Nurse understaffing associated with adverse outcomes for surgical admissions

Br J Surg. 2024 Aug 30;111(9):znae215. doi: 10.1093/bjs/znae215.

Abstract

Background: Nurses play a crucial role in maintaining the safety of surgical patients. Few nurse staffing studies have looked specifically at surgical patients to examine the impact of exposure to low staffing on patient outcomes.

Methods: A longitudinal patient analysis was conducted in four organizations in England using routine data from 213 910 admissions to all surgical specialties. Patients' staffing exposures were modelled as counts of understaffed registered nurse and nurse assistant days in the first 5 inpatient days. Understaffing was identified when staffing per patient-day was below the mean for the ward. Cox models were used to examine mortality within 30 days of admission and readmission within 30 days of discharge. Generalized linear models were used to investigate duration of hospital stay and occurrence of hospital-acquired conditions.

Results: Increased exposure to registered nurse understaffing was associated with longer hospital stay and increased risk of deep vein thrombosis, pneumonia, and pressure ulcers. This was also true for nurse assistant understaffing, but the effect sizes tended to be smaller. In the Cox models, there were similarly increased hazards of death for registered nurse understaffing (HR 1.09, 95% c.i. 1.07 to 1.12) and nurse assistant understaffing (HR 1.10, 1.08 to 1.13), whereas the effect size of registered nurse understaffing for readmission (HR 1.02, 1.02 to 1.03) was greater than that seen with nurse assistants (HR 1.01, 1.01 to 1.02).

Conclusion: Understaffing by both registered nurses and nursing assistants is associated with increased risks of a range of adverse events, and generally larger effects are seen with registered nurse understaffing.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • England / epidemiology
  • Female
  • Hospital Mortality
  • Humans
  • Length of Stay* / statistics & numerical data
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Nursing Staff, Hospital* / statistics & numerical data
  • Patient Readmission* / statistics & numerical data
  • Personnel Staffing and Scheduling*
  • Pneumonia / epidemiology
  • Postoperative Complications / epidemiology
  • Postoperative Complications / etiology
  • Pressure Ulcer / epidemiology
  • Venous Thrombosis / epidemiology