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Chinese Sports Injury Treatment Situation and Development Trend of Big Data Research

Big Data Research on the Current Situation and Development Trend of Sports Injury Treatment in China

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04946422
Enrollment
10000
Registered
2021-06-30
Start date
2013-01-31
Completion date
2021-12-31
Last updated
2021-07-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sports Injury

Brief summary

This project is planned to be based on the medical insurance database collected by the China Health Insurance Research Association (CHIRA). As a national academic research institution, CHIRA collects medical insurance patient data, covering more than 20 provinces across the country. The data of more than 60 municipalities, provincial capitals, and prefecture-level cities are unique and authoritative in my country. Based on the CHIRA database, big data analysis for Chinese sports medicine patients, starting from the names of medical institutions, admission/discharge diagnosis and classification of medical items, etc., to investigate the development trend of arthroscopic surgery in China and understand my country's arthroscopic diseases The distribution characteristics and changing trends of the quantity.

Detailed description

Sports medicine is a multidisciplinary comprehensive discipline, and is positioned as a secondary discipline in the country. It is a clinical application-based discipline that combines medicine and sports to solve sports-related diseases from a medical perspective. The treatment range is centered on the joints. The main treatment method is arthroscopic technology to solve sports-related injuries. Together with postoperative rehabilitation, the goal is to achieve the greatest recovery of motor function. This project is planned to be based on the medical insurance database collected by the China Health Insurance Research Association (CHIRA). As a national academic research institution, CHIRA collects medical insurance patient data, covering more than 20 provinces across the country. The data of more than 60 municipalities, provincial capitals, and prefecture-level cities are unique and authoritative in my country. Based on the CHIRA database, big data analysis for Chinese sports medicine patients, starting from the names of medical institutions, admission/discharge diagnosis and classification of medical items, etc., to investigate the development trend of arthroscopic surgery in China and understand my country's arthroscopic diseases The distribution characteristics and changing trends of the quantity.

Interventions

PROCEDUREArthroscopy

Discharge diagnosis of patients with sports injury-related injuries

Sponsors

Peking University Third Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

1. Discharge diagnosis of patients with sports injury-related injuries (ICD codes are M12, M13, M15-M19, M20-M25, M65-67, M70, M71, M75, M76, M94 and S33, S40, S43, S46, S51, S53, S63, S8, S73, S93) 2. Patients whose service item name in the detailed database contains the keyword arthroscope. Any one of the above will be included in this topic.

Exclusion criteria

1. After the data is cleaned, it does not meet the requirements of sports injury patients; 2. The data content contains obvious defects and cannot be backfilled.

Design outcomes

Primary

MeasureTime frameDescription
Use of arthroscopy2013-2017Calculate the use rate of arthroscopy for various types of sports injuries (arthroscope use rate = number of patients with various types of sports injuries who use arthroscopy/total number of visits for this type of injury) , Get a list of the usage rate of arthroscopy for various sports injuries.

Countries

China

Contacts

Primary Contactjiakuo yu
yujiakuo@126.com

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026