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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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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. |
format | Online Article Text |
id | pubmed-5381615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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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