Construction of sensitive quality index system for nutritional management of elderly malignant lymphoma

Xu Yang, Xing Shuangshuang, Pu Yiqin

Electronic Journal of Metabolism and Nutrition of Cancer ›› 2023, Vol. 10 ›› Issue (6) : 792-798.

PDF(933 KB)
PDF(933 KB)
Electronic Journal of Metabolism and Nutrition of Cancer ›› 2023, Vol. 10 ›› Issue (6) : 792-798.

Construction of sensitive quality index system for nutritional management of elderly malignant lymphoma

  • Xu Yang, Xing Shuangshuang, Pu Yiqin
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Abstract

Objective To construct a sensitive quality index system for nutrition management of elderly malignant lymphoma and provide an objective and reliable basis for evaluating the quality of clinical nutrition management. Methods The " structure - process- result " quality assessment model was used as the basis of system construction supplemented by American Hopkins evidence-based theory through literature search Delphi method and analytic hierarchy process were used to determine the sensitive quality indexes and weights of nutritional management of elderly malignant lymphoma. Results After 2 rounds of expert letter inquiries round 1 n = 28 round 2 n = 26 the effective questionnaire recovery rates were 92. 9% and 96. 2% respectively the expert authority coefficients were 0. 852 and 0. 865 and the Kendall coordination coefficients of expert opinions were 0387 and 0. 418 respectively. The difference was statistically significant P< 0. 05 . Finally a sensitive quality index system for elderly malignant lymphoma nutrition management was constructed including 3 first-level indicators 8 second-level indicators and 20 third-level indicators. Conclusion The sensitive quality index system of nutrition management for elderly malignant lymphoma is scientific reliable and practical which provides a basis for improving the quality of clinical nutrition management.

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Xu Yang, Xing Shuangshuang, Pu Yiqin. Construction of sensitive quality index system for nutritional management of elderly malignant lymphoma[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2023, 10(6): 792-798
PDF(933 KB)

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