Evidence map›Paper›PMID 41039003›Full record

ArticleScientific reports2025

Organization and delivery of medical services at the 19th Asian Games in Hangzhou China.

Yue Yang, Huiquan Jiang, Chenyang Zheng, Jian Pan, Li Zhu, Yijun Yuan, Yue Zhan, Zeyang Zhao, Xinwei Jiang, Lin Lyu and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yue YangInternational Healthcare Center, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310003, China.
Huiquan JiangMedical Department, Hangzhou Asian Games Organising Committee, Hangzhou, 310016, China.
Chenyang ZhengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
Jian PanEmergency Department, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310003, China.
Li ZhuHepatopancreatobiliary Surgery Department, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yijun YuanMedical Department, Hangzhou Asian Games Organising Committee, Hangzhou, 310016, China.
Yue ZhanEmergency Department, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310052, China.
Zeyang ZhaoInformation Department, Hangzhou Traditional Chinese Medicine Hospital, Hangzhou, 310007, China.
Xinwei JiangInternational VIP Centre, Sir Run Run Shaw Hospital, Affiliated with the Zhejiang University School of Medicine, Hangzhou, 310020, China.
Lin LyuInternational Exchange and Liaison Department, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Zhen JiangMessage Department, Zhejiang Provincial Hospital of Chinese Traditional Medicine, Hangzhou, 310063, China.
Haiqing XiangMedical Department, Hangzhou Asian Games Organising Committee, Hangzhou, 310016, China.
Jianjiang QiAffiliated Mental Health Center, Zhejiang University School of Medicine, Hangzhou, 310000, China. zjqjj@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the first Asian Games held after the COVID-19 pandemic, this study evaluates the dual challenges of managing routine sports injuries and illnesses alongside pandemic-specific protocols, including intelligent disease surveillance and hybrid medical systems. The transition from closed-loop to open events necessitated a novel approach to medical service planning, integrating real-time health monitoring and adaptive public health strategies. This study aimed to evaluate the effectiveness of medical services at the 19th Asian Games by analyzing injury/illness rates and emergency response efficiency. It also assessed the impact of post-pandemic protocols, such as hybrid healthcare systems and self-rehabilitation strategies for mild COVID-19 cases, on care delivery. The findings offer actionable insights to optimize medical resource allocation in future multisport events, ensuring preparedness for both routine healthcare demands and pandemic-related challenges. Medical services were provided for 33 days to all Games stakeholders. The Games introduced an integrated medical information system-Emergency Medical Support System (EMSS) and Asian Games Information System-Medical Department (AGIS-MED)-to enable real-time data sharing, standardized injury classification, and efficient emergency transfers. This cross-sectional study analyzed illness and injury patterns, medication usage, and the efficiency of medical response protocols during the 19th Asian Games (September 23-October 8, 2023). A total of 11,658 medical encounters were recorded, including 2368 injuries and 9290 illnesses. Among the 1870 athlete cases, 40.7% were injuries and 59.2% were illnesses, with an overall injury rate of 6.44 per 100 registered athletes. Contact sports such as wrestling, basketball, boxing, hockey, and athletics exhibited the highest injury rates. Emergency transfers were required in 349 cases, and 54 patients were hospitalized. Despite relaxed COVID-19 testing mandates, the Games reported zero outbreaks, demonstrating the effectiveness of self-rehabilitation strategies for mild cases. The integration of intelligent medical systems and dynamic medical resource allocation significantly enhanced emergency response efficiency. Our data-driven framework, including segregated hospital wards and optimized personnel distribution, reduced athlete hospitalization stays to 3 days (vs. the national average of 9.2 days), offering a replicable model for future large-scale sports events.

Indexed as

Athletic InjuriesCOVID-19Delivery of Health CareEmergency Medical ServicesAdultChinaCross-Sectional StudiesFemaleHumansMalePandemicsSARS-CoV-2Athlete healthEmergency treatmentLarge-scale sports eventMedical servicesPublic healthSports injuriesSports medicine

Identifiers

PMID41039003
PMCPMC12491434

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.