The aim was to evaluate a redesigned version of Telekit--a telehealth system developed for the Danish TeleCare North Trial. Telekit is used in the management of care in patients diagnosed with chronic obstructive pulmonary disease (COPD). This paper summarises the experience and the feedback received from six COPD-participants in terms of usability and satisfaction. Participants were asked to think-aloud while performing some system specific tasks. After each session, participants completed a post-test questionnaire. The think-aloud test was recorded, and notes from the tests were categorised and analysed. All tasks were completed by participants. Difficulties were observed concerning monitoring of measurements and use of the touchscreen. User feedback was mainly positive, and nearly all participants perceived Telekit as very easy to use. The study provides important insight regarding use of Telekit by patients suffering from a chronic illness and increased understanding about, how similar systems can more effectively be used in such home health initiatives.

Download full-text PDF

Source

Publication Analysis

Top Keywords

telehealth system
8
danish telecare
8
telecare north
8
north trial
8
user satisfaction
4
satisfaction experience
4
experience telehealth
4
system danish
4
trial think-aloud
4
think-aloud study
4

Similar Publications

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor's professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China.

View Article and Find Full Text PDF

Feasibility and acceptability of the delivery of a group telehealth intervention for support persons of patients receiving buprenorphine for opioid use disorder.

J Subst Use Addict Treat

January 2025

Stanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, 1070 Arastradero Road, Palo Alto, CA 94304, United States of America. Electronic address:

Background: Opioid-related overdoses increased substantially during the COVID-19 pandemic, eliciting an urgent demand for accessible treatment for individuals with opioid use disorder (OUD) and those who support them (support persons). Support persons can improve treatment initiation and retention in their individuals with OUD. Additionally, support persons may have their own mental health needs related to their loved one's OUD.

View Article and Find Full Text PDF

Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-tissue interaction forces. This limitation may lead to patient injury caused by the surgeon's mistakes. To improve the safety of retinal surgery, this paper proposes a haptic shared control framework for teleoperation based on a force-constrained supervisory controller.

View Article and Find Full Text PDF

Exacerbations of Chronic Obstructive Pulmonary Disease (COPD) have a substantial effect on overall disease management, health system costs, and patient outcomes. However, exacerbations are often underdiagnosed or recognized with great delay due to several factors such as patients' inability to differentiate between acute episodes and symptom fluctuations, delays in seeking medical assistance, and disparities in dyspnea perception. Self-management intervention plans, telehealth and smartphone-based programs provide educational material, counseling, virtual hospitals and telerehabilitation, and help COPD patients to identify exacerbations early.

View Article and Find Full Text PDF

Predictive machine learning models have made use of a variety of scoring systems to identify clinical deterioration in ICU patients. However, most of these scores include variables that are dependent on medical staff examining the patient. We present the development of a real-time prediction model using clinical variables that are digital and automatically generated for the early detection of patients at risk of deterioration.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!