Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

This study provides a comprehensive, data-driven understanding of the complex lived experiences of patients undergoing dialysis shared on social media. The findings underscore the need for more holistic, patient-centered care models and policies that address the multidimensional challenges illuminated by patients' voices.

Authors

Anjali Bundele (ORCID: https://orcid.org/0000-0003-1450-5467)
Qian Xu (ORCID: https://orcid.org/0009-0007-6845-9618)
Ravi Shankar (ORCID: https://orcid.org/0009-0005-5578-3481)

Institutions

Alexandra Hospital (SG)
University of Bristol (GB)

Publication Details

Journal: Journal of Medical Internet Research
Published: 2025-05-15
DOI: https://doi.org/10.2196/70128
Citations: 3
Primary Topic: Social Media in Health Education
Type: article
Field-Weighted Citation Impact: 6.50

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article

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Anjali Bundele, Qian Xu, Ravi Shankar

May 15, 2025

3 citations

Journal of Medical Internet Research

Social Media in Health Education

6.50

article

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Anjali Bundele, Qian Xu, Ravi Shankar

May 15, 2025article en

3 citations

Abstract

This study provides a comprehensive, data-driven understanding of the complex lived experiences of patients undergoing dialysis shared on social media. The findings underscore the need for more holistic, patient-centered care models and policies that address the multidimensional challenges illuminated by patients' voices.

Journal of Medical Internet ResearchVol. 27

Alexandra Hospital (SG), University of Bristol (GB)

Quality Education

Openalex Percentile: Top 4%

Social Media in Health Education

6.50

DOI Open Access PDF OpenAlex

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