The characteristics and influencing factors of medicine cost for orthopedic surgery patients in hospitals of Shanxi province
- VernacularTitle:山西省医院骨科手术患者药品费用的特征与影响因素研究
- Author:
Weipeng LI
1
,
2
;
Nan SHANG
2
;
Zhiqi ZHANG
2
;
Yun LI
2
;
Xiaojun ZHENG
2
Author Information
1. School of Pharmacy，Shanxi Medical University，Taiyuan 030001，China
2. Dept. of Pharmacy，First Hospital of Shanxi Medical University，Taiyuan 030001，China
- Publication Type:Journal Article
- Keywords:
Shanxi province;
orthopedic surgery;
medicine
- From:
China Pharmacy
2024;35(5):612-617
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To analyze the characteristics and influencing factors of medicine cost for orthopedic surgery patients in Shanxi province， and to provide reference for the rational management of medicine cost in orthopedic surgery patients. METHODS A retrospective analysis was conducted on the case information of 584 204 orthopedic surgery patients in Shanxi province from 2016 to 2021. Medicine cost was analyzed by year， region， hospital level， type of surgery and type of surgical incision. Single factor analysis and generalized linear regression model were used to analyze the influencing factors of total medicine cost， and structural equation model was used for verification. RESULTS The research findings indicated that joint replacement surgery （42.61%） and post-fracture external fixation surgery （12.60%） were the most common types of procedures. There was statistical significance in medicine cost for different surgical types among different regions and hospital levels （P＜0.05）. In the Jinzhong region， the total medicine cost for post-fracture external fixation surgery was the highest （[ 11 719.97±4 374.73） yuan]， while in tertiary grade A hospitals， the total medicine cost for post-fracture external fixation surgery was also the highest （[ 13 584.71±4 531.82） yuan]. Among class Ⅰ incision surgeries， the cost of antibiotics for post-fracture external fixation surgery was the highest （[ 1 176.25±341.42） yuan]. Generalized linear regression model revealed that hospital location， hospital level， gender， payment method， length of hospital stays， and surgical type were the independent influencing factors for total medicine cost （P＜0.05）. Structural equation model further disclosed that hospital level， payment type， and surgical type had significant effects on total medicine cost （P＜0.05）. CONCLUSIONS Attention should be paid to the high cost of antibiotics for class Ⅰ incision surgery， and further research on their rational use should be conducted.
