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Am J Health Syst Pharm ; 59(15): 1441-4, 2002 Aug 01.
Article in English | MEDLINE | ID: mdl-12166044

ABSTRACT

The use of pharmacoeconomic data in hospital formulary decisions was explored. Data were collected from pharmacist members of pharmacy and therapeutics (P&T) committees in 204 Florida hospitals. Participants were asked, via a cross-sectional telephone survey, to rate 10 factors used in making formulary decisions from 1 (most important) to 10 (least important). Participants were also asked about the usual sources of pharmacoeconomic data used by the P&T committee, the types of pharmacoeconomic analyses and humanistic outcome measures that have been used by the P&T committee to make formulary decisions, and the availability of someone with pharmacoeconomic skills to assist with the formulary decision-making. The average time spent collecting data was 19 minutes. Data were analyzed using descriptive statistics and correlation analysis. Eighty-six percent of the participants indicated that pharmacoeconomic data were used all the time or very often when formulary decisions were made, with only 6% stating that these data were rarely or never used. Pharmacoeconomic data were rated by 63% of participants to be very important in formulary decisions. The usual sources of pharmacoeconomic data listed by participants are inhouse data (75%), published literature (57%), and pharmaceutical industry studies (13%). Participants rated drug efficacy, toxicity, and side effects as the most important and avoiding use of home infusions as the least important factors in making hospital formulary decisions. About 70% of the hospitals had someone with pharmacoeconomic skills on staff, while 4% reported consulting with an external pharmacoeconomics expert. Most P&T committees in Florida hospitals relied on pharmacoeconomic data to assist them in making formulary decisions.


Subject(s)
Decision Making , Economics, Pharmaceutical , Formularies, Hospital as Topic , Pharmacy and Therapeutics Committee/organization & administration , Data Collection , Florida
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