ABSTRACT
La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Subject(s)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic DisorderABSTRACT
La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Subject(s)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic DisorderABSTRACT
Objetivo: mapear as tecnologias em saúde para manejo no cuidado à pessoa com hanseníase na Atenção Primária à Saúde. Método: revisão de escopo baseada na metodologia do JBI, em seis bases de dados, seguindo a checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Foram incluídos estudos publicados em qualquer idioma, com diferentes abordagens metodológicas. Resultados: os 14 estudos incluídos na revisão mostram que a aplicabilidade de tecnologias para o manejo do cuidado a pessoa com hanseníase na Atenção Primária à Saúde, possibilitam a confirmação de diagnóstico, acompanhamento, monitoramento e prevenção de incapacidades. Conclusão: nota-se que tecnologia em saúde se apresentam como ferramentas que auxiliam no processo de cuidado na assistência a pessoas com hanseníase, a fim de permitir aos profissionais de saúde conhecimento sobre a doença, proporcionando qualidade na sua prática de saúde.
Objective: to map health technologies for managing the care of people with leprosy in Primary Health Care. Method: scoping review based on the JBI methodology in six databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Studies published in any language were included, with different methodological approaches. Results: the 14 studies included in the review show that the applicability of technologies for the management of care for people with leprosy in Primary Health Care makes it possible to confirm diagnosis, follow-up, monitoring, and prevention of disabilities. Conclusion: it has been noted that health technologies are tools that help in the process of caring for people with leprosy, to provide health professionals with knowledge about the disease, improving quality of health practice.
Objetivo: mapear las tecnologías en salud para el manejo en el cuidado a la persona con lepra en la Atención Primaria a la Salud. Método: revisión del alcance basada en la metodología del JBI, en seis bases de datos, siguiendo la checklist Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Se han incluido estudios publicados en cualquier idioma, con diferentes enfoques metodológicos. Resultados: los 14 estudios incluidos en la revisión muestran que la aplicabilidad de tecnologías para el manejo del cuidado a la persona con lepra en la Atención Primaria a la Salud posibilita la confirmación de diagnóstico, seguimiento, monitoreo y prevención de incapacidades. Conclusión: se percibe que las tecnologías en salud se presentan como herramientas que ayudan en el proceso de cuidado en la asistencia a personas con lepra, con fines de permitir a los profesionales de salud el acceso al conocimiento sobre la enfermedad, proporcionando calidad en su práctica de salud.
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BACKGROUND: Social communication is a key factor in maintaining cognitive function and contributes to well-being in later life. OBJECTIVE: This study will examine the effects of "Photo-Integrated Conversation Moderated by Application version 2" (PICMOA-2), which is a web-based conversational intervention, on cognitive performance, frailty, and social and psychological indicators among community-dwelling older adults. METHODS: This study is a randomized controlled trial with an open-label, 2-parallel group trial and 1:1 allocation design. Community dwellers aged 65 years and older were enrolled in the trial and divided into the intervention and control groups. The intervention group receives the PICMOA-2 program, a web-based group conversation, once every 2 weeks for 6 months. The primary outcome is verbal fluency, including phonemic and semantic fluency. The secondary outcomes are other neuropsychiatric batteries, including the Mini-Mental State Examination, Logical Memory (immediate and delay), verbal paired associates, and comprehensive functional status evaluated by questionnaires, including frailty, social status, and well-being. The effect of the intervention will be examined using a mixed linear model. As a secondary aim, we will test whether the intervention effects vary with the covariates at baseline to examine the effective target attributes. RESULTS: Recruitment was completed in July 2023. A total of 66 participants were randomly allocated to intervention or control groups. As of January 1, 2024, the intervention is ongoing. Participants are expected to complete the intervention at the end of February 2024, and the postintervention evaluation will be conducted in March 2024. CONCLUSIONS: This protocol outlines the randomized controlled trial study design evaluating the effect of a 6-month intervention with PICMOA-2. This study will provide evidence on the effectiveness of social interventions on cognitive function and identify effective target images for remote social intervention. TRIAL REGISTRATION: UMIN Clinical Trials UMIN000050877; https://tinyurl.com/5eahsy66. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56608.
Subject(s)
Cognition , Humans , Aged , Cognition/physiology , Female , Male , Internet-Based Intervention , Japan , Functional Status , Aged, 80 and over , Independent Living , Communication , East Asian PeopleABSTRACT
BACKGROUND: The reporting of adverse events (AEs) relating to medical devices is a long-standing area of concern, with suboptimal reporting due to a range of factors including a failure to recognize the association of AEs with medical devices, lack of knowledge of how to report AEs, and a general culture of nonreporting. The introduction of artificial intelligence as a medical device (AIaMD) requires a robust safety monitoring environment that recognizes both generic risks of a medical device and some of the increasingly recognized risks of AIaMD (such as algorithmic bias). There is an urgent need to understand the limitations of current AE reporting systems and explore potential mechanisms for how AEs could be detected, attributed, and reported with a view to improving the early detection of safety signals. OBJECTIVE: The systematic review outlined in this protocol aims to yield insights into the frequency and severity of AEs while characterizing the events using existing regulatory guidance. METHODS: Publicly accessible AE databases will be searched to identify AE reports for AIaMD. Scoping searches have identified 3 regulatory territories for which public access to AE reports is provided: the United States, the United Kingdom, and Australia. AEs will be included for analysis if an artificial intelligence (AI) medical device is involved. Software as a medical device without AI is not within the scope of this review. Data extraction will be conducted using a data extraction tool designed for this review and will be done independently by AUK and a second reviewer. Descriptive analysis will be conducted to identify the types of AEs being reported, and their frequency, for different types of AIaMD. AEs will be analyzed and characterized according to existing regulatory guidance. RESULTS: Scoping searches are being conducted with screening to begin in April 2024. Data extraction and synthesis will commence in May 2024, with planned completion by August 2024. The review will highlight the types of AEs being reported for different types of AI medical devices and where the gaps are. It is anticipated that there will be particularly low rates of reporting for indirect harms associated with AIaMD. CONCLUSIONS: To our knowledge, this will be the first systematic review of 3 different regulatory sources reporting AEs associated with AIaMD. The review will focus on real-world evidence, which brings certain limitations, compounded by the opacity of regulatory databases generally. The review will outline the characteristics and frequency of AEs reported for AIaMD and help regulators and policy makers to continue developing robust safety monitoring processes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/48156.
Subject(s)
Artificial Intelligence , Systematic Reviews as Topic , Humans , Equipment and Supplies/adverse effects , Equipment and Supplies/standards , Databases, Factual , United States , United Kingdom , AustraliaABSTRACT
BACKGROUND: The significant impact of digital health emerged prominently during the COVID-19 pandemic. Despite this, there is a paucity of bibliometric analyses focusing on technologies within the field of digital health patents. Patents offer a wealth of insights into technologies, commercial prospects, and competitive landscapes, often undisclosed in other publications. Given the rapid evolution of the digital health industry, safeguarding algorithms, software, and advanced surgical devices through patent systems is imperative. The patent system simultaneously acts as a valuable repository of technological knowledge, accessible to researchers. This accessibility facilitates the enhancement of existing technologies and the advancement of medical equipment, ultimately contributing to public health improvement and meeting public demands. OBJECTIVE: The primary objective of this study is to gain a more profound understanding of technology hotspots and development trends within the field of digital health. METHODS: Using a bibliometric analysis methodology, we assessed the global technological output reflected in patents on digital health published between 2017 and 2021. Using Citespace5.1R8 and Excel 2016, we conducted bibliometric visualization and comparative analyses of key metrics, including national contributions, institutional affiliations, inventor profiles, and technology topics. RESULTS: A total of 15,763 digital health patents were identified as published between 2017 and 2021. The China National Intellectual Property Administration secured the top position with 7253 published patents, whereas Koninklijke Philips emerged as the leading institution with 329 patents. Notably, Assaf Govari emerged as the most prolific inventor. Technology hot spots encompassed categories such as "Medical Equipment and Information Systems," "Image Analysis," and "Electrical Diagnosis," classified by Derwent Manual Code. A patent related to the technique of receiving and transmitting data through microchips garnered the highest citation, attributed to the patentee Covidien LP. CONCLUSIONS: The trajectory of digital health patents has been growing since 2017, primarily propelled by China, the United States, and Japan. Applications in health interventions and enhancements in surgical devices represent the predominant scenarios for digital health technology. Algorithms emerged as the pivotal technologies protected by patents, whereas techniques related to data transfer, storage, and exchange in the digital health domain are anticipated to be focal points in forthcoming basic research.
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BACKGROUND: Diabetes Mellitus (DM) has emerged as a rapidly growing non-communicable disease (NCD) across developed & developing countries. People with diabetes mellitus experience health implications. They develop associated microvascular complications such as neuropathy, nephropathy & retinopathy and macro-vascular complications like coronary artery disease, stroke, amputations etc. These complications increase the socio-economic burden of people living with diabetes. Self-management of diabetes through education is a strong tool that remains under-utilized in clinical settings. The objective of the present study was to explore the role of extended reality for diabetes education & self-management. METHODOLOGY: The present study is a bibliometric analysis performed on the Scopus database with keywords: diabetes education, self-management, extended reality, virtual reality, augmented reality, mixed reality, and Boolean operators AND, OR. The search period ranged from inception till 4th July 2023 with restriction to English language articles. A total of 89 documents were identified in Scopus under multiple domains such as Engineering, Medicine, Health Professions, Nursing among others. The data was exported to the VOS Viewer software for network analysis. RESULTS: Out of the total 89 documents, 45-original research, 26-review, 12-conference paper, 3-book, 2-book chapters & 1-note. The highest publications were from the Medicine category. The year of publication of the included documents ranged from 1999 till 2022. The network analysis was performed to explore the association between the included studies (co-authorship, co-occurrence, citation analysis, bibliographic coupling). CONCLUSION: The network analysis found the USA to be the leading publisher and the National Institute of Health (NIH) to be the leading funding source. There is limited evidence and a strong future scope to strengthen research productivity on extended reality for diabetes education & self-management.
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Persimmons are widely acknowledged as a valuable source of both medicinal and nutritional components, providing a diverse spectrum of nutrients and phytochemicals. Despite these benefits, biases against persimmons persists due to their characteristic astringent flavor that sets them apart from other fruits. Although several studies have explored various aspects of persimmons, a comprehensive review that addresses post-harvest challenges, processing innovations, and potential applications is notably absent in the literature. This review aims to fill this gap by discussing a range of topics, including emerging preservation technologies, methods for detecting and eliminating astringency, identification of functional elements, health-promoting prospects, and advancements in processed persimmon products. The primary objective is to enhance the utilization of persimmons and promote the development of diverse, customized products, thereby fostering the emergence of functional and futuristic foods.
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Children with autism spectrum disorder (ASD) exhibit significant deficits in social communication and emotion regulation skills. While cognitive behavioral therapy (CBT) applications appear promising, trials to date have largely excluded social communication skill development and have not been designed to include a wider range of emotional challenges. To our knowledge, the present study is the first to pilot a uniquely modified CBT program targeting emotion regulation, including social communication training, and explicitly focusing on the child's areas of circumscribed interest in order to teach skills and promote generalization. Forty participants were randomly assigned to either the CBT group or a waitlist control (WLC) group, resulting in 20 school-aged children in each group. The treatment approach was determined to be feasible and acceptable, and therapy engagement and attendance were reasonably high. Caregivers expressed high satisfaction with the program, qualitatively citing gains in skills such as social problem-solving, emotion identification, and identifying and processing cognitive distortions. The primary outcome of postintervention changes was not significantly different between the groups (CBT vs. WLC). The mean Social Skills Improvement System score decreased by 0.44 points (95% confidence interval [CI]: -5.04, 4.15) in the CBT group and increased by 0.41 points (95% CI: -4.23, 5.04) in the WLC group, and the postintervention changes were not significantly different between the groups (difference: -0.85; 95% CI: -7.29, 5.60; p = .79). The estimated rate of emotional dysregulation episodes decreased by a factor of 0.94 (95% CI: 0.57, 1.56) in the CBT group and increased by a factor of 1.07 (95% CI: 0.51, 2.24) for WLC (p = .74). Among those who reported emotional dysregulation episodes, the mean duration decreased by 1.39 minutes (95% CI: -3.90, 6.67) less for CBT than waitlist (p = .60). Although satisfaction, acceptability, and emotional dysregulation outcome results from this preliminary CBT treatment for ASD are promising, sample size and measurement limitations will be important considerations to inform future trials.
Subject(s)
Autism Spectrum Disorder , Cognitive Behavioral Therapy , Humans , Autism Spectrum Disorder/therapy , Cognitive Behavioral Therapy/methods , Child , Male , Female , Social Skills , Emotional Regulation/physiology , Pilot ProjectsABSTRACT
Early-onset Parkinson's disease (EOPD) is defined as PD with an age of onset after 21 years of age but before 50 years. It displays many important differences to late-onset PD in terms of its pathology, phenotype, presentation and disease course, all of which have consequences for achieving a definitive diagnosis, the choice of therapy and approach to management. Studies show that this younger population is keen to embrace digital technologies as part of PD care, being familiar with using digital tools in their daily lives. Although most of the literature relating to the use of technology in PD applies to the broad population, this review focuses on evidence and potential benefits of the use of digital technologies to support clinical management in EOPD as well as its value in empowering patients to achieve self-management and in improving their quality of life. Digital technologies also have important and increasing roles in providing telehealth, including rehabilitation strategies for motor and non-motor PD symptoms. EOPD is known to be associated with a higher risk of motor fluctuations, so technologies such as wearable sensors have a valuable role for monitoring symptoms, providing timely feedback, and informing treatment decisions. In addition, digital technologies allow easy provision and equitable access to education and networking opportunities that will enable patients to have a better understanding of their condition.
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INTRODUCTION: Asthma is a common chronic respiratory disease affecting 262 million people globally, causing half a million deaths each year. Poor asthma outcomes are frequently due to non-adherence to medication, poor engagement with asthma services, and a lack of objective diagnostic tests. In recent years, technologies have been developed to improve diagnosis, monitoring, and care. AREAS COVERED: Technology has impacted asthma care with the potential to improve patient outcomes, reduce healthcare costs, and provide personalized management. We focus on current evidence on home diagnostics and monitoring, remote asthma reviews, and digital smart inhalers. PubMed, Ovid/Embase, Cochrane Library, Scopus and Google Scholar were searched in November 2023 with no limit by year of publication. EXPERT OPINION: Advanced diagnostic technologies have enabled early asthma detection and personalized treatment plans. Mobile applications and digital therapeutics empower patients to manage their condition and improve adherence to treatments. Telemedicine platforms and remote monitoring devices have the potential to streamline asthma care. AI algorithms can analyze patient data and predict exacerbations in proof-of-concept studies. Technology can potentially provide precision medicine to a wider patient group in the future, but further development is essential for implementation into routine care which in itself will be a major challenge.
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The Indonesian Ministry of Education and Culture launched a new e-procurement system for schools, known as SIPLah, in June 2019. This paper introduces a dataset comprising responses from middle school principals to a questionnaire focusing on the quality dimensions of the newly implemented e-procurement system and their acceptance of this technology. The dataset encompasses responses from 3110 middle schools, representing nearly all Indonesian provinces, and offers valuable indicators for assessing the system's quality dimensions and acceptance. These quality dimensions include processing, content, usability, training, and professionalism, while constructs for evaluating system acceptance comprise perceived ease of use, perceived usefulness, attitude, and intention to continue using. Data collection occurred from August 31 to September 30, 2023, utilizing an online questionnaire administered via Google Forms. Collaboration with the Indonesian Ministry of Education, Culture, Research, and Technology facilitated the distribution of the survey questionnaire to middle school principals across Indonesia through WhatsApp Messenger. This dataset holds significant potential for research exploring the impact of e-procurement system quality on schools' acceptance and for providing insights to policymakers and government officials regarding schools' perceptions of the system's quality and acceptance. As supplementary material, the dataset is made available to facilitate its reuse and further analysis by the research community.
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Brucellosis is among the key zoonotic infectious diseases in China, and The Ningxia Hui Autonomous Region represents a major endemic area, and it is one of the main causes of poverty in the region due to illness. In Ningxia, there is substantial research on Brucella melitensis, studies on the molecular epidemiology of Brucella abortus are notably scarce. Consequently, this study aims to undertake pathogenic isolation and molecular epidemiological research on Brucella abortus isolated from the environment in Ningxia, providing insights and evidence to advance the prevention and control measures for brucellosis in the region. Building on traditional pathogenic detection methods, this research employs whole-genome sequencing(WGS) techniques and bioinformatics software to conduct a phylogenetic comparison of Ningxia strains and strains of Brucella abortus from various geographical origins. The results indicate that four Brucella abortus strains are classified as biovar 3 and MLST type ST2. It is shown that the local strains were closer phylogenetic relationships with strains from Asian and European countries. The presence of Brucella abortus in certain environmental sectors of Ningxia indicates a risk of transmission from the environment to animals and subsequently to humans. In conclusion, the Brucella abortus exists in some farming environments in Ningxia, and exists for a long time. Therefore, it is necessary to strengthen the monitoring of the disinfection effect of the farming environment to provide a basis for the forward movement of the gate of brucellosis prevention and control.
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BACKGROUND: Implementation issues often hinder reaching the potential of care technology to improve daily lives of people with intellectual disabilities. We investigated barriers to and facilitators of implementing different technology modalities (app/social robot/sensor/domotics) in long-term care. METHOD: Care professionals (N = 83) from 12 Dutch disability care organisations completed a customised measurement instrument for determinants of innovations (MIDI) questionnaire. RESULTS: Out of 27 determinants, 20 were identified as facilitators and 16 as barriers. We highlight common barriers: few colleagues who work with the technology; no (awareness of) formal ratification of technology use; no arrangements regarding turnover of staff using the technology; unsettling organisational changes; technological defects and limited IT preconditions. CONCLUSIONS: The results, which could be combined and compared across study sites, provide insight into which implementation determinants were already well addressed, and where there is ground to gain when implementing care technology in disability care organisations.
Subject(s)
Intellectual Disability , Humans , Intellectual Disability/rehabilitation , Cross-Sectional Studies , Adult , Male , Female , Middle Aged , Attitude of Health Personnel , Health Personnel , Netherlands , Long-Term CareABSTRACT
The dataset described Vietnamese university lecturers' teaching and was constructed using elements of the TPACK model. According to the model of Mishra and Koehler [1], the questionnaire was developed. It was delivered through online platforms. The data collection period was three weeks, from February 6 to February 24, 2024. The survey was conducted using the snowball sampling method, with 503 participants. The article analyzed the remaining 461 records after excluding 41 invalid ones. The dataset was referenced in the Mendeley Data repository [10]. University lecturers could use the data set to enhance their personal professional development. In addition, the dataset could assist higher education institutions in formulating plans and training programs, instruct teaching staff, and assist educational managers and policymakers in formulating policies that encourage technology integration in teaching, thereby enhancing the quality of education.
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BACKGROUND: In this study, we re-examined data from a previous randomized controlled trial investigating 'technology supported mindfulness' (TSM)-an 8-week treatment intervention for individuals experiencing OCD. The current analysis involves an examination of the longitudinal relationships between rumination, worry and OCD symptom changes during mindfulness treatment, in comparison to a waitlist control. METHODS: Participants experiencing OCD (n = 71) were randomly assigned to 8 weeks of (1) TSM or (2) waitlist control. We tested the extent to which rumination (using the Ruminative Response Scale) and worry (using the Penn State Worry Questionnaire) are associated with OCD symptom changes during the acute phase of treatment, concurrently (i.e., within the same longitudinal model). RESULTS: Generalized linear model (GLM) results indicated a significant time (week 1 vs. week 8) by condition interaction involving decreased rumination in the TSM condition: F(1, 61) = 13.37, p = 0.001, partial η2 = 0.18 and observed power = 0.94. A second GLM demonstrated decreased worry in the TSM condition: F(1, 69) = 37.34, p = 0.001, partial η2 = 0.35 and observed power = 0.83. Longitudinal 'latent difference' structural equation analyses demonstrated a cross-lagged association between worry (but not rumination) and OCD symptom changes. CONCLUSIONS: Individuals in the TSM condition experienced greater reductions in rumination and worry during 8 weeks of TSM treatment compared to the waitlist control, and reduced worry predicted subsequent OCD symptom reduction.
Subject(s)
Mindfulness , Obsessive-Compulsive Disorder , Rumination, Cognitive , Humans , Female , Male , Mindfulness/methods , Obsessive-Compulsive Disorder/therapy , Obsessive-Compulsive Disorder/psychology , Adult , Treatment Outcome , Anxiety/psychology , Anxiety/therapy , Middle Aged , Surveys and QuestionnairesABSTRACT
This communication defines and describes the novel concept of endocrine entropy. The authors share insights regarding the various facets of entropy in endocrine epidemiology, physiology, clinical presentation and management. The discussion opens up a new way of approaching endocrinology. Recent advances in artificial intelligence, assessment and addressal of entropy may become integral part of endocrine diagnostics and therapeutics.
Subject(s)
Endocrine System Diseases , Entropy , Humans , Endocrine System Diseases/therapy , Endocrine System Diseases/diagnosis , Endocrinology , Artificial IntelligenceABSTRACT
This communication defines and describes the novel concept of endocrine entropy. The authors share insights regarding the various facets of entropy in endocrine epidemiology, physiology, clinical presentation and management. The discussion opens up a new way of approaching endocrinology. Recent advances in artificial intelligence, assessment and addressal of entropy may become integral part of endocrine diagnostics and therapeutics.
Subject(s)
Endocrine System Diseases , Entropy , Humans , Endocrine System Diseases/therapy , Endocrine System Diseases/diagnosis , Endocrinology , Artificial IntelligenceABSTRACT
PURPOSE: Wheelchair users experience many barriers to physical activity as affordable and accessible exercise equipment options are limited. Thus, the home-based adapted rower (aROW) and gym-based aROW were developed. The objectives were to determine: 1) wheelchair users' preferences, perspectives, facilitators, and barriers to using the home-based versus the gym-based aROW, 2) perceived usability of the home and gym aROWs, and 3) recommendations to adapt the aROW further for home and community use. MATERIALS AND METHODS: In this two-phase exploratory mixed-methods study, participants completed one month of using a home aROW, followed by one month of using a community gym aROW. After each phase, participants completed a semi-structured interview and the System Usability Scale (SUS) questionnaire. Interview data were analyzed using conventional content analysis and effect size comparing SUS data was calculated. RESULTS AND CONCLUSIONS: Four categories were identified: what worked well, barriers to using the aROWs, what could be improved and important considerations. There was a large effect size in perceived usability between the aROWs with participants preferring the home aROW. Overall, rowing was enjoyable, and participants achieved positive physical outcomes. As preferences are individual, the home aROW provides wheelchair users with a potential choice between home or gym exercise.
Rowing is an enjoyable and effective form of aerobic exercise for wheelchair usersWheelchair users experience social, environment and financial barriers to engaging in exerciseThe home aROW provides a low-cost and accessible option for wheelchair-adapted aerobic exercise.
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BACKGROUND: Disability influences activities of daily living, leading to unsafe conditions, poor quality of life, and dependence on others and assistive technologies. Despite limited access and unmet needs, assistive technology enables users to participate in education and be independent members of their community. Students with disabilities in higher education face many challenges in their day-to-day activities and evidence is limited in the study area. Therefore, this study aimed to explore assistive technology experience and daily living challenges among students with disabilities in higher education. METHOD: A descriptive qualitative study design was employed at the University of Gondar, Gondar, Ethiopia, between December 20, 2022, and January 20, 2023. A purposive sampling method was employed to recruit 14 students with disabilities. An in-depth interview was employed using semi-structured questionnaires. Open Code version 4 software for coding and reflexive thematic analysis approach was employed for the analysis. RESULT: A total of 14 students with disabilities were included in an in-depth interview. Four main themes emerged, which included activities of daily living, attitudes toward people with disabilities, barriers to accessibility, and access to assistive technology. CONCLUSION: Barriers to activities of daily living among students with disabilities were poor accessibility of infrastructural facilities, lack of teaching/learning materials in an accessible format, and negative attitudes. The present study's finding is needed to support students in higher education for their academic achievement and to design appropriate rehabilitation strategies and policies on the accessibility of physical infrastructures, inclusive education, and the provision of assistive technology.
