A methodological approach for register-based evaluation of cost and outcomes in health care

Ann Med. 2011 Jun:43 Suppl 1:S4-13. doi: 10.3109/07853890.2011.586364.

Abstract

Introduction: In health care, measures of performance are needed at producer level for improving the treatment processes and at system level for steering purposes. In addition, measures that enable reliable comparisons of producers with respect to each other should encourage them to develop their treatment processes to attain better positioning in benchmarking.

Methods: The main innovation of the Performance, Effectiveness, and Costs of Treatment episodes (PERFECT) project is to measure performance using existing linkable information available from registers within well-defined care episodes in a whole population. Finnish health care and related registers are used for constructing the disease-specific databases, with rich content on treatment processes and complete follow-up data.

Results: The PERFECT project has developed numerous performance indicators that can be used to evaluate health policy actions as well as to create regional and hospital-level benchmarking data. In PERFECT, the idea is to eliminate individual-level variation from the performance indicators by using individual-level data and proper risk adjustment methods. The focus of our interest is in the variation at the producer or regional level.

Conclusions: Our experience shows that the utilization of population-level health care registers with an episode-of-care approach enables a continual system and producer-level performance measurement.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Benchmarking / statistics & numerical data
  • Delivery of Health Care / statistics & numerical data*
  • Episode of Care
  • Female
  • Finland
  • Health Care Costs / statistics & numerical data*
  • Humans
  • Male
  • Outcome and Process Assessment, Health Care / statistics & numerical data*
  • Registries / statistics & numerical data*
  • Risk Adjustment / statistics & numerical data