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Redesigning pictographs for patients with low health literacy and establishing preliminary steps for delivery via smart phones

Overview of attention for article published in Pharmacy Practice (Granada), June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Citations

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Readers on

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88 Mendeley
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2 CiteULike
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Title
Redesigning pictographs for patients with low health literacy and establishing preliminary steps for delivery via smart phones
Published in
Pharmacy Practice (Granada), June 2016
DOI 10.18549/pharmpract.2016.02.686
Pubmed ID
Authors

Seth E. Wolpin, Juliet K. Nguyen., Jason J. Parks., Annie Y. Lam, Donald E. Morisky., Lara Fernando, Adeline Chu, Donna L. Berry.

Abstract

Pictographs (or pictograms) have been widely utilized to convey medication related messages and to address nonadherence among patients with low health literacy. Yet, patients do not always interpret the intended messages on commonly used pictographs correctly and there are questions how they may be delivered on mobile devices. Our objectives are to refine a set of pictographs to use as medication reminders and to establish preliminary steps for delivery via smart phones. Card sorting was used to identify existing pictographs that focus group members found "not easy" to understand. Participants then explored improvements to these pictographs while iterations were sketched in real-time by a graphic artist. Feedback was also solicited on how selected pictographs might be delivered via smart phones in a sequential reminder message. The study was conducted at a community learning center that provides literacy services to underserved populations in Seattle, WA. Participants aged 18 years and older who met the criteria for low health literacy using S-TOFHLA were recruited. Among the 45 participants screened for health literacy, 29 were eligible and consented to participate. Across four focus group sessions, participants examined 91 commonly used pictographs, 20 of these were ultimately refined to improve comprehensibility using participatory design approaches. All participants in the fifth focus group owned and used cell phones and provided feedback on preferred sequencing of pictographs to represent medication messages. Low literacy adults found a substantial number of common medication label pictographs difficult to understand. Participative design processes helped generate new pictographs, as well as feedback on the sequencing of messages on cell phones, that may be evaluated in future research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 1%
Unknown 85 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Researcher 10 11%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 9 10%
Librarian 5 6%
Other 20 23%
Unknown 22 25%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Nursing and Health Professions 14 16%
Social Sciences 8 9%
Psychology 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Other 12 14%
Unknown 26 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2016.
All research outputs
#5,589,162
of 25,870,940 outputs
Outputs from Pharmacy Practice (Granada)
#60
of 315 outputs
Outputs of similar age
#90,269
of 368,667 outputs
Outputs of similar age from Pharmacy Practice (Granada)
#2
of 6 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 315 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 368,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.