Improving sleep for hospital inpatients: a best practice implementation project

Introduction: Patients often experience sleep disruption in hospital, which may prolong recovery and healing. Previous studies focusing on behavior change have ignored specific context implementation factors, resulting in limited improvements in patient sleep. Objectives: The aim of this study was to improve patient sleep through the implementation of a standardized patient self-report sleep assessment scale, together with a comprehensive evidence-based nocturnal sleep guideline for patients. Methods: This study was conducted in two acute care wards in a 500-bed public tertiary referral hospital in Sydney, Australia. The study used the seven-phase JBI Evidence Implementation Framework, which is grounded in an audit and feedback process. Data were gathered through assessment of patients’ self-reported sleep and semi-structured interviews with nurses and doctors. The resulting data and the Behaviour Change Wheel (BCW) informed the context-specific implementation strategy. A follow-up audit was then used to measure the effectiveness of the implementation strategy. Results: Patients’ self-reported quality of sleep remained unchanged; however, their perception of sound levels was lower post-implementation (median 49.0 [20.5] versus 23.0 [16.2–54.0]). Use of the sleep assessment scale was low. The main barrier was that nurses perceived documentation as a burden. Doctors reported that they were unaware of the sleep assessment scale and guideline post-implementation. Conclusions: Despite there being little uptake of the sleep assessment scale, there was evidence of some changes in practice relevant to sound reduction, which is key to improving sleep quality in hospitals. Documentation burden was a barrier for the uptake of the sleep assessment scale. Spanish abstract: http://links.lww.com/IJEBH/A581

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Publication Details

Journal
JBI Evidence Implementation
Published
2026-06-18
DOI
https://doi.org/10.1097/xeb.0000000000000599
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving sleep for hospital inpatients: a best practice implementation project

Felicity Dick‐Smith, Allison Tyndall, Julia Pilowsky, Suzy Ladanyi et al.
JBI Evidence Implementation
Sleep and related disorders
article

Improving sleep for hospital inpatients: a best practice implementation project

Felicity Dick‐Smith, Allison Tyndall, Julia Pilowsky, Suzy Ladanyi, Vanya Ripley, Sally Duncan, R Robins-Browne EJ Elliott, Suzy Russell, Naomi Hammond, Kris Rogers, Pamela Wall, Sheila Jala, Caryl Barnes
article en

Abstract

Introduction: Patients often experience sleep disruption in hospital, which may prolong recovery and healing. Previous studies focusing on behavior change have ignored specific context implementation factors, resulting in limited improvements in patient sleep. Objectives: The aim of this study was to improve patient sleep through the implementation of a standardized patient self-report sleep assessment scale, together with a comprehensive evidence-based nocturnal sleep guideline for patients. Methods: This study was conducted in two acute care wards in a 500-bed public tertiary referral hospital in Sydney, Australia. The study used the seven-phase JBI Evidence Implementation Framework, which is grounded in an audit and feedback process. Data were gathered through assessment of patients’ self-reported sleep and semi-structured interviews with nurses and doctors. The resulting data and the Behaviour Change Wheel (BCW) informed the context-specific implementation strategy. A follow-up audit was then used to measure the effectiveness of the implementation strategy. Results: Patients’ self-reported quality of sleep remained unchanged; however, their perception of sound levels was lower post-implementation (median 49.0 [20.5] versus 23.0 [16.2–54.0]). Use of the sleep assessment scale was low. The main barrier was that nurses perceived documentation as a burden. Doctors reported that they were unaware of the sleep assessment scale and guideline post-implementation. Conclusions: Despite there being little uptake of the sleep assessment scale, there was evidence of some changes in practice relevant to sound reduction, which is key to improving sleep quality in hospitals. Documentation burden was a barrier for the uptake of the sleep assessment scale. Spanish abstract: http://links.lww.com/IJEBH/A581

JBI Evidence Implementation
University of Technology Sydney (AU), The University of Sydney (AU), Royal North Shore Hospital (AU), UNSW Sydney (AU), The George Institute for Global Health (AU), Northern Sydney Local Health District (AU)
Openalex Percentile: Top 4%
Sleep and related disorders
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