Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis.

ABSTRACT:

Background

Current qualitative literature about the experiences of women dealing with urinary tract infections (UTIs) is limited to patients recruited from tertiary centers and medical clinics. However, traditional focus groups and interviews may limit what patients share. Using digital ethnography, we analyzed free-range conversations of an online community.

Objective

This study aimed to investigate and characterize the patient perspectives of women dealing with UTIs using digital ethnography.

Methods

A data-mining service was used to identify online posts. A thematic analysis was conducted on a subset of the identified posts. Additionally, a latent Dirichlet allocation (LDA) probabilistic topic modeling method was applied to review the entire data set using a semiau

SUBMITTER: Gonzalez G 

PROVIDER: S-EPMC8826307 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature