Abstract: Background: Chronic obstructive pulmonary disease (COPD) and asthma have a high prevalence and disease burden. Blended self-management interventions, which combine eHealth with face-to-face interventions, can help reduce the disease burden. Objective: This systematic review and meta-analysis aims to examine the effectiveness of blended self-management interventions on health-related effectiveness and process outcomes for people with COPD or asthma. Methods: PubMed, Web of Science, COCHRANE Library, Emcare, and Embase were searched in December 2018 and updated in November 2020. Study quality was assessed using the Cochrane risk of bias (ROB) 2 tool and the Grading of Recommendations, Assessment, Development, and Evaluation. Results: A total of 15 COPD and 7 asthma randomized controlled trials were included in this study. The meta-analysis of COPD studies found that the blended intervention showed a small improvement in exercise capacity (standardized mean difference [SMD] 0.48; 95% CI 0.10-0.85) and a significant improvement in the quality of life (QoL; SMD 0.81; 95% CI 0.11-1.51). Blended intervention also reduced the admission rate (relative ratio [RR] 0.61; 95% CI 0.38-0.97). In the COPD systematic review, regarding the exacerbation frequency, both studies found that the intervention reduced exacerbation frequency (RR 0.38; 95% CI 0.26-0.56). A large effect was found on BMI (d=0.81; 95% CI 0.25-1.34); however, the effect was inconclusive because only 1 study was included. Regarding medication adherence, 2 of 3 studies found a moderate effect (d=0.73; 95% CI 0.50-0.96), and 1 study reported a mixed effect. Regarding self-management ability, 1 study reported a large effect (d=1.15; 95% CI 0.66-1.62), and no effect was reported in that study. No effect was found on other process outcomes. The meta-analysis of asthma studies found that blended intervention had a small improvement in lung function (SMD 0.40; 95% CI 0.18-0.62) and QoL (SMD 0.36; 95% CI 0.21-0.50) and a moderate improvement in asthma control (SMD 0.67; 95% CI 0.40-0.93). A large effect was found on BMI (d=1.42; 95% CI 0.28-2.42) and exercise capacity (d=1.50; 95% CI 0.35-2.50); however, 1 study was included per outcome. There was no effect on other outcomes. Furthermore, the majority of the 22 studies showed some concerns about the ROB, and the quality of evidence varied. Conclusions: In patients with COPD, the blended self-management interventions had mixed effects on health-related outcomes, with the strongest evidence found for exercise capacity, QoL, and admission rate. Furthermore, the review suggested that the interventions resulted in small effects on lung function and QoL and a moderate effect on asthma control in patients with asthma. There is some evidence for the effectiveness of blended self-management interventions for patients with COPD and asthma; however, more research is needed. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019119894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=119894
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This open access book is a valuable resource for students in health and other professions and practicing professionals interested in supporting effective change in self-management behaviors in chronic disease, such as medication taking, physical activity and healthy eating. Developed under the auspices of the Train4Health project, funded by the Erasmus+ program of the European Union, the book contains six chapters written by international contributors from different disciplines. This chapter sets the stage for the remaining book, by introducing the Train4Health project and by explaining how the learning outcomes presented in subsequent chapters have been derived and linked with content of the book. Firstly, the Train4Health interprofessional competency framework to support behaviour change in persons self-managing chronic disease is briefly presented. This European competency framework was the starting point for developing the learning outcomes-based curriculum, which is succinctly addressed in the subsequent section. Finally, practical considerations about the Train4Health curriculum are discussed, including opportunities and challenges for interprofessional education.
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Chronic diseases represent a significant burden for the society and health systems; addressing this burden is a key goal of the European Union policy. Health and other professionals are expected to deliver behaviour change support to persons with chronic disease. A skill gap in behaviour change support has been identified, and there is room for improvement. Train4Health is a strategic partnership involving seven European Institutions in five countries, which seeks to improve behaviour change support competencies for the self-management of chronic disease. The project envisages a continuum in behaviour change support education, in which an interprofessional competency framework, relevant for those currently practising, guides the development of a learning outcomes-based curriculum and an educational package for future professionals (today’s undergraduate students).
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Multiple sclerosis (MS) is a severe inflammatory condition of the central nervous system (CNS) affecting about 2.5 million people globally. It is more common in females, usually diagnosed in their 30s and 40s, and can shorten life expectancy by 5 to 10 years. While MS is rarely fatal; its effects on a person's life can be profound, which signifies comprehensive management and support. Most studies regarding MS focus on how lymphocytes and other immune cells are involved in the disease. However, little attention has been given to red blood cells (erythrocytes), which might also be important in developing MS. Artificial intelligence (AI) has shown significant potential in medical imaging for analyzing blood cells, enabling accurate and efficient diagnosis of various conditions through automated image analysis. The project aims to implement an AI pipeline based on Deep Learning (DL) algorithms (e.g., Transfer Learning approach) to classify MS and Healthy Blood cells.
Inhalation therapy is essential for the management of respiratory conditions such as asthma and chronic obstructive pulmonary disease. However, current inhalation systems face limitations, including polydisperse aerosols that reduce drug delivery efficiency and complex treatment regimens that affect patient adherence. To improve drug targeting and efficacy, Gilbert Innovation B.V. is developing a next-generation soft-mist inhaler based on electrohydrodynamic atomization (EHDA), which produces uniform micrometer sized droplets. Effective drug delivery requires high flow rates and precise aerosol discharge to ensure deep lung deposition while minimizing losses to the device and oropharynx. To achieve this, the device employs a multi-nozzle system for increased flow and corona discharge needles for charge neutralization. However, ensuring uniform neutralization across multiple nozzles and maintaining stable electrospray operation remain key challenges. COSMIC aims to increase system robustness by optimizing neutralization efficiency, refining material selection, and controlling electrospray stability under varying conditions. The electrospray control system will incorporate advanced strategies leveraging computer vision, machine learning and big data analytics. These innovations will increase efficiency, accessibility and patient comfort in inhalation therapy.
In Nederland lijden 1,4 miljoen mensen aan hart- en vaatziekten. Dit aantal zal oplopen tot 1,9 miljoen in 20301. Hevige of langdurige stress is een belangrijk risicofactor voor hart- en vaatproblemen. Cardiologen hebben vastgesteld dat omgaan met stress nu als een belangrijk onderdeel van de behandeling wordt beschouwd. Stressmanagement en het verlagen van stress zijn cruciaal voor hartpatiënten, voornamelijk bij specifieke groepen waaronder Ischemia and Non Obstructive Coronary Artery Disease (INOCA). In tegenstelling tot het klassieke beeld van obstructief coronarialijden zijn er bij INOCA-patiënten geen significante obstructies aanwezig en worden klachten medebepaald door spasme en vasculaire disfunctie van de grote en kleinere kransvaten. INOCA Uit verschillende onderzoeken komt naar voren dat muziek kan helpen bij het verlagen van stress en pijn.2 3 Echter is de invulling en de impact van sound therapie, waaronder het reductiegehalte van stress, bij hartpatiënten in de eigen leefomgeving nog onvoldoende onderzocht. Binnen het project HARMONIES – stressreductie met muziek voor INOCA-patiënten, is daarom de volgende onderzoeksvraag in samenwerking met de projectpartners en cardiologen vastgelegd: Hoe kan de toepassing van sound therapie in de eigen leefomgeving bijdragen aan het reduceren van stress bij INOCA-patiënten en wat is de impact hiervan op slaap? Het consortium heeft als doel om INOCA-patiënten, die vaak geen hartrevalidatie krijgen, te helpen met het reduceren van stress in de eigen leefomgeving. Door middel van sound therapie in combinatie met biofeedback kan er een gepersonaliseerde oplossing worden aangeboden aan individuele patiënten die leiden aan deze chronische ziekte. Door in te spelen op het verminderen van de stress in de eigen leefomgeving, wordt de behandeling van de chronische ziekte bevorderd en draagt dit bij aan het vergroten van de kwaliteit van leven. Door in te spelen op het verminderen/voorkomen van stress, zal dit ook bijdragen aan preventie en de druk op ziekenhuiszorg.