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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Aug 2, 2024
Open Peer Review Period: Aug 8, 2024 - Oct 3, 2024
Date Accepted: Jan 29, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis

Hwang HJ, Kim N, You JY, Ryu HR, Kim SY, Park JHY, Lee KW

Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis

J Med Internet Res 2025;27:e64838

DOI: 10.2196/64838

PMID: 39998877

PMCID: 11897675

Harnessing Social Media Data to Understand Information Needs about Kidney Diseases and Emotional Experiences with Disease Management: Topic and Sentiment Analysis

  • Hee Jeong Hwang; 
  • Nara Kim; 
  • Jeong Yun You; 
  • Hye Ri Ryu; 
  • Seo-Young Kim; 
  • Jung Han Yoon Park; 
  • Ki Won Lee

ABSTRACT

Background:

Kidney diseases encompass a variety of conditions, including chronic kidney disease, acute kidney injury, glomerulonephritis, and polycystic kidney disease. These diseases significantly impact patients' quality of life and healthcare costs, often necessitating substantial lifestyle changes, especially regarding dietary management. However, patients frequently receive ambiguous or conflicting dietary advice from healthcare providers, leading them to seek information and support from online health communities.

Objective:

This study aims to analyze social media data to better understand the experiences, challenges, and concerns of kidney disease patients and their caregivers in South Korea. Specifically, it explores how online communities assist in disease management and examines the sentiment surrounding dietary management.

Methods:

Data were collected from "KidneyCafe," a prominent South Korean online community for kidney disease patients hosted on the Naver platform. A total of 124,211 posts from ten disease-specific boards were analyzed using latent Dirichlet allocation for topic modeling and Bidirectional Encoder Representations from Transformers (BERT)-based sentiment analysis. Additionally, efficiently learning an encoder that classifies token replacements accurately (ELECTRA)-based classification was used to analyze posts related to disease management further.

Results:

The analysis identified six main topics within the community: Family Health and Support, Medication and Side Effects, Examination and Diagnosis, Disease Management, Surgery for Dialysis, and Costs and Insurance. Sentiment analysis revealed that posts related to Medication and Side Effects topic and Surgery for Dialysis topic predominantly expressed negative sentiments. Both significant negative sentiments concerning worries about kidney transplantation among family members and positive sentiments regarding physical improvements post-transplantation were expressed in posts about family health and support. For Disease Management, seven key subtopics were identified, with inquiries about dietary management being the leading topic.

Conclusions:

The findings highlight the critical role of online communities in providing support and information for kidney disease patients and their caregivers. The insight gained from this study can inform healthcare providers, policymakers, and support organizations to better address the needs of kidney disease patients, particularly in areas related to dietary management and emotional support.


 Citation

Please cite as:

Hwang HJ, Kim N, You JY, Ryu HR, Kim SY, Park JHY, Lee KW

Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis

J Med Internet Res 2025;27:e64838

DOI: 10.2196/64838

PMID: 39998877

PMCID: 11897675

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