#PlasticSurgery: A Comparative Deep Dive Analysis into Social Media and Plastic Surgery.

BACKGROUND: As social media have become pervasive in contemporary society, plastic surgery content has become commonplace. Two of the most engaging and popular platforms are Instagram and Twitter, and much research has been performed with respect to Twitter. Currently, there are no studies comparing and contrasting the two platforms. The aim of this study was to robustly sample plastic surgery posts on Twitter and Instagram to quantitatively and qualitatively evaluate platform content differences. METHODS: The hashtag #PlasticSurgery was systematically queried twice per day, for 30 consecutive days, on Twitter and Instagram. Account type, specific media content, possible patient-identifying information, content analysis, and post engagement were assessed. Post volume and engagement between Instagram and Twitter posts were compared. Post characteristics garnering high engagement from each platform were also evaluated. RESULTS: A total of 3867 Twitter posts and 5098 Instagram posts were included in this analysis. Daily total post volume for the 1-month duration of the study was significantly higher on Instagram compared with Twitter. Overall post engagement was significantly higher on Instagram compared with Twitter. Plastic surgeons and plastic surgery clinics represented the majority of accounts posting on both platforms with #PlasticSurgery. Identifiable patient features were much more prevalent on Instagram. The majority of Instagram posts were promotional in nature, outcome-based, or unrelated to plastic surgery. Alternatively, tweets were predominantly educational in nature. CONCLUSIONS: For physicians to harness the power of social media in plastic surgery, we need to understand how these media are currently being used and how different platforms compare to one another. This study has highlighted the inherent similarities and differences between these two highly popular platforms.

Just Because (Most) Hospitals Are Publishing Charges Does Not Mean Prices Are More Transparent.

BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) recently mandated that all hospitals publish their charge description masters (CDMs) online, in a machine-readable format, by January 1, 2019. In addition, CMS recommended that CDM data be made available in a manner that was consumer friendly and accessible to patients. OBJECTIVE: This study aimed to (1) examine all hospitals across the state of Pennsylvania to understand policy compliance and (2) use established metrics to measure accessibility and consumer friendliness of posted CDM data. METHODS: A cross-sectional analysis was conducted to quantify hospital website compliance with the recent CMS policies requiring hospitals to publish their CDM. Data were collected from all Pennsylvania hospital websites. Consumer friendliness was assessed based on searchability, number of website clicks to data, and supplemental educational materials accompanying CDMs such as videos or text. RESULTS: Most hospitals (189/234, 80.1%) were compliant, but significant variation in data presentation was observed. The mean number of website clicks to the CDM was 3.7 (SD 1.3; range: 1-8). A total of 23.1% of compliant hospitals provided no supplemental educational material with their CDM. CONCLUSIONS: Although disclosure of charges has improved, the data may not be sufficient to meaningfully influence patient decision making.

A risk model and cost analysis of post-operative incisional hernia following 2,145 open hysterectomies-Defining indications and opportunities for risk reduction.

BACKGROUND: Incisional hernia (IH) is a complication following open abdominal hysterectomy. This study addresses the incidence and health care cost of IH repair after open hysterectomy, and identify perioperative risk factors to create predictive risk models. METHODS: We conduct a retrospective review of patients who underwent open hysterectomy between 2005 and 2013 at the University of Pennsylvania. The primary outcome was post-hysterectomy IH. Univariate/multivariate cox proportional hazard analyses identified perioperative risk factors. We performed cox hazard regression modeling with bootstrapped validation, risk stratification, and assessment of model performance. RESULTS: 2145 patients underwent open hysterectomy during the study period. 76 patients developed IH, and all underwent repair. 31.3% underwent reoperation, generating higher costs ($71,559 vs. $23,313, p < 0.001). 8 risk factors were included in the model, the strongest being presence of a vertical incision (HR = 3.73 [2.01-6.92]). Extreme-risk patients experienced the highest incidence of IH (22%) vs. low-risk patients (0.8%) [C-statistic = 0.82]. CONCLUSIONS: We identify perioperative risk factors for IH and provide a risk prediction instrument to accurately stratify patients in effort to offer risk reductive techniques. SUMMARY: Open hysterectomies account for a magnitude of surgical procedures worldwide. This study presents an internally validated risk model of IH in patients undergoing open hysterectomy after a review of 2145 cases. With an increasing emphasis on prevention in healthcare, we create a risk model to improve outcomes after open hysterectomies in effort to identify high-risk patients, facilitate preoperative risk counseling, and implement evidence-based strategies to improve outcomes.