Differences in percutaneous injury patterns in a multi-hospital system

Infect Control Hosp Epidemiol. 2003 Oct;24(10):731-6. doi: 10.1086/502121.

Abstract

Objective: Determine differences in patterns of percutaneous injuries (PIs) in different types of hospitals.

Design: Case series of injuries occurring from 1997 to 2001.

Setting: Large midwestern healthcare system with a consolidated occupational health database from 9 hospitals, including rural and urban, community and teaching (1 pediatric, 1 adult) facilities, ranging from 113 to 1,400 beds.

Participants: Healthcare workers injured between 1997 and 2001.

Results: Annual injury rates for all hospitals decreased during the study period from 21 to 16.5/100 beds (chi-square for trend = 22.7; P = .0001). Average annual injury rates were higher at larger hospitals (22.5 vs 9.5 PIs/100 beds; P = .0001). Among small hospitals, rural hospitals had higher rates than did urban hospitals (14.87 vs 8.02 PIs/100 beds; P = .0143). At small hospitals, an increased proportion of injuries occurred in the emergency department (13.7% vs 8.6%; P = .0004), operating room (32.3% vs 25.4%; P = .0002), and ICU (12.3% vs 9.4%; P = .0225), compared with large hospitals. Rural hospitals had higher injury rates in the radiology department (7.7% vs 2%; P = .0015) versus urban hospitals. Injuries at the teaching hospitals occurred more commonly on the wards (28.8% vs 24%; P = .0021) and in ICUs (11.4% vs 7.8%; P = .0006) than at community hospitals. Injuries involving butterfly needles were more common at pediatric versus adult hospitals (15.8% vs 6.5%; P = .0001). The prevalence of source patients infected with HIV and hepatitis C was higher at large hospitals.

Conclusions: Significant differences exist in injury rates and patterns among different types of hospitals. These data can be used to target intervention strategies.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Database Management Systems
  • Hospitals / classification
  • Hospitals / statistics & numerical data
  • Humans
  • Missouri / epidemiology
  • Multi-Institutional Systems / statistics & numerical data*
  • Needlestick Injuries / epidemiology*
  • Occupational Health / statistics & numerical data*
  • Personnel, Hospital*