Cargando…

Continuous learning in multiple sclerosis care: a qualitative study of the expanded learning model for systems

OBJECTIVES: This study characterized how an online continuing education activity affected knowledge, attitudes, and practices of healthcare professionals who care for patients with multiple sclerosis (MS) and whether those changes reflected theorized translational mechanisms proposed in The Expanded...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ravyn, Dana, Goodwin, Beth, Lowney, Rob
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	IJME 2019
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766394/ https://www.ncbi.nlm.nih.gov/pubmed/31256072 http://dx.doi.org/10.5116/ijme.5cfa.29cb

Ejemplares similares

Translating Clinical Research to Clinical Care in Nephrology: A Qualitative Study of Nephrology Clinicians
por: Ravyn, Dana, et al.
Publicado: (2022)

An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative Study
por: Zhang, Kai, et al.
Publicado: (2018)

Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis
por: Alves, Pedro, et al.
Publicado: (2022)

Expanding the learning health system model to be health literate
por: Rosen, Michael A, et al.
Publicado: (2022)

What can ecosystems learn? Expanding evolutionary ecology with learning theory
por: Power, Daniel A., et al.
Publicado: (2015)

Learning to learn to expand freedom in choices
por: Signoret, Carine
Publicado: (2013)

Expanded access to multiple sclerosis teleneurology care following the COVID-19 pandemic
por: McGinley, Marisa P, et al.
Publicado: (2021)

Erratum to: What can ecosystems learn? Expanding evolutionary ecology with learning theory
por: Power, Daniel A., et al.
Publicado: (2016)

Procedural Learning Improves Cognition in Multiple Sclerosis
por: Arroyo-Anlló, Eva M., et al.
Publicado: (2020)

An Interpretable Machine Learning Model to Predict Cortical Atrophy in Multiple Sclerosis
por: Conti, Allegra, et al.
Publicado: (2023)

Exemplary Care and Learning Sites: A Model for Achieving Continual Improvement in Care and Learning in the Clinical Setting
por: Headrick, Linda A., et al.
Publicado: (2016)

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities
por: Aslam, Nida, et al.
Publicado: (2022)

Continuous facial myokymia in multiple sclerosis
por: Clay, Jordan L., et al.
Publicado: (2020)

Causal Structure Learning in Continuous Systems
por: Davis, Zachary J., et al.
Publicado: (2020)

Machine Learning Use for Prognostic Purposes in Multiple Sclerosis
por: Seccia, Ruggiero, et al.
Publicado: (2021)

Machine learning aided classification of tremor in multiple sclerosis
por: Hossen, Abdulnasir, et al.
Publicado: (2022)

A Deep Learning Approach for Predicting Multiple Sclerosis
por: Ponce de Leon-Sanchez, Edgar Rafael, et al.
Publicado: (2023)

Infectious etiology in multiple sclerosis: the debate continues
por: González-Scarano, Francisco, et al.
Publicado: (1999)

Pandemic forward: Lessons learned and expert perspectives on multiple sclerosis care in the COVID-19 era
por: Nicholas, Jacqueline A., et al.
Publicado: (2021)

Prediction of disease progression and outcomes in multiple sclerosis with machine learning
por: Pinto, Mauro F., et al.
Publicado: (2020)

Multiple sclerosis and palliative care - perceptions of severely affected multiple sclerosis patients and their health professionals: a qualitative study
por: Golla, Heidrun, et al.
Publicado: (2014)

Student Continuity with Patients: A System Delivery Innovation to Benefit Patient Care and Learning (Continuity Patient Benefit)
por: Poncelet, Ann N., et al.
Publicado: (2015)

Building the learning health system: Describing an organizational infrastructure to support continuous learning
por: Kraft, Sally, et al.
Publicado: (2017)

Continual Deep Learning for Time Series Modeling
por: Ao, Sio-Iong, et al.
Publicado: (2023)

Learning Theory-Driven Tips for Designing Effective Learning Solutions for the Continuous Education of Community Pharmacists to Enhance Patient-Centered Care—A Qualitative Study
por: Cerbin-Koczorowska, Magdalena, et al.
Publicado: (2022)

The Effect of Continuous Care on the Lifestyle of Patients with Multiple Sclerosis: A Randomized Clinical Trial
por: Khodaveisi, Masoud, et al.
Publicado: (2017)

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis
por: Stepanov, Igor I., et al.
Publicado: (2012)

'Continuous learning is contagious'
por: Hylton, Preetee
Publicado: (2021)

Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods
por: Sun, Xiaoping, et al.
Publicado: (2022)

Continuous evolution of magnetic resonance imaging in multiple sclerosis
por: Tallantyre, E. C., et al.
Publicado: (2016)

Gray matter imaging in multiple sclerosis: what have we learned?
por: Hulst, Hanneke E, et al.
Publicado: (2011)

Exploration of machine learning techniques in predicting multiple sclerosis disease course
por: Zhao, Yijun, et al.
Publicado: (2017)

Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study
por: Zhao, Yijun, et al.
Publicado: (2020)

Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation Learning
por: Liu, Haijie, et al.
Publicado: (2020)

Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis
por: Brusini, Irene, et al.
Publicado: (2022)

Learning multiple sclerosis immunopathogenesis from anti-CD20 therapy
por: Heming, Michael, et al.
Publicado: (2023)

Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning
por: Liu, Dongnan, et al.
Publicado: (2023)

A survey and perspective on neuromorphic continual learning systems
por: Mishra, Richa, et al.
Publicado: (2023)

Clinical trials in systemic sclerosis: lessons learned and outcomes
por: Matucci-Cerinic, Marco, et al.
Publicado: (2007)

Informal Caregivers' Experiences of Caring of Multiple Sclerosis Patients: A Qualitative Study
por: Gafari, Somayeh, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_00u106nfbmf6v4horau5u76q5f