[Quality assurance using routine data. Is outcome quality now measurable?]

Unfallchirurg. 2010 Dec;113(12):1047-8, 1050-2. doi: 10.1007/s00113-010-1875-8.
[Article in German]

Abstract

Health service quality in Germany can be shown by the data from the external quality assurance program (BQS) but as these records are limited to the period of in-hospital stay no information about outcome after discharge from hospital can be obtained. Secondary routine administrative data contain information about long-term outcome, such as mortality, subsequent revision and the need for care following surgical treatment due to a hip fracture.Experiences in the use of secondary data dealing with treatment of hip fractures from the BQS are available in our department. In addition we analyzed routine administrative data from the health insurance companies Knappschaft Bahn-See and AOK in a cooperative study with the WidO (scientific institute of the AOK). These routine data clearly show a bias because of poor quality in coding as well as broad interpretation possibilities of some of the ICD-10 codes used.Consequently quality assurance using routine data is less valid than register-based conclusions. Nevertheless medical expertise is necessary to avoid misinterpretation of routine administrative data.

MeSH terms

  • Bias
  • Data Collection / statistics & numerical data*
  • Disability Evaluation
  • Germany
  • Hip Fractures / surgery*
  • Humans
  • Insurance Claim Review / statistics & numerical data*
  • International Classification of Diseases / statistics & numerical data
  • National Health Programs / statistics & numerical data*
  • Osteoarthritis, Hip / surgery
  • Outcome Assessment, Health Care / statistics & numerical data*
  • Postoperative Care / statistics & numerical data
  • Quality Assurance, Health Care / statistics & numerical data*
  • Quality Indicators, Health Care / statistics & numerical data
  • Registries / statistics & numerical data*
  • Reoperation / statistics & numerical data