Expert design thinking workshops to analyze users’ perceived applicability of NUTRI‑ONCOCARE algorithm to prevent and treat malnutrition in cancer patients under routine clinical practice conditions in Spain: the ALLIANCE study
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2023-09-01Resumen
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 endusers
(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.