Pharmaceutical pictograms for low-literate patients : understanding, risk of false confidence, and evidence-based design strategies

Objective: This study aims to (1) evaluate ten pharmaceutical pictograms for low-literate patients on understandability, (2) assess the risk of false confidence in understanding, and (3) identify how the design can be improved to increase understandability. Methods: Interviews were conducted with n=197 pharmacy visitors in the Netherlands. Additional qualitative discussions were held with n=30 adequately and n=25 low-literate participants (assessed with REALM-D). Qualitative data were analysed using the Thematic Framework approach. Results: Half of the pictograms reached 67% understanding (31.0%-98.5%); two did in the low-literate group. Three pictograms showed a risk for false confidence. Pictograms appeared to be most effective when people were familiar with their visual elements and messages. Conclusion: Low-literate people have more difficulty understanding pictograms than people with adequate literacy. While the risk of false confidence is low, for critical safety information, 67% understanding might not be sufficient. Design strategies for pharmaceutical pictograms should focus on familiarity, simplicity, and showing the intake and effect of medicine. Practice implications: Health professionals should go over the meaning of pictograms when providing drug information to patients to increase patients' familiarity with the message and to ensure that all pictograms are sufficiently understood.PostprintPeer reviewe

Motivation and learning impact of Dutch flu-trackers

Many citizen science projects deal with high attrition rates. The Dutch Great Influenza Survey is an exception to this rule. In the current study, we conducted an online questionnaire (N=1610) to investigate the motivation and learning impact of this loyal, active participant base. Results show that the desire to contribute to a larger (scientific) goal is the most important motivator for all types of participants and that availability of scientific information and data are important for learning. We suggest similar projects seek (social) media attention regularly, linking project findings to current events and including the importance of participants' contribution.Publisher PDFPeer reviewe

Motivation and learning impact of Dutch flu-trackers

Many citizen science projects deal with high attrition rates. The Dutch Great Influenza Survey is an exception to this rule. In the current study, we conducted an online questionnaire (N=1610) to investigate the motivation and learning impact of this loyal, active participant base. Results show that the desire to contribute to a larger (scientific) goal is the most important motivator for all types of participants and that availability of scientific information and data are important for learning. We suggest similar projects seek (social) media attention regularly, linking project findings to current events and including the importance of participants' contribution.</p

Gender Stereotypes in Science Education Resources: A Visual Content Analysis

<div><p>More men are studying and working in science fields than women. This could be an effect of the prevalence of gender stereotypes (e.g., science is for men, not for women). Aside from the media and people’s social lives, such stereotypes can also occur in education. Ways in which stereotypes are visible in education include the use of gender-biased visuals, language, teaching methods, and teachers’ attitudes. The goal of this study was to determine whether science education resources for primary school contained gender-biased visuals. Specifically, the total number of men and women depicted, and the profession and activity of each person in the visuals were noted. The analysis showed that there were more men than women depicted with a science profession and that more women than men were depicted as teachers. This study shows that there is a stereotypical representation of men and women in online science education resources, highlighting the changes needed to create a balanced representation of men and women. Even if the stereotypical representation of men and women in science is a true reflection of the gender distribution in science, we should aim for a more balanced representation. Such a balance is an essential first step towards showing children that both men and women can do science, which will contribute to more gender-balanced science and technology fields.</p></div

Ultrashort soliton switching based on coherent energy hiding

Clinical Pharmacy and Toxicolog

Distribution of profession type per gender.

<p>N(men) = 725; N(women) = 436; N(total) = 1161.</p

Gender distribution for activity type – Children.

<p>N(people) = 2025. The activity data for boys and girls were also tested with a chi-squared test, which showed no significant differences between the number of boys and girls in any activity category.</p

Gender distribution for activity type—Adults.

<p>N(people) = 1147. Note: * = p<0.001.</p