Estimation of severe drug-drug interaction warnings by medical specialist groups for Austrian nationwide eMedication

Appl Clin Inform. 2014 Jul 2;5(3):603-11. doi: 10.4338/ACI-2014-04-RA-0030. eCollection 2014.

Abstract

Objective: The objective of this study is to estimate the amount of severe drug-drug interaction warnings per medical specialist group triggered by prescribed drugs of a patient before and after the introduction of a nationwide eMedication system in Austria planned for 2015.

Methods: The estimations of interaction warnings are based on patients' prescriptions of a single health care professional per patient, as well as all patients' prescriptions from all visited health care professionals. We used a research database of the Main Association of Austrian Social Security Organizations that contains health claims data of the years 2006 and 2007.

Results: The study cohort consists of about 1 million patients, with 26.4 million prescribed drugs from about 3,400 different health care professionals. The estimation of interaction warnings show a heterogeneous pattern of severe drug-drug-interaction warnings across medical specialist groups.

Conclusion: During an eMedication implementation it must be taken into consideration that different medical specialist groups require customized support.

Keywords: Drug interactions; medical informatics; public health informatics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adverse Drug Reaction Reporting Systems / statistics & numerical data*
  • Austria / epidemiology
  • Clinical Pharmacy Information Systems / statistics & numerical data*
  • Drug Interactions*
  • Drug-Related Side Effects and Adverse Reactions / epidemiology*
  • Electronic Prescribing / statistics & numerical data*
  • Humans
  • Medical Order Entry Systems / statistics & numerical data*
  • Medicine / statistics & numerical data*
  • Prevalence