IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0183612.html
   My bibliography  Save this article

Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set

Author

Listed:
  • Chen-Yu Hung
  • Wei-Ting Wu
  • Ke-Vin Chang
  • Tyng-Guey Wang
  • Der-Sheng Han

Abstract

Background: The Chinese version of the Continuity Assessment Record and Evaluation (CARE-C) item set was developed to facilitate the assessment of post-acute care (PAC) patients in Taiwan. Considering that the length of hospital stay (LOS) has a significant effect on the total healthcare cost, determining whether the CARE-C scores could predict the LOS of PAC patients is of great interest to the PAC providers. Methods: This prospective trial included PAC patients with stroke or central nervous system injuries. The demographic data and CARE-C scores were collected after admission and before discharge. A multivariable stepwise linear regression model was used to identify the predictors of the LOS using age, sex, tube placement status, CARE-C component scores at admission, and score differences between admission and discharge as independent variables. Results: This study included 178 patients (66 women and 112 men), with a mean age of 61.9 ± 15.6 years. Indwelling urinary catheter placement status at admission (β = 0.241, p = 0.002) was a positive predictor of the LOS, whereas age (β = −0.189, p = 0.010), core transfer subscale score at admission (β = −0.176, p = 0.020), and difference in continence subscale score (β = −0.203, p = 0.008) were negative predictors of the LOS. The model explained 14% of the total variance. Conclusions: Indwelling urinary catheter placement status at admission, age, core transfer subscale score at admission, and difference in the CARE-C continence subscale score were identified as predictors of the LOS. The explanatory power of these predictors might be limited due to the regulations of Taiwan’s National Health Insurance.

Suggested Citation

  • Chen-Yu Hung & Wei-Ting Wu & Ke-Vin Chang & Tyng-Guey Wang & Der-Sheng Han, 2017. "Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-10, August.
  • Handle: RePEc:plo:pone00:0183612
    DOI: 10.1371/journal.pone.0183612
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0183612
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0183612&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0183612?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hsiang-Yun Chou & Ya-Wen Tsai & Shang-Chun Ma & Shang-Min Ma & Chia-Li Shih & Chieh-Ting Yeh, 2023. "Efficacy and Cost over 12 Hospitalization Weeks of Postacute Care for Stroke," IJERPH, MDPI, vol. 20(2), pages 1-13, January.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0183612. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.