Optimizing the classification of specific whole-nutrient food for special medical purposes based on clinical needs: a core outcome set study

Autor: GONG Jie, MU Dongyu, HE Xiameng, LU Ying, LYU Yishu, SHI Lei, LIU Yuan, HU Wen
Jazyk: čínština
Rok vydání: 2024
Předmět:
Zdroj: Zhongguo shipin weisheng zazhi, Vol 36, Iss 2, Pp 190-198 (2024)
Druh dokumentu: article
ISSN: 1004-8456
DOI: 10.13590/j.cjfh.2024.02.013
Popis: ObjectiveTo provide a scientific basis for optimizing the registration and regulation, disease/medical states with a high clinical need for specific whole-nutrient foods for special medical purposes (FSMP-S) were identified.MethodsA core outcome set construction method was used in this study. A systematic review was conducted to determine the list of diseases/medical states that could be supported by FSMP-S. Then, a list of diseases/medical states with high clinical demand for FSMP-S was selected through the Delphi method and face-to-face consensus meetings, and optimization suggestions for classifying the FSMP-S were proposed.ResultsA total of 27 studies were identified, and 103 diseases/medical states with FSMP-S intervention were obtained from 5,984 papers in Chinese and English. Forty-seven physicians and dietitians from 3A hospitals participated in two rounds of Delphi surveys, after which 23 diseases/medical states were recognized as having high clinical demand for FSMP-S. The consensus meeting narrowed the scope of the FSMP-S to a high clinical need of 11 diseases/medical states. Finally, a “1+1” optimization strategy was proposed to add nutritional metabolic characteristics to the classification method for FSMP-S.ConclusionThe “1+1” strategy could optimize the classification of FSMP-S from the perspective of clinical application requirements; however, its feasibility remains undemonstrated.
Databáze: Directory of Open Access Journals