Quality of drug interaction alerts in prescribing and dispensing software

Autor: Pradeep Jayasuriya, Jennifer H. Martin, Jo‐anne E Brien, Michelle Sweidan, James F Reeve, Graeme M Vernon
Rok vydání: 2009
Předmět:
Zdroj: Medical Journal of Australia. 190:251-254
ISSN: 1326-5377
0025-729X
DOI: 10.5694/j.1326-5377.2009.tb02387.x
Popis: Objective: To investigate the quality of drug interaction decision support in selected prescribing and dispensing software systems, and to compare this information with that found in a range of reference sources. Design and setting: A comparative study, conducted between June 2006 and February 2007, of the support provided for making decisions about 20 major and 20 minor drug interactions in six prescribing and three dispensing software systems used in primary care in Australia. Five electronic reference sources were evaluated for comparison. Main outcome measures: Sensitivity, specificity and quality of information; for major interactions: whether information on clinical effects, timeframe and pharmacological mechanism was included, whether management advice was helpful, and succinctness. Results: Six of the nine software systems had a sensitivity rate 90%, detecting most of the major interactions. Only 3/9 systems had a specificity rate of 80%, with other systems providing inappropriate or unhelpful alerts for many minor interactions. Only 2/9 systems provided adequate information about clinical effects for more than half the major drug interactions, and 1/9 provided useful management advice for more than half of these. The reference sources had high sensitivity and in general provided more comprehensive clinical information than the software systems. Conclusions: Drug interaction decision support in commonly used prescribing and
Databáze: OpenAIRE
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