IDEAS home Printed from https://ideas.repec.org/a/wly/jocnur/v23y2014i17-18p2434-2441.html
   My bibliography  Save this article

Validity of the Morse Fall Scale implemented in an electronic medical record system

Author

Listed:
  • Seonhyeon Baek
  • Jinshi Piao
  • Yinji Jin
  • Sun‐Mi Lee

Abstract

Aims and objectives To examine the validity of the Morse Fall Scale by analysing the electronic medical records on fall risk during different phases of hospitalisation. Background Regular monitoring on fall risk with a reliable and valid assessment tool is a key element in the fall prevention. In Korea, the Morse Fall Scale is currently being used in numerous medical institutions, yet it has not been comprehensively evaluated whether it is suitable and valid. Design The study design was a retrospective case–control study. Methods The participants included 151 fallers and 694 nonfallers. Data were extracted from a university hospital implementing Morse Fall Scale in the electronic medical records between October 2010 and June 2011. The nonfallers were selected by the stratified random sampling method among the patients who were in the hospital during the same period as the fallers. The Morse Fall Scale scores during three different time periods of hospital stay were used for analysis: the initial assessment score upon admission, the last and the maximum scores recorded from admission to the fall or discharge. Results With the maximum Morse Fall Scale score and the best cut‐off point of 51, validity indicators showed the highest performance: 0·72 for sensitivity, 0·91 for specificity, 0·63 for positive predictive value, 0·94 for negative predictive value, 0·63 for Youden Index and 0·77 for the area under the receiver operating characteristic curve. Conclusion The Morse Fall Scale showed relatively high predictive performance for the Korean population. Relevance to clinical practice The study results recommend practice change in fall prevention. As the validity was highest when the patient was first classified into the high‐risk group based on the Morse Fall Scale cut‐off score 51, patients classified as high risk should be placed under special nursing interventions until the day of their discharge, regardless of change in the patient state.

Suggested Citation

  • Seonhyeon Baek & Jinshi Piao & Yinji Jin & Sun‐Mi Lee, 2014. "Validity of the Morse Fall Scale implemented in an electronic medical record system," Journal of Clinical Nursing, John Wiley & Sons, vol. 23(17-18), pages 2434-2441, September.
  • Handle: RePEc:wly:jocnur:v:23:y:2014:i:17-18:p:2434-2441
    DOI: 10.1111/jocn.12359
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jocn.12359
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jocn.12359?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
    ---><---

    References listed on IDEAS

    as
    1. Morse, Janice M. & Black, Colleen & Oberle, Kathleen & Donahue, Patricia, 1989. "A prospective study to identify the fall-prone patient," Social Science & Medicine, Elsevier, vol. 28(1), pages 81-86, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Wen‐Hsuan Hou & Chun‐Mei Kang & Mu‐Hsing Ho & Jessie Ming‐Chuan Kuo & Hsiao‐Lien Chen & Wen‐Yin Chang, 2017. "Evaluation of an inpatient fall risk screening tool to identify the most critical fall risk factors in inpatients," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(5-6), pages 698-706, March.
    2. Eun Hee Cho & Yun Jung Woo & Arum Han & Yoon Chung Chung & Yeon Hee Kim & Hyeoun‐Ae Park, 2020. "Comparison of the predictive validity of three fall risk assessment tools and analysis of fall‐risk factors at a tertiary teaching hospital," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(17-18), pages 3482-3493, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eun Hee Cho & Yun Jung Woo & Arum Han & Yoon Chung Chung & Yeon Hee Kim & Hyeoun‐Ae Park, 2020. "Comparison of the predictive validity of three fall risk assessment tools and analysis of fall‐risk factors at a tertiary teaching hospital," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(17-18), pages 3482-3493, September.
    2. Masaki Tago & Naoko E Katsuki & Yoshimasa Oda & Eiji Nakatani & Takashi Sugioka & Shu-ichi Yamashita, 2020. "New predictive models for falls among inpatients using public ADL scale in Japan: A retrospective observational study of 7,858 patients in acute care setting," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-13, July.
    3. Pawinee Iamtrakul & Sararad Chayphong & Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha, 2021. "The Association of Falls Risk in Older Adults and Their Living Environment: A Case Study of Rural Area, Thailand," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
    4. Jo-Ana D. Chase & Alicia Lozano & Alexandra Hanlon & Kathryn H. Bowles, 2018. "Identifying Factors Associated With Mobility Decline Among Hospitalized Older Adults," Clinical Nursing Research, , vol. 27(1), pages 81-104, 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:wly:jocnur:v:23:y:2014:i:17-18:p:2434-2441. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1365-2702 .

    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.