Nurses' work schedule characteristics, nurse staffing, and patient mortality
- PMID: 21127449
- DOI: 10.1097/NNR.0b013e3181fff15d
Nurses' work schedule characteristics, nurse staffing, and patient mortality
Abstract
Background: Although nurse staffing has been found to be related to patient mortality, there has been limited study of the independent effect of work schedules on patient care outcomes.
Objective: To determine if, in hospitals where nurses report more adverse work schedules, there would be increased patient mortality, controlling for staffing.
Methods: A cross-sectional design was used, with multilevel data from a 2004 survey of 633 nurses working in 71 acute nonfederal hospitals in North Carolina and Illinois. Mortality measures were the risk-adjusted Agency for Healthcare Research and Quality Inpatient Quality Indicators, and staffing data were from the American Hospital Association Annual Survey of hospitals. Principal components analysis was conducted on the 12 work schedule items to create eight independent components. Generalized estimating equations were used to examine the study hypothesis.
Results: Work schedule was related significantly to mortality when staffing levels and hospital characteristics were controlled. Pneumonia deaths were significantly more likely in hospitals where nurses reported schedules with long work hours (odds ratio [OR] = 1.42, 95% confidence interval [CI] = 1.17-1.73, p < .01) and lack of time away from work (OR = 1.24, 95% CI = 1.03-1.50, p < .05). Abdominal aortic aneurysm was also associated significantly with the lack of time away (OR = 1.39, 95% CI = 1.11-1.73, p < .01). For patients with congestive heart failure, mortality was associated with working while sick (OR = 1.39, 95% CI = 1.13-1.72, p < .01), whereas acute myocardial infarction was associated significantly with weekly burden (hours per week; days in a row) for nurses (OR = 1.33, 95% CI = 1.09-1.63, p < .01).
Discussion: In addition to staffing, nurses' work schedules are associated with patient mortality. This suggests that work schedule has an independent effect on patient outcomes.
Similar articles
-
Nurse staffing and patient mortality in intensive care units.Nurs Res. 2008 Sep-Oct;57(5):322-30. doi: 10.1097/01.NNR.0000313498.17777.71. Nurs Res. 2008. PMID: 18794716
-
Long hours for nurses affect patient mortality.Am J Nurs. 2011 Apr;111(4):14-5. doi: 10.1097/01.NAJ.0000396542.33383.e6. Am J Nurs. 2011. PMID: 21451283 No abstract available.
-
Assessing nursing staffing ratios: variability in workload intensity.Policy Polit Nurs Pract. 2007 Feb;8(1):7-19. doi: 10.1177/1527154407300999. Policy Polit Nurs Pract. 2007. PMID: 17470768
-
Patient safety in hospital acute care units.Annu Rev Nurs Res. 2006;24:103-25. Annu Rev Nurs Res. 2006. PMID: 17078412 Review.
-
Nurse staffing and adverse patient outcomes: a systems approach.Nurs Outlook. 2001 Mar-Apr;49(2):78-85. doi: 10.1067/mno.2001.114381. Nurs Outlook. 2001. PMID: 11309562 Review. No abstract available.
Cited by
-
Factors Affecting the Field Adaptation of Early-Stage Nurses in South Korea.Healthcare (Basel). 2024 Jul 19;12(14):1447. doi: 10.3390/healthcare12141447. Healthcare (Basel). 2024. PMID: 39057590 Free PMC article.
-
Well-Being, Occupational Fatigue, and Sleep Quality among Filipino Nurses working during COVID-19.Asia J Nurs Educ Res. 2023 Jan-Mar;13(1):67-72. doi: 10.52711/2349-2996.2023.00016. Epub 2023 Mar 16. Asia J Nurs Educ Res. 2023. PMID: 37581171 Free PMC article.
-
Nurse's experience working 12-hour shift in a tertiary level hospital in Qatar: a mixed method study.BMC Nurs. 2023 Jun 20;22(1):213. doi: 10.1186/s12912-023-01371-0. BMC Nurs. 2023. PMID: 37340432 Free PMC article.
-
Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review.BMJ Open. 2022 Oct 12;12(10):e064050. doi: 10.1136/bmjopen-2022-064050. BMJ Open. 2022. PMID: 36223964 Free PMC article.
-
Effects of 90 Min Napping on Fatigue and Associated Environmental Factors among Nurses Working Long Night Shifts: A Longitudinal Observational Study.Int J Environ Res Public Health. 2022 Aug 1;19(15):9429. doi: 10.3390/ijerph19159429. Int J Environ Res Public Health. 2022. PMID: 35954787 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
