Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “drug advertising”
Quality of advertisements for prescription drugs in family practice medical journals published in Australia, Canada, and the United States with different regulatory controls: a cross-sectional study
<p><span><span><span><span><span><span><span><span><span><span><span><b>OBJECTIVE: </b>To assess if different forms of regulation lead to differences in the quality of journal advertisements.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>DESIGN: </b>Cross-sectional study.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>PARTICIPANTS: </b>Thirty advertisements from family practice journals published from 2013-2015 were extracted for three countries with distinct regulatory pharmaceutical promotion systems: Australia, Canada, and the United States (US). </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>PRIMARY AND SECONDARY OUTCOME MEASURES: </b>Advertisements under each regulatory system were compared concerning three domains: information included in the advertisement, references to scientific evidence, and pictorial appeals and portrayals. An overall ranking for advertisement quality among countries was determined using the first two domains as the information assessed has been associated with more appropriate prescribing. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>RESULTS: </b>Advertisements varied significantly for number of claims with quantitative benefit (Australia: 0.0 (0.0-3.0); Canada: 0.0 (0.0-5.0); US: 1.0 (0.0-6.0); p=0.01); statistical method used in reporting benefit (RRR, ARR, and NNT) (Australia: 6.7%, n=2; Canada: 10.0%, n=3; US: 36.6%, n=11; p=0.02); mention of adverse effects, warnings, or contraindications (Australia: 13.3%, n=4; Canada: 23.3%, n=7; US: 53.3%, n=16; p=0.002); equal prominence between safety and benefit information (Australia: 25.0%, n=1; Canada: 28.6%, n=2; US: 75.0%, n=12; p=0.04); and methodologic quality of references score (Australia: 0.4150 (0.25-0.70); Canada: 0.25 (0.00-0.63); US: 0.25 (0.00-0.75); p<0.001). The US ranked first, Canada second, and Australia third for overall quality of journal advertisements. Significant differences for humor appeals (Australia: 3.3%, n=1; Canada: 13.3%, n=4; US: 26.7%, n=8; p=0.04), positive emotional appeals (Australia: 26.7%, n=8; Canada: 60.0%, n=18; US: 50.0%, n=15; p=0.03), social approval portrayals (Australia: 0.0%, n=0; Canada: 0.0%, n=0; US: 10.0%, n=3; p=0.04), and lifestyle or work portrayals (Australia: 43.3%, n=13; Canada: 50.0%, n=15; US: 76.7%, n=23; p=0.02) were found among countries.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>CONCLUSIONS:</b> <a name="_Hlk34742358">Different regulatory systems influence journal advertisement quality concerning all measured domains. </a>However, differences may also be attributed to other regulatory, legal, cultural, or health system factors unique to each country.</span></span></span></span></span></span></span></span></span></span></span></p>
Quality of advertisements for prescription drugs in family practice medical journals published in Australia, Canada, and the United States with different regulatory controls: a cross-sectional study
Open the record for dataset details and reuse information.
Figure 4 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 4 *Top 10 drug groups, for which respondents most often turn to a pharmacy for self-treatment. Note: *The response rate is not 100% since respondents chose several answers.
Figure 2 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 2 From what other sources do you get information about the drugs? Note: The response rate is not 100% since respondents chose several responses.
Figure 3 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 3 Have you, at least once, purchased medicines about which you have learned from advertising?
Figure 5 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 5 Top 10 position of drugs that are most often bought by respondents in the pharmacy and used for self-treatment.
Figure 6 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 6 What measures, in your opinion, need a drug advertising situation in Ukraine?
Figure 1 from: Ryvak T, Denysiuk O (2019) Public opinion study on the role of advertising in choice of non-prescription drugs for self-treatment. Pharmacia 66(3): 135-140. https://doi.org/10.3897/pharmacia.66.e35075
Figure 1 Characteristics of the contingent of respondents (n=137).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.