The association of intensivists with failure-to-rescue rates in outlier hospitals: results of a national survey of intensive care unit organizational characteristics

J Crit Care. 2014 Dec;29(6):930-5. doi: 10.1016/j.jcrc.2014.06.010. Epub 2014 Jun 21.

Abstract

Purpose: Critical care is often an integral part of rescue for patients with surgical complications. We sought to understand critical care characteristics predictive of failure-to-rescue (FTR) performance at the hospital level.

Methods: Using 2009 to 2011 FTR data from Hospital Compare, we identified 144 outlier hospitals with significantly better/worse performance than the national average. We surveyed intensive care unit (ICU) directors and nurse managers regarding physical structures, patient composition, staffing, care protocols, and rapid response teams (RRTs). Hospitals were compared using descriptive statistics and logistic regression.

Results: Of 67 hospitals completing the survey, 56.1% were low performing, and 43.9% were high performing. Responders were more likely to be teaching hospitals (40.9% vs 25.0%; P=.05) but were similar to nonresponders in terms of size, region, ownership, and FTR performance. Poor performers were more likely to serve higher proportions of Medicaid patients (68.4% vs 20.7%; P<.0001) and be level 1 trauma centers (55.9% vs 25.9%; P=.02). After controlling for these 2 characteristics, an intensivist on the RRT (adjusted odds ratio, 4.27; confidence interval, 1.45-23.02; P=.005) and an internist on staff in the ICU (adjusted odds ratio, 2.13; P=.04) were predictors of high performance.

Conclusions: Intensivists on the RRT and internists in the ICU may represent discrete organizational strategies for improving patient rescue. Hospitals with high Medicaid burden fare poorly on the FTR metric.

Keywords: Critical care; Failure to rescue quality; Organizational behavior; Rapid response; Safety.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Clinical Protocols
  • Confidence Intervals
  • Critical Care
  • Female
  • Health Facility Size / standards
  • Health Facility Size / statistics & numerical data
  • Hospital Mortality*
  • Hospitals / standards
  • Hospitals / statistics & numerical data
  • Humans
  • Intensive Care Units / organization & administration*
  • Intensive Care Units / standards
  • Logistic Models
  • Male
  • Medicaid / statistics & numerical data
  • Middle Aged
  • Odds Ratio
  • Organizational Culture
  • Personnel Staffing and Scheduling
  • Postoperative Complications / mortality*
  • United States