title: Potentially ineffective care. A new outcome to assess the limits of critical care.
abstract: OBJECTIVE
  To examine the limits of the effectiveness of critical care through the study of patients for whom it was ineffective.
  
  
  METHODS
  We studied the relationship between resource use and long-term outcome (2-year follow-up) in 402 consecutively admitted critical care patients to develop a benchmark for ineffective applications of critical care. We defined an outcome called potentially ineffective care (PIC), developed and evaluated a model with an independent data set to predict PIC from a patient's response to treatment, and estimated the economic effects of limiting care after a prediction of PIC.
  
  
  METHODS
  The combined medical and surgical intensive care unit at a 600-bed university teaching hospital.
  
  
  METHODS
  Two groups of 402 consecutively admitted critical care patients, one from 1989, the other from 1991.
  
  
  RESULTS
  Based on observations from a two-dimensional plot of resource use vs benefit for 402 critical care patients, PIC was defined as resource use in the upper 25th percentile and survival for less than 100 days after discharge. Thirteen percent of the patients fell into the PIC category and used 32% of the resources. A product of the APACHE risk estimates on days 1 and 5 of at least 0.35 predicted 37% of PIC outcomes with a specificity of 98%. In a second data set, PIC outcome prediction had a sensitivity of 43% and a specificity of 94%, and a positive predictive value of 80%. For the hospital studied, reduction of intensity of treatment after a prediction of a PIC outcome would result in a reduction of hospital charges in the range of $1.8 million to $5 million per year.
  
  
  CONCLUSIONS
  Patients in the PIC category consumed a large portion of the resources devoted to critical care at an academic teaching hospital. We suggest a change in focus from assessment of the quality of critical care and risk-adjusted mortality to an assessment of ineffective care based on outcome and resource use and a patient's response to treatment over time.
mesh_terms: D018806:APACHE; D003365:Costs and Cost Analysis; D003422:Critical Care / Q000191:economics / Q000706:statistics & numerical data; D006746:Hospital Bed Capacity, 500 and over; D017052:Hospital Mortality; D006785:Hospitals, University / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D007362:Intensive Care Units / Q000191:economics / Q000706:statistics & numerical data*; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D016019:Survival Analysis; D017211:Treatment Failure