Eliciting Emotion and Action Increases Social Media Engagement: An Analysis of Influential Orthopaedic Surgeons.

PURPOSE: The purpose of this study is to analyze the Instagram practices of current orthopaedic surgeons and the components associated with highest reach and interactions. METHODS: The top 25 orthopaedic surgeon Instagram profiles using the hashtag #ortho were ranked by the number of followers. Account information regarding followers, posts, engagement percentage, average likes, average comments, average video view, average video likes, average video comments, and estimated cost per post was recorded using social media marketing tools. An analysis of each Instagram profiles' top 10 posts, based on number of likes, was conducted. A coding framework was developed to categorized posting strategies utilized. RESULTS: Twenty-five Instagram accounts and 250 Instagram posts were included in the analysis. Accounts with increased engagement rating had a significantly greater number of likes and video views. When examining post characteristics that influenced the number of likes a post generated, posts that elicited negative emotions received 52.6% and 70.7% more likes than positive emotions (P = .04) and neutral emotions (P < .01), respectively. Upon assessment of posting characteristics that influenced the number of comments a post generated, promotional posts were shown to have 43.7% fewer comments than nonpromotional posts (P = .02). When evaluating factors that influenced total number of interactions a post generated, it was found that posts that asked questions generated 26.4% more interactions (P < .01) than those that do not. CONCLUSIONS: The present investigation found that the most effective strategies to generate more interactions on Instagram are those that elicit emotional responses and provoke viewer engagement by asking questions and directing actions. Additionally, it was found that promotional content was not well received by viewers. CLINICAL RELEVANCE: Orthopaedic surgeons have an opportunity to connect with colleagues, patients, and interested viewers through social media platforms in order to enhance their practice, disseminate educational content, and contribute to the social media presence of orthopaedic surgery.

Age Significantly Affects Response Rate to Outcomes Questionnaires Using Mobile Messaging Software.

PURPOSE: To investigate the demographic factors that influence time to respond (TTR), time to completion (TTC), and response rate when using a text messaging-based system and to determine the feasibility and applicability of mobile messaging-based services for collection of patient-reported outcomes among orthopaedic sports medicine patients. METHODS: On the day of surgery, patient mobile phone number was collected and the automated mobile messaging service (MOSIO, Seattle, WA) messaged patients for 10 ``days postoperatively. Patient visual analog scale (VAS) scores were collected 3 times daily, side effects were asked each evening, and Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference (PI) Short Form was collected on postoperative day 3 and 7. RESULTS: A total of 177 patients were enrolled in the study. The overall response rate to the survey questions was 75.0%. For all patients, the average TTR of questions was 35.09 ± 12.57 minutes. The TTC was 2.75 ± 3.56 minutes for PROMIS-PI, 3.51 ± 1.26 minutes for VAS, and 3.80 ± 6.87 for side-effect questions. When patients were stratified into age groups, the youngest group, 16 to 32 years, had the greatest response rate of 85.2% and patients in the 49 to 59 years group had the lowest response rate of 68.4% and 69.1%, respectively (P < .001). There was no significant difference in the TTR or TTC for VAS, PROMIS-PI, or side-effect questions when patients were stratified by age or sex groups (P > .05). CONCLUSIONS: Collectively, all age groups successfully achieved a mean response rate of 75%; however, significantly lower response rates were observed for patients >49 years old. Differences in age and sex did not impact the overall TTR or TTC for VAS, PROMIS-PI, or side-effect questions. Mobile-based applications present as an emerging opportunity to track postoperative outcome scores and reduce clinic survey load. LEVEL OF EVIDENCE: Case series, level of evidence IV.

Manganese transporter Slc30a10 controls physiological manganese excretion and toxicity.

Manganese (Mn), an essential metal and nutrient, is toxic in excess. Toxicity classically results from inhalational exposures in individuals who work in industrial settings. The first known disease of inherited Mn excess, identified in 2012, is caused by mutations in the metal exporter SLC30A10 and is characterized by Mn excess, dystonia, cirrhosis, and polycythemia. To investigate the role of SLC30A10 in Mn homeostasis, we first generated whole-body Slc30a10-deficient mice, which developed severe Mn excess and impaired systemic and biliary Mn excretion. Slc30a10 localized to canalicular membranes of hepatocytes, but mice with liver Slc30a10 deficiency developed minimal Mn excess despite impaired biliary Mn excretion. Slc30a10 also localized to the apical membrane of enterocytes, but mice with Slc30a10 deficiency in small intestines developed minimal Mn excess despite impaired Mn export into the lumen of the small intestines. Finally, mice with Slc30a10 deficiency in liver and small intestines developed Mn excess that was less severe than that observed in mice with whole-body Slc30a10 deficiency, suggesting that additional sites of Slc30a10 expression contribute to Mn homeostasis. Overall, these results indicated that Slc30a10 is essential for Mn excretion by hepatocytes and enterocytes and could be an effective target for pharmacological intervention to treat Mn toxicity.

Gastrointestinal iron excretion and reversal of iron excess in a mouse model of inherited iron excess.

The current paradigm in the field of mammalian iron biology states that body iron levels are determined by dietary iron absorption, not by iron excretion. Iron absorption is a highly regulated process influenced by iron levels and other factors. Iron excretion is believed to occur at a basal rate irrespective of iron levels and is associated with processes such as turnover of intestinal epithelium, blood loss, and exfoliation of dead skin. Here we explore iron excretion in a mouse model of iron excess due to inherited transferrin deficiency. Iron excess in this model is attributed to impaired regulation of iron absorption leading to excessive dietary iron uptake. Pharmacological correction of transferrin deficiency not only normalized iron absorption rates and halted progression of iron excess but also reversed body iron excess. Transferrin treatment did not alter the half-life of 59Fe in mutant mice. 59Fe-based studies indicated that most iron was excreted via the gastrointestinal tract and suggested that iron-loaded mutant mice had increased rates of iron excretion. Direct measurement of urinary iron levels agreed with 59Fe-based predictions that urinary iron levels were increased in untreated mutant mice. Fecal ferritin levels were also increased in mutant mice relative to wild-type mice. Overall, these data suggest that mice have a significant capacity for iron excretion. We propose that further investigation into iron excretion is warranted in this and other models of perturbed iron homeostasis, as pharmacological targeting of iron excretion may represent a novel means of treatment for diseases of iron excess.