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Home > Studies > 2000 ICU study > Methodology

100 Top Hospitals™:  
ICU Benchmarks for Success — 2000

Methodology

Because ICU patients vary greatly in both severity of illness and underlying medical problems, the traditional variables used in our statistical models would not have been sufficient to explain the observed variation among hospitals. For this reason, we have explicitly tailored our analysis to address the unique variables relevant to the ICU patient population.

THE DATABASE: The data used in the 100 Top Hospitals™: ICU Benchmarks for Success study are from Solucient's DRG (diagnosis-related group) and hospital databases for 1998 and 1999, the two most recent years available.

Data used to calculate the clinical measures for this study are from the DRG database. This database is based on the publicly available MedPAR (Medicare Provider Analysis and Review) data set from the Health Care Financing Administration. Data from Solucient's hospital database are also used to calculate hospital-specific cost-to-charge ratios that are applied to ICU-related ancillary revenue center charges. The primary source of these data is the Medicare cost report, which is filed annually by every U.S. hospital that participates in the Medicare program.

THE STUDY GROUP: We stratified our patient population into three groups that cover both a range of ICU-related procedures and diagnoses and capture different clinical pathways through which a patient enters an ICU:

  1. Patients who present with medical diagnoses, such as stroke or pneumonia ("Admission Diagnosis Group").
  2. Patients who enter an ICU after surgery ("Primary Procedure Group").
     
  3. Patients on a mechanical ventilator for at least 4 days ("Mechanical Ventilation Group"). These are most critically ill patients in the study.

THE COMPARISON GROUPS: Teaching and residency programs have a profound effect on the types of patients hospitals treat and the scope of services they provide. When analyzing the performance of an individual hospital, it is crucial to evaluate it against other like hospitals. Accordingly, we assigned each hospital to one of three peer groups according to its teaching and residency program status:

  • Teaching Hospitals with Residency Programs in Critical Care
  • Teaching Hospitals
  • Community Hospitals

PERFORMANCE MEASURES AND SCORING: We compiled a group of nine measures of clinical quality practices and efficiency of operations that we believe constitutes the most reliable, scientific way possible to produce benchmarks for superior hospital performance. The models we used are specifically tailored to ICUs, and the four basic measures-complications, mortality, length of stay, and costs—collectively assess both the clinical outcomes and resource utilization of ICU units. The measures are listed below:

    1. Risk-Adjusted Complications Index for Primary Procedure Group 
    2. Risk-Adjusted Mortality Index for Admission Diagnosis Group 
    3. Risk-Adjusted Mortality Index for Primary Procedure Group 
    4. Risk-Adjusted Mortality Index for Mechanical Ventilation Group 
    5. Adjusted LOS for Admission Diagnosis Group 
    6. Adjusted LOS for Primary Procedure Group 
    7. Adjusted ICU-Related Ancillary Cost per ICU Day for Admission Diagnosis Group 
    8. Adjusted ICU-Related Ancillary Cost per ICU Day for Primary Procedure Group 
    9. Adjusted ICU-Related Ancillary Cost per ICU Day for Mechanical Ventilation Group

Within each of the three peer groups, we scored hospitals on the basis of their performance on each of the measures relative to other hospitals in their group. First, each hospital was given a single score for each of the measures. These scores were then summed to arrive at a total score for each hospital within each of the three peer groups. Because of the vital role of quality of care in assessing a hospital, the scores for the patient mortality and patient complications indices were double weighted, that is, those scores were multiplied by two before being added to the other measures.

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