J Korean Acad Nurs.  2012 Oct;42(5):719-729. 10.4040/jkan.2012.42.5.719.

Effects of Hospital Nurse Staffing on in-hospital Mortality, Pneumonia, Sepsis, and Urinary Tract Infection in Surgical Patients

Affiliations
  • 1Department of Nursing, Eulji University, Seongnam, Korea.
  • 2College of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.
  • 3Department of Nursing, Soonchunhyang University, Cheonan, Korea.
  • 4Department of Health Promotion & Management, National Health Insurance Corporation, Seoul, Korea.
  • 5Department of Nursing, Gachon University, Seongnam, Korea. jkim@gachon.ac.kr

Abstract

PURPOSE
This study was done to examine relationships between nurse staffing level and postsurgical patient outcomes using inpatient database from the National Health Insurance.
METHODS
Records of 111,491 patients who received one of 12 types of surgery between January and December, 2009 were identified and analyzed in this study. Nurse staffing level was measured using adjusted nurse staffing grades from 0 to 7. Patient outcomes were defined as in-hospital mortality, or pneumonia, sepsis, or urinary tract infection after surgery. Logistic regression analyses estimated by Generalized Estimation Model, were used to analyze the association between nurse staffing level and patient outcomes.
RESULTS
An inverse relationship was found between nurse staffing and patient mortality. Compared with patients who were cared for in hospitals with the highest nurse staffing (Grades 0-1), increases in the odds of dying were found in those with Grades 6-7 [OR (odds ratio)=2.99, 95% CI (confidence interval)=1.94-4.60], those with Grades 4-5 (OR=1.78, 95% CI=1.24-2.57) and those with Grades 2-3 (OR=1.57, 95% CI=1.25-1.98). Lower nurse staffing level was also associated with higher number of cases in pneumonia and sepsis.
CONCLUSION
Policies for providing adequate nurse staffing is required to enhance quality of care and lead to better perioperative patient outcomes.

Keyword

Personnel staffing; Nursing administration research; Outcomes research

MeSH Terms

Adult
Aged
Aged, 80 and over
Female
*Hospital Mortality
Hospitals
Humans
Logistic Models
Male
Middle Aged
Nursing Staff, Hospital/*supply & distribution
Odds Ratio
Outcome Assessment (Health Care)
Pneumonia/etiology/*mortality
Sepsis/etiology/*mortality
Severity of Illness Index
Surgical Procedures, Operative/adverse effects
Urinary Tract Infections/etiology/*mortality

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