome, Italy.

Giovanni Gambaro (G)

Università Cattolica del Sacro Cuore, Roma, Italy; Division of Nephrology, University Hospital of Verona, Verona, Italy.

Bert Lenaert (B)

Faculty of Psychology and Neuroscience, Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Limburg Brain Injury Centre, Maastricht, The Netherlands.

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