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A prospective study to identify the fall-prone patient

Author

Listed:
  • Morse, Janice M.
  • Black, Colleen
  • Oberle, Kathleen
  • Donahue, Patricia

Abstract

A prospective study in 16 patient care units in two institutions was conducted to assess patients' risk of falling. Three types of patient care units were utilized (acute medical and surgical, long term geriatric and rehabilitation areas), with 2689 patients over a 4-month period rated daily for fall risk using the Morse Fall Scale. Differences in mean fall score were evident between the acute care areas and the long term and the rehabilitation areas. Examination of the scores in the acute care institution by length of stay, showed different patterns of fall risk; the mean score of the long term patients showed less variation and higher scores. Patients' falls were analyzed by fall score and type of fall. All types of falls (anticipated physiological, unanticipated physiological and accidental), and the severity of injuries increased, with increasing scores indicating clinical validity of the scale.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:socmed:v:28:y:1989:i:1:p:81-86
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    Citations

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    Cited by:

    1. 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.
    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.
    3. 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.
    4. 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.
    5. 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.

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