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PyeongChang 2018 Winter Olympic Games and athletes’ usage of ‘polyclinic’ medical services
  1. Doo-Sup Kim1,2,
  2. Young-Hee Lee2,3,
  3. Keum Seok Bae4,5,
  4. Goo Hyun Baek6,
  5. Sae Yong Lee2,7,
  6. Hongjin Shim4,5,
  7. Myoung Gi On1,2,
  8. Sandy Jeong Yeon Rhie2,8
  1. 1Orthopaedic Surgery, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea
  2. 2Yonsei Institute of Sports Science and Exercise Medicine (YISSEM), Wonju, Republic of Korea
  3. 3Rehabilitation Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea
  4. 4Surgery, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
  5. 5Trauma Center, Wonju Severance Christian Hospital, Wonju, Republic of Korea
  6. 6Orthopedic Surgery, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
  7. 7Physical Education, Yonsei University, Seoul, Republic of Korea
  8. 8College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
  1. Correspondence to Dr Doo-Sup Kim; dskim1974{at}


Objective This paper aims to describe the medical service of two polyclinics of the PyeongChang Winter Olympic Games and to analyse the injury and illness of athletes who visited the polyclinics during the oilympic period in order to provide some insight with respect to the future construction and operation of polyclinics in mass gathering events such as the Olympic Games.

Methods The PyeongChang Olympic Village was located near the Olympic Stadium for snow sports athletes and the Gangneung Olympic Village was located near the ice venues for ice sports athletes. During the Olympic Games, polyclinics were consisted of emergency service and outpatient clinics. We retrospectively analysed the electronic medical record data of athletes who visiting polyclinics between 9 February 2018 and 25 February 2018.

Results During the Olympics, there were 1639 athlete encounters in both polyclinics. Among those, injuries of athletes were 237 (14% of all athlete encounters) in total, and the most common injured site was knee joint. Upper respiratory infection was the most frequent case in diseases of athlete encounters. Total 223 cases of image study were done, MRI was 44 cases.

Conclusion The PyeongChang Winter Olympic Games had the highest number of participants in the history of Winter Olympic Games. Overall 48% of athletes encountered polyclinics due to disease during the Games period. Upper respiratory infection and other seasonal diseases were more frequent this Olympic Games than before. Polyclinics were managed healthcare of athletes as well as injury and illness of athletes. In winter sports, a polyclinic and similar medical facilities should be prepare for diseases considering geography, weather as well as injuries and endemic diseases when planning future mass gathering events.

  • # polyclinic
  • # pyeongchang winter olympic games
  • # retrospective study

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  • Contributors D-SK organied and wrote the paper. Y-HL was responsible for the communication between the authors and finalising and confirming the data. KSB took over the PyeongChang polyclinic data. GHB took over the Gangneung polyclinic data. SYL was responsible for statistical analysis. HS was responsible for emergency and trauma data. MGO was responsible for outpatient clinic and image study data. SJYR was responsible for pharmacy data.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests These authors, there immediate family and research foundation with which they are affiliated did not receive any financial payments or other benefits from any commercial entity related to the subject of this article.

  • Patient consent for publication Not required.

  • Ethics approval The study was approved by the research ethics committee of the Wonju College of Medicine, Yonsei University (approval no. CR318001).

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available in a public, open access repository. All data relevant to the study are included in the article or uploaded as online supplementary information.

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