A5013724338- Chronic Obstructive Pulmonary Disease (COPD) Research
- Health and Wellbeing Research
- Health Literacy and Information Accessibility
- Chronic Disease Management Strategies
- Nursing Diagnosis and Documentation
- Asthma and respiratory diseases
- Mobile Health and mHealth Applications
- Family and Patient Care in Intensive Care Units
- Respiratory Support and Mechanisms
- Health, psychology, and well-being
- Palliative Care and End-of-Life Issues
- School Health and Nursing Education
- Childhood Cancer Survivors' Quality of Life
- Artificial Intelligence in Healthcare
- Health Promotion and Cardiovascular Prevention
- Human Health and Disease
- Pediatric health and respiratory diseases
- Obstructive Sleep Apnea Research
- Machine Learning and Data Classification
- Heart Rate Variability and Autonomic Control
- Data Stream Mining Techniques
- Delphi Technique in Research
Radboud University Medical Center
2010-2023
Radboud University Nijmegen
2010-2023
Community Care
2018
Background Many patients with chronic obstructive pulmonary disease (COPD) suffer from exacerbations, a worsening of their respiratory symptoms that warrants medical treatment. Exacerbations are often poorly recognized or managed by patients, leading to increased burden and health care costs. Objective This study aimed examine the effects smart mobile (mHealth) tool supports COPD in self-management exacerbations providing predictions early exacerbation onset timely treatment advice without...
The purposes of the study are to identify clinical phenotypes that reflect level adaptation disease and examine whether these respond differently treatment as usual (TAU) pulmonary rehabilitation (PR), latter with its strong emphasis on improving adaptation. Clusters were identified by a cluster analysis using data many subdomains four domains health status (HS) (physiological functioning, functional impairment, symptoms quality life) in 160 outpatients chronic obstructive (COPD) receiving...
Abstract COPD exacerbations are commonly quantified as rate per year. However, the total amount of time a patient suffers from may be stronger related to his or her disease burden than just counting exacerbation episodes. In this study, we examined relationship between frequency and exacerbation-free time, their associations with baseline characteristics health-related quality life. A 166 patients reported symptom changes during 12 months. Symptom-defined episodes were correlated number...
To support patients with COPD in their self-management of symptom worsening, we developed Adaptive Computerized Exacerbation Self-management Support (ACCESS), an innovative software application that provides automated treatment advice without the interference a health care professional. detection is based on 12 symptom-related yes-or-no questions and measurement peripheral capillary oxygen saturation (SpO2), forced expiratory volume one second (FEV1), body temperature. Automated decision...
Current tools for recording chronic obstructive pulmonary disease (COPD) exacerbations are limited and often lack validity testing. We assessed the of an automated telephonic exacerbation assessment system (TEXAS) compared its outcomes with existing tools. Over 12 months, 86 COPD patients (22.1% females; mean age 66.5 yrs; post-bronchodilator forced expiratory volume in 1 s 53.4% predicted) were called once every 2 weeks by TEXAS to record changes respiratory symptoms, unscheduled healthcare...
<b>Background:</b> COPD exacerbations are often poorly recognized or self-managed, leading to increased disease burden and healthcare utilisation. <b>Objective:</b> To examine the effects of a smart mHealth tool that detects early exacerbation onset directly provides treatment advices without interference professionals. <b>Methods:</b> In multicenter, pragmatic, two-arm randomized controlled trial participants used (intervention group) paper action plan (control when they experienced...
Poor adherence to COPD mobile health (mHealth) has been reported, but its association with exacerbation-related outcomes is unknown. We explored the effects of mHealth on exacerbation-free weeks and self-management behavior. also differences in self-efficacy stages grief between adherent non-adherent patients.We conducted secondary analyses using data from a recent randomized controlled trial (RCT) that compared (intervention) paper action plan (comparator) for exacerbation self-management....
<b><i>Background:</i></b> Exacerbations of chronic obstructive pulmonary disease (COPD) are held responsible for a decline in health status (HS). This may not apply equally to all exacerbations, because different definitions required quite illnesses. Selection and the sensitivity HS instrument affect results regarding impact exacerbations. Sensitivity new instrument, which covers more aspects, has yet been tested, with respect...
<b>Background:</b> Early recognition and prompt treatment may reduce exacerbations prevent complications in patients with COPD. However, many find it difficult to follow the instructions of written exacerbation action plans. To support more adequately we developed (i) a Bayesian network model predict risk (ii) an expert-based provide advice. We integrated both models application (ACCESS) for smartphone tablet. <b>Aim:</b> assess validity ACCESS, i.e. risk, examine relationship between...