Evidence map›Paper›PMID 19475459›Full record

Trial reportJournal of general internal medicine2009

Reducing the prescribing of heavily marketed medications: a randomized controlled trial.

Robert J Fortuna, Fang Zhang, Dennis Ross-Degnan, Francis X Campion, Jonathan A Finkelstein, Jamie B Kotch, Adrianne C Feldstein, David H Smith, Steven R Simon

Registry-linked trialAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00788346 (Reducing Unnecessary Use of Heavily Marketed Medicines), which is not on this map. Cited by 14 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00788346 nacompletednot on this map

Reducing Unnecessary Use of Heavily Marketed Medicines: A Randomized Controlled Trial of Computerized Prescribing Alerts and Clinician Education

TypeinterventionalSponsorVA Boston Healthcare SystemRan2007 to 2008Enrolled257ConditionsUse of Sleep MedicationsArmsComputerized alerts, Alerts Plus Detailing
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Robert J FortunaDepartment of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA. rfortuna@post.harvard.edu
Fang Zhang
Dennis Ross-Degnan
Francis X Campion
Jonathan A Finkelstein
Jamie B Kotch
Adrianne C Feldstein
David H Smith
Steven R Simon

Funding

PHS HHS 5 T32 HP11001-18
6 · The paper itself

Abstract

contextPrescription drug costs are a major component of health care expenditures, yet resources to support evidence-based prescribing are not widely available.

objectiveTo evaluate the effectiveness of computerized prescribing alerts, with or without physician-led group educational sessions, to reduce the prescribing of heavily marketed hypnotic medications.

designCluster-randomized controlled trial.

settingWe 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

resultsThe 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%).

conclusionsComputerized decision support is an effective tool to reduce the prescribing of heavily marketed hypnotic medications in ambulatory care settings.

trial registrationclinicaltrials.gov Identifier: NCT00788346.

Indexed as

Decision Support Systems, ClinicalDrug IndustryDrug PrescriptionsElectronic PrescribingFemaleHumansHypnotics and SedativesInternal MedicineMaleMarketingMedical Records Systems, ComputerizedMiddle AgedPhysiciansPrescription DrugsProfessional PracticeHypnotics and SedativesPrescription Drugs

Identifiers

PMID19475459
PMCPMC2710467

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.