Objective: to describe factors of influence of telenursing on naturalistic decision making about self-care of people with heart failure during COVID-19.
Method: this is a descriptive study with a qualitative approach, with 16 participants interviewed after hospitalization for decompensated heart failure. The data was collected using audio and video technology and submitted to content analysis, guided by the Situation-Specific Theory of Heart Failure Self-Care.
Result: two thematic categories emerged from the analysis: Self-care as a decision-making process and Factors influencing decision-making, which describe tele-nursing as a support resource for people with heart failure, during changes in care in the pandemic period.
Conclusion: it was possible to understand the relationship between telenursing and the establishment of a bond, in order to stimulate naturalistic decision-making by people with heart failure in their daily lives in a coherent way, leading to better health outcomes.
Highlights: (1) Different barriers compromise the decision-making of people with heart failure.(2) Nursing theories can guide coherent self-care attitudes.(3) Continuity of care and a support network are necessary after hospitalization.(4) Emotional support for people with heart failure must go hand in hand with conventional treatment.(5) The bond through tele-nursing provides positive health outcomes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11321188 | PMC |
http://dx.doi.org/10.1590/1518-8345.6975.4227 | DOI Listing |
Eur Heart J Cardiovasc Imaging
January 2025
Heart Institute, Department of Cardiology. Germans Trias i Pujol University Hospital, Barcelona,Spain.
Aims: To investigate the distribution of left atrioventricular coupling index (LACI) among patients with heart failure and left ventricular ejection fraction (LVEF)<50% and to explore its association with the combined endpoint of all-cause death or HF hospitalization at long term follow-up.
Methods And Results: Patients with HF and LVEF<50% undergoing cardiac magnetic resonance (CMR) were evaluated. Patients with atrial fibrillation or flutter were excluded.
Eur Heart J Cardiovasc Imaging
January 2025
Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
Background: Cardiac magnetic resonance (CMR) is essential for diagnosing cardiomyopathy, serving as the gold standard for assessing heart chamber volumes and tissue characterization. Hemodynamic forces (HDF) analysis, a novel approach using standard cine CMR images, estimates energy exchange between the left ventricular (LV) wall and blood. While prior research has focused on peak or mean longitudinal HDF values, this study aims to investigate whether unsupervised clustering of HDF curves can identify clinically significant patterns and stratify cardiovascular risk in non-ischemic LV cardiomyopathy (NILVC).
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau, China.
Rationale: Thrombotic microangiopathies (TMA) caused by malignant hypertension is an acute and critical disease among rare diseases. Although renal biopsy pathology is a golden indicator for diagnosing kidney disease, it cannot distinguish between primary and secondary TMA and requires a comprehensive diagnosis in conjunction with other laboratory tests and medical history.
Patient Concerns: A 33-year-old young man was hospitalized due to unexplained kidney failure.
Medicine (Baltimore)
January 2025
The First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
This study aimed to evaluate the causal effects of different immune cells on heart failure (HF) using Mendelian randomization (MR). Datasets for immune cell phenotypes and HF were obtained from European Bioinformatics Institute and FinnGen. Then, single nucleotide polymorphisms were screened according to the basic assumptions of MR.
View Article and Find Full Text PDFClin J Am Soc Nephrol
January 2025
Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!