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Health care and social media: What patients really understand

Background: Low health literacy is associated with decreased patient compliance and worse outcomes - with clinicians increasingly relying on printed materials to lower such risks. Yet, many of these documents exceed recommended comprehension levels. Furthermore, patients look increasingly to social...

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Autores principales: Hoedebecke, Kyle, Beaman, Lindsey, Mugambi, Joy, Shah, Sanam, Mohasseb, Marwa, Vetter, Cheyanne, Yu, Kim, Gergianaki, Irini, Couvillon, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381615/
https://www.ncbi.nlm.nih.gov/pubmed/28435666
http://dx.doi.org/10.12688/f1000research.10637.1
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author Hoedebecke, Kyle
Beaman, Lindsey
Mugambi, Joy
Shah, Sanam
Mohasseb, Marwa
Vetter, Cheyanne
Yu, Kim
Gergianaki, Irini
Couvillon, Emily
author_facet Hoedebecke, Kyle
Beaman, Lindsey
Mugambi, Joy
Shah, Sanam
Mohasseb, Marwa
Vetter, Cheyanne
Yu, Kim
Gergianaki, Irini
Couvillon, Emily
author_sort Hoedebecke, Kyle
collection PubMed
description Background: Low health literacy is associated with decreased patient compliance and worse outcomes - with clinicians increasingly relying on printed materials to lower such risks. Yet, many of these documents exceed recommended comprehension levels. Furthermore, patients look increasingly to social media (SoMe) to answer healthcare questions. The character limits built into Twitter encourage users to publish small quantities of text, which are more accessible to patients with low health literacy. The present authors hypothesize that SoMe posts are written at lower grade levels than traditional medical sources, improving patient health literacy. Methods: The data sample consisted of the first 100 original tweets from three trending medical hashtags, leading to a total of 300 tweets. The Flesch-Kincaid Readability Formula (FKRF) was used to derive grade level of the tweets. Data was analyzed via descriptive and inferential statistics. Results: The readability scores for the data sample had a mean grade level of 9.45. A notable 47.6% of tweets were above ninth grade reading level. An independent-sample t-test comparing FKRF mean scores of different hashtags found differences between the means of the following: #hearthealth versus #diabetes (t = 3.15, p = 0.002); #hearthealth versus #migraine (t = 0.09, p = 0.9); and #diabetes versus #migraine (t = 3.4, p = 0.001). Conclusions: Tweets from this data sample were written at a mean grade level of 9.45, signifying a level between the ninth and tenth grades. This is higher than desired, yet still better than traditional sources, which have been previously analyzed. Ultimately, those responsible for health care SoMe posts must continue to improve efforts to reach the recommended reading level (between the sixth and eighth grade), so as to ensure optimal comprehension of patients.
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spelling pubmed-53816152017-04-21 Health care and social media: What patients really understand Hoedebecke, Kyle Beaman, Lindsey Mugambi, Joy Shah, Sanam Mohasseb, Marwa Vetter, Cheyanne Yu, Kim Gergianaki, Irini Couvillon, Emily F1000Res Research Note Background: Low health literacy is associated with decreased patient compliance and worse outcomes - with clinicians increasingly relying on printed materials to lower such risks. Yet, many of these documents exceed recommended comprehension levels. Furthermore, patients look increasingly to social media (SoMe) to answer healthcare questions. The character limits built into Twitter encourage users to publish small quantities of text, which are more accessible to patients with low health literacy. The present authors hypothesize that SoMe posts are written at lower grade levels than traditional medical sources, improving patient health literacy. Methods: The data sample consisted of the first 100 original tweets from three trending medical hashtags, leading to a total of 300 tweets. The Flesch-Kincaid Readability Formula (FKRF) was used to derive grade level of the tweets. Data was analyzed via descriptive and inferential statistics. Results: The readability scores for the data sample had a mean grade level of 9.45. A notable 47.6% of tweets were above ninth grade reading level. An independent-sample t-test comparing FKRF mean scores of different hashtags found differences between the means of the following: #hearthealth versus #diabetes (t = 3.15, p = 0.002); #hearthealth versus #migraine (t = 0.09, p = 0.9); and #diabetes versus #migraine (t = 3.4, p = 0.001). Conclusions: Tweets from this data sample were written at a mean grade level of 9.45, signifying a level between the ninth and tenth grades. This is higher than desired, yet still better than traditional sources, which have been previously analyzed. Ultimately, those responsible for health care SoMe posts must continue to improve efforts to reach the recommended reading level (between the sixth and eighth grade), so as to ensure optimal comprehension of patients. F1000Research 2017-02-08 /pmc/articles/PMC5381615/ /pubmed/28435666 http://dx.doi.org/10.12688/f1000research.10637.1 Text en Copyright: © 2017 Hoedebecke K et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Note
Hoedebecke, Kyle
Beaman, Lindsey
Mugambi, Joy
Shah, Sanam
Mohasseb, Marwa
Vetter, Cheyanne
Yu, Kim
Gergianaki, Irini
Couvillon, Emily
Health care and social media: What patients really understand
title Health care and social media: What patients really understand
title_full Health care and social media: What patients really understand
title_fullStr Health care and social media: What patients really understand
title_full_unstemmed Health care and social media: What patients really understand
title_short Health care and social media: What patients really understand
title_sort health care and social media: what patients really understand
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381615/
https://www.ncbi.nlm.nih.gov/pubmed/28435666
http://dx.doi.org/10.12688/f1000research.10637.1
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