A5035586006- Mobile Health and mHealth Applications
- Electronic Health Records Systems
- Telemedicine and Telehealth Implementation
- Safety Warnings and Signage
- Stroke Rehabilitation and Recovery
- Technology Use by Older Adults
- Health Literacy and Information Accessibility
- Digital Mental Health Interventions
- Technology Adoption and User Behaviour
- Virtual Reality Applications and Impacts
- Human-Automation Interaction and Safety
- Patient Safety and Medication Errors
- Healthcare Technology and Patient Monitoring
- Nutrition and Health in Aging
- Behavioral Health and Interventions
- Health Policy Implementation Science
- Knee injuries and reconstruction techniques
- Patient Satisfaction in Healthcare
- Diabetes Management and Education
- Body Composition Measurement Techniques
- Musculoskeletal pain and rehabilitation
- Color perception and design
- Health Systems, Economic Evaluations, Quality of Life
- Data Quality and Management
- Osteoarthritis Treatment and Mechanisms
University of Hong Kong
2016-2025
City University of Hong Kong
2009-2024
Hospital Authority
2019
University of California, Santa Barbara
2014
University of Wisconsin–Madison
2006-2008
With the advent of personal health records and other patient-focused technologies, there is a growing need to better understand factors that contribute acceptance use such innovations. In this study, we employed Unified Theory Acceptance Use Technology as basis for determining what predicts patients' (measured by behavioral intention) perceived effective web-based, interactive self-management innovation among home care patients.
The issue of long patient waits has attracted increasing public attention due to the negative effects waiting on patients’ satisfaction with health care. present study examined associations between actual time, perceived acceptability service visit duration, and level We conducted a cross-sectional time questionnaire survey endocrinology outpatients visiting major teaching hospital in China. Our results show that was negatively associated regarding several aspects care they received. Also,...
Patients with coexisting type 2 diabetes and hypertension generally exhibit poor adherence to self-management, which adversely affects their disease control. Therefore, identification of the factors related patient is warranted. In this study, we aimed examine (i) socio-demographic correlates a set self-management behaviors relevant hypertension, namely, medication therapy, diet exercise, tobacco alcohol avoidance, stress reduction, self-monitoring/self-care, (ii) whether health attitudes...
Smartphone-based psychoeducation interventions may be a low-cost, user-friendly alternative to resource-consuming, face-to-face antenatal classes educate expectant mothers.This study aimed empirically examine whether such an intervention would lead reduced postnatal depression, anxiety, or stress and result in better health-related quality of life.A single-blind randomized controlled trial was conducted Hong Kong. All first-time mothers with less than 24 weeks gestation remaining attending...
The research aimed at developing a non-intrusive physiological measure for mental workload using human facial skin temperature change. It demonstrated initial results in two driving experiments that showed the potential of this parameter to infer workload. Participants completed tests simulator first experiment. Results and real vehicle testing were used second Forehead nose obtained via thermography. Nose dropped significantly after drives all conditions tests. A secondary task during led...
Usability can influence patients' acceptance and adoption of a health information technology. However, little research has been conducted to study the usability self-management care system, especially one geared toward elderly patients.This evaluated new computer-based system interface for older adults with chronic diseases, using paper prototype approach.Fifty different diseases participated. Two evaluation methods were involved: (1) heuristics (2) end-user testing think-aloud method, audio...
Mobile health apps have changed the way people obtain information and services advance their understanding management of health. Although many are available, little is known about prevalence use for different purposes, whether such associated with demographic characteristics, impacts on knowledge management.The main objectives this study were to examine prevalence, extent, correlates app perceived increased improved condition management.We conducted a cross-sectional questionnaire survey 633...
This study tested a structural model examining the effects of perceived usefulness, ease use, attitude, subjective norm, behavioral control, health consciousness, and application-specific self-efficacy on acceptance (i.e. intention actual usage) computer-based chronic disease self-monitoring system among patients with type 2 diabetes mellitus and/or hypertension. The was using partial least squares equation modeling, 119 observations that were obtained by pooling data across three time...
Background Technological surrogate nursing (TSN) derives from the idea that nurse-caregiver substitutes can be created by technology to support chronic disease self-care. Objective This paper begins arguing TSN is a useful and viable approach The analysis then focuses on empirical research question of testing demonstrating effectiveness safety prototype supplied patients with typical complex coexisting type 2 diabetes hypertension. At policy level, it shown data allow for calibration...
Background With substantial resources allocated to develop virtual reality (VR)–based rehabilitation exercise programs for poststroke motor rehabilitation, it is important understand how patients with stroke perceive these technology-driven approaches, as their perceptions can determine acceptance and adherence. Objective This study aimed examine the of regarding an immersive VR-based system developed deliver shoulder, elbow, forearm, wrist, reaching exercises. Methods A questionnaire was...
Sarcopenia, an age‐related syndrome characterized by muscle mass and function loss, significantly impacts the quality of life in older adults. A machine learning approach using micro inertial measurement units (μIMUs) for noninvasive sarcopenia‐prone screening through a single sit‐to‐stand (1STS) test is developed. The study involves 53 participants (65–84 years), each wearing two IMUs, i.e., one on thigh waist. 1STS motion divided into four phases extract 510 features from collected data....