Cross‐sectional analysis of skin lightening and skin bleaching practices on social media

2021 ◽  
Author(s):  
Nidhi Shah ◽  
Shilpa Ghatnekar ◽  
Kristina J. Liu
Keyword(s):  
Social Media ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Skin Bleaching ◽  
Sectional Analysis ◽  
Skin Lightening

What’s Being Recommended to Patients on Social Media? A Cross-Sectional Analysis of Acne Treatments on YouTube

2021 ◽  
Author(s):  
Melissa A. Nickles ◽  
Andrea M. Rustad ◽  
Nonye N. Ogbuefi ◽  
Jenna E. McKenney ◽  
Molly Stout
Keyword(s):  
Social Media ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Social Media Content of Idiopathic Pulmonary Fibrosis Groups and Pages on Facebook: A Cross Sectional Analysis (Preprint)

2020 ◽  
Author(s):  
Andrew Kochan ◽  
Shaun Ong ◽  
Sabina Guler ◽  
Kerri A. Johannson ◽  
Christopher J. Ryerson ◽  
...  
Keyword(s):  
Social Media ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Medical Information ◽  
Scientific Information ◽  
User Engagement ◽  
Search Term ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

BACKGROUND Patients use Facebook as a resource for medical information. We analyzed posts on idiopathic pulmonary fibrosis (IPF)-related Facebook groups and pages for presence of guideline content, user engagement, and usefulness. OBJECTIVE The objective of this study was to describe and analyze posts from Facebook groups and pages that primarily focus on IPF-related content. METHODS Cross-sectional analysis was performed on a single date, identifying Facebook groups and pages resulting from separately searching “IPF” and “idiopathic pulmonary fibrosis”. For inclusion, groups and pages needed to meet either search term and be in English, publicly available, and relevant to IPF. Every tenth post was assessed for general characteristics, source, focus, and user engagement metrics. Posts were analyzed for presence of IPF guideline content, useful scientific information (e.g. scientific publications), useful support information (e.g. information about support groups), and potentially harmful information. RESULTS Eligibility criteria were met by 12 groups and 27 pages, leading to analysis of 523 posts. Of these, 42% contained guideline content, 24% provided useful support, 20% provided useful scientific information, and 5% contained potentially harmful information. Post source was most commonly non-medical users (85%). Posts most frequently focused on IPF-related news (29%). Posts containing any guideline content had fewer likes or comments and a higher likelihood of containing potentially harmful content. Posts containing useful supportive information had more likes, shares, and comments. CONCLUSIONS Facebook contains useful information about IPF, but posts with misinformation and less guideline content have higher user engagement, making them more visible. Identifying ways to help IPF patients discriminate between useful and harmful information on Facebook and other social media platforms is an important task for healthcare professionals.

scholarly journals Correlations Between Hospitals’ Social Media Presence and Reputation Score and Ranking: Cross-Sectional Analysis (Preprint)

2017 ◽  
Author(s):  
Justin D Triemstra ◽  
Rachel Stork Poeppelman ◽  
Vineet M Arora
Keyword(s):  
Social Media ◽  
Correlation Coefficients ◽  
Children's Hospitals ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Children’S Hospitals ◽  
Reputation Score ◽  
The Us ◽  
Social Media Presence ◽  
Sectional Analysis

BACKGROUND The US News and World Report reputation score correlates strongly with overall rank in adult and pediatric hospital rankings. Social media affects how information is disseminated to physicians and is used by hospitals as a marketing tool to recruit patients. It is unclear whether the reputation score for adult and children’s hospitals relates to social media presence. OBJECTIVE The objective of our study was to analyze the association between a hospital’s social media metrics and the US News 2017-2018 Best Hospital Rankings for adult and children’s hospitals. METHODS We conducted a cross-sectional analysis of the reputation score, total score, and social media metrics (Twitter, Facebook, and Instagram) of hospitals who received at least one subspecialty ranking in the 2017-2018 US News publicly available annual rankings. Regression analysis was employed to analyze the partial correlation coefficients between social media metrics and a hospital’s total points (ie, rank) and reputation score for both adult and children’s hospitals while controlling for the bed size and time on Twitter. RESULTS We observed significant correlations for children’s hospitals’ reputation score and total points with the number of Twitter followers (total points: r=.465, P<.001; reputation: r=.524, P<.001) and Facebook followers (total points: r=.392, P=.002; reputation: r=.518, P<.001). Significant correlations for the adult hospitals reputation score were found with the number of Twitter followers (r=.848, P<.001), number of tweets (r=.535, P<.001), Klout score (r=.242, P=.02), and Facebook followers (r=.743, P<.001). In addition, significant correlations for adult hospitals total points were found with Twitter followers (r=.548, P<.001), number of tweets (r=.358, P<.001), Klout score (r=.203, P=.05), Facebook followers (r=.500, P<.001), and Instagram followers (r=.692, P<.001). CONCLUSIONS A statistically significant correlation exists between multiple social media metrics and both a hospital’s reputation score and total points (ie, overall rank). This association may indicate that a hospital’s reputation may be influenced by its social media presence or that the reputation or rank of a hospital drives social media followers.

scholarly journals Social Media Content of Idiopathic Pulmonary Fibrosis Groups and Pages on Facebook: Cross Sectional Analysis (Preprint)

10.2196/24199 ◽  
2020 ◽  
Author(s):  
Andrew Kochan ◽  
Shaun Ong ◽  
Sabina Guler ◽  
Kerri A. Johannson ◽  
Christopher J. Ryerson ◽  
...  
Keyword(s):  
Social Media ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Media Content ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Social media use, physical activity, and internalizing symptoms in adolescence: Cross-sectional analysis (Preprint)

10.2196/26134 ◽  
2020 ◽  
Author(s):  
Lauren A. Rutter ◽  
Holly M. Thompson ◽  
Jacqueline Howard ◽  
Tennisha N. Riley ◽  
Robinson De Jesús-Romero ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Internalizing Symptoms ◽  
Media Use ◽  
Social Media Use ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

The importance of social media for patients and families affected by congenital anomalies: A Facebook cross-sectional analysis and user survey

2016 ◽  
Vol 51 (11) ◽  
pp. 1766-1771 ◽  
Author(s):  
Robyn Jacobs ◽  
Leanne Boyd ◽  
Kirsty Brennan ◽  
C.K. Sinha ◽  
Stefano Giuliani
Keyword(s):  
Social Media ◽  
Congenital Anomalies ◽  
User Survey ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Engaging but inaccurate: A cross-sectional analysis of acne videos on social media from non–health care sources

2020 ◽  
Vol 83 (2) ◽  
pp. 610-612 ◽  
Author(s):  
Andrea J. Borba ◽  
Paulina M. Young ◽  
Charlotte Read ◽  
April W. Armstrong
Keyword(s):  
Health Care ◽  
Social Media ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals The nature and accuracy of Instagram posts concerning marketed orthodontic products: A cross-sectional analysis

2021 ◽  
Author(s):  
Aslam Alkadhimi ◽  
Dalya Al-Moghrabi ◽  
Padhraig S. Fleming
Keyword(s):  
Social Media ◽  
Treatment Duration ◽  
Point Scale ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Social Media Platforms ◽  
Sectional Analysis ◽  
Clinical Cases

ABSTRACT Objectives To scrutinize claims contained within Instagram posts related to six popular marketed orthodontic products. Materials and Methods Three hundred publicly available Instagram posts were identified using the following Instagram hashtags: #carrieremotion, #damonbraces, #invisalign, #acceledent, #propelorthodontics, and #myobrace. Pilot coding was undertaken on a subset of claims (n = 50) and a coding guide was developed. The associated claims were categorized under 24 recognized themes and their accuracy assessed on a five-point scale. Results Of 1730 posts screened, 300 were included for analysis. The majority of posts were based on photographs (n = 244, 81.3%) with the remainder (n = 56, 18.7%) including videos. Half of the posts involved a picture of the product in isolation (n = 150, 50%), with clinical cases presented in a minority (n = 99, 33%). Overall, 472 claims were included with treatment duration being the most frequent theme (n = 125, 26.5%). In terms of accuracy, most of the claims were judged to be “false” (n = 283, 60%) with less than 2% considered “objectively true.” Conclusions Most of the claims relating to six popular marketed orthodontic products concerned treatment duration. The vast majority of these claims were not supported by evidence and were judged to be false. Efforts should be made to promote the provision of accurate orthodontic information and to verify marketing claims on social media platforms.

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