Using Cognitive-Behavioral Change and Mobile Technology to Improve RN Sleep and Fatigue
RN-SLEEP
1 other identifier
interventional
76
1 country
1
Brief Summary
The U.S. registered nurse (RN) workforce is the largest in the Healthcare and Social Assistance Sector and is at high risk for injuries and errors due to poor sleep and fatigue. Shift work (i.e., nights, evenings, rotating shifts) can contribute to RNs not obtaining adequate, restful sleep. Work intensity, including heavy physical and emotional workloads of caring for critically ill patients, can contribute to job stress, resulting in spill-over effects at home when RNs experience difficulties falling and staying asleep. To address work and home sleep barriers, this project proposes the development and pilot testing of RN-SLEEP, a skill-building mobile application designed to improve sleep. RN-SLEEP will provide a convenient, flexible space to learn sleep-enhancing evidence-based shift work-specific strategies, and cognitive-behavioral methods, (e.g., goal setting, relaxation training). Using NIOSH's Research 2 Practice (R2P) approach, the study team will collaborate with participants (N=18-24) from an RN union to refine RN-SLEEP content, integrating current sleep literature (including National Institute for Occupational Safety and Health \[NIOSH\] material) with cognitive-behavioral based training. RN-SLEEP will be pilot-tested using a two-group pretest-posttest study design, comparing sleep outcome measures (duration, quality) of RN-SLEEP participant users (n=38) with participants from an education control group (n=38). Data trends on fatigue, what drives behavior change (beliefs and self-efficacy), and other sleep outcome measures (timing, regularity, efficiency, daytime sleepiness) will be explored. RN-SLEEP goals align with Healthy People 2030, NIOSH's strategic goal to promote safe and healthy work design and well-being through two NIOSH Healthcare and Social Assistance Sector/Healthy Work Design Cross-Sector (HCSA/HWD) intermediate goals. HWD goal 7.2A is to conduct intervention research addressing fatigue (poor sleep sequela) due to suboptimal work designs (shift work) in the healthcare industry. HCSA/HWD goal 7.12A prioritizes interventions designed to impact work and non-work contributors to safety and health. This RN-SLEEP intervention aims to improve sleep by building skills that help RNs overcome obstacles to sleep from work and home, thus improving health and safety. Immediate outputs include a mobile app, designed and tested in collaboration with RNs, to improve sleep. Study results will be disseminated through our union collaborators, nursing conferences and journal publications, and our University's NIOSH-sponsored Education and Research Center social media outlets. Intermediate outcomes include enhancing RN sleep through training rarely available in nursing schools and traditional hospital health and safety training programs. Improving sleep can reduce fatigue and may decrease occupational injuries and errors. RN-SLEEP is adaptable, where future versions could be modified to meet the needs of other HCSA workers (i.e., nursing aides) and workers in other industries (e.g., oil and gas) scheduled to work non-standard work hours. End outcomes include integrating RN-SLEEP into a broader hospital organization intervention to mitigate fatigue risks.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2024
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 18, 2023
CompletedFirst Posted
Study publicly available on registry
October 27, 2023
CompletedStudy Start
First participant enrolled
February 15, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 31, 2027
April 30, 2026
April 1, 2026
3 years
October 18, 2023
April 29, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Sleep Duration
Sleep duration will be measured using a 7-day data collection of movement via actigraphy. Daily sleep diaries will support the actigraphy data.
Baseline and post-intervention (4 and 8-weeks)
Sleep Quality
Sleep quality will be measured via self-report survey, the PROMIS Sleep Related Disturbance.
Baseline and post-intervention (4 and 8-weeks)
Secondary Outcomes (10)
Sleep timing
Baseline and post-intervention (4 and 8-weeks)
Sleep regularity
Baseline and post-intervention (4 and 8-weeks)
Sleep efficiency
Baseline and post-intervention (4 and 8-weeks)
daytime sleepiness
Baseline and post-intervention (4 and 8-weeks)
Sleep efficacy
Baseline and post-intervention (4 and 8-weeks)
- +5 more secondary outcomes
Other Outcomes (1)
Study feasibility
post-intervention (4 and 8-weeks)
Study Arms (2)
RN-SLEEP
EXPERIMENTALParticipants assigned to the RN-SLEEP group will access the training program via a mobile app for one month. The training app will include sleep physiology content, shift work strategies to promote sleep, cognitive behavior therapy for insomnia components, and skill-building techniques to support behavior modification.
Healthy Habit
ACTIVE COMPARATORParticipants assigned to the Healthy Habit education control group will use a mobile app for one month focused on other healthy behaviors such as exercise tracking.
Interventions
RN-SLEEP is a training program delivered via mobile application and designed to help improve the sleep of nurses who engage in shift work. RN-SLEEP aims to include training on strategies for sleeping while working shift work, basics of sleep science and physiology, behavior change components (i.e., goal setting), and components of cognitive behavioral therapy for insomnia (i.e., relaxation).
Healthy habit app (i.e., exercise tracking) to act as a control arm for the RN-SLEEP intervention
Eligibility Criteria
You may qualify if:
- working night shift for a minimum of 6-months
- have access to a smart phone.
You may not qualify if:
- who are pregnant or the parent of child(ren) less than 1 year of age
- who have a diagnosed sleep disorder.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Cincinnatilead
- Washington State Universitycollaborator
Study Sites (1)
University Of Cincinnati
Cincinnati, Ohio, 45221, United States
Related Publications (1)
Hittle BM, Wong IS, Smith C, Honn KA, Hamill-Skoch S, Theil A, Lambert J, Gillespie GL. Understanding Nurses' Needs Regarding Tailored, Evidence-Based Sleep Education and Training. J Adv Nurs. 2026 Apr;82(4):3402-3413. doi: 10.1111/jan.70088. Epub 2025 Jul 18.
PMID: 40679305DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
October 18, 2023
First Posted
October 27, 2023
Study Start
February 15, 2024
Primary Completion (Estimated)
January 31, 2027
Study Completion (Estimated)
January 31, 2027
Last Updated
April 30, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
We will make de-identified data available to others by request. De-identified data will be shared with University of Cincinnati, College of Nursing undergraduate honors students, MSN students, DNP students, PhD students, post-doctoral students, and interested faculty members. Interested parties from other institutions may also request de-identified data. We will create a dataset from the raw data to be shared. This may include de-identified actigraphy reports and survey data. Due to the specific aim of the focus group sessions, we do not plan to share transcripts or coded data due to the proprietary product being created from feedback gained during focus group sessions. Close collaboration with Dr. Hittle will be necessary for the use of shared resources by other investigators, as well as proof of IRB approval and agreement to not share data files.