ArticleMedical care2011
Effects of direct-to-consumer advertising and clinical guidelines on appropriate use of human papillomavirus DNA tests.
Article in Medical care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Evaluating whether direct-to-consumer marketing can increase demand for evidence-based practice among parents of adolescents with substance use disorders: rationale and protocol.Addiction science & clinical practice · 2015Trial
- Influence of Pharmaceutical Direct-to-Consumer Advertisement on Medical Treatment of Inflammatory Bowel Disease-An Outpatient Survey-Based Study.Crohn's & colitis 360 · 2020Article
- Multilevel interventions: study design and analysis issues.Journal of the National Cancer Institute. Monographs · 2012Article
- Update on Direct-to-Consumer Marketing in Oncology.Journal of oncology practice · 2012Article
- Health care providers and direct-to-consumer access and advertising of genetic testing in the United States.Genome medicine · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundBoth clinical guidelines and direct-to-consumer (DTC) advertising influence the use of new health care technologies, but little is known about their relative effects. The introduction of a cervical cancer screening test in 2000 offered a unique opportunity to assess the 2 strategies.
objectiveTo evaluate the effects of clinical guidelines and a targeted DTC advertising campaign on overall and appropriate use of human papillomavirus (HPV) DNA tests. RESEARCH
designQuasi-experimental study using difference-in-differences analysis. Data were MarketScan private insurance claims for 500,000 women aged 21 to 64 enrolled at least 12 consecutive months from January 2001 through December 2005.
resultsBoth clinical guidelines and DTC advertising were associated with increases in overall HPV DNA test use. DTC advertising was associated with a statistically significant increase in HPV DNA test use in 2 groups of DTC cities (+5.57%, P < 0.0001; +2.54%, P < 0.0001). DTC advertising was associated with comparable increases in the probability of appropriate and inappropriate use of the HPV DNA test in primary screening. Clinical guideline releases from the American College of Obstetricians and Gynecologists, and by a cosponsored panel, were associated with greater increases in HPV DNA tests for appropriate primary screening than for inappropriate primary screening (β = 0.3347, P < 0.05 and β = 0.4175, P < 0.01).
conclusionsDTC advertising was associated with increased overall use of a cervical cancer screening test, whereas clinical guidelines were differentially associated with increased appropriate use. These findings suggest distinct influences of consumer marketing and professional guidelines on the use of health care products and services.
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What OpenQuestion holds
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.