Artigo Acesso aberto Revisado por pares

A Randomized Trial of the Effectiveness of On-demand versus Computer-triggered Drug Decision Support in Primary Care

2008; Oxford University Press; Volume: 15; Issue: 4 Linguagem: Inglês

10.1197/jamia.m2606

ISSN

1527-974X

Autores

Robyn Tamblyn, Allen Huang, Leslie Taylor, Yusuke Kawasumi, Gillian Bartlett, Roland Grad, A Jacques, Martin Dawes, Michał Abrahamowicz, Robert Perreault, Nancy Winslade, Lise Poissant, Alain Pinsonneault,

Tópico(s)

Medication Adherence and Compliance

Resumo

Prescribing alerts generated by computerized drug decision support (CDDS) may prevent drug-related morbidity. However, the vast majority of alerts are ignored because of clinical irrelevance. The ability to customize commercial alert systems should improve physician acceptance because the physician can select the circumstances and types of drug alerts that are viewed. We tested the effectiveness of two approaches to medication alert customization to reduce prevalence of prescribing problems: on-physician-demand versus computer-triggered decision support. Physicians in each study condition were able to preset levels that triggered alerts.

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