Mortality rates as a measure of quality and safety, "caveat emptor"

Am J Med Qual. 2010 May-Jun;25(3):197-201. doi: 10.1177/1062860609357467. Epub 2010 Jan 21.

Abstract

The objective of this study was to demonstrate the impact of a single ICD-9 (International Statistical Classification of Diseases and Related Health Problems, Version 9) code on the observed-to-expected mortality ratios for acute care hospitals, calculated using administrative data. The study was a retrospective analysis of mortality data and prospective measurement of the impact of a change in coding on expected mortality rates. Measurement included overall mortality observed-to-expected mortality index for 2 hospitals and rate of use of the palliative care ICD-9 code. The main result was that both retrospective and prospective applications of this single ICD-9 code significantly reduced observed-to-expected mortality ratios. Both regulators and hospitals need to be aware of the impact of the quality of coding on publicly reported quality and patient safety data.

MeSH terms

  • Databases, Factual / statistics & numerical data*
  • Forms and Records Control / statistics & numerical data*
  • Hospital Departments / organization & administration
  • Hospital Mortality*
  • Humans
  • International Classification of Diseases
  • Outcome Assessment, Health Care / statistics & numerical data
  • Palliative Care / organization & administration
  • Patient Care Team / organization & administration
  • Quality Indicators, Health Care / statistics & numerical data*
  • Retrospective Studies
  • Risk Assessment / statistics & numerical data
  • Safety Management / statistics & numerical data
  • Survival Rate
  • United States