BACKGROUND AND OBJECTIVES

text-align: justify;" data-mce-style="text-align: justify;">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

text-align: justify;" data-mce-style="text-align: justify;">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

text-align: justify;" data-mce-style="text-align: justify;">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

text-align: justify;" data-mce-style="text-align: justify;">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

Self-management is crucial for individuals with chronic illnesses. While mobile applications (mAPPs) have emerged to support diverse health needs, evidence regarding their efficacy for self-management among chronically ill Filipino patients is inconsistent and limited, particularly in provincial settings.

OBJECTIVE

To investigate the effectiveness of the Health Storylines mAPP compared to a traditional pamphlet for enhancing self-management among individuals with chronic illnesses in Baguio City, Philippines.

METHODS

We conducted a two-arm quasi-experimental study with 33 participants diagnosed with cancer, type 2 diabetes, or heart disease/hypertension. Participants were recruited via convenience sampling and allocated to an intervention group (n=17), which used the Health Storylines mAPP for four weeks, or a comparison group (n=16), which received a traditional pamphlet. Selfmanagement was assessed pre- and post-intervention using the Self-Management Assessment Scale (SMASc).

RESULTS

Participants demonstrated a high level of selfmanagement at baseline (μ=5.20, SD=0.70). After four weeks, the intervention group showed a non-significant decrease in self-management scores (from μ=5.25 to 5.00, p=0.27), while the comparison group exhibited a non-significant increase (from μ=5.19 to 5.37, p=0.61). There was no statistically significant difference in posttest self-management scores between the two groups (U=83.50, p=0.23).

CONCLUSION

In a population of chronically ill patients already proficient in managing their condition, the Health Storylines mAPP had a marginal impact on selfmanagement, while the use of a traditional pamphlet showed a slight positive effect. The findings suggest that for this population, familiar, low-barrier resources remain valuable, and mHealth interventions must account for baseline self-management capabilities and digital literacy. Chronic Illness; Health Storylines mAPP; Self-management; mHealth; Philippines.

Chronic Disease ; Chronic Illness ; Self Care ; Self-management ; Telemedicine

Abstract Background: This study aims to determine the effectiveness of programmed exercise with telerehabilitation at home in patients with obesity and knee osteoarthritis on visual analogue scale scores, body mass index, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Methods: This research is a pre–post study in patients with obesity and knee osteoarthritis. Research subjects performed a series of exercise programs at home for 28 days. Before the program, there was an initial assessment from a psychologist and a nutritionist. During the program, there was tele-education, telemonitoring, and teleconsultation from doctors. Twenty-six female subjects participated. Results: Visual analogue scale scores decreased statistically significantly every week, until the end of the fourth week, compared with before the intervention (p<0.001). Body mass index and WOMAC scores decreased statistically significantly at the end of the fourth week compared with before the intervention (both p<0.001). Further analysis of all WOMAC components in the intervention group, including pain, stiffness, and physical function, also showed a statistically significant decrease (p<0.001). Conclusion: Programmed exercise as part of telerehabilitation at home has been statistically proven to reduce visual analogue scale scores, body mass index, and WOMAC in patients with obesity and knee osteoarthritis.
Telerehabilitation ; Knee Osteoarthritis ; Obesity ; Body Mass Index ; Visual Analogue Scale ; WOMAC

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*

BACKGROUND

text-align: justify;" data-mce-style="text-align: justify;">The Philippines has the highest number of new leprosy cases in the Western Pacific Region, with 1,000 to 2,000+ cases detected annually over the past decade. Out of 46 filariasis-endemic provinces in the country, 43 have eliminated lymphatic filariasis. However, many grade 2 disabilities acquired from these neglected tropical diseases (NTDs) remain undetected due to inadequate monitoring during and after treatment. This was further exacerbated by the detrimental impact of COVID-19 on healthcare access. The pandemic prompted initial adoption of teletraining, making a feasibility study necessary.

OBJECTIVE

text-align: justify;" data-mce-style="text-align: justify;">This study aimed to determine the feasibility of using telehealth and distance learning to train healthcare workers and patients in the integrated rehabilitation and prevention of impairments and disabilities from leprosy, lymphatic filariasis, mycetoma, diabetes, pressure ulcers, and other chronic wounds.

METHODS

text-align: justify;" data-mce-style="text-align: justify;">Selected rural health units, patients with disabilities, and their caregivers in a leprosy- and lymphatic filariasis-endemic region were recruited. Municipal health officers and leprosy coordinators helped in the conceptualization, planning, implementation, and evaluation of the teletraining program to ensure its acceptability and utilization. Asynchronous and synchronous methods were used. The main reference was the "Ten Steps" guide. Training materials were shared via Google Drive and flash drives sent to each study site. One-day didactics and skills trainings were conducted through live-interactive sessions using online platforms (Zoom or Google Meet). Topics focused on nerve function assessment (for leprosy and diabetes), problems of mobility, lymphedema, wound care, and self-care. Participants practiced and demonstrated their skills on local patients, with mentoring through Messenger chats. Knowledge and performance assessments were conducted.

RESULTS

text-align: justify;" data-mce-style="text-align: justify;">The study was conducted from 2021 to 2022 and the actual training implemented within four months of 2022. Two municipalities of Sultan Kudarat province, Mindanao Island group with one rural health unit (RHU) each had participated. All participants (N=16; eight RHU personnel and eight village health workers) attended the synchronous skills training, 12 (75%) submitted return demo videos, and 13 (81.25%) had practicum patients. All participants rated the training as successfully attaining objectives and activities. All were generally satisfied with the teletraining because of improved knowledge and skills gained and were willing to continue it. Efficiency, speed, quality of training, and trainers had high ratings. Teletraining was considered effective in improving the wound care of their patients. Patients were also satisfied with the home care. However, the unreliable internet service in the study sites created difficulties during synchronous sessions and negatively affected appropriateness of teletraining. Finding patients for practicum was challenging. Some supplies were not available in local drugstores and had to be shipped from Manila, raising costs. Overall, the rating of the teletraining was good.

CONCLUSION

text-align: justify;" data-mce-style="text-align: justify;">Teletraining of health workers from distant health units on integrated disability prevention and care is feasible in terms of implementation, acceptability, and practicality if stable internet connectivity is available. Larger studies are recommended.

Human ; Telehealth ; Telemedicine ; Leprosy ; Lymphatic Filariasis ; Elephantiasis, Filarial ; Pressure Ulcer

BACKGROUND AND OBJECTIVES

text-align: justify;" data-mce-style="text-align: justify;">Depression and anxiety are common among patients with cardiovascular disease. With increased stress from the ongoing pandemic, it is important to evaluate these conditions. Hence, this study aimed to identify the prevalence of depression and anxiety among outpatient consults via telemedicine through the HADS-P questionnaire and to compare the clinical and socioeconomic profile of patients with HADS-P score of >/=11.

METHODS

text-align: justify;" data-mce-style="text-align: justify;">This is a cross-sectional descriptive study including participants, outpatients in the cardiology clinic through an online survey regarding their socioeconomic demographic profile and the HADS-P questionnaire. Patients with scores of >/=11 for anxiety or depression were identified and the two groups were compared using a chi-square test analysis.

RESULTS

text-align: justify;" data-mce-style="text-align: justify;">One hundred and twelve patients were recruited. Majority were females, with a partner, unemployed and living below the poverty line. The most common cardiovascular condition was ischemic heart disease and most patients were at least functional class II. The measured prevalence of probable anxiety and depression were 22% and 8%, respectively. A significant difference between the presence of both anxiety and depression was seen in participants with no partners; and for depression alone, in employed participants.

CONCLUSION

text-align: justify;" data-mce-style="text-align: justify;">Anxiety and depression are common in this sample population. HADS-P is a simple way of screening patients for these conditions so that holistic care may be instituted and appropriate referrals for psychological intervention may be done.

Human ; Anxiety ; Depression ; Telemedicine

BACKGROUND

text-align: justify;" data-mce-style="text-align: justify;">Telemedicine as a response to the need for consultation amidst limited face to face interaction during the pandemic became part of the services of most tertiary hospitals in Davao City. In order to ensure the client’s needs are addressed by existing telemedicine services, it is important to look at the level of client satisfaction and identify factors that influence it.

OBJECTIVE

text-align: justify;" data-mce-style="text-align: justify;">The main objective of the study was to determine the level of satisfaction and the factors influencing it among the patients of the Family Medicine Department of a tertiary hospital in Davao City on the telemedicine services they received.

METHODS

text-align: justify;" data-mce-style="text-align: justify;">The study employed a descriptive cross-sectional design utilizing a self-administered telemedicine satisfaction questionnaire developed from the Clinician and Group Adult Visit Survey 4.0 (beta) and Telehealth Usability Questionnaire (TUQ). Participants were 18 years old and above and sought teleconsultation in the institution during the pandemic. Excluded were those who did not give consent. The data gathered were analyzed using an Epi-Info software to determine what factors were associated with level of satisfaction, a chi-square test was done for nominal and ordinal data while a t-test or ANOVA as applicable was used for continuous data.

RESULTS

text-align: justify;" data-mce-style="text-align: justify;">A total of 278 patients were surveyed. More than ninety-five percent of the respondents perceived high satisfaction rating on the telemedicine service while less than five percent were dissatisfied. Eight factors were identified that seem to affect level of satisfaction. These include employment status, network connection and frequency of telemedicine.

CONCLUSION

text-align: justify;" data-mce-style="text-align: justify;">The study identified that the telemedicine in SPMC DFCM provides high level of satisfaction among patients availing the service. It was also identified that factors such as employment status, network connectivity and frequency of using the service affects the level of satisfaction.

Human ; Telemedicine ; Patient Satisfaction

INTRODUCTION: Although pre-exposure prophylaxis (PrEP) has been available in Singapore since 2016, its uptake among gay, bisexual and other men-who-have-sex-with-men (GBMSM) is low. The iPARTY study was established to evaluate the acceptability and feasibility of PrEP and a PrEP teleconsultation service for young GBMSM aged 18 to 29 years. METHOD: A total of 53 young GBMSM were enrolled in the iPARTY study. They had a total of 5 in-person consultations and teleconsultations, at 12-week intervals. Laboratory tests and quarterly baseline surveys were performed to assess PrEP adherence, sexual behaviour, and incidence of human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs). RESULTS: Thirty-five participants completed the entire 12-month follow-up. Most participants had positive experiences with PrEP teleconsultations. There was a statistically significant fall in participants' aggregate Patient Health Questionnaire-9 scores throughout the study. Self-reported PrEP adherence decreased over the course of the study, denoting improved mental health. Although self-reported condom use for anal intercourse and participants' risk perception of HIV decreased after PrEP adoption, there was no statisti-cally significant increase in STI incidence. CONCLUSION This pilot project has shown that PrEP services provide an opportunity for YMSM to access sexual health testing, treatment and counselling, and may even have tangible benefits on the mental health of this population. Teleconsultation is shown to be a suitable platform for the delivery of such services. Collaborative initiatives are crucial to further enhance the affordability and accessibility of PrEP in Singapore, and to improve patient adherence.
Adolescent ; Adult ; Humans ; Male ; Young Adult ; Anti-HIV Agents/administration & dosage* ; Feasibility Studies ; Health Risk Behaviors ; HIV Infections/psychology* ; Incidence ; Medication Adherence ; Mental Health/statistics & numerical data* ; Pilot Projects ; Pre-Exposure Prophylaxis/statistics & numerical data* ; Sexual and Gender Minorities/statistics & numerical data* ; Sexually Transmitted Diseases/prevention & control* ; Singapore/epidemiology* ; Telemedicine/statistics & numerical data* ; Homosexuality, Male/statistics & numerical data*

The emergence of new-generation artificial intelligence technology has brought numerous innovations to the healthcare field, including telemedicine and intelligent care. However, the artificial intelligent medical device sector still faces significant challenges, such as data privacy protection and algorithm reliability. This study, based on invention patent analysis, revealed the technological innovation trends in the field of artificial intelligent medical devices from aspects such as patent application time trends, hot topics, regional distribution, and innovation players. The results showed that global invention patent applications had remained active, with technological innovations primarily focused on medical image processing, physiological signal processing, surgical robots, brain-computer interfaces, and intelligent physiological parameter monitoring technologies. The United States and China led the world in the number of invention patent applications. Major international medical device giants, such as Philips, Siemens, General Electric, and Medtronic, were at the forefront of global technological innovation, with significant advantages in patent application volumes and international market presence. Chinese universities and research institutes, such as Zhejiang University, Tianjin University, and the Shenzhen Institute of Advanced Technology, had demonstrated notable technological innovation, with a relatively high number of patent applications. However, their overseas market expansion remained limited. This study provides a comprehensive overview of the technological innovation trends in the artificial intelligent medical device field and offers valuable information support for industry development from an informatics perspective.
Artificial Intelligence ; Patents as Topic ; Humans ; Inventions ; China ; Brain-Computer Interfaces ; Telemedicine ; Equipment and Supplies ; Robotics ; Algorithms

Medical visual question answering (MVQA) plays a crucial role in the fields of computer-aided diagnosis and telemedicine. Due to the limited size and uneven annotation quality of the MVQA datasets, most existing methods rely on additional datasets for pre-training and use discriminant formulas to predict answers from a predefined set of labels. This approach makes the model prone to overfitting in low resource domains. To cope with the above problems, we propose an image-aware generative MVQA method based on image caption prompts. Firstly, we combine a dual visual feature extractor with a progressive bilinear attention interaction module to extract multi-level image features. Secondly, we propose an image caption prompt method to guide the model to better understand the image information. Finally, the image-aware generative model is used to generate answers. Experimental results show that our proposed method outperforms existing models on the MVQA task, realizing efficient visual feature extraction, as well as flexible and accurate answer outputs with small computational costs in low-resource domains. It is of great significance for achieving personalized precision medicine, reducing medical burden, and improving medical diagnosis efficiency.
Humans ; Image Processing, Computer-Assisted/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Telemedicine