BACKGROUND AND OBJECTIVES

Telerehabilitation is the remote delivery of rehabilitation services using telecommunication technologies. Its local adoption was catalyzed by the COVID-19 pandemic, prompting the need to assess user acceptance. This study aimed to determine the acceptance of stroke telerehabilitation among patients, carers, and rehabilitation providers in the Department of Physical Medicine and Rehabilitation at St. Luke’s Medical Center – Global City and Quezon City.

METHODS

This descriptive cross-sectional study used purposive sampling to recruit 73 rehabilitation providers and 10 consumers. Data were collected using a self-administered survey based on the Technology Acceptance Model, covering perceived ease of use, usefulness, and behavioral intent. Descriptive and inferential statistics were used for analysis.

RESULTS

Most providers (94.4%) were familiar with telerehabilitation, while only half of the consumers were aware of it. Acceptance was moderate among providers (mean score: 35.75 ± 8.67) and high among consumers (mean score: 31.6 ± 7.52). Female providers were less likely to accept telerehabilitation (p=0.049). Consumers identified financial constraints and lack of a companion as key barriers, while providers cited internet issues and technology use. Both groups viewed telerehabilitation positively for teleconsultation, teletherapy, and telemonitoring. Smartphones were the preferred device; Viber and Facebook Messenger were the most commonly chosen platforms.

CONCLUSION

Stroke telerehabilitation was moderately to highly accepted by rehabilitation stakeholders in two tertiary private hospitals in Manila. Findings may guide institutional planning for telerehabilitation services. Training, infrastructure support, and awareness campaigns can help address implementation barriers.

Human ; Male ; Female ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Remote Consultation ; Physical And Rehabilitation Medicine ; Tertiary Care Centers ; Telecommunications ; Telerehabilitation ; Cross-sectional Studies ; Technology ; Stroke ; Covid-19

BACKGROUND

Occupational burnout is a growing concern in healthcare, which affects professionals across various disciplines. Radiographers working in non-traditional practice settings may face unique stressors that contribute to burnout, yet this population remains understudied, particularly in the Philippines.

OBJECTIVES

This study aimed to (1) assess and compare burnout levels among Filipino radiographers in non-traditional roles, (2) investigate the relationship between demographic variables and burnout, and (3) assess burnout severity by imaging role.

METHODS

A cross-sectional, quantitative survey design was employed. Participants (n = 188) completed an online survey including demographic questions and the Maslach Burnout Inventory (MBI). Data analysis was performed using SPSS 23. Non-parametric tests were used to assess relationships between demographic variables and MBI scores.

RESULTS

Significant differences in burnout scores were found across imaging roles (p = .000). Mobile imaging professionals reported the highest emotional exhaustion (M = 48.4, SD = 4.7) and depersonalization (M = 21.5, SD = 4.7), and the lowest personal accomplishment (M = 18.1, SD = 7.2). Forensic imaging professionals reported the lowest overall burnout (M = 58.9, SD = 13.8) and depersonalization (M = 7.7, SD = 4.3), and the highest personal accomplishment (M = 29.4, SD = 8.3). Sex differences were observed for depersonalization (p = .045), with males scoring higher. Participants with graduate degrees reported lower personal accomplishment (p = .036). Severe burnout was the dominant category, especially in mobile, military, and veterinary imaging.

CONCLUSION

Burnout levels vary significantly among Filipino radiographers in non-traditional roles, with mobile imaging professionals at particularly high risk. These findings highlight the need for targeted interventions to mitigate burnout and promote wellbeing in this population.

Human ; Burnout, Professional ; Technology, Radiologic ; Philippines ; Cross-sectional Studies

BACKGROUND

Stroke is a leading cause of morbidity and mortality in the Philippines. Telestroke systems have been introduced to improve timely recognition and referral; however, their effectiveness depends on utilization at the community level.

OBJECTIVE

To assess stroke and telestroke knowledge, attitudes, practices, and barriers among barangay health workers (BHWs), and to determine factors associated with telestroke utilization.

METHODS

A cross-sectional study was conducted among 202 BHWs. Data were collected using a structured questionnaire assessing knowledge, attitudes, practices, and perceived barriers. Descriptive statistics were used to summarize responses. Associations between variables were analyzed using appropriate statistical tests, with significance set at p < 0.05.

RESULTS

Respondents had high stroke knowledge (75.5%, SD = 17.45) and telestroke knowledge (85.5%, SD = 18.82), as well as favorable attitudes (mean = 4.37). However, only 31.1% reported telestroke utilization. The most commonly reported barriers were lack of training (61.4%) and poor internet connectivity (15.8%). Telestroke familiarity was significantly associated with higher knowledge (p = 0.005) and more favorable attitudes (p = 0.001). Stroke-related training (p = 0.001) and years of experience (p = 0.001) were significantly associated with higher utilization.

CONCLUSION

Despite high knowledge and favorable attitudes, telestroke utilization among BHWs remains low. Training, familiarity, and infrastructure appear to play key roles in bridging the gap between knowledge and practice. Strengthening these factors may improve the effectiveness of community-based telestroke systems.

Human ; Occupational Groups ; Knowledge ; Attitude ; Stroke ; Technology

Continuous manufacturing, as an innovative pharmaceutical production model, offers advantages such as high production efficiency and ease of control compared to traditional batch production, aligning with the future trend of drug production moving toward greater efficiency and intelligence. However, the development of continuous manufacturing technology in wet granulation has been slow. On one hand, this is closely related to its high technical complexity, substantial equipment investment costs, and stringent process control requirements. On the other hand, the long-term use of the traditional batch production model has created strong path dependence, and the lack of mature standardized processes further increases the difficulty of technological transformation. To promote the deep integration of wet granulation technology with continuous manufacturing, this review systematically outlines the current application of wet granulation in continuous manufacturing. It focuses on the development of key technologies such as online detection, process modeling, and process scale-up, with the aim of providing a reference for process innovation and application in wet granulation.
Drug Compounding/instrumentation* ; Technology, Pharmaceutical/methods* ; Drugs, Chinese Herbal/chemistry* ; Models, Theoretical

OBJECTIVES: This study aimed to evaluate the repeatability and reliability of a self-developed domestic wireless surface electromyography (sEMG) system (Oralmetry) in assessing the activity of the temporalis and masseter muscles to provide theoretical support for its clinical application. METHODS: Twenty-two volunteers were recruited. Through multiple repeated measurements, the sEMG signals of bilateral anterior temporalis and masseter muscles during maximum voluntary clenching were collected using the self-developed sEMG device, Oralmetry, and two commercial sEMG devices (Zebris and Teethan), filtered, screened, and standardized. Seven sEMG indicators for assessing masticatory muscle function were calculated. The intraclass correlation coefficient (ICC) was used to evaluate the repeatability of the measurements from the three sEMG devices, and statistical analysis was conducted to compare the consistency of the seven sEMG indicators obtained from the devices. RESULTS: Among the 22 participants, the ICC values of the repeated measurements from the three sEMG devices ranged from 0.88 to 0.99. The measurements of three sEMG indicators (antero-posterior coeffificient, percentage overlapping coeffificient_MM, and percentage overlapping coeffificient_TA) obtained by Zebris were significantly different from those obtained by Oralmetry and Teethan (P<0.05). No significant differences in the measurements of the seven sEMG indicators were found between Oralmetry and Teethan. CONCLUSIONS Oralmetry and the two commercial sEMG devices demonstrated good repeatability in capturing sEMG indicators for evaluating masticatory muscle function. In particular, Oralmetry showed the highest ICC values. All three devices also exhibited good consistency in measuring sEMG indicators, and a high agreement was observed between the two wireless sEMG devices (Oralmetry and Teethan). These findings provide theoretical support for the clinical application of Oralmetry.
Humans ; Electromyography/methods* ; Masseter Muscle/physiology* ; Masticatory Muscles/physiology* ; Wireless Technology ; Reproducibility of Results ; Temporal Muscle/physiology* ; Male ; Adult ; Female ; Young Adult

To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

Heart failure (HF) is the end-stage of all cardiac diseases, characterized by high prevalence, high mortality, and heavy social and economic burden. Early warning of HF exacerbation is of great value for outpatient management and reducing readmission rates. Currently, remote dynamic monitoring technology, which captures changes in hemodynamic and physiological parameters of HF patients, has become the primary method for early warning and is a hot research topic in clinical studies. This paper systematically reviews the progress in this field, which was categorized into invasive monitoring based on implanted devices, non-invasive monitoring based on wearable devices, and other monitoring technologies based on audio and video. Invasive monitoring primarily involves direct hemodynamic parameters such as left atrial pressure and pulmonary artery pressure, while non-invasive monitoring covers parameters such as thoracic impedance, electrocardiogram, respiration, and activity levels. These parameters exhibit characteristic changes in the early stages of HF exacerbation. Given the clinical heterogeneity of HF patients, multi-source information fusion analysis can significantly improve the prediction accuracy of early warning models. The results of this study suggest that, compared with invasive monitoring, non-invasive monitoring technology, with its advantages of good patient compliance, ease of operation, and cost-effectiveness, combined with AI-driven multimodal data analysis methods, shows significant clinical application potential in establishing an outpatient management system for HF.
Humans ; Heart Failure/physiopathology* ; Monitoring, Physiologic/methods* ; Wearable Electronic Devices ; Remote Sensing Technology ; Early Diagnosis ; Electrocardiography ; Hemodynamics

OBJECTIVES: To explore potential keywords, research clusters, collaborative pattern, and research trends in the field of medical technology management (MTM) through bibliometric analysis, providing insights for researchers, policy makers, and hospital administrators. METHODS: A retrieval formula was applied to the title, abstract, and keywords in the Web of Science (WoS) Core Collection, along with system-recommended terms, to identify articles on MTM. A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis. The global trend of research output; total citations, average citations, and H-index; and bibliographic coupling, co-authorship, and keyword co-occurrence were analyzed using VOSviewer. RESULTS: The number of articles on MTM has been steadily increasing year by year. The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security. The United States, Italy, and the United Kingdom emerged as the main contributors, with the United States leading in both volume of publications (60 articles) and academic impact (H-index = 21). Authors from the United Kingdom and the United States led the way in cross-border cooperation. The top five institutions, ranked by total link strength among cross-institutional authors, were primarily located in Canada and Spain. CONCLUSIONS The field of MTM has experienced stable growth over the past three decades (1993-2022). The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data. Future research should emphasize interdisciplinary and professional collaboration, as well as international cooperation and open sharing of knowledge.
Bibliometrics ; Humans ; Biomedical Technology

OBJECTIVE: To explore the application progress and clinical value of digital technologies in the surgical treatment of ankylosing spondylitis (AS). METHODS: By systematically reviewing domestic and international literature, the study summarized the specific application scenarios, operational procedures, and technical advantages of digital technologies [including preoperative three-dimensional (3D) planning, intraoperative real-time navigation, robot-assisted surgery, and 3D printing] in AS surgery, and analyzed their impact on surgical accuracy, complication rates, and clinical outcomes. RESULTS: Digital technologies significantly improve the precision and safety of AS surgery. Preoperative 3D planning enables personalized surgical protocols; intraoperative navigation systems dynamically adjusts surgical trajectories, reducing the risk of iatrogenic injury; robot-assisted surgery can minimize human errors and enhance implant positioning accuracy; 3D-printed anatomical models and guides optimize the correction of complex spinal deformities. Furthermore, the combined applications of these technologies shorten operative time, reduce intraoperative blood loss, decrease postoperative complications (e.g., infection, nerve injury), and accelerate functional recovery. CONCLUSION Through multidimensional integration and innovation, digital technologies provide a precise and minimally invasive solution for AS surgical treatment. Future research should focus on their synergy with biomaterials and intelligent algorithms to further refine surgical strategies and improve long-term prognosis.
Humans ; Spondylitis, Ankylosing/diagnostic imaging* ; Printing, Three-Dimensional ; Surgery, Computer-Assisted/methods* ; Robotic Surgical Procedures/methods* ; Imaging, Three-Dimensional ; Postoperative Complications/prevention & control* ; Digital Technology ; Models, Anatomic

BACKGROUND: Adolescence was associated with suboptimal diabetes control. Studies supporting the use of mobile technology to improve glycemic control and adherence to treatment had mixed results.

OBJECTIVES: This study aimed to evaluate the effect of SMS reminders on improving glycemic control in adolescents with Type 1 Diabetes Mellitus (T1DM).

METHODOLOGY: A randomized control study among adolescents with poorly controlled type 1 diabetes mellitus was done. Data were processed from 56 out of 64 subjects who were randomized into control (N=29) who received standard of care and SMS group (N=27), who received standard of care and a daily SMS reminder regarding diabetes self-care for 12 weeks. An adherence form was answered by all participants and glycosylated hemoglobin (HbA1c) before and after intervention was compared.

RESULTS: HbA1c did not significantly differ between SMS and control groups after 12 weeks of intervention (SMS 9.98+2.12 vs control 10.54+2.13, p value of 0.305). Post intervention, there was no significant difference between SMS and control group in terms of adherence to insulin injection (no p value), blood glucose (BG) monitoring (p value 0.106), and diabetic diet (p value 0.803). However, adherence on exercise was significantly higher among control group than SMS group (p value 0.003).

CONCLUSION: A 12-week SMS intervention reminder in adolescents with type 1 diabetes mellitus did not significantly improve glycemic control and adherence to standard of care (insulin injection, blood glucose monitoring, diet and exercise).

RECOMMENDATION: Future researches could include a bigger study population and longer duration of intervention. Other forms of mobile technology could also be used as a form of reminder.

Human ; Male ; Female ; Child: 6-12 Yrs Old ; Adolescent: 13-18 Yrs Old ; Diabetes Mellitus ; Diabetes Mellitus, Type 1 ; Text Messaging ; Glycated Hemoglobin ; Therapeutics ; Technology ; Standard Of Care ; Self Care