Background: Occupational therapy (OT) can be part of mental health and psychosocial support (MHPSS) in the university setting. Numerous studies worldwide have highlighted the negative impact of COVID-19 on mental health due to isolation and restrictions. In the Philippines, these issues were exacerbated among students, whose abrupt shift to remote learning negatively affected their mental well-being. As universities reopened, there is an opportunity for OT to support students' mental health. Objectives: This study presents the findings of an online group discussion and an online forum that explored the role of OT in MHPSS in the Philippine university setting. Moreover, this study aimed to (1) describe the perceptions of Filipino OT practitioners (OTPs) on their role in the university setting, and (2) describe thoughts of Filipino OTPs on being part of MHPSS services. Method: Using a qualitative exploratory design, data was gathered through an online discussion and an online forum. Thirty-five Filipino OTPs with a background in mental health practice served as the participants. Data was analysed using constant comparison. Results: Analyses of data generated four themes: (1) awareness of the importance of MHPSS as student support, (2) mental health and occupation-focused support in the education setting, (3) role of OT in MHPSS, and (4) potential for interprofessional services. Conclusion Need for OT in MHPSS is justified by rising issues in anxiety, depression, trauma, and stress that can be addressed using an occupation-focused approach. OTPs can provide non-specialized services like PFA, or specialized individual or group-based interventions. However, OTPs think that they need to know more about MHPSS to contribute across all levels of MHPSS.
Occupational Therapy ; Mental Health ; Psychosocial Support Systems

Background: Early marriage is a formal or informal marriage performed under the age of 19 years. In Indonesia, cases of early marriage have always been a strategic issue that needs to be addressed because it will have a long-term impact on the health of mothers and children. Objective: The study aimed to analyze the relationship of education, knowledge, perception, family support, and socio-culture to early marriage behavior in women in Banjar Regency. Methods: This is a cross-sectional study using Fisher exact test with a 95% confidence level. The education variable was measured based on the respondent's highest educational level. The knowledge variable was measured using a multiple-choice questionnaire. The variable of perception used a list of statements with a Likert scale. Family support and socio-cultural variables use questionnaires with two choices (Yes/No). Results: The results of the analysis of 31 respondents using Fisher's exact test showed education (p-value = 1.000), knowledge (p-value = 0.097), perception (not identified), family support (p-value = 0.237), and socio-culture (p-value=0.296). Conclusion There is no relationship between education, knowledge, perception, family support, and socio-culture on early marriage behavior in Banjar Regency. This is because there are many factors that influence early marriage behavior that cannot be investigated in this study, such as attitude, economics, peer support, community leaders, and others.
Education ; Learning ; Perception ; Family Support

BACKGROUND

Occupational therapy (OT) can be part of mental health and psychosocial support (MHPSS) in the university setting. Numerous studies worldwide have highlighted the negative impact of COVID-19 on mental health due to isolation and restrictions. In the Philippines, these issues were exacerbated among students, whose abrupt shift to remote learning negatively affected their mental well-being. As universities reopened, there is an opportunity for OT to support students' mental health.

This study presents the findings of an online group discussion and an online forum that explored the role of OT in MHPSS in the Philippine university setting. Moreover, this study aimed to (1) describe the perceptions of Filipino OT practitioners (OTPs) on their role in the university setting, and (2) describe thoughts of Filipino OTPs on being part of MHPSS services.

Using a qualitative exploratory design, data was gathered through an online discussion and an online forum. Thirty-five Filipino OTPs with a background in mental health practice served as the participants. Data was analysed using constant comparison.

Analyses of data generated four themes: (1) awareness of the importance of MHPSS as student support, (2) mental health and occupation-focused support in the education setting, (3) role of OT in MHPSS, and (4) potential for interprofessional services.

Need for OT in MHPSS is justified by rising issues in anxiety, depression, trauma, and stress that can be addressed using an occupation-focused approach. OTPs can provide non-specialized services like PFA, or specialized individual or group-based interventions. However, OTPs think that they need to know more about MHPSS to contribute across all levels of MHPSS.

Background: Higher education was gravely affected by the pandemic which caused academic occupational disruptions and affected students. Challenges in successful engagement in occupations influence the health and well-being of the individual. Consequently, it is vital for occupational therapist (OT) educators to be informed on how to manage academic occupational disruptions to minimize its occurrence, mitigate its impact, and support students’ academic occupations. Objectives: This study aimed to determine the strategies, facilitators, and barriers in managing academic occupational disruptions encountered by Filipino OT educators. Methods: Respondents were ninety (90) Filipino OT educators coming from the different HEIs in the Philippines offering BSOT who completed an online cross-sectional survey. A 4-point Likert-scale was used to determine the strategies, facilitators, and barriers in managing academic occupational disruptions. Descriptive statistics was used for data analysis. Results: Respondents often (M = 2.95, SD = 0.94) utilize strategies for managing academic occupational disruptions, highlighting scheduling of synchronous and asynchronous sessions to balance online workload as the most utilized strategy. Respondents often (M = 3.00, SD = 0.70) encounter facilitators of managing academic occupational disruptions, citing flexibility of the school in adapting existing courses based on the context of delivery as the most common facilitator. Respondents sometimes (M = 2.19, SD = 0.95) encounter barriers to managing academic occupational disruptions, indicating need to work for income as the top barrier. Conclusion Despite the utilization of strategies and presence of facilitators in managing academic occupational disruptions, Filipino OT educators still encountered barriers. Psychosocial support and needs were also highlighted across strategies, facilitators, and barriers in managing academic occupational disruptions. This prompts for further sustainable development of OT competence to inform occupational therapy educators on how to minimize academic occupational disruptions, to mitigate its impact, and to support students’ academic occupations.
Occupational Therapy ; Psychosocial Support Systems

When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this problem, we propose an algorithm based on the improved whale algorithm to optimize support vector machines to enhance the performance of eye movement data classification. According to the characteristics of eye movement data, this study first extracts 57 features related to fixation and saccade, then uses the ReliefF algorithm for feature selection. To address the problems of low convergence accuracy and easy falling into local minima of the whale algorithm, we introduce inertia weights to balance local search and global search to accelerate the convergence speed of the algorithm and also use the differential variation strategy to increase individual diversity to jump out of local optimum. In this paper, experiments are conducted on eight test functions, and the results show that the improved whale algorithm has the best convergence accuracy and convergence speed. Finally, this paper applies the optimized support vector machine model of the improved whale algorithm to the task of classifying eye movement data in autism, and the experimental results on the public dataset show that the accuracy of the eye movement data classification of this paper is greatly improved compared with that of the traditional support vector machine method. Compared with the standard whale algorithm and other optimization algorithms, the optimized model proposed in this paper has higher recognition accuracy and provides a new idea and method for eye movement pattern recognition. In the future, eye movement data can be obtained by combining it with eye trackers to assist in medical diagnosis.
Animals ; Support Vector Machine ; Whales ; Eye Movements ; Algorithms

Atrial fibrillation is a common arrhythmia, and its diagnosis is interfered by many factors. In order to achieve applicability in diagnosis and improve the level of automatic analysis of atrial fibrillation to the level of experts, the automatic detection of atrial fibrillation is very important. This study proposes an automatic detection algorithm for atrial fibrillation based on BP neural network (back propagation network) and support vector machine (SVM). The electrocardiogram (ECG) segments in the MIT-BIH atrial fibrillation database are divided into 10, 32, 64, and 128 heartbeats, respectively, and the Lorentz value, Shannon entropy, K-S test value and exponential moving average value are calculated. These four characteristic parameters are used as the input of SVM and BP neural network for classification and testing, and the label given by experts in the MIT-BIH atrial fibrillation database is used as the reference output. Among them, the use of atrial fibrillation in the MIT-BIH database, the first 18 cases of data are used as the training set, and the last 7 cases of data are used as the test set. The results show that the accuracy rate of 92% is obtained in the classification of 10 heartbeats, and the accuracy rate of 98% is obtained in the latter three categories. The sensitivity and specificity are both above 97.7%, which has certain applicability. Further validation and improvement in clinical ECG data will be done in next study.
Humans ; Atrial Fibrillation/diagnosis* ; Support Vector Machine ; Heart Rate ; Algorithms ; Neural Networks, Computer ; Electrocardiography

The COVID-19 global pandemic has overwhelmed health services with large numbers of patients presenting to hospital, requiring immediate triage and diagnosis. Complications include acute respiratory distress syndrome, myocarditis, septic shock, and multiple organ failure. Point of care ultrasound is recommended for critical care triage and monitoring in COVID-19 by specialist critical care societies, however current guidance has mainly been published in webinar format, not a comprehensive review. Important limitations of point of care ultrasound include inter-rater variability and subjectivity in interpretation of imaging findings, as well as infection control concerns. A practical approach to clinical integration of point of care ultrasound findings in COVID-19 patients is presented to enhance consistency in critical care decision making, and relevant infection control guidelines and operator precautions are discussed, based on a narrative review of the literature.
Humans ; COVID-19/complications* ; SARS-CoV-2 ; Point-of-Care Systems ; Decision Support Systems, Clinical ; Ultrasonography

Objective: To explore the relationship of social support to patients with schizophrenia, family burden with patients' quality of life and family life satisfaction. Methods: Multi-stage stratified cluster random sampling was used to select 358 patients with schizophrenia and 358 patients' family members in Gansu Province who met the inclusion criteria were included. The Social Support Rating Scale, Family Burden Scale, Satisfaction with Life Scale and Quality of Life Scale were used in the survey. AMOS 24.0 was used to explore the pathway of influence of family burden on social support to patients with schizophrenia, patients' quality of life and patients' family life satisfaction. Results: There was a two-by-two significant correlation between patients' access to social support, family burden, patients' life quality and family life satisfaction (P<0.05), and the total score of the social support scale negatively predicted the total score of the life quality scale (β=-0.28, P<0.05) and positively predicted the total score of the life satisfaction scale (β=0.52, P<0.05). Family burden was a full mediator between the social support to the patient and the patient's quality of life, and as a partial mediator between the social support to the patient and the family's life satisfaction. Conclusions: Social support to people with schizophrenia is a significant predictor of their quality of life and family life satisfaction. Family burden mediates the relationship of social support to patients with their quality of life and family life satisfaction. Interventions can focus on increasing social support for the patient and reducing the burden on the patient's family to improve the patient's quality of life and increase the satisfaction of the patient's family.
Humans ; Patient Satisfaction ; Quality of Life ; Schizophrenia ; Family Relations ; Social Support

Humans ; Decision Support Systems, Clinical ; Rare Diseases/therapy*

BACKGROUND: Individual-level social capital is an important determinant of older adults' long-term care needs; however, there is scant evidence regarding community-level social capital. Therefore, we investigated the association between community-level social capital and the prevalence of the need for long-term care among older adults. METHODS: Between January and February 2018, a cross-sectional survey was conducted among all older adults (n = 13,558) aged 65 to 74 years in a rural municipality in Japan (total population, n = 72,833). A self-reported questionnaire was used to identify community-level social capital, comprising civic participation, social cohesion, and reciprocity. A multilevel logistic regression analysis was performed to estimate the odds ratios of the need for long-term care and a decline in social activity competence as assessed by instrumental activities of daily living. For the analysis, the community levels were divided into 76 voting districts and adjusted for daily life, lifestyle, socioeconomic status, health conditions, and the three social capital subscale scores at the individual level. RESULTS: After adjusting for the covariates, we observed a tendency that a higher community level of reciprocity was associated with a lower prevalence of long-term care needs (OR: 0.86, 95% confidence interval: 0.75-1.00), whereas a high community level of social cohesion was associated with a significantly reduced decline in instrumental activities of daily living (OR per standard deviation increase: 0.87, 95% confidence interval: 0.79-0.96). No significant association was found with civic participation. Similarly, individual-level social capital was associated with the need for long-term care and decline in instrumental activities of daily living. CONCLUSIONS Our findings suggest that good community-level reciprocity or social cohesion as well as good individual social capital status may help prevent the need for long-term care among older adults.
Humans ; Aged ; Interpersonal Relations ; Activities of Daily Living ; Social Participation ; Social Capital ; Multilevel Analysis ; Cross-Sectional Studies ; Long-Term Care ; Japan/epidemiology* ; Social Support