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The construction of electronic intelligent kanban for general ward nursing based on Delphi method / 中国实用护理杂志
Chinese Journal of Practical Nursing ; (36): 1022-1027, 2023.
Artigo em Chinês | WPRIM | ID: wpr-990289
ABSTRACT

Objective:

Based on the Delphi method, the electronic intelligent kanban system for general ward nursing was constructed, and its clinical application was studied.

Methods:

This study was the quasi experimental research, 39 nursing staff working in the experimental ward of electronic intelligent kanban in general surgery of Zhongshan Hospital Fudan University in November 2021 and November 2022 were selected, Delphi expert consultation was used to develop the menus and detailed contents of general ward nursing electronic intelligent kanban system, and it was used in clinical practice. We used the Chinese version of the Nursing Assessment of Shift Report to evaluate the effect of nursing staff before and after the application.

Results:

The authority coefficients of the two rounds of expert consultation were 0.868 and 0.886 respectively, and the Kendall coordination coefficients of expert consultation were 0.068 and 0.076 respectively (all P<0.01). Finally, the electronic intelligent kanban consisted of 4 first-level menus, 8 second-level menus and 13 third-level menus. After the application of electronic intelligent kanban, the score of Nursing Assessment of Shift Report increased from (79.62 ± 7.64) to (83.51 ± 2.47), with a statistically significant difference ( t=-3.03, P<0.05).

Conclusions:

The constructed nursing electronic intelligent kanban system was scientific and reliable, which will be beneficial to improve the the effect of nurse shift handover.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Practical Nursing Ano de publicação: 2023 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Practical Nursing Ano de publicação: 2023 Tipo de documento: Artigo