Physical therapists specializing in sports rehabilitation detection help injured athletes recover from their wounds and avoid further harm. Sports rehabilitators treat not just commonplace sports injuries but also work-related musculoskeletal injuries, discomfort, and disorders. Sensor-equipped Internet of Things (IoT) monitors the real-time location of medical equipment such as scooters, cardioverters, nebulizer treatments, oxygenation pumps, or other monitor gear. Analysis of medicine deployment across sites is possible in real time. Health care delivery based on digital technology to improve access, affordability, and sustainability of medical treatment is known as digital health care. The challenging characteristics of such sports injury rehabilitation for digital health care are playing position, game strategies, and cybersecurity. Hence, in this research, have been designed to improve sports injury rehabilitation detection for digital health care. The health care sector may benefit significantly from IoT adoption since it allows for enhanced patient safety; health care investment management includes controlling the hospital's pharmaceutical stock and monitoring the heat and humidity levels. Digital health describes a group of programmers made to aid health care delivery, whether by assisting with clinical decision-making or streamlining back-end operations in health care institutions. A effectively predicts the rise in sports injury rehabilitation detection with faster digital health care based on IoT. The research concludes that the effectively indicates sports injury rehabilitation detection for digital health care. The experimental analysis of outperforms the IoT method in terms of performance, accuracy, prediction ratio, and mean square error rate.
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http://dx.doi.org/10.1089/big.2023.0134 | DOI Listing |
Glob Ment Health (Camb)
January 2025
Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression.
View Article and Find Full Text PDFGlob Ment Health (Camb)
December 2024
Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Despite significant advancements in the development of psychotropic medications, increasing adherence rates remain a challenge in the treatment and management of psychiatric disorders. The purpose of this study is to qualitatively explore the challenges underlying medication adherence and strategies to improve it among adolescents with psychiatric disorders in Malaysia. This qualitative research design presents results from 17 semi-structured interviews with adolescent psychiatric patients, aged 11 to 19 years old, from public hospitals across Peninsular Malaysia.
View Article and Find Full Text PDFGlob Ment Health (Camb)
November 2024
Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Evidence on the effectiveness and implementation of mental health and psychosocial support (MHPSS) interventions for men in humanitarian settings is limited. Moreover, engagement and retention of men in such interventions has been challenging. Adaptations may therefore be required to improve the appropriateness and acceptability of these interventions for men.
View Article and Find Full Text PDFGlob Ment Health (Camb)
January 2025
Department of Psychiatry Mbarara University of Science and Technology, Mbarara, Uganda.
Background: Low- and middle-income countries (LMICs) bear a disproportionate burden of mental illness, with limited access to biomedical care. This study examined pathways to care for psychosis in rural Uganda, exploring factors influencing treatment choices.
Methods: We conducted a mixed-methods study in Buyende District, Uganda, involving 67 in-depth interviews and 4 focus group discussions (data collection continued until thematic saturation was reached) with individuals with psychotic disorders, family members, and local leaders.
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