Background TikTok (Culver City, CA) is a powerful and popular source of patient education. However, the lack of content regulation allows for the potential spread of medical misinformation. Objectives Analyze the source, content, quality, and reliability of TikTok posts regarding non-surgical cosmetic facial injectable treatments including Botox and fillers. Methods The TikTok application was queried using 14 popular hashtags related to non-surgical facial injectable treatments. The top 25 search result videos from each hashtag were included in the analysis. Videos were categorized based on content creator and video type and descriptive metrics collected for each result. Educational videos were further analyzed for content quality using the validated modified DISCERN (mDISCERN) score and the Patient Education Materials Assessment Tool (PEMAT) scales. Univariate and linear regression models were utilized for content analysis between groups. Results The included 340 videos totaled 306,552,644 views, 22,715,689 likes, 220,072 comments, and 352,614 shares. Most videos were uploaded by non-physician healthcare providers (n = 126, 37.1%), and patient experience (n = 130, 38.2%) was the most common video category. Healthcare team content creators had significantly lower median views, likes, comments, shares, and engagement when compared to non-healthcare team content (p<0.001). DISCERN scores for information reliability were significantly higher in physician-created videos than non-physician and non-physician health care provider created videos (2 vs. 1.5, p<0.001, 2 vs. 1.5 p=0.001 respectively). Conclusions The overall quality of TikTok videos regarding non-surgical cosmetic facial injectable treatments was low, which may stem from a lack of content from physician content creators.

Objective: Despite efforts to encourage breastfeeding, exclusive breastfeeding (EBF) rates in the Bronx remain suboptimal. Hospital restrictions and uncertainty surrounding the side effects of COVID-19 greatly impacted the mother-infant dyad during the postpartum hospitalization. Preliminary studies found an initial decrease in EBF, but lasting effects remain unknown. This study aimed to investigate the effect of the COVID-19 pandemic on birth hospitalization EBF rates among a high-risk urban patient population. Study Design: A retrospective chart review was conducted on all newborns admitted to the newborn nursery at an urban medical center between 2019 and 2021. Patients were separated into pre-pandemic and pandemic cohorts. Patient demographics, maternal comorbidities, length of stay, feeding method, and newborn characteristics, including status as high risk for hypoglycemia, were collected. EBF was defined as receiving only mother’s milk during the birth hospitalization. Descriptive statistics and bivariate analysis were used to examine the data. Results: 630 pre-pandemic and 643 pandemic newborns were included. The cohorts did not differ in baseline maternal characteristics. Pre-pandemic newborns were less likely to be high risk (23.3% vs. 29.4%, p= 0.01), more likely to see the hospital lactation consultant (53.2% vs. 24.0%, p< 0.001), and had a longer average length of stay (63.4 vs. 54.5 hours, p< 0.001). Most infants in both cohorts received some breastmilk during the hospitalization (97.6% vs. 94.6%, NS). There was no difference in EBF between cohorts among all newborns (9.5% vs. 11.4%, p= 0.29), or among non-high-risk newborns (12.2% vs. 15.0%, p=0.22). Conclusion: EBF rates in the Bronx, NY did not change during the pandemic period, despite an increase in high-risk newborns. Further investigation into the effect of lactation consultation, maternal race, ethnicity, and primary language should be further explored to understand the implications of healthcare disparities on the mother-infant dyad.