8261660 PerfectFit@Night: an intervention to enhance sleep, fatigue, and recovery for healthcare shift workers

a:2:{s:4:"lang";s:2:"en";s:7:"content";s:2068:"<h3>Objectives</h3> Previous intervention studies among night workers mainly focused on single interventions and found inconclusive evidence for effectiveness. The current study aims to evaluate the effects and implementation of the PerfectFit{at}Night intervention to improve sleep, fatigue and recovery of night workers in healthcare. <h3>Methods</h3> PerfectFit{at}Night consisted of environmental (provision of a powernap bed and healthy food, and workshop healthy rostering) and individual elements (e-learning and sleep coaching) and was implemented for three months in a phased manner to night workers in the health care (n=210). Questionnaires, logbooks and interview data were used. Effects of the intervention on sleep, fatigue and recovery were evaluated and implementation factors were evaluated. <h3>Results</h3> Night shift-related insomnia (-11%-points, 95% CI: -19%, -4% at three months), need for recovery (β: -2.45, 95% CI: -4.86, -0.03 at six months) and fatigue (OR: 0.46, 95% CI: 0.25, 0.86 at six months) decreased significantly after the intervention. No changes were found for subjective sleep quality and sleep duration. Barriers and facilitators for implementation were identified for each intervention element at individual (e.g., dietary preferences), organisational (e.g., responsibilities at work) and workplace levels (e.g., location of power nap bed), and for the intervention itself (e.g., useful information in e-learning). Although satisfaction was high and continuation was preferred, embedding of the intervention in the daily routine was limited. <h3>Conclusions</h3> The PerfectFit{at}Night intervention reduced insomnia, fatigue and need for recovery in night workers in healthcare. The most important facilitators to improve the implementation of PerfectFit{at}Night exist at the organisational level (e.g., positive attitude within the culture and suitable work demands). Combining effect and implementation evaluation is crucial to identify barriers and facilitators that hamper or enhance intervention effects. ";}

Authors

Institutions

Publication Details

Published
2025-10-01
DOI
https://doi.org/10.1136/oemed-2025-epicohabstracts.182
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

8261660 PerfectFit@Night: an intervention to enhance sleep, fatigue, and recovery for healthcare shift workers

Fleur van Elk, Karen M Oude Hengel, Heather Holst, Suzan JW Robroek et al.
Sleep and Work-Related Fatigue
article

8261660 PerfectFit@Night: an intervention to enhance sleep, fatigue, and recovery for healthcare shift workers

Fleur van Elk, Karen M Oude Hengel, Heather Holst, Suzan JW Robroek, Alex Burdorf
article en

Abstract

a:2:{s:4:"lang";s:2:"en";s:7:"content";s:2068:"<h3>Objectives</h3> Previous intervention studies among night workers mainly focused on single interventions and found inconclusive evidence for effectiveness. The current study aims to evaluate the effects and implementation of the PerfectFit{at}Night intervention to improve sleep, fatigue and recovery of night workers in healthcare. <h3>Methods</h3> PerfectFit{at}Night consisted of environmental (provision of a powernap bed and healthy food, and workshop healthy rostering) and individual elements (e-learning and sleep coaching) and was implemented for three months in a phased manner to night workers in the health care (n=210). Questionnaires, logbooks and interview data were used. Effects of the intervention on sleep, fatigue and recovery were evaluated and implementation factors were evaluated. <h3>Results</h3> Night shift-related insomnia (-11%-points, 95% CI: -19%, -4% at three months), need for recovery (β: -2.45, 95% CI: -4.86, -0.03 at six months) and fatigue (OR: 0.46, 95% CI: 0.25, 0.86 at six months) decreased significantly after the intervention. No changes were found for subjective sleep quality and sleep duration. Barriers and facilitators for implementation were identified for each intervention element at individual (e.g., dietary preferences), organisational (e.g., responsibilities at work) and workplace levels (e.g., location of power nap bed), and for the intervention itself (e.g., useful information in e-learning). Although satisfaction was high and continuation was preferred, embedding of the intervention in the daily routine was limited. <h3>Conclusions</h3> The PerfectFit{at}Night intervention reduced insomnia, fatigue and need for recovery in night workers in healthcare. The most important facilitators to improve the implementation of PerfectFit{at}Night exist at the organisational level (e.g., positive attitude within the culture and suitable work demands). Combining effect and implementation evaluation is crucial to identify barriers and facilitators that hamper or enhance intervention effects. ";}

Erasmus University Rotterdam (NL)
Openalex Percentile: Top 71%
Sleep and Work-Related Fatigue
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.