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Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis
Doctor–patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients’ attitudes toward physicians changed during the pandemic and what factors...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603644/ https://www.ncbi.nlm.nih.gov/pubmed/36294022 http://dx.doi.org/10.3390/ijerph192013446 |
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author | Li, Jiaxuan Pang, Patrick Cheong-Iao Xiao, Yundan Wong, Dennis |
author_facet | Li, Jiaxuan Pang, Patrick Cheong-Iao Xiao, Yundan Wong, Dennis |
author_sort | Li, Jiaxuan |
collection | PubMed |
description | Doctor–patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients’ attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regarding Chinese doctors from three regions from the online health platform Good Doctors Online (haodf.com, accessed on 13 October 2022). These comments were analyzed using text mining techniques, such as sentiment and word frequency analyses. The results showed improvements in DPRs after the pandemic, and the degree of improvement was related to the extent to which a location was affected. The findings also suggest that administrative services in the healthcare sector need further improvement. Based on these results, we summarize relevant recommendations at the end of this paper. |
format | Online Article Text |
id | pubmed-9603644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96036442022-10-27 Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis Li, Jiaxuan Pang, Patrick Cheong-Iao Xiao, Yundan Wong, Dennis Int J Environ Res Public Health Article Doctor–patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients’ attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regarding Chinese doctors from three regions from the online health platform Good Doctors Online (haodf.com, accessed on 13 October 2022). These comments were analyzed using text mining techniques, such as sentiment and word frequency analyses. The results showed improvements in DPRs after the pandemic, and the degree of improvement was related to the extent to which a location was affected. The findings also suggest that administrative services in the healthcare sector need further improvement. Based on these results, we summarize relevant recommendations at the end of this paper. MDPI 2022-10-18 /pmc/articles/PMC9603644/ /pubmed/36294022 http://dx.doi.org/10.3390/ijerph192013446 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Jiaxuan Pang, Patrick Cheong-Iao Xiao, Yundan Wong, Dennis Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title | Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title_full | Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title_fullStr | Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title_full_unstemmed | Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title_short | Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis |
title_sort | changes in doctor–patient relationships in china during covid-19: a text mining analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603644/ https://www.ncbi.nlm.nih.gov/pubmed/36294022 http://dx.doi.org/10.3390/ijerph192013446 |
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