RESUMO
Objective To explore the case mixed method in diagnosis-related groups ( DRGs ) of patients with cervical cancer in Nantong and to provide references for standard hospitalization expense of cervical cancer. Methods 8610 patients with cervical cancer from Nantong Tumor Hospital from 2006 to 2013 were selected for the study. The influencing factors of hospitalization expenses were screened by multiple liner regression. DRGs case mix scheme was established by Chi-squared automatic interaction dtector in the decision tree model. Results The mean hospitalization expense was 11363 yuan and the median was 9325 yuan. The influencing factors included admitting pathways, complications, therapeutic methods and prognosis of diseases. The cases of 8610 formed 11 DRGs combinations, with the corresponding hospitalization expense standards. Conclusions Case-mix diagnosis related groups are reasonable. The standards and related weights of hospitalization expenses could serve references for hospitals and medical insurance institutions.
RESUMO
Objective To explore the case mixed method in diagnosis-related groups ( DRGs ) of patients with cervical cancer in Nantong and to provide references for standard hospitalization expense of cervical cancer. Methods 8610 patients with cervical cancer from Nantong Tumor Hospital from 2006 to 2013 were selected for the study. The influencing factors of hospitalization expenses were screened by multiple liner regression. DRGs case mix scheme was established by Chi-squared automatic interaction dtector in the decision tree model. Results The mean hospitalization expense was 11363 yuan and the median was 9325 yuan. The influencing factors included admitting pathways, complications, therapeutic methods and prognosis of diseases. The cases of 8610 formed 11 DRGs combinations, with the corresponding hospitalization expense standards. Conclusions Case-mix diagnosis related groups are reasonable. The standards and related weights of hospitalization expenses could serve references for hospitals and medical insurance institutions.