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Nurse Staffing Effects on Patient Outcomes: Safety-Net and Non-Safety-Net Hospitals
Abstract
BACKGROUND: Nurse staffing has been linked to hospital patient outcomes; however, previous results were inconsistent because of variations in measures of staffing and were only rarely specific to types of patient care units. OBJECTIVE: To determine the relationship between nurse staffing in general and intensive care units and patient outcomes and determine whether safety net status affects this relationship. RESEARCH DESIGN: A cross-sectional design used data from hospitals belonging to the University HealthSystem Consortium. SUBJECTS: Data were available for approximately 1.1 million adult patient discharges and staffing for 872 patient care units from 54 hospitals. MEASURES: Total hours of nursing care [Registered Nurses (RNs), Licensed Practical Nurses, and assistants] determined per inpatient day (TotHPD) and RN skill mix were the measures of staffing; Agency for Healthcare Research and Quality risk-adjusted safety and quality indicators were the outcome measures. RESULTS: TotHPD in general units was associated with lower rates of congestive heart failure mortality (P<0.05), failure to rescue (P<0.10), infections (P<0.01), and prolonged length of stay (P<0.01). RN skill mix in general units was associated with reduced failure to rescue (P<0.01) and infections (P<0.05). TotHPD in intensive care units was associated with fewer infections (P<0.05) and decubitus ulcers (P<0.10). RN skill mix was associated with fewer cases of sepsis (P<0.01) and failure to rescue (P<0.05). Safety-net status was associated with higher rates of congestive heart failure mortality, decubitus ulcers, and failure to rescue. CONCLUSIONS: Higher nurse staffing protected patients from poor outcomes; however, hospital safety-net status introduced complexities in this relationship.
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Cites
Hospital Nurse Staffing and Patient Mortality, Nurse Burnout, and Job Dissatisfaction
Aiken, L. H. (2002) · JAMA · doi:10.1001/jama.288.16.1987 · Cited by 5,226
Nurse working conditions and patient safety outcomes.
Stone, P. W., Mooney-Kane, C., Larson, E. L., Horan, T., Glance, L. G., Zwanziger, J., & Dick, A. W. (2007) · Medical Care · doi:10.1097/mlr.0b013e3180383667 · Cited by 360
Cited by
(2012) · JONA: The Journal of Nursing Administration · doi:10.1097/01.nna.0000420390.87789.67 · Cited by 386
Chronic hospital nurse understaffing meets COVID-19: an observational study
Lasater, K. B., Aiken, L. H., Sloane, D. M., French, R., Martin, B., Reneau, K., Alexander, M., & McHugh, M. D. (2021) · BMJ Quality & Safety · doi:10.1136/bmjqs-2020-011512 · Cited by 312
Griffiths, P., Ball, J., Drennan, J., Dall’Ora, C., Jones, J., Maruotti, A., Pope, C., Recio Saucedo, A., & Simon, M. (2016) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2016.03.012 · Cited by 285
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
Association of registered nurse and nursing support staffing with inpatient hospital mortality.
Needleman, J., Liu, J., Shang, J., Larson, E. L., & Stone, P. W. (2020) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-009219 · Cited by 115
Metadata
- Authors
- Blegen, M. A., Goode, C. J., Spetz, J., Vaughn, T., & Park, S. H.
- Venue
- Medical Care
- Published
- 2011-04
- Volume
- 49
- Issue
- 4
- Pages
- 406-414
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W1727344339
- Cited by
- 198
- References
- 2
- FWCI
- 46.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Blegen, M. A., Goode, C. J., Spetz, J., Vaughn, T., & Park, S. H. (2011). Nurse Staffing Effects on Patient Outcomes: Safety-Net and Non-Safety-Net Hospitals. Medical Care. https://doi.org/10.1097/mlr.0b013e318202e129
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.