PHYSICIAN COMPOSITE QUALITY SCORING AND RATING METHODOLOGY

摘要

Methodology for user-friendly scoring and rating relative composite quality performance of physician inpatient care uses various statistical methods. Physicians are respectively assigned multiple z-values to identify relative statistical significance associated with a plurality of quality indicators for various clinical categories using available databases. Once so assigned, each z-value is converted to a z-score to rescale to a standard normal distribution. Such z-scores are converted to a percentile value which serves as the physician's relative quality score for each quality indicator. Percentiles are then averaged across quality indicators to produce a raw composite percentile score, which is then resealed to a standard normal distribution using a z-score transformation for appropriate statistical distribution and equal weighting. Such z-score is then converted to a final percentile value which serves as the physician's terminal composite quality score, and which is assigned to a percentile-based reference range to determine a physician's composite quality rating.

主权项

1. A percentile-based scoring method for evaluating and comparing composite quality performance of physicians for the purpose of identifying opportunities for clinical quality improvement and selecting or deselecting physicians for value-based managed care contracting, comprising the steps of:
calculating respective z-values for a plurality of physicians for each of a plurality of quality measurement indices by clinical category; calculating respective standardized z-scores for each z-value; converting said z-scores for each quality indicator for each physician to percentile scores to identify relative physician performance on individual quality indicators within a population of interest; averaging each physician's percentile scores across all relevant quality indicators by clinical category to produce raw composite percentile scores; resealing all raw composite percentile scores using z-scores to obtain standard normal distribution and equal weighting; and converting the resealed composite z-scores back to percentile scores to provide a terminal composite quality score for each physician.