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Updated: Jun 22, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Reducing the prescribing of heavily marketed medications: a randomized controlled trial
Robert J Fortuna1, Fang Zhang, Dennis Ross-Degnan
1Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA. rfortuna@post.harvard.edu
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.
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