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Understanding Health Literacy Measurement Through Eye Tracking
This study used eye-tracking technology to explore how individuals with different levels of health literacy visualize health-related information. The authors recruited 25 university administrative staff (more likely to have adequate health literacy skills) and 25 adults enrolled in an adult literacy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814999/ https://www.ncbi.nlm.nih.gov/pubmed/24093355 http://dx.doi.org/10.1080/10810730.2013.825666 |
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author | Mackert, Michael Champlin, Sara E. Pasch, Keryn E. Weiss, Barry D. |
author_facet | Mackert, Michael Champlin, Sara E. Pasch, Keryn E. Weiss, Barry D. |
author_sort | Mackert, Michael |
collection | PubMed |
description | This study used eye-tracking technology to explore how individuals with different levels of health literacy visualize health-related information. The authors recruited 25 university administrative staff (more likely to have adequate health literacy skills) and 25 adults enrolled in an adult literacy program (more likely to have limited health literacy skills). The authors administered the Newest Vital Sign (NVS) health literacy assessment to each participant. The assessment involves having individuals answer questions about a nutrition label while viewing the label. The authors used computerized eye-tracking technology to measure the amount of time each participant spent fixing their view at nutrition label information that was relevant to the questions being asked and the amount of time they spent viewing nonrelevant information. Results showed that lower NVS scores were significantly associated with more time spent on information not relevant for answering the NVS items. This finding suggests that efforts to improve health literacy measurement should include the ability to differentiate not just between individuals who have difficulty interpreting and using health information, but also between those who have difficulty finding relevant information. In addition, this finding suggests that health education material should minimize the inclusion of nonrelevant information. |
format | Online Article Text |
id | pubmed-3814999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-38149992013-11-04 Understanding Health Literacy Measurement Through Eye Tracking Mackert, Michael Champlin, Sara E. Pasch, Keryn E. Weiss, Barry D. J Health Commun Research Article This study used eye-tracking technology to explore how individuals with different levels of health literacy visualize health-related information. The authors recruited 25 university administrative staff (more likely to have adequate health literacy skills) and 25 adults enrolled in an adult literacy program (more likely to have limited health literacy skills). The authors administered the Newest Vital Sign (NVS) health literacy assessment to each participant. The assessment involves having individuals answer questions about a nutrition label while viewing the label. The authors used computerized eye-tracking technology to measure the amount of time each participant spent fixing their view at nutrition label information that was relevant to the questions being asked and the amount of time they spent viewing nonrelevant information. Results showed that lower NVS scores were significantly associated with more time spent on information not relevant for answering the NVS items. This finding suggests that efforts to improve health literacy measurement should include the ability to differentiate not just between individuals who have difficulty interpreting and using health information, but also between those who have difficulty finding relevant information. In addition, this finding suggests that health education material should minimize the inclusion of nonrelevant information. Taylor & Francis 2013-10-04 2013-12 /pmc/articles/PMC3814999/ /pubmed/24093355 http://dx.doi.org/10.1080/10810730.2013.825666 Text en © Michael Mackert, Sara E. Champlin, Keryn E. Pasch, and Barry D. Weiss http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mackert, Michael Champlin, Sara E. Pasch, Keryn E. Weiss, Barry D. Understanding Health Literacy Measurement Through Eye Tracking |
title | Understanding Health Literacy Measurement Through Eye Tracking |
title_full | Understanding Health Literacy Measurement Through Eye Tracking |
title_fullStr | Understanding Health Literacy Measurement Through Eye Tracking |
title_full_unstemmed | Understanding Health Literacy Measurement Through Eye Tracking |
title_short | Understanding Health Literacy Measurement Through Eye Tracking |
title_sort | understanding health literacy measurement through eye tracking |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814999/ https://www.ncbi.nlm.nih.gov/pubmed/24093355 http://dx.doi.org/10.1080/10810730.2013.825666 |
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