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Experiences of Women With Interstitial Cystitis/Bladder Pain Syndrome: What Can We Learn From Women's Online Discussions?
Gonzalez, Gabriela; Vaculik, Kristina; Khalil, Carine; Zektser, Yuliya; Arnold, Corey W; Almario, Christopher V; Spiegel, Brennan M R; Anger, Jennifer T.
Afiliação
  • Gonzalez G; Department of Urology, University of California, Davis School of Medicine, Sacramento, California.
  • Vaculik K; Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California.
  • Khalil C; Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California.
  • Zektser Y; David Geffen School of Medicine at University of California, Los Angeles, California.
  • Arnold CW; David Geffen School of Medicine at University of California, Los Angeles, California.
  • Almario CV; Computational Diagnostics, Departments of Radiology and Pathology, UCLA, Los Angeles, California.
  • Spiegel BMR; Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California.
  • Anger JT; Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California.
J Urol ; 209(1): 208-215, 2023 01.
Article em En | MEDLINE | ID: mdl-36075005
ABSTRACT

PURPOSE:

Interstitial cystitis/bladder pain syndrome is a debilitating chronic condition that disproportionately affects women at a ratio of 51. We sought to capture women's experiences with interstitial cystitis/bladder pain syndrome by conducting a large-scale digital ethnographic analysis of anonymous posts on Internet forums. MATERIALS AND

METHODS:

Online posts were identified using condition-specific keywords and data mining extraction services. Once posts were identified, a random sample of 200 online posts was coded and analyzed by hand using qualitative methods. A Latent Dirichlet Allocation probabilistic topic model was applied to the complete dataset to substantiate the qualitative analysis and allow for further thematic discovery.

RESULTS:

A total of 6,842 posts written by 3,902 unique users from 224 websites were identified. There was a significant overlap between the hand coding and Latent Dirichlet Allocation themes. Our analysis yielded the following themes online community engagement, triggers and disease etiologies, medical comorbidities, quality of life impact, patient experience with medical care, and alternative therapies and self-management strategies. Additionally, our population appeared to have a high burden of nonurological associated syndromes. We identified barriers to patient-centered care and found that online peer support was important for women.

CONCLUSIONS:

Our digital ethnographic analysis is a novel application of qualitative methods using online sources. Social media analytics appears to capture a broader patient population than that typically included in clinic-based qualitative studies, such as patient interviews and focus groups. Understanding patient behaviors and concerns are important to guide strategies for improving care and the overall experience with this difficult-to-treat condition.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cistite Intersticial Tipo de estudo: Qualitative_research Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cistite Intersticial Tipo de estudo: Qualitative_research Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article