The Characteristics of Working Overtime and Their Associations With Nurse and Patient Outcomes: A Systematic Review Protocol

Main Article Content

Raouaa Braiki
https://orcid.org/0000-0002-7765-9589
Christian Rochefort
https://orcid.org/0000-0002-0035-8382

Abstract

Introduction: Healthcare systems often use overtime to manage nursing shortage and to provide continuous and required nursing care. Studies have examined the impact of working overtime on both nurse and patient outcomes with conflicting results.
 
Objectives: We aim to summarize existing evidence on the association between overtime work and nurse and patient outcomes; and to identify avenues for future research.
 
Method: A systematic search of MEDLINE, CINAHL, PsycINFO, Scopus, Campbell, and Cochrane Library will be conducted to identify relevant studies on the association between overtime and nurse and patient outcomes. The period covered will be from April 2013 to May 2025. Two independent reviewers will perform screening, study selection, and data extraction. A qualitative synthesis of the available evidence will be performed. The results will be reported in tables.
 
Discussion and Research Spin-offs: This systematic review will inform nursing research and practice and provide valuable recommendations that can be used to guide policies and managers’ decisions regarding working overtime in nursing settings.

Article Details

How to Cite
Braiki, R., & Rochefort, C. (2025). The Characteristics of Working Overtime and Their Associations With Nurse and Patient Outcomes: A Systematic Review Protocol. Science of Nursing and Health Practices. https://doi.org/10.62212/snahp.165
Section
Research protocol articles

References

Bae, S. H., & Fabry, D. (2014). Assessing the relationships between nurse work hours/overtime and nurse and patient outcomes: systematic literature review. Nursing outlook, 62(2), 138–156. https://doi.org/10.1016/j.outlook.2013.10.009

Bannai, A., & Tamakoshi, A. (2014). The association between long working hours and health: a systematic review of epidemiological evidence. Scandinavian journal of work, environment & health, 40(1), 5–18. https://doi.org/10.5271/sjweh.3388

Berney, B., & Needleman, J. (2006). Impact of nursing overtime on nurse-sensitive patient outcomes in New York hospitals, 1995-2000. Policy, politics & nursing practice, 7(2), 87–100. https://doi.org/10.1177/1527154406291132

Canadian Federation of Nurses Unions. (2022). Member Survey Summary Report January 2022. https://nursesunions.ca/wp-content/uploads/2022/02/Viewpoints_Survey_Results_2022_January_EN_FINAL-1.pdf

Carrière, G., Park, J., Deng, Z., & and Kohen, D. (2020, September 1). Overtime work among professional nurses during the COVID-19 Pandemic (Catalogue no. 45280001). Statistics Canada. https://publications.gc.ca/collections/collection_2020/statcan/45-28/CS45-28-1-2020-72-eng.pdf

Caruso, C. C., Baldwin, C. M., Berger, A., Chasens, E. R., Edmonson, J. C., Gobel, B. H., Landis, C. A., Patrician, P. A., Redeker, N. S., Scott, L. D., Todero, C., Trinkoff, A., & Tucker, S. (2019). Policy brief: Nurse fatigue, sleep, and health, and ensuring patient and public safety. Nursing outlook, 67(5), 615–619. https://doi.org/10.1016/j.outlook.2019.08.004

Dickason, R., & Dumas, M. (2021). Working hours and overtime: insights from the perspective of affects. Management & Avenir - Santé, 1(8), 73–102. https://doi.org/10.3917/mavs.008.0073

Geiger-Brown, J., Trinkoff, A., & Rogers, V. E. (2011). The impact of work schedules, home, and work demands on self-reported sleep in registered nurses. Journal of occupational and environmental medicine, 53(3), 303–307. https://doi.org/10.1097/JOM.0b013e31820c3f87

Government of Canada. (2024, June 3). Hours of work - Federally regulated workplaces.

https://www.canada.ca/en/services/jobs/workplace/federal-labour-standards/work-hours.html#h3.01.01

Härmä, M., Koskinen, A., Sallinen, M., Kubo, T., Ropponen, A., & Lombardi, D. A. (2020). Characteristics of working hours and the risk of occupational injuries among hospital employees: a case-crossover study. Scandinavian journal of work, environment & health, 46(6), 570–578. https://doi.org/10.5271/sjweh.3905

Li, F., & Tian, L. (2024). Translation Practice and Competence Enhancement in the Age of AI: Applying ChatGPT to Translation Education. In Kubincová, Z., et al. (Eds.), Emerging Technologies for Education. SETE 2023. Lecture Notes in Computer Science, vol 14606. Springer. https://doi.org/10.1007/978-981-97-4243-1_17

Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., Sears, K., Sfetcu, R., Currie, M., Lisy, K., Qureshi, R., Mattis, P., & Mu, P. (2020). Systematic reviews of etiology and risk. In Aromataris E., Lockwood C., Porritt K., Pilla B., Jordan Z. (Eds.), JBI Manual for Evidence Synthesis. JBI; 2024. https://synthesismanual.jbi.global. https://doi.org/10.46658/JBIMES-24-06

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed.), 372, n71. https://doi.org/10.1136/bmj.n71

Stokowski, L. A., McBride, M., & Berry, E. (2018). Medscape RN/LPN Compensation Report, 2018.

Stone, P. W., Mooney-Kane, C., Larson, E. L., Horan, T., Glance, L. G., Zwanziger, J., & Dick, A. W. (2007). Nurse working conditions and patient safety outcomes. Medical care, 45(6), 571–578. https://doi.org/10.1097/MLR.0b013e3180383667

The EndNote Team. (2013). EndNote (version EndNote X9) [64 bit]. Clarivate Analytics. https://endnote.com/

Trinkoff, A. M., Johantgen, M., Storr, C. L., Gurses, A. P., Liang, Y., & Han, K. (2011). Nurses’ work schedule characteristics, nurse staffing, and patient mortality. Nursing research, 60(1), 1–8. https://doi.org/10.1097/NNR.0b013e3181fff15d

Veritas Health Innovation. (2023). Covidence [Computer software]. https://www.covidence.org/

Watanabe, M., & Yamauchi, K. (2016). Psychosocial Factors of Overtime Work in Relation to Work-Nonwork Balance: a Multilevel Structural Equation Modeling Analysis of Nurses Working in Hospitals. International Journal of Behavioral Medicine, 23(4), 492–500. https://doi.org/10.1007/s12529-016-9563-x

Watanabe, M., & Yamauchi, K. (2018). The effect of quality of overtime work on nurses’ mental health and work engagement. Journal of nursing management, 26(6), 679–688. https://doi.org/10.1111/jonm.12595

Watanabe, M., & Yamauchi, K. (2019). Subtypes of overtime work and nurses’ fatigue, mental status, and work engagement: A latent class analysis of Japanese hospital nurses. Journal of advanced nursing, 75(10), 2122–2132. https://doi.org/10.1111/jan.13991