Cargando…

Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population

BACKGROUND: Patients with diabetes who have poor health literacy about the disease may exhibit poor compliance and thus subsequently experience more complications. However, the conceptual gap of diabetes between health providers and the general population is still not well understood. Decoding conce...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ru-Hsueh, Hong, Yu-Wen, Li, Chia-Chun, Li, Siao-Ling, Liu, Jenn-Long, Wu, Chih-Hsing, Chiu, Ching-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482184/
https://www.ncbi.nlm.nih.gov/pubmed/36115943
http://dx.doi.org/10.1186/s12875-022-01846-0
_version_ 1784791397163859968
author Wang, Ru-Hsueh
Hong, Yu-Wen
Li, Chia-Chun
Li, Siao-Ling
Liu, Jenn-Long
Wu, Chih-Hsing
Chiu, Ching-Ju
author_facet Wang, Ru-Hsueh
Hong, Yu-Wen
Li, Chia-Chun
Li, Siao-Ling
Liu, Jenn-Long
Wu, Chih-Hsing
Chiu, Ching-Ju
author_sort Wang, Ru-Hsueh
collection PubMed
description BACKGROUND: Patients with diabetes who have poor health literacy about the disease may exhibit poor compliance and thus subsequently experience more complications. However, the conceptual gap of diabetes between health providers and the general population is still not well understood. Decoding concerns about diabetes on social media may help to close this gap. METHODS: Social media data were collected from the OpView social media platform. After checking the quality of the data, we analyzed the trends in people’s discussions on the internet using text mining. The natural language process includes word segmentation, word counting and counting the relationships between the words. A word cloud was developed, and clustering analyses were performed. RESULTS: There were 19,565 posts about diabetes collected from forums, community websites, and Q&A websites in the summer (June, July, and August) of 2017. The three most popular aspects of diabetes were diet (33.2%), life adjustment (21.2%), and avoiding complications (15.6%). Most discussions about diabetes were negative. The negative/positive ratios of the top three aspects were avoiding complications (7.60), problem solving (4.08), and exercise (3.97). In terms of diet, the most popular topics were Chinese medicine and special diet therapy. In terms of life adjustment, financial issues, weight reduction, and a less painful glucometer were discussed the most. Furthermore, sexual dysfunction, neuropathy, nephropathy, and retinopathy were the most worrisome issues in avoiding complications. Using text mining, we found that people care most about sexual dysfunction. Health providers care about the benefits of exercise in diabetes care, but people are mostly concerned about sexual functioning. CONCLUSION: A conceptual gap between health providers and the network population existed in this real-world social media investigation. To spread healthy diabetic education concepts in the media, health providers might wish to provide more information related to the network population’s actual areas of concern, such as sexual function, Chinese medicine, and weight reduction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01846-0.
format Online
Article
Text
id pubmed-9482184
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-94821842022-09-18 Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population Wang, Ru-Hsueh Hong, Yu-Wen Li, Chia-Chun Li, Siao-Ling Liu, Jenn-Long Wu, Chih-Hsing Chiu, Ching-Ju BMC Prim Care Research BACKGROUND: Patients with diabetes who have poor health literacy about the disease may exhibit poor compliance and thus subsequently experience more complications. However, the conceptual gap of diabetes between health providers and the general population is still not well understood. Decoding concerns about diabetes on social media may help to close this gap. METHODS: Social media data were collected from the OpView social media platform. After checking the quality of the data, we analyzed the trends in people’s discussions on the internet using text mining. The natural language process includes word segmentation, word counting and counting the relationships between the words. A word cloud was developed, and clustering analyses were performed. RESULTS: There were 19,565 posts about diabetes collected from forums, community websites, and Q&A websites in the summer (June, July, and August) of 2017. The three most popular aspects of diabetes were diet (33.2%), life adjustment (21.2%), and avoiding complications (15.6%). Most discussions about diabetes were negative. The negative/positive ratios of the top three aspects were avoiding complications (7.60), problem solving (4.08), and exercise (3.97). In terms of diet, the most popular topics were Chinese medicine and special diet therapy. In terms of life adjustment, financial issues, weight reduction, and a less painful glucometer were discussed the most. Furthermore, sexual dysfunction, neuropathy, nephropathy, and retinopathy were the most worrisome issues in avoiding complications. Using text mining, we found that people care most about sexual dysfunction. Health providers care about the benefits of exercise in diabetes care, but people are mostly concerned about sexual functioning. CONCLUSION: A conceptual gap between health providers and the network population existed in this real-world social media investigation. To spread healthy diabetic education concepts in the media, health providers might wish to provide more information related to the network population’s actual areas of concern, such as sexual function, Chinese medicine, and weight reduction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01846-0. BioMed Central 2022-09-17 /pmc/articles/PMC9482184/ /pubmed/36115943 http://dx.doi.org/10.1186/s12875-022-01846-0 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
Wang, Ru-Hsueh
Hong, Yu-Wen
Li, Chia-Chun
Li, Siao-Ling
Liu, Jenn-Long
Wu, Chih-Hsing
Chiu, Ching-Ju
Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title_full Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title_fullStr Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title_full_unstemmed Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title_short Using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
title_sort using social media data in diabetes care: bridging the conceptual gap between health providers and the network population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482184/
https://www.ncbi.nlm.nih.gov/pubmed/36115943
http://dx.doi.org/10.1186/s12875-022-01846-0
work_keys_str_mv AT wangruhsueh usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT hongyuwen usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT lichiachun usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT lisiaoling usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT liujennlong usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT wuchihhsing usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation
AT chiuchingju usingsocialmediadataindiabetescarebridgingtheconceptualgapbetweenhealthprovidersandthenetworkpopulation