This publication is a systematic review and meta-analysis focusing on digital and mobile-based interventions for nurses. The analysis included a total sample size of 2,321 nurses across various settings. Primary outcomes assessed included the Pittsburgh Sleep Quality Index, Insomnia Severity Index, and Epworth Sleepiness Scale. Secondary outcomes encompassed depression, anxiety, fatigue, and work-related stress.
Digital interventions markedly enhanced sleep quality, with a mean difference of -2.94 on the Pittsburgh Sleep Quality Index (95% CI -5.22 to -0.66). Insomnia severity was reduced, showing a mean difference of -3.32 (95% CI -5.19 to -1.45). Daytime sleepiness showed a significant disparity, though the effect size was not reported. Psychological outcomes also improved, with diminished depression (SMD = -0.46; 95% CI -0.80 to -0.13), anxiety (SMD = -0.29; 95% CI -0.44 to -0.14), and fatigue (SMD = -0.41; 95% CI -0.75 to -0.07).
Work-related stress showed no significant effect, with data not reported. The authors acknowledge significant variability and a restricted number of studies as key limitations affecting the certainty of the evidence. Safety data regarding adverse events, serious adverse events, and discontinuations were not reported. Practice relevance suggests digital and mobile-based interventions seem to enhance sleep quality and psychological well-being in nurses. However, additional high-quality trials are required to validate these findings before widespread clinical adoption.
View Original Abstract ↓
Nurses frequently endure diminished sleep quality, sleeplessness, and psychological distress due to high-intensity shifts and persistent work pressure. Digital health interventions are increasingly utilised to enhance sleep behaviour; however, systematic information about their real benefits on the nursing population remains insufficient.
To assess the efficacy of digital and mobile interventions on sleep and associated psychological consequences in nurses.
This review adhered to Cochrane principles and PRISMA standards. A multitude of databases were examined, including PubMed, Web of Science, the Cochrane Library, Embase, Scopus, and EBSCO. Two reviewers conducted study screening and quality assessment independently. The primary outcomes were the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS). The statistical analysis was conducted using RevMan 5.4 software. Continuous outcome variables were aggregated using standardised mean differences (SMD), mean differences (MD), and 95% confidence intervals (CI).
Eleven studies comprising 2,321 nurses were included. Digital interventions markedly enhanced sleep quality (PSQI: MD = −2.94, 95% CI −5.22 to −0.66) and reduced insomnia severity (ISI: MD = −3.32, 95% CI −5.19 to −1.45). A significant disparity was also noted in daytime sleepiness (ESS), with reduced scores in the intervention group. The interventions also diminished depression (SMD = −0.46, 95% CI −0.80 to −0.13), anxiety (SMD = −0.29, 95% CI −0.44 to −0.14), and fatigue (SMD = −0.41, 95% CI −0.75 to −0.07), while no significant effect was found for work-related stress.
Digital and mobile-based interventions seem to enhance sleep quality and psychological well-being in nurses. Nonetheless, due to the significant variability and the restricted number of studies, additional high-quality trials are required to validate these findings.