Objective: to develop an ICNP® terminology subset for the care of people with heart failure.

Methods: this is a methodological study, which used the theoretical framework of the Mid-Range Nursing Theory for Cardiovascular Rehabilitation, with the steps: Construction of nursing diagnoses/outcomes and interventions statements and Cross-mapping of statements constructed.

Results: forty-two diagnosis/outcome statements and 179 nursing intervention statements were constructed, organized based on five theory concepts, with a higher prevalence of statements related to "Rehabilitative care", "Psychosocial support for patients and families" and "Supervised cardiovascular rehabilitation program".

Final Considerations: it was possible to build nursing diagnosis/outcome and intervention statements for developing a terminology subset for the care of people with heart failure, based on the chosen theory.

Download full-text PDF

Source
http://dx.doi.org/10.1590/0034-7167-2021-0196DOI Listing

Publication Analysis

Top Keywords

terminology subset
12
subset care
12
care people
12
people heart
12
icnp® terminology
8
heart failure
8
cardiovascular rehabilitation
8
intervention statements
8
statements
6
failure objective
4

Similar Publications

Childhood idiopathic nephrotic syndrome: recent advancements shaping future guidelines.

Pediatr Nephrol

December 2024

Néphrologie Pédiatrique, Centre de Référence du Syndrome Néphrotique Idiopathique de L'enfant Et L'adulte, Hôpital Necker - Enfants Malades, APHP, Inserm U1163, Institut Imagine, Université Paris Cité, Paris, France.

Childhood idiopathic nephrotic syndrome is an important pediatric kidney disease associated with significant morbidities and even mortality. Several guidelines have been developed to standardize the terminology and patient care among the pediatric nephrology community. Since the publication of these guidelines, there have been major breakthroughs in the disease management and the understanding of underlying pathogenesis through multi-omics investigations, including the identification of anti-nephrin autoantibodies, genetic susceptibility loci, and the pathogenic role of B cell subsets.

View Article and Find Full Text PDF

Inaccurate communication in health sciences: The case of 'partial artemisinin resistance' for the treatment of malaria.

New Microbes New Infect

December 2024

Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, Location AMC, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, the Netherlands.

Background: Accurate scientific terminology is crucial in health sciences to avoid misinterpretations. The use of 'artemisinin resistance' to describe delayed parasite clearance may be inaccurately equated with full resistance, as is typically the case when 'resistance' is used with other pathogens, leading to potential confusion. In 2018, the World Health Organization (WHO) introduced 'partial artemisinin resistance' to more accurately reflect the delayed parasite clearance observed with artemisinin-based therapies.

View Article and Find Full Text PDF

Purpose: For structure-function research at the transition of aging to age-related macular degeneration, we refined the current consensus optical coherence tomography (OCT) nomenclature and evaluated a novel review software for investigational high-resolution OCT imaging (HR-OCT; <3 µm axial resolution).

Method: Volume electron microscopy, immunolocalizations, histology, and investigational devices informed a refined OCT nomenclature for a custom ImageJ-based review tool to assess retinal band visibility. We examined effects on retinal band visibility of automated real-time averaging (ART) 9 and 100 (11 eyes of 10 healthy young adults), aging (10 young vs 22 healthy aged), and age-related macular degeneration (AMD; 22 healthy aged, 17 early (e)AMD, 15 intermediate (i)AMD).

View Article and Find Full Text PDF

A Review of The Opportunities and Challenges with Large Language Models in Radiology: The Road Ahead.

AJNR Am J Neuroradiol

November 2024

Department of Radiology, Mayo Clinic, Jacksonville, 4500 San Pablo Road, Jacksonville, FL 55902, USA (N.S, A.A), Department of Nuclear Medicine, Sanjay Gandhi post graduate institute of medical science, Lucknow 226014, India, (MO), Department of Computer Science & Engineering Texas A&M University (T.Y), Department of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, USA (G.B).

In recent years, generative artificial intelligence (AI), particularly large language models (LLMs) and their multimodal counterparts, Multi-Modal Large Language Models (MM-LLMs), including Vision Language Models (VLMs), have generated considerable interest in the global AI discourse. LLMs, or pre-trained language models (such as ChatGPT, Med-PaLM, LLaMA, etc.), are neural network architectures trained on extensive text data, excelling in language comprehension and generation.

View Article and Find Full Text PDF

Background: An innovative New South Wales government funded statewide Cannabis Medicines Advisory Service (CMAS) operated between January 2018 and June 2022. The service provided comprehensive patient-specific and evidence-based information to support health professionals in prescribing and patient care decisions. This study aimed to describe real-world data collected by CMAS.

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!