ArticleTherapeutic innovation & regulatory science2023
Complexity of Data Displays in Prescription Drug Advertisements for Healthcare Providers.
Article in Therapeutic innovation & regulatory science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHealthcare providers (HCPs) often encounter clinical trial results in the form of data displays in prescription drug promotions. Information conveyed in data displays vary in their presentation and complexity. This study describes characteristics of data displays in prescription drug advertising targeted to HCPs.
methodsThis study characterized the content of 140 data displays in 98 unique print advertisements from 2009 to present and identified in AdPharm, an online database of pharmaceutical advertisements. Two reviewers independently coded the advertisements for characteristics (κ = 0.85) including complexity, format, and quality.
resultsAbout one-third (32%) of the advertisements contained multiple data displays (range 2 to 6) and 44% showed clinical data from oncology trials; other disease domains were mental and behavioral health (14%), rheumatology and autoimmune disorders (8%), endocrinology (7%), cardiology (6%), infectious disease (6%), pulmonology and allergy (4%), and others (< 2% each). About one-half (51%) of displays were classified as "simple" which included "pseudographs" and basic tables or charts. "Complex" displays appeared as survival curves, line graphs, or bar graphs with complex features. Most complex displays included a comparator drug (90%), plain language restatement of the key finding (93%) and disclosure statements (91%) with additional study details, although their placement varied. Complex displays were of high quality, according to our selected indicators; our analysis found no data distortion or errors.
conclusionData displays in prescription drug advertising are often highly complex. Future research assessing understanding of data displays and the potentially beneficial effect of disclosures and other features is warranted.
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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.