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Improving Sleep Quality on the First Postoperative Night in the Intensive Care Unit: A Quality Improvement Initiative
Philippe Simard-Sauriol1, Stéphanie Dupuis2, Marie-Noëlle Côté2
1Critical Care, Université Laval, Quebec, CAN.
Critically ill patients experienced improved sleep quality in the intensive care unit (ICU) after implementing a multimodal sleep bundle. This low-cost intervention enhanced patient sleep without increasing nurse workload or adverse events.
Area of Science:
- Critical Care Medicine
- Sleep Science
- Quality Improvement
Background:
- Sleep disruption is prevalent in critically ill patients, linked to delirium, immune dysfunction, and poor quality of life.
- The initial postoperative night in the intensive care unit (ICU) presents unique sleep challenges due to pain, anxiety, and frequent care.
- Existing interventions have not reliably improved sleep for this vulnerable patient population.
Purpose of the Study:
- To evaluate the effectiveness of a multimodal, low-cost sleep bundle in improving patient-reported sleep quality in the ICU.
- To assess the impact of interventions on nurse-perceived sleep quality, sleep quantity, and patient satisfaction.
- To monitor nurse workload and adverse events as balancing measures.
Main Methods:
- A quality improvement project utilized six Plan-Do-Study-Act cycles over seven months.
- Postoperative adult ICU patients meeting specific eligibility criteria were included.
- Interventions comprised staff engagement, sensory aids (earplugs/eye masks), environmental modifications (door closure), pain management review, noise monitoring, simplified surveillance, and melatonin administration.
Main Results:
- Patient-reported sleep quality showed a modest increase from 5.0 to 5.4/10.
- Nurse-perceived sleep quality demonstrated favorable variation following streamlined surveillance protocols.
- No significant increase in nurse workload or adverse events was observed.
Conclusions:
- A multimodal, low-cost sleep bundle offers a modest improvement in sleep quality for ICU patients.
- The intervention was implemented without augmenting staff burden, suggesting feasibility for widespread adoption.
- Continuous data analysis facilitated real-time adaptation, highlighting its value for similar quality improvement initiatives.
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