Evidence map›Paper›PMID 15855433›Full record

Trial reportJAMA2005

Influence of patients' requests for direct-to-consumer advertised antidepressants: a randomized controlled trial.

Richard L Kravitz, Ronald M Epstein, Mitchell D Feldman, Carol E Franz, Rahman Azari, Michael S Wilkes, Ladson Hinton, Peter Franks

Erratum issuedAbstract readClinical TrialRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 166 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 4 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.

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

166 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pharmaceutical policies: effects of policies regulating drug marketing.The Cochrane database of systematic reviews · 2023
    Pooled it
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  3. Patient-mediated interventions to improve professional practice.The Cochrane database of systematic reviews · 2018
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106 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Richard L KravitzCenter for Health Services Research in Primary Care, University of California, Davis, Sacramento, CA 95817, USA. rlkravitz@ucdavis.edu
Ronald M Epstein
Mitchell D Feldman
Carol E Franz
Rahman Azari
Michael S Wilkes
Ladson Hinton
Peter Franks

Funding

Consumer Influences of Treatment of DepressionR01MH064683 · NIMH · UNIVERSITY OF CALIFORNIA DAVIS · PI KRAVITZ, RICHARD L · 2002 to 2004
$2.1M
Dementia Caregiving: Burden and Help-Seeking in LatinosK23AG019809 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI HINTON, WALTER LADSON · 2002 to 2006
$748k
NIA NIH HHS K23 AG019809NIA NIH HHS K23-AG19809NIMH NIH HHS R01 MH064683
6 · The paper itself

Abstract

contextDirect-to-consumer (DTC) advertising of prescription drugs in the United States is both ubiquitous and controversial. Critics charge that it leads to overprescribing, while proponents counter that it helps avert underuse of effective treatments, especially for conditions that are poorly recognized or stigmatized.

objectiveTo ascertain the effects of patients' DTC-related requests on physicians' initial treatment decisions in patients with depressive symptoms.

designRandomized trial using standardized patients (SPs). Six SP roles were created by crossing 2 conditions (major depression or adjustment disorder with depressed mood) with 3 request types (brand-specific, general, or none).

settingOffices of primary care physicians in Sacramento, Calif; San Francisco, Calif; and Rochester, NY, between May 2003 and May 2004.

participantsOne hundred fifty-two family physicians and general internists recruited from solo and group practices and health maintenance organizations; cooperation rates ranged from 53% to 61%.

interventionsThe SPs were randomly assigned to make 298 unannounced visits, with assignments constrained so physicians saw 1 SP with major depression and 1 with adjustment disorder. The SPs made a brand-specific drug request, a general drug request, or no request (control condition) in approximately one third of visits.

main outcome measuresData on prescribing, mental health referral, and primary care follow-up obtained from SP written reports, visit audiorecordings, chart review, and analysis of written prescriptions and drug samples. The effects of request type on prescribing were evaluated using contingency tables and confirmed in generalized linear mixed models that accounted for clustering and adjusted for site, physician, and visit characteristics.

resultsStandardized patient role fidelity was excellent, and the suspicion rate that physicians had seen an SP was 13%. In major depression, rates of antidepressant prescribing were 53%, 76%, and 31% for SPs making brand-specific, general, and no requests, respectively (P<.001). In adjustment disorder, antidepressant prescribing rates were 55%, 39%, and 10%, respectively (P<.001). The results were confirmed in multivariate models. Minimally acceptable initial care (any combination of an antidepressant, mental health referral, or follow-up within 2 weeks) was offered to 98% of SPs in the major depression role making a general request, 90% of those making a brand-specific request, and 56% of those making no request (P<.001).

conclusionsPatients' requests have a profound effect on physician prescribing in major depression and adjustment disorder. Direct-to-consumer advertising may have competing effects on quality, potentially both averting underuse and promoting overuse.

Indexed as

AdvertisingDrug PrescriptionsPatient SatisfactionPractice Patterns, Physicians'Adjustment DisordersAntidepressive AgentsDrug IndustryFamily PracticeHumansInternal MedicineMajor Depressive DisorderMass MediaPatient ParticipationUnited StatesAntidepressive AgentsEmpirical ApproachHealth Care and Public HealthMental Health Therapies

Identifiers

PMID15855433
PMCPMC3155410

What OpenQuestion holds

Textmetadata
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.