4 research outputs found

    Association between Clinician Type, Location, Shift and Probability of an Intercepted Drug Name Confusion Error.

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    a<p>Resident physician, inpatient location and day shift were used as reference categories. Testing global null hypothesis for model with fluticasone, −2 log likelihood  = 2563.8, chi-square  = 94.9, p<.0001. For model without fluticasone, −2 log likelihood  = 1245.9, chi-square  = 24.6, p<.0001.</p>b<p>p<0.001.</p>c<p>p<0.05.</p

    Distribution of Drug Pairs in Intercepted Errors.

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    a<p>The interception rate is the number of errors (confirmed by clinician chart review) divided by the total number of alerts for that drug.</p>b<p>In this pair, at the time of the alert, the branded names were most common, >90%.</p

    Leveraging formularies for improved prescribing.

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    <p>Formularies are poised to enhance the quality of drug prescribing decision making beyond that of individual practitioners. By encoding the collective expertise and judgment of a group of physicians and pharmacists who have resources and experience to weigh evidence in context, formularies work in ten ways to help optimize prescribing. In addition to supporting the decision making of individual clinicians, the formulary committee oversees the safe and effective use of drugs in institutions by providing guidance and engaging in ongoing drug utilization review.</p
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