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Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube

Introduction: Polycystic ovary syndrome (PCOS), a chronic multifactorial disorder in women of reproductive age group, is a major public health problem. With most women resorting to platforms like "YouTube" that form a perfect source of edutainment, our aim was to analyze the quality of con...

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Autores principales: Clarke, Shereece, Jangid, Gurusha, Nasr, Summer, Atchade, Axelle, Moody, Britney L, Narayan, Gaurang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578195/
https://www.ncbi.nlm.nih.gov/pubmed/37849574
http://dx.doi.org/10.7759/cureus.45354
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author Clarke, Shereece
Jangid, Gurusha
Nasr, Summer
Atchade, Axelle
Moody, Britney L
Narayan, Gaurang
author_facet Clarke, Shereece
Jangid, Gurusha
Nasr, Summer
Atchade, Axelle
Moody, Britney L
Narayan, Gaurang
author_sort Clarke, Shereece
collection PubMed
description Introduction: Polycystic ovary syndrome (PCOS), a chronic multifactorial disorder in women of reproductive age group, is a major public health problem. With most women resorting to platforms like "YouTube" that form a perfect source of edutainment, our aim was to analyze the quality of content available regarding the same. Aims: The aims and objectives of this study were to assess the quality and reliability of content related to PCOS on YouTube by analyzing the DISCERN score, global quality score (GQS), and video power index (VPI). Methodology: It was a facility-based cross-sectional study undertaken on a single day with each author reviewing 10 videos from YouTube on PCOS using predetermined keywords. The number of likes, dislikes, views, comments, and uploader backgrounds were evaluated. DISCERN score, GQS, and VPI were also calculated for each video. While data entry was done using Microsoft Excel 2020 (Microsoft Corporation, Washington, United States), the analysis was carried out using SPSS Statistics version 16 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). Categorical variables were expressed as frequency and percentages, and statistical significance was determined using the Kruskal-Wallis test/one-way ANOVA. Results: A total of 80 videos that fit the inclusion criteria were analyzed. A majority of the videos (80%) were posted a year back with no updates. Only 28.8% of the video content was posted by doctors. Though most videos (96.25%) shared information pertaining to symptomatology, only 45% spoke regarding prevention. Promotional content was noted in 28.75% of the video content. GQS and VPI were better with information being provided by doctors, hospitals, and healthcare organizations (p-value 0.033 and 0.006, respectively). Conclusions: With women reaching out to edutainment platforms like YouTube to clarify their concerns surrounding lifestyle diseases such as PCOS in the digital era, it becomes relevant to evaluate the quality of content available on such platforms. The findings of the study form a prototype for addressing the existing gaps in the knowledge available on YouTube. Furthermore, the findings warrant frequent monitoring of such available web-based content and delivery of such content only from qualified wellness experts.
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spelling pubmed-105781952023-10-17 Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube Clarke, Shereece Jangid, Gurusha Nasr, Summer Atchade, Axelle Moody, Britney L Narayan, Gaurang Cureus Obstetrics/Gynecology Introduction: Polycystic ovary syndrome (PCOS), a chronic multifactorial disorder in women of reproductive age group, is a major public health problem. With most women resorting to platforms like "YouTube" that form a perfect source of edutainment, our aim was to analyze the quality of content available regarding the same. Aims: The aims and objectives of this study were to assess the quality and reliability of content related to PCOS on YouTube by analyzing the DISCERN score, global quality score (GQS), and video power index (VPI). Methodology: It was a facility-based cross-sectional study undertaken on a single day with each author reviewing 10 videos from YouTube on PCOS using predetermined keywords. The number of likes, dislikes, views, comments, and uploader backgrounds were evaluated. DISCERN score, GQS, and VPI were also calculated for each video. While data entry was done using Microsoft Excel 2020 (Microsoft Corporation, Washington, United States), the analysis was carried out using SPSS Statistics version 16 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). Categorical variables were expressed as frequency and percentages, and statistical significance was determined using the Kruskal-Wallis test/one-way ANOVA. Results: A total of 80 videos that fit the inclusion criteria were analyzed. A majority of the videos (80%) were posted a year back with no updates. Only 28.8% of the video content was posted by doctors. Though most videos (96.25%) shared information pertaining to symptomatology, only 45% spoke regarding prevention. Promotional content was noted in 28.75% of the video content. GQS and VPI were better with information being provided by doctors, hospitals, and healthcare organizations (p-value 0.033 and 0.006, respectively). Conclusions: With women reaching out to edutainment platforms like YouTube to clarify their concerns surrounding lifestyle diseases such as PCOS in the digital era, it becomes relevant to evaluate the quality of content available on such platforms. The findings of the study form a prototype for addressing the existing gaps in the knowledge available on YouTube. Furthermore, the findings warrant frequent monitoring of such available web-based content and delivery of such content only from qualified wellness experts. Cureus 2023-09-16 /pmc/articles/PMC10578195/ /pubmed/37849574 http://dx.doi.org/10.7759/cureus.45354 Text en Copyright © 2023, Clarke et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Obstetrics/Gynecology
Clarke, Shereece
Jangid, Gurusha
Nasr, Summer
Atchade, Axelle
Moody, Britney L
Narayan, Gaurang
Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title_full Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title_fullStr Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title_full_unstemmed Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title_short Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube
title_sort polycystic ovary syndrome (pcos): a cross-sectional observational study analyzing the quality of content on youtube
topic Obstetrics/Gynecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578195/
https://www.ncbi.nlm.nih.gov/pubmed/37849574
http://dx.doi.org/10.7759/cureus.45354
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