Evidence map›Paper›PMID 24740450›Full record

ArticleJAMA dermatology2014

Characterizing the relationship between free drug samples and prescription patterns for acne vulgaris and rosacea.

Michael P Hurley, Randall S Stafford, Alfred T Lane

Open access · greenAbstract read
In one paragraph

Article in JAMA dermatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 4% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Influencers of generic drug utilization: A systematic review.Research in social & administrative pharmacy : RSAP · 2018
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pharmaceutical marketing: the example of drug samples.Journal of pharmaceutical policy and practice · 2022
    Article
  5. Article
  6. Conflicts of interest among dermatology textbook authors.International journal of women's dermatology · 2019
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Michael P HurleyDepartment of Health Research and Policy, Stanford University School of Medicine, Stanford, California.
Randall S StaffordStanford Prevention Research Center, Program on Prevention Outcomes and Practices, Stanford University School of Medicine, Stanford, California.
Alfred T LaneDepartment of Dermatology and Pediatrics, Stanford University School of Medicine, Stanford, California.
Stanford University · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Translating Clinical Decision Making into Systems of Care: A Mid-Career MentorK24HL086703 · NHLBI · STANFORD UNIVERSITY · PI STAFFORD, RANDALL SCOTT · 2007 to 2016
$1.5M
NCATS NIH HHS UL1 TR001085NCRR NIH HHS UL1 RR025744NHLBI NIH HHS K24 HL086703NHLBI NIH HHS K24-HL086703
6 · The paper itself

Abstract

importanceDescribing the relationship between the availability of free prescription drug samples and dermatologists' prescribing patterns on a national scale can help inform policy guidelines on the use of free samples in a physician's office.

objectivesTo investigate the relationships between free drug samples and dermatologists' local and national prescribing patterns and between the availability of free drug samples and prescription costs. DESIGN, SETTING, AND

participantsCross-sectional study investigating prescribing practices for acne, a common dermatologic condition for which free samples are often available. The settings were, first, the offices of nationally representative dermatologists from the National Disease and Therapeutic Index (an IMS Health Incorporated database) and, second, an academic medical center clinic without samples. Participants were ambulatory patients who received a prescription from a dermatologist for a primary initial diagnosis of acne vulgaris or rosacea in 2010. MAIN OUTCOMES AND MEASURES: National trends in dermatologist prescribing patterns, the degree of correlation between the availability of free samples and the prescribing of brand-name medications, and the mean cost of acne medications prescribed per office visit nationally and at an academic medical center without samples.

resultsOn a national level, the provision of samples with a prescription by dermatologists has been increasing over time, and this increase is correlated (r = 0.92) with the use of the branded generic drugs promoted by these samples. Branded and branded generic drugs comprised most of the prescriptions written nationally (79%), while they represented only 17% at an academic medical center clinic without samples. Because of the increased use of branded and branded generic drugs, the national mean total retail cost of prescriptions at an office visit for acne was conservatively estimated to be 2 times higher (approximately $465 nationally vs $200 at an academic medical center without samples). CONCLUSIONS AND RELEVANCE: Free drug samples can alter the prescribing habits of physicians away from the use of less expensive generic medications. The benefits of free samples in dermatology must be weighed against potential negative effects on prescribing behavior and prescription costs.

Indexed as

Acne VulgarisCost SavingsCross-Sectional StudiesDatabases, FactualDermatologic AgentsDermatologyDrug IndustryDrug UtilizationFemaleHumansMaleMarketingPractice Patterns, Physicians'Prescription DrugsRosaceaUnited StatesDermatologic AgentsPrescription Drugs

Identifiers

PMID24740450
PMCPMC4024076
OpenAlexW1987748266

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.