IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i2p1162-d1029641.html
   My bibliography  Save this article

Differences in Characteristics and Length of Stay of Elderly Emergency Patients before and after the Outbreak of COVID-19

Author

Listed:
  • Wang-Chuan Juang

    (Quality Management Center, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan
    Department of Business Management, National Sun Yat-sen University, Kaohsiung 804201, Taiwan)

  • Sonia Ming-Jiu Chiou

    (Department of Business Management, National Sun Yat-sen University, Kaohsiung 804201, Taiwan)

  • Hsien-Chih Chen

    (Department of Business Management, National Sun Yat-sen University, Kaohsiung 804201, Taiwan)

  • Ying-Chun Li

    (Institute of Health Care Management, National Sun Yat-sen University, Kaohsiung 804201, Taiwan)

Abstract

(1) Background: COVID-19 has spread worldwide and affected Taiwan’s medical system and people’s lives. This study aimed to explore the impact of medical utilization on the characteristics and length of stay (LOS) of elderly emergency department (ED) patients before and after COVID-19; (2) Methods: We gathered ED visits from January to September 2019 (pre-pandemic group) and from January to September 2020 (pandemic group). The data analysis methods included descriptive statistics, the Pearson’s chi-square test, the independent sample t -test, and binary logistic regression; (3) Results: In 2020, during COVID-19, a significant decrease in ED monthly visits occurred from January; the maximum decrease was 32% in March. The average LOS during COVID-19 was shortened, with a significant reduction in diagnoses compared with the pre-pandemic period; (4) Conclusions: The threat of COVID-19 has changed the elderly’s behavior in ED visits and shortened the LOS of ED. The study’s results emphasize the importance of analyzing the medical utilization of elderly ED patients and understanding the medical quality of healthcare institutions. With Taiwan’s rapidly aging society, the demand for healthcare increases from time to time. The overcrowding of medical attention is often a problem. The results recommend that the overcrowding problem has the opportunity to be solved.

Suggested Citation

  • Wang-Chuan Juang & Sonia Ming-Jiu Chiou & Hsien-Chih Chen & Ying-Chun Li, 2023. "Differences in Characteristics and Length of Stay of Elderly Emergency Patients before and after the Outbreak of COVID-19," IJERPH, MDPI, vol. 20(2), pages 1-10, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1162-:d:1029641
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/2/1162/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/2/1162/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1162-:d:1029641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.