The “SmartCaregivers” 1.0 mobile application is a beacon of hope for caregivers (CG) in rural areas, often facing limited access to facilities and support. This study, conducted from February to August 2021, aimed to comprehensively analyze the need for developing a database system and a mobile application tailored to enhance caregiver support and resource management for long-term dependent individuals in the rural areas of Maha Sarakham province, Thailand. The research followed a rigorous research and development (R & D) approach, specifically the ADDIE model (analysis, design, development, implementation, and evaluation). Data were collected from 402 caregivers and 10 key informants through surveys and interviews, as well as from 402 caregivers during the implementation and evaluation phases. The application’s impact was assessed using a quasi-experimental design with a one-group pre–post-test, and its acceptance was evaluated through the technology acceptance model (TAM). The application significantly improved caregivers’ knowledge scores, with a mean increase from 10.49 ± 2.53 to 12.18 ± 2.76 post-intervention. High scores for perceived usefulness (4.36 ± 0.62) and ease of use (4.31 ± 0.59) reassure the audience about the application’s effectiveness in providing rapid access to health information, aiding decision-making, and improving care coordination. The system quality was also highly rated, with users appreciating the variety of functions and structural design. This potential for transformation and improvement instills hope and optimism for the future of caregiving in rural areas.

Background: Type 2 diabetes mellitus (T2DM) is a major public health problem in Thailand, particularly in rural areas where individuals have limited access to structured diabetes care and education. Poor self-management contributes to uncontrolled glycemic levels and long-term complications. Objectives: This study evaluated the effectiveness of a community-based health care program on glycemic control and self-care behaviors among adults with uncontrolled T2DM. Methods: A quasi-experimental study was conducted among 80 patients with uncontrolled T2DM in Kalasin Province. Participants were assigned to either an intervention group (n = 40) or a comparison group (n = 40). The 12-week intervention consisted of diabetes self-management education, individualized lifestyle support, and community/family engagement. Diabetes self-care behavior and glycated hemoglobin (HbA1c) were assessed at baseline and Week 12. Statistical analyses included paired t-test, independent t-test, and 95% confidence intervals. Results: The intervention group demonstrated a significant improvement in self-care behavior (MD = 14.83; p < 0.0001), compared with a minimal change in the comparison group (0.80; p = 0.756). HbA1c levels significantly decreased in the intervention group (−0.47%; 95% CI: −0.61 to −0.33; p < 0.0001), while a slight nonsignificant increase was observed in the comparison group (0.11%; p = 0.210). The between-group analysis showed a significant reduction in HbA1c favoring the intervention (−0.92%; p < 0.0001), supported by a large effect size (Hedges’ g = 0.87). Conclusions: This community-based health care program effectively enhanced diabetes self-management behaviors and improved glycemic control. Integrating such behavioral support into primary health care services may strengthen long-term diabetes management and reduce complications among patients with uncontrolled T2DM.

Introduction: This study aimed to develop a service model for daycare centers for the elderly through community participation using participatory action research methods. The objectives were threefold: (1) to investigate the current situation of the elderly in the community and their needs for daycare center services, (2) to develop a daycare center for the elderly with active community involvement, and (3) to evaluate the effectiveness of the service delivery at the daycare center for the elderly. Methods: The study was conducted in Ban Kho Subdistrict, Phon Sawan District, Nakhon Phanom Province. Research participants included 210 elderly individuals surveyed to assess their situation, and 15 key informants, including elderly club leaders, subdistrict health promotion hospital staff, volunteers, subdistrict administrative organization officers, and village health volunteers, were specifically selected for in-depth insights. The research process was structured into three phases: Phase 1 focused on studying the situation of the elderly in the community and their service needs; Phase 2 was dedicated to developing the daycare center with community participation; and Phase 3 involved evaluating the service delivery of the daycare center. Results: The results indicated that the development process of the daycare center service model for the elderly, through community participation, involved four key mechanisms: elderly clubs, subdistrict health promotion hospitals, volunteer teachers or technicians, and village volunteers. Additionally, the supporting mechanisms included academic institutions, hospitals, temples, village heads, the Non-Formal Education Center, foundations, and the subdistrict administrative organization. The comprehensive service model encompassed five components: health, social, psychological, economic, and environmental aspects. Conclusions: The study successfully developed a daycare center service model for the elderly through community participation, which can be expanded and adapted to other semi-urban and semi-rural contexts. This model demonstrates the importance of community involvement in providing holistic care for the elderly, addressing various aspects of their well-being.

This study evaluates the application of virtual reality (VR) technology in disaster prevention and mitigation education at the Sichuan Provincial Disaster Prevention and Mitigation Education Center. We conducted a comparative analysis between two groups: one using traditional emergency training methods (control group) and the other using VR-based training (experimental group). Data from 472 participants revealed that the experimental group, which experienced VR-based training, reported greater satisfaction and perceived the training as more immersive and effective compared to the control group. Additionally, the experimental group demonstrated shorter learning times and higher willingness to adopt VR in the future. This study highlights the potential of VR technology to improve emergency preparedness training and offers insights into the benefits and challenges of its implementation in disaster education.

Background: Informal sewing workers are widely exposed to ergonomic and work-load-related risks but remain largely excluded from formal occupational health protection, particularly in low- and middle-income countries. This study aimed to assess ergonomic risk factors, mental workload, and work-related musculoskeletal disorders (WMSDs) among informal sewing workers and to develop preventive guidelines based on the Hier-archy of Ergonomic Controls (HEC). Methods: A mixed-methods study was conducted among 150 informal sewing workers in Ubon Ratchathani Province, Thailand. Quantita-tive data were collected using a structured questionnaire, the Rapid Upper Limb Assess-ment (RULA), the Nordic Musculoskeletal Questionnaire (NMQ), and the NASA Task Load Index (NASA-TLX). Associations between sociodemographic characteristics, ergo-nomic risks, and WMSDs were analyzed using chi-square tests and correlation analysis. Qualitative data were obtained through a focus group discussion with key stakeholders to develop ergonomic control strategies guided by the HEC framework. Results: The majority of participants were female and middle-aged, with widespread exposure to high-risk er-gonomic conditions, including prolonged sitting, repetitive tasks, and awkward postures. A high prevalence of WMSDs was observed, particularly in the neck, shoulders, and back. Younger workers and those with lower educational attainment experienced significantly higher ergonomic risk exposure and WMSD prevalence. NASA-TLX results indicated that physical demand and performance pressure were the main contributors to overall work-load. Application of the HEC framework showed that elimination and substitution con-trols were the most effective strategies for reducing ergonomic risks, followed by engi-neering controls, while administrative measures and personal protective equipment were less effective. Conclusions: Informal sewing workers face substantial ergonomic and mental workload risks that contribute to a high burden of WMSDs. Prioritizing high-er-order ergonomic controls, integrating workload management, and implementing community-based ergonomic interventions are essential to improving occupational health and reducing inequities among informal workers.

Background: Informal sewing workers are widely exposed to ergonomic and workload-related risks but remain largely excluded from formal occupational health protection, particularly in low- and middle-income countries. This study evaluated integrated physical and mental workload risks associated with WMSDs among informal sewing workers to develop contextually feasible preventive guidelines based on the Hierarchy of Ergonomic Control. Methods: A mixed-methods study was conducted among 150 informal sewing workers in Ubon Ratchathani Province, Thailand. Quantitative data were collected using a structured questionnaire, the Rapid Upper Limb Assessment (RULA), the Nordic Musculoskeletal Questionnaire (NMQ), and the NASA Task Load Index (NASA-TLX). Associations between sociodemographic characteristics, ergonomic risks, and WMSDs were analyzed using chi-square tests and correlation analysis. Qualitative data were obtained through a focus group discussion with key stakeholders to develop ergonomic control strategies guided by the HEC framework. Results: The majority of participants were female and middle-aged, with widespread exposure to high-risk ergonomic conditions, including prolonged sitting, repetitive tasks, and awkward postures. A high prevalence of WMSDs was observed, particularly in the neck, shoulders, and back. Younger workers and those with lower educational attainment experienced significantly higher ergonomic risk exposure and WMSD prevalence. NASA-TLX results indicated that physical demand and performance pressure were the main contributors to overall workload. Application of the HEC framework showed that elimination and substitution controls were the most effective strategies for reducing ergonomic risks, followed by engineering controls, while administrative measures and personal protective equipment were less effective. Conclusions: Informal sewing workers face substantial ergonomic and mental workload risks that contribute to a high burden of WMSDs. Prioritizing higher-order ergonomic controls, integrating workload management, and implementing community-based ergonomic interventions are essential to improving occupational health and reducing inequities among informal workers.