搜索结果：OTJR : occupation, participation and health

Global rates of mental health concerns are rising, and there is increasing realization that existing models of mental health care will not adequately expand to meet the demand. With the emergence of large language models (LLMs) has come great optimism regarding their promise to create novel, large-scale solutions to support mental health. Despite their nascence, LLMs have already been applied to mental health related tasks. In this paper, we summarize the extant literature on efforts to use LLMs to provide mental health education, assessment, and intervention and highlight key opportunities for positive impact in each area. We then highlight risks associated with LLMs' application to mental health and encourage the adoption of strategies to mitigate these risks. The urgent need for mental health support must be balanced with responsible development, testing, and deployment of mental health LLMs. It is especially critical to ensure that mental health LLMs are fine-tuned for mental health, enhance mental health equity, and adhere to ethical standards and that people, including those with lived experience with mental health concerns, are involved in all stages from development through

Abstract Introduction The physical, social and occupational restrictions imposed by the COVID-19 pandemic have affected the health and well-being of the world population. Objective To identify the repercussions of the pandemic on the occupational participation of students, lecturers and technicians from three public universities in Northern Brazil, to compare the changes reported by participants in occupational participation before and during the pandemic, and to identify symptoms of depression, anxiety and stress self-reported. Method This is a Cross-sectional, descriptive and comparative study with a quantitative approach. One hundred and ninety-nine (n = 199) participants (students, lecturers and technicians) responded to an online questionnaire, the “Occupational Participation Checklist” and the Anxiety, Stress and Depression Scale (DASS-21). Data analysis were descriptive and also performed by applying the Wilcoxon and Mann-Whitney tests. Results During the pandemic, an increase in occupational participation was identified for all participants in domestic activities (p <0.001) and a decrease in work and study face to face (p <0.001). Students reported more symptoms of depression, anxiety and stress when compared to lecturers (p<0.001). Most students did not organise their time to fulfil their occupations with satisfaction. Such difficulties were associated with symptoms of depression, anxiety and stress, especially among the student's group (p<0.001). Conclusion This study provided preliminary evidence about differences in occupational participation before and during the Covid-19 pandemic. The organization of time and difficulties in occupational participation were associated to levels of anxiety, depression and stress, especially in the sample of students.

Participation in meaningful occupations is central to health, well-being, and adjustment during the transition from military service. The aim of the present study was to identify what occupations transitioning Australian Defence Force members participate in for the purpose of improving their health and well-being. A secondary aim was to identify if participation in various occupations was associated with better self-reported health and/or adjustment outcomes. One hundred and ninety-eight former Australian Defence Force members discharged on or after January 1, 2004 responded to a cross-sectional survey measuring adjustment, physical and mental health, and participation in occupations. Occupations were coded using the Time Use Classification system developed by the Australian Bureau of Statistics. An easier adjustment was reported by former service members who participated in employment-related activities, domestic activities, voluntary work and care activities, and social and community interaction (MD = −0.63 to −0.45, d = .37 to .52). Participation in employment-related activities, social and community interaction, and sport and outdoor activity was associated with better physical health (MD = 3.20 to 3.73, d = .34 to .40). Participation in employment-related activities was also associated with better mental health (MD = −3.75, d = .54). This research indicates that participation in occupation is a factor that may be utilized with former service members to positively influence health and adjustment during military transitions. Given differences in participation and outcomes among different sub-groups, it is recommended that occupation-based programs be tailored to individual preferences and transition needs.

We study the impact of teenage sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score on the PHQ9 Patient Depression Questionnaire -- and control for several potential confounders related to demographics and family socioeconomic status. To probe the possibility that certain types of sports participation may have larger effects on health than others, we conduct a matched observational study at each level within a hierarchy of exposures. Our hierarchy ranges from broadly defined exposures (e.g., participation in any organized after-school activity) to narrow (e.g., participation in collision sports). We deployed an ordered testing approach that exploits the hierarchical relationships between our exposure definitions to perform our analyses while maintaining a fixed family-wise error rate. Compared to teenagers who did not participate in any after-school activities, those who participated in sports had statistically significantly better self-rated and mental health outcomes in early adulthood.

The growing demand for home healthcare calls for tools that can support care delivery. In this study, we explore automatic health assessment from voice using real-world home care visit data, leveraging the diverse patient information it contains. First, we utilize Large Language Models (LLMs) to integrate Subjective, Objective, Assessment, and Plan (SOAP) notes derived from unstructured audio transcripts and structured vital signs into a holistic illness score that reflects a patient's overall health. This compact representation facilitates cross-visit health status comparisons and downstream analysis. Next, we design a multi-stage preprocessing pipeline to extract short speech segments from target speakers in home care recordings for acoustic analysis. We then employ an Audio Language Model (ALM) to produce plain-language descriptions of vocal biomarkers and examine their association with individuals' health status. Our experimental results benchmark both commercial and open-source LLMs in estimating illness scores, demonstrating their alignment with actual clinical outcomes, and revealing that SOAP notes are substantially more informative than vital signs. Building on the illness

IMPORTANCE: Lifestyle Redesign® originated as a preventive occupational therapy intervention for healthy older adults, and it was found to be both effective and cost effective in the Well Elderly Studies initiated in the 1990s. Building on that empirical foundation, the scope of Lifestyle Redesign has been greatly expanded as a general intervention framework addressing prevention and chronic condition management in a wide range of populations, settings, and conditions. Yet until now, its full scope, defining characteristics, and supporting evidence have not been clearly and succinctly described, limiting its potential reach and impact. OBJECTIVE: To outline the definition and key characteristics of Lifestyle Redesign, provide a scoping review of its evidence base and future directions for research, describe its current applications, and make recommendations for its use in clinical practice. EVIDENCE REVIEW: We searched PubMed and CINAHL, tables of contents of 10 occupational therapy journals, and citations in two seminal Lifestyle Redesign publications to identify articles published in 1997-2020 that described quantitative outcomes (for n ≥ 20) of interventions meeting the defining characteristics of Lifestyle Redesign. FINDINGS: Our scoping review yielded 12 publications providing supportive evidence for Lifestyle Redesign's positive impact on a range of health and well-being outcomes among both well populations and those with chronic conditions. CONCLUSIONS AND RELEVANCE: Lifestyle Redesign has the potential to meet a growing need in clinical and community settings for health care services that address prevention, health promotion, and chronic disease management. What This Article Adds: Current evidence supports the use of Lifestyle Redesign to improve health and well-being for a range of client populations. This review outlines its defining characteristics and current applications to improve its implementation in clinical practice and expand related research efforts.

YouTube has rapidly emerged as a predominant platform for content consumption, effectively displacing conventional media such as television and news outlets. A part of the enormous video stream uploaded to this platform includes health-related content, both from official public health organizations, and from any individual or group that can make an account. The quality of information available on YouTube is a critical point of public health safety, especially when concerning major interventions, such as vaccination. This study differentiates itself from previous efforts of auditing YouTube videos on this topic by conducting a systematic daily collection of posted videos mentioning vaccination for the duration of 3 months. We show that the competition for the public's attention is between public health messaging by institutions and individual educators on one side, and commentators on society and politics on the other, the latest contributing the most to the videos expressing stances against vaccination. Videos opposing vaccination are more likely to mention politicians and publication media such as podcasts, reports, and news analysis, on the other hand, videos in favor are more li

BACKGROUND: Long-term disability following stroke can lead to participation restrictions in complex and social everyday activities, yet information is lacking on to what extent stroke survivors return to their pre-stroke levels of participation. OBJECTIVES: The objectives of this study were to investigate the level of participation in complex and social everyday activities 6 years after stroke, to compare this with pre-stroke participation and to identify predictors of returning to pre-stroke levels of participation. METHOD: All patients admitted to Karolinska University Hospital's stroke units during a 1-year period were eligible to participate and 349 patients were recruited. Assessments were made at base-line, 3 months and 6 years using self-reported outcome measures. Participation was assessed using the Frenchay Activities Index (FAI). The 6-year score for each participant was compared to the pre-stroke score, both for the total score and for each domain (domestic chores, leisure/work and outdoor activities). Predictors of having the same or better level of participation at 6 years were identified using logistic regression. RESULTS: At 6 years, 121 participants were followed up, 166 were deceased, 44 declined to take part and 18 could not be traced. At 6 years 84% could be described as active (FAI≥15). The same level of participation or better than pre-stroke was found in 35% of participants, in 65% the level was lower. Similar predictors were identified for achieving the same or better level of participation at 6 years for FAI total and the three domains; ability to walk without aids and a lower age at stroke onset, and perceived mobility, participation and recovery at 3 months. CONCLUSION: Six years after stroke, 35% of participants had the same or better level of participation as pre-stroke. Rehabilitation after stroke to improve walking ability and participation might improve long-term participation in complex and social everyday activities.

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and capacity building, among other use cases-can improve the health system and public health performance. We present an Artificial Intelligence and Reinforcement Learning platform that allows the delivery of adaptive interventions whose impact can be optimized through experimentation and real-time monitoring. The system can integrate multiple data sources and digital health applications. The flexibility of this platform to connect to various mobile health applications and digital devices and send personalized recommendations based on past data and predictions can significantly improve the impact of digital tools on health system outcomes. The potential for resource-poor settings, where the impact of this approach on health outcomes could be more decisive, is discussed specifically. This framework is, however, similarly applicable to improving efficiency in health systems where scarcity is not an issue.

OBJECTIVE: The COVID-19 pandemic continues to pose significant challenges to nations. The Korean government aimed to mitigate the spread of COVID-19 through stay-at-home strategies and maintaining social distance, which are likely to result in major changes in the lifestyle, mental health, and quality of life of citizens. This study aimed to investigate the impact of the COVID-19 pandemic on these factors in Koreans over 20 years old. METHODS: The study sample consisted of 104 adults in South Korea aged over 20 years. An online survey was conducted between August and October 2020, in which participants were asked to complete the Yonsei Lifestyle Profile to assess lifestyle changes, the Center for Epidemiological Studies-Depression Scale, and the World Health Organization Quality of Life Scale abbreviated version. To investigate the changes in people's lifestyles, depression, and quality of life post COVID-19, descriptive statistics were calculated for these indicators before and after the onset of the pandemic. The p-value was two-sided, and values <0.05, were regarded as statistically significant. RESULTS: There was a significant decline in physical and other meaningful activities, including activities of daily living, leisure, social activity, and education. However, there were no significant changes in nutrition, except in the consumption of carbohydrates and minerals. Participants reported that their quality of life and mental health had decreased after the pandemic struck. CONCLUSIONS: We obtained novel data on the changes in the lifestyle, mental health, and quality of life of South Korean adults before and after the onset of the pandemic. The results of our study may assist health policymakers and practitioners in the development of health education or relevant interventions to deal with the pandemic situation as well as future crises.

The COVID-19 pandemic has highlighted the dire necessity to improve public health literacy for societal resilience. YouTube, the largest video-sharing social media platform, provides a vast repository of user-generated health information in a multi-media-rich format which may be easier for the public to understand and use if major concerns about content quality and accuracy are addressed. This study develops an automated solution to identify, retrieve and shortlist medically relevant and understandable YouTube videos that domain experts can subsequently review and recommend for disseminating and educating the public on the COVID-19 pandemic and similar public health outbreaks. Our approach leverages domain knowledge from human experts and machine learning and natural language processing methods to provide a scalable, replicable, and generalizable approach that can also be applied to enhance the management of many health conditions.

Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes the Health Guardian platform, a non-commercial, scientific research-based platform developed by the IBM Digital Health team to rapidly translate AI research into cloud-based microservices. The platform can collect health-related data from various digital devices, including wearables and mobile applications. Its flexible architecture supports microservices that accept diverse data types such as text, audio, and video, expanding the range of digital health assessments and enabling holistic health evaluations by capturing voice, facial, and motion bio-signals. These microservices can be deployed to a clinical cohort specified through the Clinical Task Manager (CTM). The CTM then collects multi-modal, clinical data that can iteratively improve the accuracy of AI predictive models, discover new disease mechanisms, or identify novel biomarkers. This paper highlights three microservices with different input data types, including a text-based microservice for depression assessment, a video-based microservice for

We will study the impact of adolescent sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score on the PHQ9 Patient Depression Questionnaire -- and control for several potential confounders related to demographics and family socioeconomic status. Comparing outcomes between sports participants and matched non-sports participants with similar confounders is straightforward. Unfortunately, an analysis based on such a broad exposure cannot probe the possibility that participation in certain types of sports (e.g., collision sports like football or soccer) may have larger effects on health than others. In this study, we introduce a hierarchy of exposure definitions, ranging from broad (participation in any after-school organized activity) to narrow (e.g., participation in limited-contact sports). We will perform separate matched observational studies, one for each definition, to estimate the health effects of several levels of sports participation. In order to conduct these studies while maintaining a fixed family-wise error rate, we d

Participation is a central concept in health and well-being and healthcare, yet operationalizing this concept has been difficult. Its definition, uses in healthcare, and impacts on recovery require ongoing research. Our review question goes like this: from the longitudinal evidence investigating participation among stroke survivors, what are the patterns of participation recovery in stroke survivors over time, and what interventions are used to improve participation? To fully understand these questions, we also ask, how is participation defined in the stroke literature, and what are the measures of participation used in the stroke literature? A systematic scoping review was undertaken using the search terms "stroke," "longitudinal," "participation," and "outcome" in seven databases. Articles included were published until April 2017, written in English, and had at least two longitudinal assessments of participation. Fifty-nine articles met the inclusion criteria. The International Classification of Functioning, Disability and Health was the most frequent definition of participation used (34%). There were 22 different measures of participation. Eight of ten studies demonstrated significant improvements in participation up to 12 months poststroke. Efficacy of interventions and their impact on participation varied. The various definitions, measures, and intervention efficacies of participation highlight the need for further research worldwide into achieving meaningful participation and quality of life among stroke survivors. Future practice should include participation as a main outcome measure.

The rapid spread of health misinformation on online social networks (OSNs) during global crises such as the COVID-19 pandemic poses challenges to public health, social stability, and institutional trust. Centrality metrics have long been pivotal in understanding the dynamics of information flow, particularly in the context of health misinformation. However, the increasing complexity and dynamism of online networks, especially during crises, highlight the limitations of these traditional approaches. This study introduces and compares three novel centrality metrics: dynamic influence centrality (DIC), health misinformation vulnerability centrality (MVC), and propagation centrality (PC). These metrics incorporate temporal dynamics, susceptibility, and multilayered network interactions. Using the FibVID dataset, we compared traditional and novel metrics to identify influential nodes, propagation pathways, and misinformation influencers. Traditional metrics identified 29 influential nodes, while the new metrics uncovered 24 unique nodes, resulting in 42 combined nodes, an increase of 44.83%. Baseline interventions reduced health misinformation by 50%, while incorporating the new metrics

Growth of the older adult population has led to an increasing interest in technology-supported aged care. However, the area has some challenges such as a lack of caregivers and limitations in understanding the emotional, social, physical, and mental well-being needs of seniors. Furthermore, there is a gap in the understanding between developers and ageing people of their requirements. Digital health can be important in supporting older adults wellbeing, emotional requirements, and social needs. Requirements Engineering (RE) is a major software engineering field, which can help to identify, elicit and prioritize the requirements of stakeholders and ensure that the systems meet standards for performance, reliability, and usability. We carried out a systematic review of the literature on RE for older adult digital health software. This was necessary to show the representatives of the current stage of understanding the needs of older adults in aged care digital health. Using established guidelines outlined by the Kitchenham method, the PRISMA and the PICO guideline, we developed a protocol, followed by the systematic exploration of eight databases. This resulted in 69 primary studies o

Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solution using large language models (LLMs) and Fast Healthcare Interoperability Resources (FHIR) application programming interfaces (APIs). Materials and Methods: The research involved developing LLM on FHIR, an open-source mobile application allowing users to interact with their health records using LLMs. The app is built on Stanford's Spezi ecosystem and uses OpenAI's GPT-4. A pilot study was conducted with the SyntheticMass patient dataset and evaluated by medical experts to assess the app's effectiveness in increasing health literacy. The evaluation focused on the accuracy, relevance, and understandability of the LLM's responses to common patient questions. Results: LLM on FHIR demonstrated varying but generally high degrees of accuracy and relevance in providing understandable health information to patients. The app effectively translated medical data into patient-friendly language and was able to adapt its responses to different patient profiles. However, challenges included variability in LLM responses a

Although advances in stroke care have been shown to improve functional outcomes and survival, evidence suggests that stroke survivors continue to report restricted participation and dissatisfaction with life after returning home. There remains a need to identify ways to improve participation after stroke, considering the person within their context. The International Classification of Functioning, Disability and Health (ICF) provides a valuable framework that can be useful for categorising key components associated with participation. The two parts of the ICF — (a) Functioning and Disability and (b) Contextual Factors — encourage consideration of the functions/body structures, activity and participation, and personal and environmental factors, respectively. Previous research has identified links between body functions, structures and activity, with increasing attention being given to the ways in which these link with participation. Although some of the components influencing participation poststroke are well defined, there is a need to further develop our understanding of how personal and environmental factors may affect participation. In this article, stroke literature is categorised using the ICF and a range of personal and environmental factors are investigated as potential contributors to levels of participation poststroke. This article concludes that research investigating contextual factors and their interactions with participation is warranted.

BACKGROUND/AIM: Families of children with autism spectrum disorder (ASD) use family routines to provide predictability and structure to support occupational engagement of their family members. Mothers assume the major role to orchestrate occupations in constructing family routines, which may impact their health and wellbeing. However, the experiences of mothers in managing family routines and their health and wellbeing have not been the main focus in previous research. Thus, this study explored the experiences of mothers of children with ASD in managing family routines and their perceptions of the impact of family routines on their health and wellbeing. METHODS: An interpretive phenomenological approach was used. Twenty mothers of children with ASD, aged between 28 and 56 years, participated in semi-structured interviews. Data were transcribed verbatim and each transcript was analysed. RESULTS: Five themes that summarise mothers' perceptions towards health and wellbeing when managing family routines emerged: (i) Keeping on track keeping healthy; (ii) My life is busy, because I do everything for everyone else; (iii) Keeping on track all the time is tiring or frustrating; (iv) Looking after my family by looking after myself; and (v) I am not perfect and it is OK. CONCLUSION: This study highlighted the substantial efforts required in constructing family routines that may be at the cost of mothers' health and wellbeing. However, mothers may be able to cope with everyday demands in managing family routines by changing their perspectives. By integrating 'me-time' activities in family routines, mothers may be able to support their own health and wellbeing. Mothers' values and needs are reflected in family routines; hence, thorough understanding of family routines may be a key to support mothers' occupational engagement.