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Application of decision tree method in evaluation of nursing quality / 中华医院管理杂志
Chinese Journal of Hospital Administration ; (12): 517-520, 2013.
Artículo en Chino | WPRIM | ID: wpr-437115
ABSTRACT
Objective To establish a reasonable method to evaluate nursing quality with both the quantity and quality of nursing taken into account.Methods Quantity indexes of nursing were analyzed with decision tree method (CHAID)in SPSS18.0,which included the number of patients admitted to wards,first grade' s nursing days,critically ill patients,emergencies,operations,intravenous infusions,intramuscular injections,oxygen inhalations,urinary tract catheterizations,gastric tube catheterizations,enemas and the average turnover rate of beds.After the quantity analysis,the nursing units were divided into different groups according to their workload.Then,we made a comprehensive evaluation of nursing quality with 12 indicators on the same group.Results Decision tree analysis can identify hierarchy relationship of various nursing quantity indicators and high-priority work quantity variables.Furthermore,it can establish the hierarchical rule based on the distribution of high-priority variables,and serve the purpose of classifying nursing units based on nursing workload.Conclusion The decision tree method can provide a same-level nursing workload platform for quality examination.This has minimized the influence of nursing workload discrepancies on nursing quality examination,and made nursing quality more comparable with nursing workload units of the same level,thus a scientific method for comprehensive nursing quality evaluation.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Evaluación Económica en Salud / Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Hospital Administration Año: 2013 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Evaluación Económica en Salud / Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Hospital Administration Año: 2013 Tipo del documento: Artículo