IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v34y2025i7p364-376.html
   My bibliography  Save this article

Nonlinear Relationship Between Vital Signs and Hospitalization/Emergency Department Visits Among Older Home Healthcare Patients and Critical Vital Sign Cutoff for Adverse Outcomes: Application of Generalized Additive Model

Author

Listed:
  • Se Hee Min
  • Jiyoun Song
  • Lauren Evans
  • Kathryn H. Bowles
  • Margaret V. McDonald
  • Sena Chae
  • Sridevi Sridharan
  • Yolanda Barrón
  • Maxim Topaz

Abstract

Previous studies have focused on identifying risk factors for older adults receiving home healthcare services without considering vital signs. This may provide important information on deteriorating health conditions that may lead to hospitalization and/or emergency department (ED) visits. Thus, it is important to understand the relationship between vital signs and hospitalization and/or ED visits and critical vital sign points for mitigating the higher risks of hospitalization and/or ED visits. This secondary data analysis uses cross-sectional data from a large, urban home healthcare organization ( n  = 61,615). A generalized additive model was used to understand the nonlinear relationship between each vital sign and hospitalization and/or ED visits through three unadjusted and adjusted models, and to identify a critical vital sign point related to a higher risk of hospitalization and/or ED visits. A significant nonlinear relationship (effective degree of freedom >2.0) was found between systolic, diastolic blood pressure, heart rate, hospitalization, and/or ED visits. The critical inflection point for systolic blood pressure was 120.36 (SE 3.625, p  

Suggested Citation

  • Se Hee Min & Jiyoun Song & Lauren Evans & Kathryn H. Bowles & Margaret V. McDonald & Sena Chae & Sridevi Sridharan & Yolanda Barrón & Maxim Topaz, 2025. "Nonlinear Relationship Between Vital Signs and Hospitalization/Emergency Department Visits Among Older Home Healthcare Patients and Critical Vital Sign Cutoff for Adverse Outcomes: Application of Gene," Clinical Nursing Research, , vol. 34(7), pages 364-376, September.
  • Handle: RePEc:sae:clnure:v:34:y:2025:i:7:p:364-376
    DOI: 10.1177/10547738251336488
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738251336488
    Download Restriction: no

    File URL: https://libkey.io/10.1177/10547738251336488?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sae:clnure:v:34:y:2025:i:7:p:364-376. 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: SAGE Publications (email available below). General contact details of provider: .

    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.