Abstract:Objective To explore the feasibility of applying diagnosis-related groups (DRG) weights and related indicators in human resource management of cardiac nursing. Methods A total of 205 inpatients in the department of cardiology were randomly sampled, and the nursing workload of the included patients during hospitalization was measured.The information of patients′ consciousness state, radiography records, surgery records, complications or comorbidities, level of care on the first day of admission, ADL on admission, etc., were collected from electronic medical records.The data on the first page of patients′ medical chart were uploaded to Zhejiang Provincial Hospital Quality Management and Performance Evaluation Platform after discharge to obtain the weights of DRG and other information.The data were analyzed by Pearson or Spearman correlation analysis, and multiple linear regression. Results The median (P25,P75) time in cardiology patients was 337.85(279.44,452.09) min for direct nursing time during hospitalization, 362.46(229.97,584.15) min for indirect nursing time, and 702.76(518.55,1019.64) min for total nursing time.The DRG weights of patients ranged from 0.52 to 2.57(1.45±0.56).Univariate analysis showed that the natural logarithm values of direct nursing time, indirect nursing time and total nursing time were associated with complications or comorbidities, surgery, level of care on the first day of admission, and weights grading of DRG(P<0.05,P<0.01).The results of multiple linear regression analysis showed that the total nursing time was associated with DRG weights, level of care on the first day of admission, ADL values on admission, and complications or comorbidities (P<0.05,P<0.01), with DRG weights exerting the most sizable effect. Conclusion DRG weight is associated with nursing workload.DRG weight-included multivariate linear regression analysis can be used to predict nursing workload.This method provides a new perspective for nursing human resource management.