This article compares self-report and automated data as measures of dose and duration of antidepressant use in order to assess the feasibility of using automated pharmacy data in a disease management context.
We used self-report and computerized refill data to identify two treatment failures-premature discontinuation of the medication and sub-optimal dosages-at time points 1 and 4 months after initiation of antidepressant therapy.
The sources showed modest agreement regarding identification of current users at I month (kappa=33) ; agreement was high at 4 months (kappa=72).
Agreement regarding dosage adequacy was also higher later in treatment, with kappas of. 52 and. 65 at 1 and 4 months, respectively.
The two sources showed high agreement on an overall measure of acute phase treatment adequacy (kappa=80).
Data completeness was another outcome, with data on current users and overall treatment adequacy generally available from computerized files, data on dose less so.
Automated pharmacy data appear to be a feasible means of monitoring treatment adequacy and quality of care as part of a disease management approach to improving care for populations of patients.
Mots-clés Pascal : Antidépresseur, Prescription médicale, Posologie, Durée, Chimiothérapie, Assistance ordinateur, Source information, Autoévaluation, Epidémiologie, Traitement, Méthodologie, Evaluation, Homme, Etats Unis, Amérique du Nord, Amérique, Etude comparative, Informatique
Mots-clés Pascal anglais : Antidepressant agent, Medical prescription, Posology, Duration, Chemotherapy, Computer aid, Information source, Self evaluation, Epidemiology, Treatment, Methodology, Evaluation, Human, United States, North America, America, Comparative study, Computer science
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0511732
Code Inist : 002B02B02. Création : 23/03/1999.