摘要
目的 构建有关老年恶性淋巴瘤营养管理敏感质量指标体系,为评估临床营养管理质量提供客观可靠依据。 方法
以“结构-过程-结果”质量评估模型为体系构建的基础,辅以美国霍普金斯循证理论,通过文献检索、德尔菲法和层次分析法
确定老年恶性淋巴瘤营养管理敏感质量各项指标及权重。 结果 经过 2 轮专家(第 1 轮 28 名,第 2 轮 26 名)函询,有效问卷回
收率分别为 92. 9%、96. 2%,专家权威系数分别为 0. 852、0. 865,专家意见的肯德尔协调系数分别为 0. 387、0. 418,差异有统计
学意义(P<0. 05)。 最终构建了包括 3 项一级指标、8 项二级指标、20 项三级指标的老年恶性淋巴瘤营养管理敏感质量指标体
系。 结论 老年恶性淋巴瘤营养管理敏感质量指标体系科学、可靠且兼顾实用性,可为提升临床营养管理质量提供依据。
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.
关键词
老年 /
恶性淋巴瘤 /
营养管理 /
敏感指标 /
体系构建
徐 扬,邢双双,濮益琴.
老年恶性淋巴瘤营养管理敏感质量指标体系的构建[J]. 肿瘤代谢与营养电子杂志. 2023, 10(6): 792-798
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
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基金
江苏省自然科学基金青年基金项目(BK20160283)