Relationships between nurse staffing and patient outcomes
Abstract
Nursing studies have shown that nursing care delivery changes affect staff and organizational outcomes, but the effects on client outcomes have not been studied sufficiently. The purpose of this study was thus to examine the effect of nurse staffing variables- daily average hours of care, ratio of RNs to average patient census, workload, and skill mix- on patient outcomes as measured by five adverse occurrences. The adverse patient occurrences included unit rates of patient falls, pressure ulcers, respiratory and urinary tract infections, and patient/family complaints. Variables were measured retrospectively using consistently available data from each month of fiscal year 2000 from 21 medical-surgical nursing care units in a 1394-bed medical center in Taiwan. Data were analyzed by descriptive and multivariate inferential statistics while controlling for patient acuity level. Results showed that workload of nurses is the most powerful predictor of nosocomial infections and hours of care best predicted the five adverse patient outcome indices. Lower adverse outcome rates were more consistently related to a higher proportion of N3 level of RNs. Patients could fare better when N3s play a significant role in the staffing mix. The findings provide further empirical support for the context of implications that patient outcomes are correlated to organizational structure. It obviously illustrates the relationships between nurse staffing and the quality of nursing practice.
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Research has consistently linked nurse staffing and well-being to patient outcomes.
“Research has consistently linked nurse staffing and well-being to patient outcomes, underscoring the need for interventions that can alleviate burdens, improve job satisfaction, and optimize patient care (12, 13).”
From Artificial intelligence in nursing: an integrative review of clinical and operational impacts (2025) · cites this paper as [13]
Cites
Nurse Staffing and Patient Outcomes
Blegen, M. A., Goode, C. J., & Reed, L. (1998) · Nursing Research · doi:10.1097/00006199-199801000-00008 · Cited by 484 · see citing works
McCloskey, J. M. (1998) · Nursing Outlook · doi:10.1016/s0029-6554(98)90047-1 · Cited by 26 · see citing works
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Nursing-sensitive indicators for nursing care: a systematic review (1997-2017).
Oner, B., Zengul, F. D., Oner, N., Ivankova, N. V., Karadag, A., & Patrician, P. A. (2021) · Nursing Open · doi:10.1002/nop2.654 · Cited by 181 · see citing works
Artificial intelligence in nursing: an integrative review of clinical and operational impacts
Hassanein, S., El Arab, R. A., Abdrbo, A., Abu-Mahfouz, M. S., Gaballah, M. K. F., Seweid, M. M., Almari, M., & Alzghoul, H. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1552372 · Cited by 134 · see citing works
- Authors
- Yang, K.-P.
- Venue
- Journal of Nursing Research
- Published
- 2003-09
- Volume
- 11
- Issue
- 3
- Pages
- 149-158
- ISSN
- 1682-3141 (ISSN-L)
- OpenAlex
- W2024759768
- Cited by
- 60
- References
- 2
- Citations by year
- 2025: 2 · 2023: 1 · 2022: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 5 · 2014: 4 · 2013: 4 · 2012: 3
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Nursing Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Health Sciences › Health Professions › General Health Professions › Nursing Roles and Practices
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Keywords
- nurse staffing, patient outcomes, adverse events, nursing workload, skill mix, care hours, patient falls, pressure ulcers, nosocomial infections, patient complaints, nursing care quality, medical-surgical units, patient acuity
- MeSH terms
- Accidental Falls, Pressure Ulcer, Humans, Nursing Staff, Hospital, Personnel Staffing and Scheduling, Quality of Health Care, Regression Analysis, Respiratory Tract Infections, Taiwan, Urinary Tract Infections, Multivariate Analysis, Workload, Outcome Assessment, Health Care, Quality Indicators, Health Care
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