Process-based measures of quality : The need for detailed clinical data in large health care databases.
Regenstrief Conference. Marshall, IN, USA, 1996/09/04.
The Institute of Medicine defines health care quality as increasing « the likelihood of desired health outcomes » using « services ... consistent with current professional knowledge. » This definition implies that quality measures can be based on either achieving health care outcomes or completing processes that experts agree have been shown by scientific evidence to improve outcomes.
Process-based measures are especially suitable when the user needs to know how to improve quality, when provider comparisons show equivalent outcomes but all providers should improve processes, when measures are needed to evaluate health care that is intended to improve long-term outcomes, or when the contribution of individual providers (especially providers who have a small number of cases) needs to be defined.
However, many different process-based measures are needed to comprehensively assess quality, and many process-based measures require detailed clinical data currently found only in medical records.
Therefore, the expense of abstracting records is a barrier to process-based measurement.
Fortunately, large-scale process-based measures are becoming more feasible because the required clinical data are being included in large databases. (...)
Mots-clés Pascal : Base donnée, Soin intégré, Critère qualité, Méthode calcul, Amélioration procédé, Etude comparative, Choix partenaire, Relation médecin malade, Homme, Informatique, Organisation santé
Mots-clés Pascal anglais : Database, Managed care, Quality criterion, Computing method, Process improvement, Comparative study, Mate selection, Physician patient relation, Human, Computer science, Public health organization
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0051834
Code Inist : 002B28E. Création : 14/05/1998.