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Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data
BACKGROUND: The psychiatric treatment gap is substantial in Korea, implying barriers in seeking help. OBJECTIVES: This study aims to explore barriers of seeing psychiatrists, expressed on the internet by age groups. METHODS: A corpus of data was garnered extensively from internet communities, blogs...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102713/ https://www.ncbi.nlm.nih.gov/pubmed/35562709 http://dx.doi.org/10.1186/s12888-022-03969-1 |
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author | Seo, Hwo Yeon Song, Gil Young Ku, Jee Won Park, Hye Yoon Myung, Woojae Kim, Hee Jung Baek, Chang Hyeon Lee, Nami Sohn, Jee Hoon Yoo, Hee Jeong Park, Jee Eun |
author_facet | Seo, Hwo Yeon Song, Gil Young Ku, Jee Won Park, Hye Yoon Myung, Woojae Kim, Hee Jung Baek, Chang Hyeon Lee, Nami Sohn, Jee Hoon Yoo, Hee Jeong Park, Jee Eun |
author_sort | Seo, Hwo Yeon |
collection | PubMed |
description | BACKGROUND: The psychiatric treatment gap is substantial in Korea, implying barriers in seeking help. OBJECTIVES: This study aims to explore barriers of seeing psychiatrists, expressed on the internet by age groups. METHODS: A corpus of data was garnered extensively from internet communities, blogs and social network services from 1 January 2016 to 31 July 2019. Among the texts collected, texts containing words linked to psychiatry were selected. Then the corpus was dismantled into words by using natural language processing. Words linked to barriers to seeking help were identified and classified. Then the words from web communities that we were able to identify the age groups were additionally organized by age groups. RESULTS: 97,730,360 articles were identified and 6,097,369 were included in the analysis. Words implying the barriers were selected and classified into four groups of structural discrimination, public prejudice, low accessibility, and adverse drug effects. Structural discrimination was the greatest barrier occupying 34%, followed by public prejudice (27.8%), adverse drug effects (18.6%), and cost/low accessibility (16.1%). In the analysis by age groups, structural discrimination caused teenagers (51%), job seekers (64%) and mothers with children (43%) the most concern. In contrast, the public prejudice (49%) was the greatest barriers in the senior group. CONCLUSIONS: Although structural discrimination may most contribute to barriers to visiting psychiatrists in Korea, variation by generations may exist. Along with the general attempt to tackle the discrimination, customized approach might be needed. |
format | Online Article Text |
id | pubmed-9102713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91027132022-05-14 Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data Seo, Hwo Yeon Song, Gil Young Ku, Jee Won Park, Hye Yoon Myung, Woojae Kim, Hee Jung Baek, Chang Hyeon Lee, Nami Sohn, Jee Hoon Yoo, Hee Jeong Park, Jee Eun BMC Psychiatry Research BACKGROUND: The psychiatric treatment gap is substantial in Korea, implying barriers in seeking help. OBJECTIVES: This study aims to explore barriers of seeing psychiatrists, expressed on the internet by age groups. METHODS: A corpus of data was garnered extensively from internet communities, blogs and social network services from 1 January 2016 to 31 July 2019. Among the texts collected, texts containing words linked to psychiatry were selected. Then the corpus was dismantled into words by using natural language processing. Words linked to barriers to seeking help were identified and classified. Then the words from web communities that we were able to identify the age groups were additionally organized by age groups. RESULTS: 97,730,360 articles were identified and 6,097,369 were included in the analysis. Words implying the barriers were selected and classified into four groups of structural discrimination, public prejudice, low accessibility, and adverse drug effects. Structural discrimination was the greatest barrier occupying 34%, followed by public prejudice (27.8%), adverse drug effects (18.6%), and cost/low accessibility (16.1%). In the analysis by age groups, structural discrimination caused teenagers (51%), job seekers (64%) and mothers with children (43%) the most concern. In contrast, the public prejudice (49%) was the greatest barriers in the senior group. CONCLUSIONS: Although structural discrimination may most contribute to barriers to visiting psychiatrists in Korea, variation by generations may exist. Along with the general attempt to tackle the discrimination, customized approach might be needed. BioMed Central 2022-05-13 /pmc/articles/PMC9102713/ /pubmed/35562709 http://dx.doi.org/10.1186/s12888-022-03969-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Seo, Hwo Yeon Song, Gil Young Ku, Jee Won Park, Hye Yoon Myung, Woojae Kim, Hee Jung Baek, Chang Hyeon Lee, Nami Sohn, Jee Hoon Yoo, Hee Jeong Park, Jee Eun Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title | Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title_full | Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title_fullStr | Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title_full_unstemmed | Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title_short | Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data |
title_sort | perceived barriers to psychiatric help-seeking in south korea by age groups: text mining analyses of social media big data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102713/ https://www.ncbi.nlm.nih.gov/pubmed/35562709 http://dx.doi.org/10.1186/s12888-022-03969-1 |
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