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Support Care Cancer ; 31(9): 548, 2023 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-37656215

RESUMO

PURPOSE: NUTRI-ONCOCARE algorithm has been developed to identify and treat patients with solid tumors who are at risk of malnutrition. The present study is aimed at analyzing users' opinion about this new tool and at assessing whether it is perceived as useful to achieve the behavioral change required for a successful integration of nutritional assessment into routine cancer care. METHODS: Design thinking Double Diamond process was applied. A multidisciplinary team composed of ten potential end-users (four oncologists, three endocrinologists, one nutritionist, and two hospital pharmacists) participated in three different workshops aiming to analyze the different tasks included within the NUTRI-ONCOCARE algorithm. RESULTS: Users agreed on the need to perform nutritional assessment around cancer diagnosis and through the course of the disease using standardized tools included in hospital nutritional protocols and involving healthcare professionals with nutrition expertise. Nutritional evaluation and intervention should be individual and comprehensive, considering not only nutritional parameters but also patients' functional status. According to participants' opinion, the implementation of nutritional screening in routine clinical practice is limited by the lack of time and staff to conduct nutritional assessments, the low level of nutrition expert participation, and the poor support provided by hospital managers, which are often unaware of nutrition's impact in cancer care. CONCLUSIONS: Experts recognized the importance of considering nutritional status in cancer patients and identified the opportunity provided by the NUTRI-ONCOCARE algorithm for this purpose, as it meets main requirements for being used routinely in clinical practice.


Assuntos
Desnutrição , Neoplasias , Humanos , Estado Nutricional , Espanha , Avaliação Nutricional , Desnutrição/diagnóstico , Desnutrição/etiologia , Desnutrição/prevenção & controle , Neoplasias/complicações , Neoplasias/terapia , Algoritmos
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