Objective: Investigate the prevalence, comorbidities, and correlates of challenging behaviors among clients of the New South Wales Brain Injury Rehabilitation Program.
Setting: All community-based rehabilitation services of the statewide program.
Participants: Five hundred seven active clients with severe traumatic brain injury.
Design: Prospective multicenter study.
Main Measures: Eighty-eight clinicians from the 11 services rated clients on the Overt Behaviour Scale, Disability Rating Scale, Sydney Psychosocial Reintegration Scale-2, Care and Needs Scale, and Health of the Nation Outcome Scale-Acquired Brain Injury.
Results: Overall prevalence rate of challenging behaviors was 54%. Inappropriate social behavior (33.3%), aggression (31.9%), and adynamia (23.1%) were the 3 most common individual behaviors, with 35.5% of the sample displaying more than 1 challenging behavior. Significant associations were found between increasing levels of challenging behavior and longer duration of posttraumatic amnesia, increasing functional disability, greater restrictions in participation, increased support needs, and greater degrees of psychiatric disturbance, respectively (P < 0.004). Multivariate binomial logistic regression found that premorbid alcohol abuse, postinjury restrictions in participation, and higher levels of postinjury psychiatric disturbance were independent predictors of challenging behavior.
Conclusions: Challenging behaviors are widespread among community-dwelling adults with severe traumatic brain injury. Services need to deliver integrated anger management, social skills, and motivational treatments.
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Vaccines (Basel)
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School of Healthcare, University of Leicester, Leicester LE1 7RH, UK.
Vaccinating care home staff is essential to protect vulnerable residents by reducing infection risks and creating a safer care environment. However, vaccine hesitancy amongst staff remains a challenge, particularly since the COVID-19 pandemic raised concerns about side effects and vaccination mandates. This study examines how the pandemic influenced flu vaccine hesitancy amongst UK care home staff.
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Human papillomavirus (HPV) remains the most prevalent sexually transmitted infection in the United States (U.S.).
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Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Global COVID-19 vaccination effort faces the challenges of vaccine hesitancy and resistance, rooted in misinformation and institutional distrust. Addressing these barriers with customized messaging is essential, yet the relationship between vaccine hesitancy and other health-seeking behaviors, like COVID-19 testing, has been underexplored. This study assessed COVID-19 vaccine uptake in Southeastern Louisiana across 10 pharmacies and clinics in areas with historically high rates of COVID-19 infection.
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Antal Bejczy Center for Intelligent Robotics, Obuda University, 1034 Budapest, Hungary.
This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. The key concept lies in determining the rotational transformations between the robot's base frame and the sensor's reference, as well as between the TCP (Tool Center Point) frame and the sensor frame, without requiring precise alignment. Key advantages of the proposed method include its independence from the exact measurement of rotations between the reference instrumentation and the sensor, systematic testing capabilities, and the ability to produce repeatable excitation patterns under controlled conditions.
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Division of Computer Science & Artificial Intelligence, Dongguk University, Seoul 04620, Republic of Korea.
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high computational and memory costs. In particular, it is often composed of real-time collected data that tends to be noisy, making preprocessing an essential step.
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