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Introduction: Hoverboards are a popular means of recreation in the United States and are associated with significant injury risk, leading to recent efforts to improve their safety. Prior studies on hoverboard-related injuries were either conducted prior to implementation of safety regulations, consisted of short study intervals, or did not place a focus on injuries as they pertain to the orthopedic specialist. The purpose of this study is to provide an updated assessment of the epidemiology of orthopedic hoverboard-related injuries presenting to US emergency departments., Materials and Methods: A retrospective analysis from 2015 to 2022 of the National Electronic Injury Surveillance System (NEISS) database was conducted, limited to product codes detailing hoverboard-related injuries leading to emergency department visits. Diagnoses of interest included fractures, dislocations, contusions/abrasions, and strains/sprains. Diagnoses were further broken down to analyze anatomic region affected. National estimates (NE) were calculated using survey methods. One-way ANOVA and chi square tests were used to test for changes over time in injuries, age, and gender., Results: 4,718 total hoverboard-related injuries were captured, with a national estimate of 154,121. The majority of patients were under 18 years old (79.6 %; P < 0.001) and female (52.5 %; P = 0.038). Orthopedic injuries accounted for 68.6 % of the total, with no significant year-by-year change in this proportion (P = 0.069). Fractures were the most common orthopedic injury (64.2 %), followed by contusions/abrasions (20.2 %), strains/sprains (14.6 %), and dislocations (1.0 %). Most fractures affected the forearm (33.8 %) followed by the wrist (29.2 %). Injuries peaked in 2018 (NE = 25,192) and 2020 (NE = 24,958), followed by a decline in incidence more recently., Conclusion: Hoverboard-related injuries continue to be a common presentation to US emergency departments, though injury rates appear to be decreasing. Orthopedic injuries consistently account for the majority of hoverboard-related injuries reporting to emergency departments, with fractures of the forearm and wrist being most common. Continued efforts toward improving safety measures regarding hoverboard use are warranted., Competing Interests: Declaration of competing interest Each author certifies that there are no funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article related to the author or any immediate family members., (Copyright © 2024. Published by Elsevier Ltd.)

Background: Frailty, a syndrome of physiologic vulnerability, increases cardiovascular disease (CVD) risk. Whether in person or automated frailty tools are ideal for identifying CVD risk remains unclear. We calculated 3 distinct frailty scores and examined their associations with mortality and CVD events in the Million Veteran Program, a prospective cohort of nearly 1 million US veterans., Methods and Results: Veterans aged ≥50 years and enrolled from 2011 to 2018 were included. Two frailty indices (FI) based on the deficit accumulation theory were calculated: the questionnaire-based 36-item Million Veteran Program-FI and 31-item Veterans Affairs-FI using claims data. We calculated Fried physical frailty using the self-reported, 3-item Study of Osteoporotic Fractures. Multivariable-adjusted Cox models examined the association of frailty by each score with primary (all-cause and CVD mortality) and secondary (myocardial infarction, stroke, and heart failure) outcomes. In 190 688 veterans (69±9 years, 94% male, 85% White), 33, 233 (17%) all-cause and 10 115 (5%) CVD deaths occurred. Using Million Veteran Program-FI, 29% were robust, 42% pre-frail, and 29% frail. Frailty prevalence increased by age group (27% in 50-59 to 42% in ≥90 years). Using the Million Veteran Program-FI, over 6±2 years, frail veterans had a higher hazard of all-cause (hazard ratio [HR], 3.05 [95% CI, 2.95-3.16]) and CVD mortality (HR, 3.65 [95% CI, 3.43-3.90]). Findings were concordant for the Veterans Affairs-FI and Study of Osteoporotic Fractures frailty definitions, and remained significant even among younger veterans aged 50-59 years., Conclusions: Irrespective of frailty measure, frailty is associated with a higher risk of all-cause mortality and adverse CVD events. Further study of frailty in veterans aged <60 years old is warranted.

Objectives: To explore the landscape of mentorship within professional associations in pharmacy academia, including reviewing available literature and describing currently available programs within the American Association of Colleges of Pharmacy, and recommend key considerations for the development of mentorship programs within professional associations., Findings: A literature review of mentorship programs within professional associations for pharmacy academics was conducted, with a total of 5 articles identified and summarized. Additionally, a survey was conducted to determine the landscape of available mentorship programs within American Association of Colleges of Pharmacy affinity groups to capture unpublished experiences. Information regarding common characteristics and assessment methods was collected for groups that have mentorship programs, while needs and barriers were collected for those who did not., Summary: Literature, while limited, supports positive perceptions of mentorship programs within professional associations. Based on the responses and working group experience, several recommendations are proposed for mentorship program development, including the need for clearly defined goals, relevant program outcomes, association support to reduce redundancies and promote participation, and, in some cases, implementation of an association-wide program to ensure access to mentorship., (Copyright © 2023 American Association of Colleges of Pharmacy. Published by Elsevier Inc. All rights reserved.)

Background: Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends., Objective: The key aims were to describe the development and application of the drug abuse ontology (DAO) as a framework for analyzing web-based and social media data to inform public health and substance use research in the following areas: determining user knowledge, attitudes, and behaviors related to nonmedical use of buprenorphine and illicitly manufactured opioids through the analysis of web forum data Prescription Drug Abuse Online Surveillance; analyzing patterns and trends of cannabis product use in the context of evolving cannabis legalization policies in the United States through analysis of Twitter and web forum data (eDrugTrends); assessing trends in the availability of novel synthetic opioids through the analysis of cryptomarket data (eDarkTrends); and analyzing COVID-19 pandemic trends in social media data related to 13 states in the United States as per Mental Health America reports., Methods: The domain and scope of the DAO were defined using competency questions from popular ontology methodology (101 ontology development). The 101 method includes determining the domain and scope of ontology, reusing existing knowledge, enumerating important terms in ontology, defining the classes, their properties and creating instances of the classes. The quality of the ontology was evaluated using a set of tools and best practices recognized by the semantic web community and the artificial intelligence community that engage in natural language processing., Results: The current version of the DAO comprises 315 classes, 31 relationships, and 814 instances among the classes. The ontology is flexible and can easily accommodate new concepts. The integration of the ontology with machine learning algorithms dramatically decreased the false alarm rate by adding external knowledge to the machine learning process. The ontology is recurrently updated to capture evolving concepts in different contexts and applied to analyze data related to social media and dark web marketplaces., Conclusions: The DAO provides a powerful framework and a useful resource that can be expanded and adapted to a wide range of substance use and mental health domains to help advance big data analytics of web-based data for substance use epidemiology research., (©Usha Lokala, Francois Lamy, Raminta Daniulaityte, Manas Gaur, Amelie Gyrard, Krishnaprasad Thirunarayan, Ugur Kursuncu, Amit Sheth. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 23.12.2022.)

Management of chronic wounds, specifically those of the lower extremity, varies considerably by geographic region. The consequences of low-quality care perpetuate poor outcomes and low value for patients and the health care system. The emergence of value-based health care has forced stakeholders to evaluate care from quality and cost perspectives. This review presents a replicable quality assessment model for limb salvage specialists to apply to their practices. This model will foster increased collaboration between caregivers across all disciplines in an effort to increase quality care assurances for patients with chronic wounds of the lower extremity. Current approaches to quality assessment in the management of such wounds are outlined, and areas for innovation, such as collaborative initiatives, are highlighted. Use of the Donabedian model to provide quality and value to patients undergoing treatment for chronic wounds at a tertiary limb salvage center is also described. A value-based care system can be comprehensively assessed using the Donabedian framework. A pay-for-performance approach has largely guided health care reform in the United States; however, the effects of this approach have been incongruent with its intent. Limb salvage centers work to rectify this imbalance and continually evaluate quality measures to improve care. Collaborative quality initiatives have resulted in improved outcomes and cost savings in multiple specialties, and multidisciplinary limb salvage centers may benefit from such infrastructure. Limb salvage specialists have an important role in determining whether health care quality improvements are internally or externally driven. Existing quality assessment tools are imperfect, and the consequences of low-quality care of chronic wounds can be devastating. Through collaboration across institutions and the use of validated quality assessment tools such as the Donabedian model, chronic wound specialists can be leaders in developing and implementing quality care measures.

Objective: We sought to explore the technical and legal readiness of healthcare institutions for novel data-sharing methods that allow clinical information to be extracted from electronic health records (EHRs) and submitted securely to the Food and Drug Administration's (FDA's) blockchain through a secure data broker (SDB)., Materials and Methods: This assessment was divided into four sections: an institutional EHR readiness assessment, legal consultation, institutional review board application submission, and a test of healthcare data transmission over a blockchain infrastructure., Results: All participating institutions reported the ability to electronically extract data from EHRs for research. Formal legal agreements were deemed unnecessary to the project but would be needed in future tests of real patient data exchange. Data transmission to the FDA blockchain met the success criteria of data connection from within the four institutions' firewalls, externally to the FDA blockchain via a SDB., Discussion: The readiness survey indicated advanced analytic capability in hospital institutions and highlighted inconsistency in Fast Healthcare Interoperability Resources format utilitzation across institutions, despite requirements of the 21st Century Cures Act. Further testing across more institutions and annual exercises leveraging the application of data exchange over a blockchain infrastructure are recommended actions for determining the feasibility of this approach during a public health emergency and broaden the understanding of technical requirements for multisite data extraction., Conclusion: The FDA's RAPID (Real-Time Application for Portable Interactive Devices) program, in collaboration with Discovery, the Critical Care Research Network's PREP (Program for Resilience and Emergency Preparedness), identified the technical and legal challenges and requirements for rapid data exchange to a government entity using the FDA blockchain infrastructure., (© Copyright AAMI 2021. Copying, networking, and distribution prohibited.)

Objective: US Latinos historically have underutilized end-of-life (EOL) resources. This study reports the views of family caregivers before and after education intervention Caregivers Like Me geared to improve knowledge and attitudes regarding EOL resources among Latino caregivers., Methods: This is a qualitative substudy within a multicentered cross-sectional study design. Educational intervention was offered to family caregivers of Latino elders from 3 different communities, using an audiovisual presentation, including a case-based video telenovela and pre-posttest questionnaires with open-ended questions. This study pertains to the qualitative results for the open-ended questions before and after education intervention., Results: Participants (N = 145) were mostly females (79%) with a mean age of 56 ± 15 years and reported (92%) active learning from intervention. The pretest open-ended question on expected learning identified 2 themes, care for the sick and self-care. It included 5 subthemes and the most common one was how to help the sick. The posttest question on actual learning identified the same 2 themes and 4 subthemes that were similar but different from the pretest. Accepting help and knowledge of services available were the most common., Conclusion: The education intervention Caregivers Like Me was able to improve attitudes toward EOL care because participants who wanted to help their loved ones realized that they need to accept professional help and were made aware of the services available.

Purpose: Increasing in incidence, testicular cancer is the most commonly diagnosed cancer in young men in the USA and in Europe. We sought to determine contemporary trends in testicular cancer incidence in the USA and Europe., Methods: Testicular cancer incidence data covering the USA and Europe were extracted from the SEER-13 (SEER*Stat 8.0.1) and the EUREG databases, respectively. Trends were determined using JoinPoint 3.5.3., Results: Testicular germ cell tumor (TGCT) incidence among US males >15 years increased from 1992 (5.7/100,000) to 2009 (6.8/100,000) with a significant annual percentage change (APC: 1.1%, p < 0.001). Seminomas were 29% of all TGCTs in 15-26 year-olds, increasing to 78% in those 40+ years of age. TGCT rates were highest in White men (1992: 7.5/100,000; 2009: 8.6/100,000) followed by Hispanic men (1992: 4.0/100,000; 2009: 6.3/100,000) and lowest among Asian (1992: 2.0/100,000; 2009: 2.8/100,000) and Black men (1992: 0.7/100,000; 2009: 1.7/100,000). Significantly increasing incidence rates were observed in White men (APC: 1.2%, p < 0.001) and most prominently in Hispanic men, especially from 2002 to 2009 (APC: 5.6%, p < 0.01). Incidence of testicular cancer increased in 15 of 19 (79%) European countries analyzed (p < 0.05). Denmark (13.4/100,000 man-years), Switzerland (12.7/100,000 man-years), and Norway (12.7/100,000 man-years) exhibited the highest age-standardized rates, while Spain had the greatest APC (APC = 5.5, 95% CI 3.9-7.0%, p < 0.001)., Conclusions: Between 1992 and 2009, testicular cancer incidence in the USA and Europe continued to increase, most notably in US Hispanic, Northern European, Spanish, and younger and older populations.

Background: Diet is a key component of a healthy lifestyle in the prevention of type 2 diabetes mellitus (T2DM). The role of long-chain omega-3 (n-3) fatty acids (LCFAs) in the development of T2DM remains unresolved., Objective: We examined the association between dietary LCFAs and incidence of T2DM in 3 prospective cohorts of women and men., Design: We followed 195,204 US adults (152,700 women and 42,504 men) without preexisting chronic disease at baseline for 14 to 18 y. Fish and LCFA intakes were assessed at baseline and updated at 4-y intervals by using a validated food-frequency questionnaire., Results: During nearly 3 million person-years of follow-up, 9380 new cases of T2DM were documented. After adjustment for other dietary and lifestyle risk factors, LCFA intake was positively related to incidence of T2DM. The pooled multivariate relative risks in 3 cohorts across increasing quintiles of LCFAs were as follows: 1 (reference), 1.00 (95% CI: 0.91, 1.09), 1.05 (95% CI: 0.97, 1.13), 1.17 (95% CI: 1.07, 1.28), and 1.24 (95% CI: 1.09, 1.40) (P for trend < 0.001). Compared with those who consumed fish less than once per month, the relative risk of T2DM was 1.22 (95% CI: 1.08, 1.39) for women who consumed > or =5 servings fish/wk (P for trend <0.001)., Conclusions: We found no evidence that higher consumption of LCFAs and fish reduces the risk of T2DM. Instead, higher intakes may modestly increase the incidence of this disease. Given the beneficial effects of LCFA intake on many cardiovascular disease risk factors, the clinical relevance of this relation and its possible mechanisms require further investigation.

Motivated by the difficulty of biometric systems to correctly match fingerprints with poor image quality, we formulate and solve a game-theoretic formulation of the identification problem in two settings: U.S. visa applicants are checked against a list of visa holders to detect visa fraud, and visitors entering the U.S. are checked against a watchlist of criminals and suspected terrorists. For three types of biometric strategies, we solve the game in which the U.S. Government chooses the strategy's optimal parameter values to maximize the detection probability subject to a constraint on the mean biometric processing time per legal visitor, and then the terrorist chooses the image quality to minimize the detection probability. At current inspector staffing levels at ports of entry, our model predicts that a quality-dependent two-finger strategy achieves a detection probability of 0.733, compared to 0.526 under the quality-independent two-finger strategy that is currently implemented at the U.S. border. Increasing the staffing level of inspectors offers only minor increases in the detection probability for these two strategies. Using more than two fingers to match visitors with poor image quality allows a detection probability of 0.949 under current staffing levels, but may require major changes to the current U.S. biometric program. The detection probabilities during visa application are approximately 11-22% smaller than at ports of entry for all three strategies, but the same qualitative conclusions hold.