Effectiveness of e‐health based self‐management to improve cancer‐related fatigue, self‐efficacy and quality of life in cancer patients: Systematic review and meta‐analysis
Abstract
Aims: To integrate the overall effect of e‐health based self‐management on cancer‐related fatigue (CRF), self‐efficacy, and quality of life (QOL) among adult cancer patients. Design: A systematic review and meta‐analysis of randomized controlled trials. Data sources: We researched PubMed, Cumulative Index Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, Web of Science and Embase up to 14 July 2019. Review Methods: We conducted the review with the Cochrane Handbook (version 5.1.0) and measured the quality of evidence with the Grading of Recommendations Assessment, Development and Evaluation criteria. Results: Literature searching identified 15 trials with a total of 2,337 participants. Integrated results analysis of e‐health based self‐management demonstrated a statistically significant but small effect on CRF and self‐efficacy, but no statistically significant improvement on the QOL. Meanwhile, subgroup analysis indicated that e‐health based self‐management had a larger effect on fatigue compared with usual care/waiting list control. Conclusion: E‐health based self‐management is effective for CRF and self‐efficacy, but not the QOL. More high‐quality randomized control trials are warranted to confirm these conclusions. Impact: Results showed e‐health could improve fatigue and self‐efficacy but not the QOL. Health providers could take into the various factors of e‐health interventions when providing telehealth service. Other researchers might be inspired by the current review before they begin a study about e‐health.
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Several meta-analyses have shown promising results from eHealth interventions on fatigue.
“Several meta-analyses have shown promising results from eHealth interventions on fatigue,9,20 but further randomized controlled trials (RCTs) are required to confirm these results.20”
From Effects of a Video Sequence Based Intervention on Anxiety, Fatigue and Depression in Cancer Patients: Results of a Randomized Controlled Trial. (2023) · cites this paper as [20]
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- Authors
- Xu, A., Wang, Y., & Wu, X.
- Affiliations
- Peking University (CN)
- Corresponding author
- Wu, Xue
- Venue
- Journal of Advanced Nursing
- Publisher
- Wiley
- Published
- 2019-10-20
- Volume
- 75
- Issue
- 12
- Pages
- 3434-3447
- ISSN
- 0309-2402 (ISSN-L)
- 1365-2648
- OpenAlex
- W2978037301
- Cited by
- 98
- References
- 50
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 16 · 2023: 18 · 2022: 19 · 2021: 14 · 2020: 3
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Advanced Nursing (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (71601004)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- e-health, self-management, cancer-related fatigue, self-efficacy, quality of life, cancer patients, telemedicine, digital health interventions
- MeSH terms
- Self-Management, Humans, Neoplasms, Quality of Life, Telemedicine, Self Efficacy
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