Dataset Information

Taking Repeated Exposure into Account: An Experimental Study of Direct-To-Consumer Prescription Drug Television Ad Effects.

ABSTRACT: Introduction: Little is known about how repeated exposure to direct-to-consumer prescription drug promotion can impact consumers' retention and perceptions of drug information. The study described here tested the effects of varied ad exposure frequency on these outcomes. Methods: In an in-person experiment, participants with seasonal allergies (n = 616) were randomized to view a mock prescription drug television ad either once, twice, or four times within 1 h of television programming, embedded with six commercial breaks. Respondents then answered a 20-min survey administered via computer. Results: Those who viewed the ad more frequently were better able to recall both risk (X² = 20.93, p < .001) and benefit information (X² = 9.34, p = .009) and to recognize risk (F(2,597) = 11.89, p = .001) and benefit information (F(2,597) = 3.17, p = .043) than those who viewed the ad one time. Ad exposure frequency was not associated with perceptions about the magnitude or likelihood of risks or benefits. In general, risk information seemed to require more repetitions than benefit information to be accurately remembered. The recall was mediated by elaborate processing. Discussion: Effects on memory were small; retention of both risks and benefits remained low overall even after four exposures.

SUBMITTER: Betts KR

PROVIDER: S-EPMC9479315 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Taking Repeated Exposure into Account: An Experimental Study of Direct-To-Consumer Prescription Drug Television Ad Effects.

Betts Kevin R KR Aikin Kathryn J KJ Kelly Bridget J BJ Johnson Mihaela M Parvanta Sarah S Southwell Brian G BG Mack Nicole N Tzeng Janice J Cameron Linda L

Journal of health communication 20190429 5

Introduction: Little is known about how repeated exposure to direct-to-consumer prescription drug promotion can impact consumers' retention and perceptions of drug information. The study described here tested the effects of varied ad exposure frequency on these outcomes. Methods: In an in-person experiment, participants with seasonal allergies (n = 616) were randomized to view a mock prescription drug television ad either once, twice, or four times within 1 h of television p ...[more]

PMID: 31033396

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Project description:Background. Previous research found that adding a single piece of quantitative information about prescription drug benefits to direct-to-consumer (DTC) ads helps consumers understand how well the drug works. However, drug information often includes quantitative information on multiple benefit outcomes and risks. Thus, we examined whether consumer understanding was similarly improved when DTC television ads include varying amounts of quantitative information. Methods. We randomly assigned participants (945 Internet panelists ≥ 60 years old) to view 1 of 9 fictitious prescription drug television ads that varied the presentation of quantitative information for benefits (none, single outcome, 2 outcomes) and risks (none, 1 risk category, 3 risk categories) and then measured gist and verbatim recall/estimation and drug perceptions. Results. Adding a single benefit outcome and a single risk category replicated past results. Compared with an ad containing no quantitative information, presenting 2 benefit outcomes and multiple risk categories increased gist and verbatim recall and affected drug perceptions. Compared with presenting a single benefit outcome, presenting 2 benefit outcomes increased verbatim recall for the second outcome but decreased verbatim recall for the first outcome. Likewise, compared with presenting a single risk category, presenting multiple risk categories increased gist and verbatim recall for the multiple risk categories but decreased gist recall for a concept more closely associated with the single risk category. Adding multiple risk categories decreased risk perceptions even more than did the single risk category. Limitations. This study may have limited generalizability because it examined an ad for only 1 medical condition. Conclusions. There are tradeoffs to adding multiple quantitative benefit outcomes in DTC ads. However, presenting multiple quantitative risk categories helps consumers better understand a drug's risks.

Project description:BackgroundThere are only two countries in the world (the United States and New Zealand) that allow the pharmaceutical branch to advertise prescription medication directly to consumers. There is pressure on governments to allow direct-to-consumer advertising (DTCA) for prescription drugs elsewhere too. One argument the industry uses frequently is the claim that exposure to DCTA, through various methods and occasions, is supposed to improve customers' knowledge of a disease and treatment. This argument has been part of the health care community's wider discussion of whether DTCA of prescription drugs benefits the population's general interest or is only an attempt to increase the sales of the pharmaceutical branch. Belief in true learning by DTCA is rooted in concepts of empowered consumers and their autonomous and empowered decision-making.ObjectiveIn this study, we tested the hypotheses that contact with DTCA increases recipients' literacy/knowledge, especially regarding the side effects of treatment (hypothesis 1), and empowerment (hypothesis 2). We further hypothesized that DTCA exposure would not increase depression knowledge (ie, about treatments, symptoms, and prevalence) (hypothesis 3).MethodsA snowball sample of 180 participants was randomly split into three experimental groups receiving (1) a traditional information sheet, (2) a DTCA video clip for an antidepressant prescription drug, or (3) both. The video was original material from the United States translated into Italian for the experiment. Dependent variables were measures of depression knowledge (regarding treatments, symptoms and prevalence, and antidepressant side effects), depression literacy, and empowerment.ResultsNone of the experimental groups differed significantly from the others in the empowerment measure (hypothesis 2 not confirmed). Partial confirmation of hypothesis 1 was obtained. Lower values on the depression literacy scale were obtained when participants had been given the video compared to the sheet condition. However, the general depression knowledge and its subscale on side effects reached higher scores when participants were exposed to the DTCA, alone or in combination with the information sheet. Finally, participants showed lower scores on knowledge about treatment and symptoms or prevalence after watching the video compared to the sheet condition (hypothesis 3 confirmed). Symptoms and prevalence knowledge increased only when the video was presented in combination with the sheet.ConclusionsThere is no evidence for an increase in empowerment following DTCA exposure. An increase in knowledge of the side effects of the medication was observed in the group exposed to the DTCA video. This was the only result that confirmed the hypothesis of the beneficial effect of DTCA videos on knowledge. Written information proved to be the most suitable way to convey knowledge on treatments and symptoms prevalence. Our findings support the necessity of studying health literacy and patient empowerment together and the consequences of such an increase in knowledge in terms of help-seeking behavior.

Project description:BackgroundUS Food and Drug Administration (FDA) regulations state that any prescription drug promotion that presents drug benefits to consumers must also disclose certain information about the drug's risks in a similar manner. Nearly three-quarters of all US mobile phone subscribers use a smartphone, and over half report receiving mobile advertisements on their device.ObjectiveThe objective of this project was to investigate how prescription drugs are being promoted to consumers using mobile technologies. We were particularly interested in the presentation of drug benefits and risks, with regard to presence, placement, and prominence.MethodsWe analyzed a sample of 51 mobile promotional communications and their associated linked landing pages. We assessed the content and format of the mobile communications and landing pages with regard to presentation of drug benefits and risks.ResultsOf the 51 mobile communications we coded, 41% (21/51) were product claim communications (includes the drug name, benefits, and risks), 22% (11/51) were reminder communications (includes drug name only), and 37% (19/51) were help-seeking communications (includes information about the medical condition but not the drug name). Some of the product claim communications (5/21, 24%) required scrolling to see all the benefit information; in contrast, 95% (20/21) required scrolling to see all the risk information. Of the 19 product claim communications that presented both benefits and risks, 95% (18/19) presented benefits before risks and 47% (9/19) used a bigger font for benefits than for risks. Most mobile communications (35/51, 69%) linked to branded drug websites with both benefits and risks, 25% (13/51) linked to a landing page with benefits but no visible risks, and 6% (3/51) linked to a landing page with risks but no visible benefits. Few landing pages (4/51, 8%) required scrolling to see all the benefit information; in contrast, 51% (26/51) required scrolling to see all the risk information. Of the 35 landing pages with both benefit and risk information, 71% (25/35) presented benefits before risks and 51% (18/35) used a bigger font for benefits than for risks.ConclusionsThese results indicate that, while risks and benefits are both represented in mobile communications and their associated landing pages, they are not equally prominent and accessible. This has implications for compliance with FDA fair balance regulations.

Project description:BACKGROUND:Direct-to-consumer information (DTCI) campaign is a new medium to inform and empower patients in their decision-making without directly promoting specific drugs. However, little is known about the impact of DTCI campaigns, expanding rapidly in developed countries, on changes in prescription patterns. We sought to determine whether a DTCI campaign on overactive bladder increases the prescription rate for overactive bladder treatment drugs. METHODS:We performed a 3-year retrospective cohort study of 1332 participants who were diagnosed overactive bladder but not prescribed treatment drugs prior to the examined DTCI campaign (exposure), using the health insurance claims dataset of the Japan Medical Data Center (November 19, 2010 to November 18, 2013). The DTCI campaign for overactive bladder included television, Internet, and print advertising (November 19, 2011 to December 22, 2011). We divided the study period into Pre-Campaign Year (2010-2011), Year 1 (2011-2012), and Year 2 (2012-2013). Each year began on November 19 and included Period 1 (weeks 1-5) through Period 10 (weeks 46-50). The main outcome was first-time prescription of the treatment drug for each patient, measured by 5-week periods. Using Period 10 in the Pre-Campaign Year as the referent period, we applied the Cox proportional hazard model for each period. Additionally, we performed the interrupted time series analysis (ITSA) for the first-time prescription rate per 5-week period. RESULTS:Following the DTCI campaign, patients were about seven times more likely to receive a first prescription of a treatment drug during Period 4 in Year 1 (hazard ratio 7.09; 95% CI, 2.11-23.8; p-value<.01) compared with the reference period. Similar increases were also observed for subsequent Periods 5 and 6 in Year 1. The ITSA confirmed the DTCI campaign impact on the level of prescription rate (one-time increase in the regression-intercept) that increased by 1128.1 [per standardized 100,000 persons] (p < .05) during Period 4 in Year 1. CONCLUSIONS:The examined DTCI campaign appeared to increase the prescription rate among patients with overactive bladder for 15 weeks with a 15-week delay. Clinical outcomes of the patients with targeted diseases need to be monitored after DTCI campaigns by a future study.

Project description:Human food consumption is responsible for significant environmental impacts, which in recent years have been the focus of an increasing amount of research. One of the major results of these efforts has been an appreciation for the ways in which impacts can differ among products. To date, though, relatively little is known about possible differences in the environmental performance of a single food product that is made or produced in different contexts. Furthermore, the influence of consumer practices, such as cooking time or cleaning method, has not yet been investigated. The goals of the study were therefore (i) to compare the environmental impacts of a single food product-in this case, pizza-that is produced in different contexts (industrial, homemade, and assembled at home) and (ii) to investigate the influence of real-world consumer practices on these impacts. Two study models were used: a ham-and-cheese pizza and a mixed-cheese pizza. The functional units (FU) examined were one pizza and 1 kg of ready-to-eat pizza. The system boundaries extended from the agricultural production of ingredients to the consumption of the pizza at home. All inventory data related to the steps occurring before purchase (including storage at the supermarket) came from databases or the literature, while inventory data related to the steps occurring after the sale were obtained from questionnaires answered by 69 consumers who prepared and consumed the six pizza preparation pathways (two recipes multiply three methods of preparation) at home. Background data were selected in the AGRIBALYSE 3.0 and Ecoinvent 3.6 databases. The environmental impacts of the six pizza preparation pathways were calculated by Life Cycle Assessment (LCA) using the characterization method "EF 3.0 Method (adapted) V1.00 / EF 3.0 normalization and weighting set" in SimaPro software. To compare the environmental impacts of the six pizza preparation pathways, 69 LCAs were performed for each; to compensate for missing data from incomplete questionnaires, we performed random draws from the available data to generate the life cycle inventory for each assessment. The data obtained in this study can be used to make recommendations to consumers regarding more environmentally friendly food choices and practices.

Project description:Measurements of protein-ligand interactions have reproducibility limits due to experimental errors. Any model based on such assays will consequentially have such unavoidable errors influencing their performance which should ideally be factored into modelling and output predictions, such as the actual standard deviation of experimental measurements (σ) or the associated comparability of activity values between the aggregated heterogenous activity units (i.e., Ki versus IC50 values) during dataset assimilation. However, experimental errors are usually a neglected aspect of model generation. In order to improve upon the current state-of-the-art, we herein present a novel approach toward predicting protein-ligand interactions using a Probabilistic Random Forest (PRF) classifier. The PRF algorithm was applied toward in silico protein target prediction across ~ 550 tasks from ChEMBL and PubChem. Predictions were evaluated by taking into account various scenarios of experimental standard deviations in both training and test sets and performance was assessed using fivefold stratified shuffled splits for validation. The largest benefit in incorporating the experimental deviation in PRF was observed for data points close to the binary threshold boundary, when such information was not considered in any way in the original RF algorithm. For example, in cases when σ ranged between 0.4-0.6 log units and when ideal probability estimates between 0.4-0.6, the PRF outperformed RF with a median absolute error margin of ~ 17%. In comparison, the baseline RF outperformed PRF for cases with high confidence to belong to the active class (far from the binary decision threshold), although the RF models gave errors smaller than the experimental uncertainty, which could indicate that they were overtrained and/or over-confident. Finally, the PRF models trained with putative inactives decreased the performance compared to PRF models without putative inactives and this could be because putative inactives were not assigned an experimental pXC50 value, and therefore they were considered inactives with a low uncertainty (which in practice might not be true). In conclusion, PRF can be useful for target prediction models in particular for data where class boundaries overlap with the measurement uncertainty, and where a substantial part of the training data is located close to the classification threshold.

Dataset Information

Taking Repeated Exposure into Account: An Experimental Study of Direct-To-Consumer Prescription Drug Television Ad Effects.

Publications

Taking Repeated Exposure into Account: An Experimental Study of Direct-To-Consumer Prescription Drug Television Ad Effects.

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