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Analysis of Influencing Factors and Construction of Prediction Models of Artificial Joint Replacement in China

Knee Arthropathy Clinical Trial

Official title:
Analysis of Influencing Factors and Construction of Prediction Models of Artificial Joint Replacement in China

Clinical Trial Summary

The project intends to analyze the epidemiological characteristics, risk factors, complications and resource utilization of artificial joint replacement in China through the inpatient data collected by the Hospital Quality Monitoring System (HQMS). The HQMS database is a mandatory electronic inpatient database system developed by the National Health Commission of the People's Republic of China. Since 2013, tertiary hospitals have been required to upload their inpatient discharge records. By 2019, the HQMS database has included more than 230 million standardized inpatient discharge records of over 1000 hospitals across all 31 provincial-level administrative regions in mainland China. Patient demographics, clinical diagnosis, procedures and operations, drug use, costs and complications were all recorded in the HQMS database. The investigators planned to include five types of arthroplasty, including knee arthroplasty, hip arthroplasty, shoulder arthroplasty, ankle arthroplasty and elbow arthroplasty. The data analysis will be conformed to the principle of confidentiality and will not reveal the privacy of those patients. The data will be only used for this research project and there is no conflict of interest. It is in line with the principles of ethics, harmlessness and fairness. This study was authorized by the HQMS Committee Board and approved by the institutional review board, with waiver of informed consent.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05170321
Study type Observational
Source Xiangya Hospital of Central South University
Contact
Status Active, not recruiting
Phase
Start date January 1, 2018
Completion date December 1, 2022
View Details
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