Literature DB >> 27544014

[The challenge of clinical complexity in the 21st century: Could frailty indexes be the answer?]

Jordi Amblàs-Novellas1, Joan Espaulella-Panicot2, Marco Inzitari3, Lourdes Rexach4, Benito Fontecha5, Roman Romero-Ortuno6.   

Abstract

The number of older people with complex clinical conditions and complex care needs continues to increase in the population. This is presenting many challenges to healthcare professionals and healthcare systems. In the face of these challenges, approaches are required that are practical and feasible. The frailty paradigm may be an excellent opportunity to review and establish some of the principles of comprehensive Geriatric Assessment in specialties outside Geriatric Medicine. The assessment of frailty using Frailty Indexes provides an aid to the 'situational diagnosis' of complex clinical situations, and may help in tackling uncertainty in a person-centred approach.
Copyright © 2016 SEGG. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Clinical complexity; Complejidad clínica; Decision-making; Diagnóstico situacional; Fragilidad; Frailty; Frailty index; Situational diagnosis; Toma de decisiones; Índice de fragilidad

Mesh:

Year:  2016        PMID: 27544014     DOI: 10.1016/j.regg.2016.07.005

Source DB:  PubMed          Journal:  Rev Esp Geriatr Gerontol        ISSN: 0211-139X


  5 in total

1.  Frailty, what are we talking about? Implications for the daily clinical practice.

Authors:  Leocadio Rodríguez-Mañas; Jeremy D Walston
Journal:  Rev Esp Geriatr Gerontol       Date:  2017-06-07

2.  Frailty Related Factors as Predictors of Functional Recovery in Geriatric Rehabilitation: The Sarcopenia And Function in Aging Rehabilitation (SAFARI) Multi-Centric study.

Authors:  A Calle; G Onder; A Morandi; G Bellelli; E Ortolani; L M Pérez; M Mesas; A Sanniti; P Mazzanti; C N Platto; S Gentile; N Martinez; M Roquè; M Inzitari
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

3.  Real-World Data and Machine Learning to Predict Cardiac Amyloidosis.

Authors:  Elena García-García; Gracia María González-Romero; Encarna M Martín-Pérez; Enrique de Dios Zapata Cornejo; Gema Escobar-Aguilar; Marlon Félix Cárdenas Bonnet
Journal:  Int J Environ Res Public Health       Date:  2021-01-21       Impact factor: 3.390

4.  Assessing Face Validity of the HexCom Model for Capturing Complexity in Clinical Practice: A Delphi Study.

Authors:  Xavier Busquet-Duran; Eva Maria Jiménez-Zafra; Magda Tura-Poma; Olga Bosch-de la Rosa; Anna Moragas-Roca; Susana Martin-Moreno; Emilio Martínez-Losada; Silvia Crespo-Ramírez; Lola Lestón-Lado; Núria Salamero-Tura; Joana Llobera-Estrany; Núria Oriol-Peregrina; Eduard Moreno-Gabriel; Josep Maria Manresa-Domínguez; Pere Torán-Monserrat
Journal:  Healthcare (Basel)       Date:  2021-02-04

5.  A New Approach to the Identification of Palliative Care Needs and Advanced Chronic Patients among Nursing Home Residents.

Authors:  Ana A Esteban-Burgos; María José Lozano-Terrón; Daniel Puente-Fernandez; César Hueso-Montoro; Rafael Montoya-Juárez; María P García-Caro
Journal:  Int J Environ Res Public Health       Date:  2021-03-19       Impact factor: 3.390

  5 in total

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