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

OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

BACKGROUND AND OBJECTIVE

Evidence base on employment-related medical examinations is highly variable. The aim of this study is to build expert agreement on the appropriate medical and laboratory tests in major industries in Quezon City.

METHODS

An initial scoping review of local, national, and international policies on employment-related diagnostic testing was done. The determination of industries at the selected study site (Quezon City) was accomplished through Pareto analysis. Interviews of key informants and representatives, and a consensus-building process through an expert panel were carried out by the Philippine College of Occupational Medicine (PCOM) Quezon City Chapter. Data gathered was used in the study and analyzed. An initial list of medical tests and diagnostics was drafted and the Modified RAND appropriateness method was used as the choice of mixed methods consensus-building process by an expert panel.

RESULTS

Regulations often vary significantly within settings and implementers, particularly the scope, content, and procedures for medical examinations of workers. History taking (including occupational history) and physical examination are the cornerstones of the screening process. CBC and chest x-ray were deemed appropriate screening laboratory tests for asymptomatic preemployment examination, while only chest x-rays were used during periodic examinations. Additional tests for medical surveillance should be based on job demands and specific exposure. For specific chemical exposure, standard references for medical requirements, like from Occupational Safety and Health Administration (OSHA), can be referred to.

CONCLUSION

A shift in how occupational health and safety measures are implemented is needed, particularly in the pre-employment and periodic examination practices, for more relevant screening while preventing unnecessary and low-yield testing and reducing costs for the employer and the employee. An occupational screening checklist/questionnaire based on the results of the study that includes appropriate clinical history-taking, review of systems (ROS), physical examination, and laboratories must be devised, which is to be followed by training in the proper conduction of these medical assessments.

Occupational Medicine ; Occupational Health ; Public Health ; Preventive Medicine

BACKGROUND

Burn injuries remain a significant global public health problem, causing substantial morbidity, mortality, and economic burden, particularly in low- and middle-income countries where nearly 90% of cases occur. Despite the importance of timely and appropriate first aid in reducing complications, community responses to burn injuries in many settings continue to rely on traditional or non-evidence-based practices.

OBJECTIVES

This qualitative phenomenological study explored community-based knowledge and responses related to the causes and first aid of burn injuries.

METHODS

The study involved ten (10) purposively selected informants residing in South Mangga Dua Urban Village, Central Jakarta, Indonesia. Data collection methods included semi-structured interviews, direct observations, and focus group discussions (FGDs). Thematic analysis was used.

RESULTS

Three (3) core domains were identified: (1) community perceptions of burn causes and classifications, (2) indigenous first aid practices used in domestic settings, and (3) sources of knowledge and information pathways related to burn first aid. Participants commonly attributed burns to incidents involving fire, hot liquids, and electrical faults. Their understanding of burn severity was limited to superficial assessments, with little awareness of clinical classifications. First aid responses were largely based on traditional practices such as the application of toothpaste, honey, or aloe vera, while evidencebased practices like using running water were rarely mentioned. Notably, most participants relied on familial teachings and informal community experiences as their primary sources of knowledge, with limited exposure to health professionals or verified media content.

CONCLUSION

Community knowledge is culturally rooted but misaligned with medical standards, potentially leading to unsafe practices. Culturally sensitive health education integrating traditional beliefs and accurate information is essential to improve outcomes in burn injury management.

Wounds And Injuries ; Residence Characteristics ; Public Health ; Mortality ; Insemination, Artificial, Heterologous ; Income ; Financial Stress ; Burns ; Health Education ; Attitude ; First Aid ; Medicine ; Health Communication ; Urban Population

BACKGROUND

Continuing Medical Education (CME) serves as a cornerstone for maintaining clinical competence and improving patient care. In the Philippines, CME has become increasingly digital, with the UP Med Webinars emerging as a leading platform for physician education over the past decade. Despite this growth, there has been limited evaluation of how well these webinars align with national health priorities, particularly those reflected in PhilHealth hospital admissions and claims data, which provide insights into the country's disease burden and healthcare utilization patterns.

OBJECTIVES

This study aimed to determine the extent to which the topics and reach of UP Med Webinars correspond with the Philippine health system’s most pressing clinical demands. Specifically, it aimed to analyze the trend in number of webinars by year; analyze the distribution of webinar topics by medical field; assess physician attendance as a proxy for clinical interest and engagement; evaluate the alignment between UP Med Webinar content and national health priorities based on PhilHealth’s top conditions, procedures, and reimbursed claims.

METHODS

The study used a qualitative content analysis of all Continuing Professional Development (CPD)-accredited UP Med Webinars from 2015 to 2024, supported by descriptive statistics. Webinar titles were coded thematically and categorized by topic and medical field. Attendance figures were analyzed to identify high-demand topics. These results were compared with PhilHealth Claims Reports (2020–2024), focusing on the top reimbursed medical diagnoses and procedures, to assess alignment with disease burden and health service delivery trends. These findings can help inform strategic planning for CME programs to ensure they remain responsive to the country's evolving public health needs.

RESULTS

From 2015 to 2024, a total of 686 CPDaccredited UP Med Webinars were conducted, attended by 685,994 participants. The annual number of webinars and attendees steadily increased, peaking during the COVID-19 pandemic (2020–2022) with heightened demand for virtual CME and pandemic-related topics. Internal Medicine consistently emerged as the most frequently covered field, accounting for 54.1% of webinars and 48.8% of total attendance, followed by Obstetrics and Gynecology (14.4% of webinars; 19.6% of attendance) and Pharmacotherapeutics (6.0% of webinars; 6.9% of attendance). Certain fields, including COVID-19 and Psychiatry, attracted disproportionately high attendance despite fewer sessions, indicating strong interest during periods of public health urgency. The top 10 webinar topics included Diabetes, Pregnancy, Cancer, Hypertension, Reproductive Health, COVID-19, Heart Disease, Antimicrobial Treatment, Vertigo, and Vaccination, reflecting a mix of chronic disease management, maternal health, infectious diseases, and emergent health concerns.

Comparison with PhilHealth claims data (2020– 2024) revealed a high disease burden in Internal Medicine, Obstetrics, and Pediatrics, with top medical conditions including Pneumonia, Dengue, Hypertensive emergencies, and Stroke. These findings indicate a strong alignment between the most covered webinar topics and national healthcare utilization trends, particularly in high-burden clinical areas.

CONCLUSION

Findings suggest that the UP Med Webinars have generally aligned with national health priorities, as indicated by PhilHealth claims data, particularly in highburden fields such as Internal Medicine and Obstetrics. However, gaps in coverage for certain high-priority conditions and procedures point to opportunities for more inclusive and data-driven CME planning. Aligning CME content with evolving health system needs can enhance its relevance, support clinical practice improvements, and ultimately contribute to better population health outcomes in the Philippines.

Education, Medical, Continuing ; Medicine ; Health Priorities

BACKGROUND AND OBJECTIVE

Identifying the factors and reasons behind medical students’ choice of medical specialty will provide an understanding to the health sectors and may serve as data for interventions necessary to address issues such as manpower allocation. This study aimed determine the factors that affect career interest in emergency medicine among postgraduate interns (PGI) of the University of the Philippines-Philippine General Hospital (UP-PGH).

METHODS

A cross-sectional study was conducted among UP-PGH PGI from August 2022 to June 2023. A website link for the validated questionnaire utilized previously by a similar study among medical students in Saudi Arabia was sent to the respondents which instructed them to choose the top 3 medical specialties that they were interested to pursue. Their top choices were evaluated through a 5-point Likert scale that ranged from 1-no influence to 5-major influence which included factors such as medical lifestyle, social orientation, prestige, hospital orientation, role model and varied wide scope of practice that were further divided into 30 variables. Data analysis was done using one-way ANOVA to compare the factors among specialty groups.

RESULTS

A total enumeration was conducted, involving 161 respondents. Respondents chose the following in order of preference as top choice: primary care (PC) (54.7%), controllable lifestyle (CL) (27.3%), surgical specialties (SS) (16.8%), and emergency medicine (EM) (5.6%). In the EM group, medical lifestyle was ranked the highest influential categorized factor and prestige as the least. The most important individualized factors that influence career interest in EM are acceptable hours of practice, able to spend appropriate time with family and focus on urgent care.

CONCLUSION

EM specialty was the least chosen top specialty among PGI. Medical lifestyle was considered to be the most influential factor among the EM group and prestige as the least. The low number of respondents who expressed interest in EM necessitates active promotion of the specialty to prevent the shortage of emergency physicians in the future.

Human ; Emergency Medicine

Stomatology is a first-level discipline mainly focusing on maintaining and promoting oral health, as well as preventing and treating diseases of oral and maxillofacial system. Through the great efforts of generations of stomatologists, China's stomatologic causes has achieved remarkable results and rapid development. The number of stomatologists has reached 334 000, and the ratio of stomatologists to the population is 1:4 600, which have made China a major country in stomatology. However, compared with developed countries, there is still a considerable gap in the overall oral health level of our people. Strengthen the construction of stomatologist team, especially the training of stomatologists at the basis level; Optimize medical education in stomatology and improve the quality of graduates; Strengthen primary oral care and lay a solid foundation for oral care service; Regulate private dental institutions and strengthen their construction; Popularize knowledge about oral health, enhance public awareness of oral health, and improve public oral health behaviors; Give full play to the leading role of new ideas, knowledge and technologies in stomatology is a key link in developing stomatology and building a strong country in stomatology.
Oral Medicine/organization & administration* ; Humans ; China ; Oral Health

In recent years, China has continued to face a high prevalence of oral diseases, along with uneven access to high-quality dental care. Against this backdrop, artificial intelligence (AI), as a data-driven, algorithm-supported, and model-centered technology system, has rapidly expanded its role in transforming the landscape of stomatology. This review summarizes recent advances in the application of AI in stomatology across clinical care, biomedical and materials research, education, and hospital management. In clinical settings, AI has improved diagnostic accuracy, streamlined treatment planning, and enhanced surgical precision and efficiency. In research, machine learning has accelerated the identification of disease biomarkers, deepened insights into the oral microbiome, and supported the development of novel biomaterials. In education, AI has enabled the construction of knowledge graphs, facilitated personalized learning, and powered simulation-based training, driving innovation in teaching methodologies. Meanwhile, in hospital operations, intelligent agents based on large language models (LLMs) have been widely deployed for intelligent triage, structured pre-consultations, automated clinical documentation, and quality control, contributing to more standardized and efficient healthcare delivery. Building on these foundations, a multi-agent collaborative framework centered around an AI assistant for stomatology is gradually emerging, integrating task-specific agents for imaging, treatment planning, surgical navigation, follow-up prediction, patient communication, and administrative coordination. Through shared interfaces and unified knowledge systems, these agents support seamless human-AI collaboration across the full continuum of care. Despite these achievements, the broader deployment of AI still faces challenges including data privacy, model robustness, cross-institution generalization, and interpretability. Addressing these issues will require the development of federated learning frameworks, multi-center validation, causal reasoning approaches, and strong ethical governance. With these foundations in place, AI is poised to move from a supportive tool to a trusted partner in advancing accessible, efficient, and high-quality stomatology services in China.
Artificial Intelligence ; Humans ; Oral Medicine/trends* ; China ; Delivery of Health Care ; Machine Learning

Gastric cancer is a high-incidence malignancy that poses a serious threat to public health in China, ranking among the top three cancers in both incidence and mortality. The majority of patients are diagnosed at an advanced stage, resulting in limited treatment options and poor prognosis. To address key challenges in gastric cancer diagnosis and treatment, a research team led by Professor Jiafu Ji at Peking University Cancer Hospital has focused on the project "Development and Dissemination of Precision Medicine Approaches in Gastric Cancer Management". Through a series of high-quality multicenter clinical studies, the team established a set of new international standards in perioperative treatment, individua-lized drug selection, intelligent noninvasive diagnostics, and novel immunotherapy strategies. These advances have significantly improved treatment efficacy and reduced surgical trauma, achieving key technological breakthroughs in diagnosis, therapy, and mechanistic understanding, and systematically enhancing outcomes for gastric cancer patients. The project ' s findings had a broad international impact, including hosting China ' s first International Gastric Cancer Congress. Through nationwide dissemination, they have promoted the development of precision diagnosis and treatment of gastric cancer as a discipline, and led the formulation of the National Health Commission's guidelines for gastric cancer diagnosis and treatment. In recognition of its achievements, the project was awarded the First Prize of the 2024 Chinese Medical Science and Technology Award.
Stomach Neoplasms/genetics* ; Humans ; Precision Medicine/methods* ; China ; Immunotherapy/methods*

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning