Characteristics of pelvic organ prolapse content available on social media
Autor: | Amber S. Herbert, Lauren Pace, Rena D. Malik |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Urology media_common.quotation_subject 030232 urology & nephrology Video Recording Health literacy Logistic regression Pelvic Organ Prolapse Odds 03 medical and health sciences 0302 clinical medicine Health care Medicine Humans Social media Quality (business) media_common 030219 obstetrics & reproductive medicine business.industry Cross-Sectional Studies Family medicine Neurology (clinical) business Social Media Qualitative research Patient education |
Zdroj: | Neurourology and urodynamicsREFERENCES. 40(5) |
ISSN: | 1520-6777 |
Popis: | AIMS To analyze the quality, understandability, and actionability of pelvic organ prolapse (POP) content and to characterize creators of content and treatment options discussed on social media platforms YouTube, Instagram, and Pinterest. METHODS A cross-sectional, qualitative study was conducted for each platform. A search for "pelvic organ prolapse" was conducted and the first 100 relevant results analyzed. Data collected include source characteristics, treatments discussed, and scores for each criterion of validated Patient Education Materials and Assessment Tool and DISCERN metrics to evaluate quality, actionability, and understandability. The χ 2 analysis, univariate and multivariate logistic regressions were done to assess correlations and the impact of variables on outcomes of interest across platforms. RESULTS Low to moderate quality was present in 74.1% of posts. Poor understandability was seen in 37.1% of posts, and 56.1% had poor actionability. The most common publisher of content overall was health and wellness or physical therapy groups (44.6%). The most common YouTube publisher was doctors, hospitals, or clinics (49%). Pelvic floor muscle training was the most discussed treatment overall (57.4%). On YouTube surgery was discussed more frequently than Instagram or Pinterest (58% vs. 11% vs. 43%, p |
Databáze: | OpenAIRE |
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