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Influencing Factors of Delayed Diagnosis of COVID-19 in Gangwon, South Korea

Author

Listed:
  • Minhye Park

    (Infectious Disease Control Division, Gangwon State Government, Chuncheon 25425, Gangwon, Republic of Korea)

  • Seungmin Jeong

    (Gangwon State Center for Infectious Diseases (Affiliated to Korea Disease Control and Prevention Agency and, Gangwon State Government), Chuncheon 24280, Gangwon, Republic of Korea
    Department of Preventive Medicine, Kangwon National University Hospital, Chuncheon 24289, Gangwon, Republic of Korea)

  • Yangjun Park

    (Gangwon State Center for Infectious Diseases (Affiliated to Korea Disease Control and Prevention Agency and, Gangwon State Government), Chuncheon 24280, Gangwon, Republic of Korea)

  • Saerom Kim

    (Gangwon State Center for Infectious Diseases (Affiliated to Korea Disease Control and Prevention Agency and, Gangwon State Government), Chuncheon 24280, Gangwon, Republic of Korea)

  • Yeojin Kim

    (Gangwon State Center for Infectious Diseases (Affiliated to Korea Disease Control and Prevention Agency and, Gangwon State Government), Chuncheon 24280, Gangwon, Republic of Korea)

  • Eunmi Kim

    (Gangwon State Center for Infectious Diseases (Affiliated to Korea Disease Control and Prevention Agency and, Gangwon State Government), Chuncheon 24280, Gangwon, Republic of Korea)

  • So Yeon Kong

    (Strategic Research, Laerdal Medical, 4002 Stavanger, Norway)

Abstract

This study aimed to identify the time to diagnosis among COVID-19 patients and factors associated with delayed diagnosis (DD). Data from COVID-19 patients in Gangwon, South Korea, diagnosed between 22 February 2020 and 29 January 2022, were analyzed, excluding asymptomatic cases and those who underwent mandatory testing. DD was defined as a period exceeding 2 or more days from symptom recognition to COVID-19 diagnosis. Univariate analysis was performed to investigate the demographic characteristics, COVID-19 symptoms, and underlying medical conditions associated with DD, followed by multivariate logistic regression analysis for significant variables. Among 2683 patients, 584 (21.8%) were diagnosed within a day of symptom onset. DD rates were lower in patients with febrile symptoms but higher among those with cough, myalgia, or anosmia/ageusia. High-risk underlying medical conditions were not significantly associated with DD. Older age groups, the Wonju medical service area, time of diagnosis between November 2020 and July 2021, symptom onset on nonworkdays, and individuals in nonwhite collar sectors were significantly associated with increased DD risks. These findings were consistent in the sensitivity analysis. This study underscores the need for enhanced promotion and system adjustments to ensure prompt testing upon symptom recognition.

Suggested Citation

  • Minhye Park & Seungmin Jeong & Yangjun Park & Saerom Kim & Yeojin Kim & Eunmi Kim & So Yeon Kong, 2024. "Influencing Factors of Delayed Diagnosis of COVID-19 in Gangwon, South Korea," IJERPH, MDPI, vol. 21(5), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:5:p:641-:d:1396828
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    References listed on IDEAS

    as
    1. Satinder Kaur & Hemant Bherwani & Sunil Gulia & Ritesh Vijay & Rakesh Kumar, 2021. "Understanding COVID-19 transmission, health impacts and mitigation: timely social distancing is the key," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6681-6697, May.
    2. Hinako Yamaguchi Oiwake & Daisuke Nonaka & Takehiko Toyosato, 2022. "Factors Associated with Delayed Diagnosis among Patients with COVID-19 in Okinawa, Japan," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
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