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Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
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Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
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Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial

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Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial
Journal Article

Reducing the Prescribing of Heavily Marketed Medications: A Randomized Controlled Trial

2009
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Overview
Context Prescription drug costs are a major component of health care expenditures, yet resources to support evidence-based prescribing are not widely available. Objective To evaluate the effectiveness of computerized prescribing alerts, with or without physician-led group educational sessions, to reduce the prescribing of heavily marketed hypnotic medications. Design Cluster-randomized controlled trial. Setting We randomly allocated 14 internal medicine practice sites to receive usual care, computerized prescribing alerts alone, or alerts plus group educational sessions. Measurements Proportion of heavily marketed hypnotics prescribed before and after the implementation of computerized alerts and educational sessions. Main Results The activation of computerized alerts held the prescribing of heavily marketed hypnotic medications at pre-intervention levels in both the alert-only group (adjusted risk ratio [RR] 0.97; 95% CI 0.82–1.14) and the alert-plus-education group (RR 0.98; 95% CI 0.83–1.17) while the usual-care group experienced an increase in prescribing (RR 1.31; 95% CI 1.08–1.60). Compared to the usual-care group, the relative risk of prescribing heavily marketed medications was less in both the alert-group (Ratio of risk ratios [RRR] 0.74; 95% CI 0.57–0.96) and the alert-plus-education group (RRR 0.74; 95% CI 0.58–0.97). The prescribing of heavily marketed medications was similar in the alert-group and alert-plus-education group (RRR 1.02; 95% CI 0.80–1.29). Most clinicians reported that the alerts provided useful prescribing information (88%) and did not interfere with daily workflow (70%). Conclusions Computerized decision support is an effective tool to reduce the prescribing of heavily marketed hypnotic medications in ambulatory care settings. Trial Registration clinicaltrials.gov Identifier: NCT00788346.