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BackgroundClinical data in social media are an underused source of information with great potential to allow for a deeper understanding of patient values, attitudes, and preferences. ObjectiveThis tutorial aims to describe a novel, robust, and modular method for the sentiment analysis and emotion detection of free text from web-based forums and the factors to consider during its application. MethodsWe mined the discussion and user information of all posts containing search terms related to a medical subspecialty (oculoplastics) from MedHelp, the largest web-based platform for patient health forums. We used data cleaning and processing tools to define the relevant subset of results and prepare them for sentiment analysis. We executed sentiment and emotion analyses by using IBM Watson Natural Language Understanding to generate sentiment and emotion scores for the posts and their associated keywords. The keywords were aggregated using natural language processing tools. ResultsOverall, 39 oculoplastic-related search terms resulted in 46,381 eligible posts within 14,329 threads. Posts were written by 18,319 users (117 doctors; 18,202 patients) and included 201,611 associated keywords. Keywords that occurred ≥500 times in the corpus were used to identify the most prominent topics, including specific symptoms, medication, and complications. The sentiment and emotion scores of these keywords and eligible posts were analyzed to provide concrete examples of the potential of this methodology to allow for a better understanding of patients’ attitudes. The overall sentiment score reflects a positive, neutral, or negative sentiment, whereas the emotion scores (anger, disgust, fear, joy, and sadness) represent the likelihood of the presence of the emotion. In keyword grouping analyses, medical signs, symptoms, and diseases had the lowest overall sentiment scores (−0.598). Complications were highly associated with sadness (0.485). Forum posts mentioning body parts were related to sadness (0.416) and fear (0.321). Administration was the category with the highest anger score (0.146). The top 6 forum subgroups had an overall negative sentiment score; the most negative one was the Neurology forum, with a score of −0.438. The Undiagnosed Symptoms forum had the highest sadness score (0.448). The least likely fearful posts were those from the Eye Care forum, with a score of 0.260. The overall sentiment score was much more negative before the doctor replied. The anger, disgust, fear, and sadness emotion scores decreased in likelihood, whereas joy was slightly more likely to be expressed after doctors replied. ConclusionsThis report allows physicians and researchers to efficiently mine and perform sentiment analysis on social media to better understand patients’ perspectives and promote patient-centric care. Important factors to be considered during its application include evaluating the scope of the search; selecting search terms and understanding their linguistic usages; and establishing selection, filtering, and processing criteria for posts and keywords tailored to the desired results.

Background: Although women remain historically underrepresented in medical achievement awards, gender distribution of award recipients in ophthalmology in Canada remain to be explored based on research productivity metrics. Objective: To characterize the gender distribution of award recipients among the main Canadian national ophthalmological societies and subspecialty affiliates based on research productivity, graduate degrees, affiliated institution, and award type. Design: Retrospective, observational study. Methods: Award recipients were selected from the Canadian Ophthalmological Society (COS), Canadian Association of Paediatric Ophthalmology and Strabismus (CAPOS); Canadian Cornea, External Disease, and Refractive Surgery Society (CCEDRSS); Canadian Council of Ophthalmology Residents (CCOR) Research Proposal Award; and Canadian Glaucoma Society (CGS). The recipients' gender was determined by web search for the gender-specific pronoun, profile photograph check, or using Gender-API. Outcomes included gender distribution of recipients per award, society, year, and training level and differences in research productivity. Results: Thirteen special awards were given to 255 recipients (215 individuals) from 1995 to 2022. In total, 31% of recipients were women, the majority being from Canada. Women had a significantly lower median h-index (2.0 (0–62) women versus 4.0 (0–81) men, p = 0.001) and number of published documents (3.0 (0–213) women versus 8.0 (0–447) men, p < 0.001). On stratified analyses by type of award (research or lifetime achievement) and level of training (trainee or ophthalmologist), significant differences were found for mean h-index and number of publications for awardees within the research category (p = 0.01 and p = 0.02, respectively) and trainee level (p = 0.01 and p = 0.02, respectively). Overall, women's proportion rates in awards did not reach parity in 27 out of the 28 years analyzed. Conclusion: Women were confirmed to be historically minored in proportion among the prominent society awards in Canada, with attested research disparity possibly explaining some of this bias. These findings require further confirmation in larger cohorts accounting for additional educational, institutional, and provincial factors. Registration: Not applicable. [ABSTRACT FROM AUTHOR]

PURPOSE: To characterize the epidemiology, associated complications, and risk factors of orbital floor fractures in a nationwide longitudinal health insurance database. MATERIALS AND METHODS: Claims data from a million randomly selected registered residents from the Taiwan National Health Insurance Research Database were analyzed between 2001 and 2011 as part of a retrospective cohort review. Patients were identified using the International Classification of Disease-9 diagnosis codes for orbital floor fracture (closed: 802.6; open: 802.7). The cases were categorized as surgical or nonsurgical based on the procedure codes and compared statistically. RESULTS: From 2001 to 2011, 663 patients were diagnosed with orbital floor fractures out of a total population at risk of 9,836,431 person-years (average incidence: 6.78 persons/100,000/year) with overall increasing incidence. Surgical treatments were performed in 213 (32%) patients. Patients who received surgical treatment were younger than those who did not (mean age 25.3 ± 13.6 years vs. 34.2 ± 18.6 years, P < 0.001). The diagnosis with diplopia was a significantly associated factor for surgical treatment (2.2% in nonsurgery group vs. 6.6% in surgery group, P = 0.007). Male gender (adjusted hazard ratios [aHR] = 2.1, 95% confidence interval [CI]: 1.79-2.49) and low monthly income (aHR = 1.76, 95% CI: 1.16-2.67) were the risk factors for orbital floor fracture. CONCLUSION: The incidence of orbital floor fractures increased in the Taiwanese population between 2001 and 2011. Men and low income patients were at increased risk of orbital floor fracture. More research is necessary to clarify what factors are driving the escalating incidence of orbital fractures in this national population. [ABSTRACT FROM AUTHOR]