Background: Approximately 30% of patients with atrial fibrillation suffer from depression. Depression in patients with atrial fibrillation is associated with poor health outcomes, reduced health-related quality of life, and elevated societal costs. Preventing depression in this population may therefore lead to better health outcomes for the individual patient and reduced burden on society. Online psychological interventions are innovative and evidence-based modes of healthcare delivery. The objective was-through a user-centered design-to develop a personalized online psychological intervention aiming at preventing depression in patients with atrial fibrillation.
Methods: Guided by the Intervention Mapping framework for the development of complex interventions, we used a qualitative design and conducted a series of collaborative workshops with patients (n = 8) with atrial fibrillation.
Results: Through intensive collaboration, we developed the HOPE-AF intervention targeting nine risk factors for depression that were meaningful to patients. It contains four basic modules that give effective tools to handle daily psychological struggles. Furthermore, patients will receive personal risk factors modules. The evidence-based psychological methodology was applied to all modules. Primary lessons learned were (1) engaging patients from the start to ensure the intervention becomes meaningful; (2) using positive phrasing in all patient-related materials to promote motivation; (3) incorporating patients' choice of preference where possible to personalize the intervention.
Conclusion: Based on a user-centered design, the HOPE-AF intervention aiming to prevent depression in patients with AF, was developed. It was confirmed that it is crucial to engage end-users in the development of complex interventions to accommodate their needs and preferences. The Hope-AF intervention will now be tested in a feasibility study.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1186/s40814-024-01586-1 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11702102 | PMC |
J Neurol Sci
December 2024
Heart and Brain Research Group, Kerckhoff Heart and Thorax Center, Bad Nauheim, Germany; Department of Neurology, University Hospital Giessen and Marburg, Giessen, Germany.
Background: White matter lesions and subclinical cerebral ischemia (SCI) are described as risk factors for postoperative cognitive decline (POCD) following cardiac surgery. This report aims to investigate the effect of brain lesions on postoperative cognitive training outcomes.
Methods: In a randomized, treatment-as-usual controlled trial, elderly patients scheduled for elective heart valve surgery participated.
Best Pract Res Clin Anaesthesiol
March 2024
Department of Anesthesiology, Columbia University, 622 W 168th St, New York, 10032, NY, United States. Electronic address:
Effective pain control is crucial in the management of thoracic surgical patients since it reduces postoperative morbidity and promotes recovery. These patients have co-existing respiratory diseases and impaired pulmonary function, which may be further impaired by surgery. With the adoption of minimally invasive surgical techniques and an emphasis on enhancing recovery after surgery, multimodal analgesia has gained popularity as a way to reduce perioperative opioid use and its associated adverse events such as respiratory depression.
View Article and Find Full Text PDFBest Pract Res Clin Anaesthesiol
September 2024
Department of Anesthesiology, University Hospital Basel, Basel, Switzerland.
The issue of obesity continues to reach new levels globally, affecting individuals across the age continuum. Obesity in pregnancy is associated with myriad comorbidities which may negatively impact the fetus, particularly dysfunctional labor and failure to progress ending in unplanned cesarean delivery. Neuraxial anesthesia represents the gold standard for cesarean delivery anesthesia and is increasingly beneficial for obese patients due to the risk of difficult airway.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!