Coordinates: 35°19′16″S 149°05′40″E / 35.321215°S 149.094506°E / -35.321215; 149.094506The Australian College of Nursing is a professional organisation and education provider. It was formed in 2012 by the amalgamation of the Royal College of Nursing, Australia, and The College of Nursing (previously New South Wales College of Nursing).
For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In the United States, artificial intelligence (AI)-enabled digital health tools are increasingly available and may help address gaps in care coordination; however, most are not designed to specifically support nursing. This perspective piece discusses a human-centered AI framework that integrates empathic and agentic approaches grounded in the American Nurses Association's code of ethics to support nurses in the United States in cancer care navigation. The framework could augment, not replace, human empathy and agency while improving nurse workflow, patient-clinician relationships, and care coordination services in under-resourced areas.
Objectives This study aimed to assess the effectiveness of a video-assisted educational program on knowledge, attitude, and stigma toward modified electroconvulsive therapy (ECT) among the primary caregivers of patients with psychotic disorders. Methods This experimental study was conducted at the Department of Psychiatry of a tertiary care hospital in India among 94 adult primary caregivers of patients with psychotic disorder. Participants in the experimental group (n = 47) received a 15-minute video-assisted educational program on ECT in addition to the standard care, and those in the control group (n = 47) received only the standard care. The online platform was used to collect data on caregivers' sociodemographic details, knowledge, attitudes, and stigma toward ECT. The data from either group were collected at baseline and 2 weeks after intervention. Results Both groups were comparable with regard to key sociodemographic variables and baseline level of knowledge, attitude, and stigma toward ECT. In the postintervention, there was a significant difference in the median (interquartile range) score of knowledge, attitude, and stigma toward ECT in the experimental group compared with the control group. There was a significant correlation between the pretest level of knowledge and attitude ( r = 0.387). The relationship with the patient was found to be associated with the knowledge level of the subjects ( P < 0.001), and caregivers’ monthly income was associated ( P < 0.05) with stigma toward ECT. Conclusion The study provides evidence that the video-assisted educational program was effective in increasing knowledge, creating a more positive attitude, and reducing stigma toward ECT.
Digital wellness and digital technology related addictions have emerged as critical public health research priorities in India, especially given the growing impact of behavioral addiction on youth mental health. The Centre for Advanced Research on Addictive Behaviours (CAR-AB) aims to promote safe digital technology use and enhance digital well-being among Indian youth. CAR-AB was conceptualized at All India Institute of Medical Sciences (AIIMS), New Delhi, in collaboration with leaders from health, public health, technology and education sectors and with the funding support from the Indian Council of Medical Research (ICMR). CAR-AB aims to establish a scientific, systematic, and sustainable framework for addressing addictive behaviors and promoting digital and overall well-being among Indian youth. CAR-AB is intended to develop and evaluate AI-based predictive models; validated intervention packages; training and capacity-building toolkit; national resource center on addictive behaviors; and policy and programmatic recommendations. CAR-AB envisions “Digital Wellness for All” by promoting safe and healthy use of digital technology.
Few studies on patients with multiple sclerosis have examined the relationship between self-esteem, social support, hope, and the roles of these variables on illness identity. This study was purposed to examine illness identity and its correlation with self-esteem, hope, and social support among Jordanian patients with multiple sclerosis. A descriptive correlational design was adopted on a convenience sample of 330 participants from outpatient clinics in one of the largest governmental hospitals in Amman, Jordan. A self-reported structured questionnaire included Rosenberg’s Self-Esteem Scale (RSES), the Herth Hope Index, the Multidimensional Scale of Perceived Social Support (MSPSS), and the Illness Identity Questionnaire, in addition to demographic data was used to collect data from April to June 2024. Descriptive statistics (i.e., frequency, percentages, mean0, and standard deviation), and inferential analysis (i.e., Pearson’s correlation and point biserial, and multiple linear regression) were used to analyze data. The findings revealed that 59.4
To study the relationship between soccer heading and the risk of mild traumatic brain injury (mTBI), we previously developed an instrumented headband and data-processing scheme to measure the angular head kinematics of soccer headers. Laboratory evaluation of the headband on an anthropomorphic test device showed good agreement with a reference sensor for soccer ball impacts to the front of the head. In this study, we evaluate the headband in measuring the full head kinematics of soccer headers in the field. The headband was evaluated under typical soccer heading scenarios (throw-ins, goal-kicks, and corner-kicks) on a human subject. The measured time history and peak kinematics from the headband were compared with those from an instrumented mouthpiece, which is a widely accepted method for measuring head kinematics in the field. The time-history agreement (CORA scores) between the headband and the mouthpiece ranged from ‘fair’ to ‘excellent’, with the highest agreement for angular velocities (0.79 ± 0.08) and translational accelerations (0.73 ± 0.05) and lowest for angular accelerations (0.67 ± 0.06). A Bland–Altman analysis of the peak kinematics from the headband and mouthpiece found the mean bias to be 40.9 % (of the maximum mouthpiece reading) for the angular velocity, 16.6 % for the translational acceleration, and −14.1 % for the angular acceleration. The field evaluation of the instrumented headband showed reasonable agreement with the mouthpiece for some kinematic measures and impact conditions. Future work should focus on improving the headband performance across all kinematic measures.