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

Journal of Medical Internet Research
Vadim OsadchiySriram Venkata Eleswarapu

Abstract

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. 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. 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. 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, ...Continue Reading

References

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Citations

Aug 26, 2020·Journal of Medical Internet Research·Rie YokotaTakahiro Kiuchi
Oct 2, 2020·JMIR Public Health and Surveillance·Shasha TengAmr Ahmed
Jan 8, 2021·Journal of Assisted Reproduction and Genetics·Hanna R PeroneJose Carugno
Apr 10, 2021·American Journal of Men's Health·Katarzyna Warchol-Biedermann

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Software Mentioned

RStudio
Language Inquiry and Word Count ( LIWC )
BigQuery
Reddit

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