Factors predicting hospital length-of-stay and readmission after colorectal resection: a population-based study of elective and emergency admissions

BMC Health Serv Res. 2012 Mar 26:12:77. doi: 10.1186/1472-6963-12-77.

Abstract

Background: The impact of developments in colorectal cancer surgery on length-of-stay (LOS) and re-admission have not been well described. In a population-based analysis, we investigated predictors of LOS and emergency readmission after the initial surgery episode.

Methods: Incident colorectal cancers (ICD-O2: C18-C20), diagnosed 2002-2008, were identified from the National Cancer Registry Ireland, and linked to hospital in-patient episodes. For those who underwent colorectal resection, the associated hospital episode was identified. Factors predicting longer LOS (upper-quartile, > 24 days) for elective and emergency admissions separately, and whether LOS predicted emergency readmission within 28 days of discharge, were investigated using logistic regression.

Results: 8197 patients underwent resection, 63% (n = 5133) elective and 37% (n = 3063) emergency admissions. Median LOS was 14 days (inter-quartile range (IQR) = 11-20) for elective and 21 (15-33) for emergency admissions. For both emergency and elective admissions, likelihood of longer LOS was significantly higher in patients who were older, had co-morbidities and were unmarried; it was reduced for private patients. For emergency patients only the likelihood of longer LOS was lower for patients admitted to higher-volume hospitals. Longer LOS was associated with increased risk of emergency readmission.

Conclusions: One quarter of patients stay in hospital for at least 25 days following colorectal resection. Over one third of resected patients are emergency admissions and these have a significantly longer median LOS. Patient- and health service-related factors were associated with prolonged LOS. Longer LOS was associated with increased risk of emergency readmission. The cost implications of these findings are significant.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms / epidemiology
  • Colorectal Neoplasms / physiopathology
  • Colorectal Neoplasms / surgery*
  • Comorbidity
  • Emergency Medical Services / statistics & numerical data*
  • Female
  • Hospitals, Private
  • Hospitals, Public
  • Humans
  • Ireland / epidemiology
  • Length of Stay / statistics & numerical data*
  • Length of Stay / trends
  • Male
  • Middle Aged
  • Patient Readmission / statistics & numerical data*
  • Patient Readmission / trends
  • Population Surveillance
  • Postoperative Complications / etiology
  • Preoperative Care / statistics & numerical data
  • Registries
  • Waiting Lists