ArticleClinical kidney journal2021
mHealth-based experience sampling method to identify fatigue in the context of daily life in haemodialysis patients.
Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- eHealth Solutions for Symptom Assessment and Monitoring in Adults With Chronic Kidney Disease: A Systematic Review.Journal of clinical nursing · 2025Pooled it
- The effect of foot reflexology on fatigue in hemodialysis patients: a meta-analysis study.Revista latino-americana de enfermagem · 2023Pooled it
- Review
- A qualitative follow-up on perceptions of energy management education and daily life by individuals with fatigue undergoing hemodialysis treatment.The British journal of occupational therapy · 2025Article
- Day-to-day variability in activity levels detects transitions to depressive symptoms in bipolar disorder earlier than changes in sleep and mood.International journal of bipolar disorders · 2025Article
- Fatigue and quality of sleep jointly influence the association between physical activity and health-related quality of life in patients with chronic kidney disease: a cross-sectional study.Frontiers in nephrology · 2025Article
- Digital symptom management interventions for people with chronic kidney disease: a scoping review based on the UK Medical Research Council Framework.BMC public health · 2024Article
- Fatigue in Patients Receiving Maintenance Hemodialysis: A Review.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023Review
- Physical and mental fatigue in people with non-communicable chronic diseases.Annals of medicine · 2022Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Fatigue in haemodialysis (HD) patients is a prevalent but complex symptom impacted by biological, behavioural, psychological and social variables. Conventional retrospective fatigue questionnaires cannot provide detailed insights into symptom variability in daily life and related factors. The experience sampling methodology (ESM) overcomes these limitations through repeated momentary assessments in patients' natural environments using digital questionnaires. This study aimed to gain in-depth understanding of HD patients' diurnal fatigue patterns and related variables using a mobile Health (mHealth) ESM application and sought to better understand the nature of their interrelationships. Methods: Forty HD patients used the mHealth ESM application for 7 Results: Multilevel regression analyses of momentary observations ( Conclusions: ESM offers novel insights into fatigue in chronic HD patients by capturing informative symptom variability in the flow of daily life. Electronic ESM as a clinical application may help us better understand fatigue in HD patients by providing personalized information about its course and relationship with other variables in daily life, paving the way towards personalized interventions.
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Registered trials
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