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Accepted for/Published in: JMIR Serious Games

Date Submitted: Dec 14, 2023
Open Peer Review Period: Nov 30, 2023 - Jan 25, 2024
Date Accepted: May 31, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Game-Based eHealth Interventions for the Reduction of Fatigue in People With Chronic Diseases: Systematic Review and Meta-Analysis

Warlo LS, El Bardai S, De Vries ACH, Van Veelen MLC, Moors SC, Rings EHHM, Legerstee JS, Dierckx B

Game-Based eHealth Interventions for the Reduction of Fatigue in People With Chronic Diseases: Systematic Review and Meta-Analysis

JMIR Serious Games 2024;12:e55034

DOI: 10.2196/55034

PMID: 39419502

PMCID: 11528177

Game-based eHealth Interventions for the Reduction of Fatigue in People with Chronic Diseases: A Systematic Review and Meta-analysis

  • Leonie S. Warlo; 
  • Souraya El Bardai; 
  • Andrica C. H. De Vries; 
  • Marie-Lise C. Van Veelen; 
  • Suzan C. Moors; 
  • Edmond H. H. M. Rings; 
  • Jeroen S. Legerstee; 
  • Bram Dierckx

ABSTRACT

Background:

Fatigue is a common and debilitating side effect of chronic diseases substantially impacting quality of life of patients. Physical exercise and psychological treatments are known to be able to reduce fatigue but in clinical practice patients often face difficulties adhering to these interventions. Game-based eHealth interventions are thought to overcome these adherence issues by presenting the intervention in a more accessible and motivating way.

Objective:

The objective of this study was to collate empirical evidence for game-based eHealth interventions for fatigue in people with chronic diseases and to determine their effectiveness in alleviating fatigue.

Methods:

A comprehensive literature search of EMBASE, Medline ALL, PsycINFO, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and on google scholar was conducted in August 2021. Study characteristics and outcomes from the included studies were extracted and a random-effects meta-analysis was conducted. Sensitivity and subgroup analyses were conducted to identify sources of heterogeneity.

Results:

From 1742 studies identified seventeen were included for the meta-analysis. Studies covered five different chronic diseases: Multiple Sclerosis (n=10), cancer (n=3), renal disease (n=2), stroke (n=1) and Parkinson’s disease (n=1). The interventions employed were exergaming interventions for all but one study. The meta-analysis revealed a significant moderate effect size in the reduction of fatigue in favor of the experimental interventions (SMD -0.65; 95% CI -1.09 to -0.21, P=.003) as compared to control conditions consisting of conventional care and no care. However, heterogeneity was high (I2 85.87%). Subgroup analyses were done for the two most prevalent diseases. Effect size for the MS subgroup showed a trend in favor of the eHealth interventions as well (SMD -0.47; 95% CI -0.95 to 0.01; P=.05, I2 63.10%), but not for the cancer group (SMD 0.61; 95% CI -0.36 to 1.58; P=.22). Balance exercises seemed to be particularly suited for the reduction of fatigue (SMD -1.19; 95% CI -1.95 to -0.42; P=.002).

Conclusions:

Game-based eHealth interventions seem to be effective in reducing fatigue in people with chronic diseases. More research is needed to further support our results and to determine the effect for the individual diseases. Furthermore, interventions other than exergaming have been scarcely examined within the realm of game-based learning.


 Citation

Please cite as:

Warlo LS, El Bardai S, De Vries ACH, Van Veelen MLC, Moors SC, Rings EHHM, Legerstee JS, Dierckx B

Game-Based eHealth Interventions for the Reduction of Fatigue in People With Chronic Diseases: Systematic Review and Meta-Analysis

JMIR Serious Games 2024;12:e55034

DOI: 10.2196/55034

PMID: 39419502

PMCID: 11528177

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