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Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community

BACKGROUND: Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, with limited studies focusing exclusively on internet...

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Autores principales: Osadchiy, Vadim, Mills, Jesse Nelson, Eleswarapu, Sriram Venkata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093775/
https://www.ncbi.nlm.nih.gov/pubmed/32154785
http://dx.doi.org/10.2196/16728
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author Osadchiy, Vadim
Mills, Jesse Nelson
Eleswarapu, Sriram Venkata
author_facet Osadchiy, Vadim
Mills, Jesse Nelson
Eleswarapu, Sriram Venkata
author_sort Osadchiy, Vadim
collection PubMed
description BACKGROUND: Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, with limited studies focusing exclusively on internet discussions on male factor infertility. OBJECTIVE: The aim of this study was to understand the concerns and experiences of discussants on an online male infertility community and to provide insight into their perceptions of interactions with health care professionals. METHODS: Using the large-scale data analytics tool BigQuery, we extracted all posts in the r/MaleInfertility community (877 members) of the social media website and discussion board Reddit from November 2017 to October 2018. We performed a qualitative thematic analysis and quantitative semantic analysis using Language Inquiry and Word Count 2015 of the extracted posts to identify dominant themes and subthemes of discussions. Descriptive statistics and semantic analytic Z-scores were computed. RESULTS: From the analysis of 97 posts, notable themes and subthemes emerged: 70 (72%) posts shared personal experiences, including feeling emasculated or isolated or describing a negative (28/97, 29%), positive (13/97, 13%), or neutral (56/97, 58%) experience with a health care professional; 19% (18/97) of the posts posed questions about personal semen analysis results. On the basis of semantic analysis, posts by men had higher authenticity scores (Z=3.44; P<.001), suggesting more honest or personal texts, but lower clout scores (Z=4.57; P<.001), suggesting a more tentative or anxious style of writing, compared with posts by women. CONCLUSIONS: To our knowledge, this study represents the first evaluation of a social media community focused exclusively on male infertility using mixed methodology. These results suggest a role for physicians on social media to engage with patients and connect them to accurate resources, in addition to opportunities to improve in-office patient education.
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spelling pubmed-70937752020-03-31 Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community Osadchiy, Vadim Mills, Jesse Nelson Eleswarapu, Sriram Venkata J Med Internet Res Original Paper BACKGROUND: Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, with limited studies focusing exclusively on internet discussions on male factor infertility. OBJECTIVE: The aim of this study was to understand the concerns and experiences of discussants on an online male infertility community and to provide insight into their perceptions of interactions with health care professionals. METHODS: Using the large-scale data analytics tool BigQuery, we extracted all posts in the r/MaleInfertility community (877 members) of the social media website and discussion board Reddit from November 2017 to October 2018. We performed a qualitative thematic analysis and quantitative semantic analysis using Language Inquiry and Word Count 2015 of the extracted posts to identify dominant themes and subthemes of discussions. Descriptive statistics and semantic analytic Z-scores were computed. RESULTS: From the analysis of 97 posts, notable themes and subthemes emerged: 70 (72%) posts shared personal experiences, including feeling emasculated or isolated or describing a negative (28/97, 29%), positive (13/97, 13%), or neutral (56/97, 58%) experience with a health care professional; 19% (18/97) of the posts posed questions about personal semen analysis results. On the basis of semantic analysis, posts by men had higher authenticity scores (Z=3.44; P<.001), suggesting more honest or personal texts, but lower clout scores (Z=4.57; P<.001), suggesting a more tentative or anxious style of writing, compared with posts by women. CONCLUSIONS: To our knowledge, this study represents the first evaluation of a social media community focused exclusively on male infertility using mixed methodology. These results suggest a role for physicians on social media to engage with patients and connect them to accurate resources, in addition to opportunities to improve in-office patient education. JMIR Publications 2020-03-10 /pmc/articles/PMC7093775/ /pubmed/32154785 http://dx.doi.org/10.2196/16728 Text en ©Vadim Osadchiy, Jesse Nelson Mills, Sriram Venkata Eleswarapu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.03.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Osadchiy, Vadim
Mills, Jesse Nelson
Eleswarapu, Sriram Venkata
Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title_full Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title_fullStr Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title_full_unstemmed Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title_short Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community
title_sort understanding patient anxieties in the social media era: qualitative analysis and natural language processing of an online male infertility community
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093775/
https://www.ncbi.nlm.nih.gov/pubmed/32154785
http://dx.doi.org/10.2196/16728
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