Journal article
Doodle Health: A Crowdsourcing Game for the Co-design and Testing of Pictographs to Reduce Disparities in Healthcare Communication
AMIA ... Annual Symposium proceedings, Vol.2017, pp.585-594
2017
PMCID: PMC5977678
PMID: 29854123
Abstract
Supplementing patient education content with pictographs can improve the comprehension and recall of information, especially patients with low health literacy. Pictograph design and testing, however, are costly and time consuming. We created a Web-based game, Doodle Health, for crowdsourcing the drawing and validation of pictographs. The objective of this pilot study was to test the usability of the game and its appeal to healthcare consumers. The chief purpose of the game is to involve a diverse population in the co-design and evaluation of pictographs. We conducted a community-based focus group to inform the game design. Game designers, health sciences librarians, informatics researchers, clinicians, and community members participated in two Design Box meetings. The results of the meetings were used to create the Doodle Health crowdsourcing game. The game was presented and tested at two public fairs. Initial testing indicates crowdsourcing is a promising approach to pictograph development and testing for relevancy and comprehension. Over 596 drawings were collected and 1,758 guesses were performed to date with 70-90% accuracies, which are satisfactorily high.
Details
- Title: Subtitle
- Doodle Health: A Crowdsourcing Game for the Co-design and Testing of Pictographs to Reduce Disparities in Healthcare Communication
- Creators
- Carrie Christensen - University of UtahDoug Redd - George Washington UniversityErica Lake - University of UtahJean P Shipman - University of UtahHeather Aiono - University of UtahRoger Altizer Jr - University of UtahBruce E Bray - University of UtahQing T Zeng - George Washington University
- Resource Type
- Journal article
- Publication Details
- AMIA ... Annual Symposium proceedings, Vol.2017, pp.585-594
- PMID
- 29854123
- PMCID
- PMC5977678
- eISSN
- 1942-597X
- Grant note
- G08 LM011546 / NLM NIH HHS
- Language
- English
- Date published
- 2017
- Academic Unit
- Hardin Library
- Record Identifier
- 9984248859502771
Metrics
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