Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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
_version_ 1784707393494450176
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
work_keys_str_mv AT seohwoyeon perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT songgilyoung perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT kujeewon perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT parkhyeyoon perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT myungwoojae perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT kimheejung perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT baekchanghyeon perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT leenami perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT sohnjeehoon perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT yooheejeong perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata
AT parkjeeeun perceivedbarrierstopsychiatrichelpseekinginsouthkoreabyagegroupstextmininganalysesofsocialmediabigdata