Analysis of the Interactive Effects between Diagnosis-Intervention Packet and Pre-Hospitalization Mode
- VernacularTitle:按病种分值付费与预住院模式交互作用的效应分析
- Author:
Songsong TAN
1
;
Yun SHU
1
;
Jingjing WU
1
;
Yuanzheng WANG
1
;
Lisha SU
1
;
Song HE
1
;
Changhui LI
1
;
Yan ZHA
1
;
Daishun LIU
1
;
Jianguo ZHU
1
Author Information
1. 贵州省人民医院 贵州 贵阳 550002
- Publication Type:Journal Article
- Keywords:
Diagnosis-Intervention Packet;
pre-hospitalization mode;
interactive effect;
effect size
- From:
Chinese Hospital Management
2025;45(7):25-29
- CountryChina
- Language:Chinese
-
Abstract:
Objective Under the operation background of Diagnosis-Intervention Packet(DIP),whether there is interaction between reducing medical cost and average length of stay combined with pre-hospitalization mode,and whether there is difference between different departments and diseases in interaction.Methods Based on real-world data from 71 453 patients admitted to Guizhou Provincial People's Hospital from July to December 2021,a two-way analysis of variance was employed.When the interaction effect was statistically significant,parameter estimation was used to determine the magnitude and direction of the interaction effect,followed by subgroup analyses by department and disease.Results Without adjustment,both total medical costs and average length of stay exhibited a negative interaction effect(P＜0.05).Subgroup analyses revealed that in terms of total medical costs,the effect size for the surgical system was 0.18％,lower than that for the internal medicine system(0.70％);for core diseases,it was 6.62％,lower than that for comprehensive diseases(7.71％).Regarding average length of stay,the effect size for the surgical system was 0.55％,better than that for the internal medicine system(0.22％);for core diseases,it was 8.70％,higher than that for comprehensive diseases(2.90％).Conclusion The combination of DIP payment reform and pre-admission management model demonstrates a synergistic effect,effectively reducing patients' medical costs and length of stay.This effect is influenced by disease complexity and the standardization of diagnostic and treatment processes.
