Falling is the most common hospital accident, and up to 15% of fallers sustain a serious injury. This study focused on developing a simple, practical fall risk screener using routine admission and daily in-hospital stay data. A case-control design was used. Logistic regression identified individual characteristics associated with an increased risk of a fall. Four variables were identified: history of falls, ambulation assistance, disoriented, and bowel control problems, creating a fall risk model with 70% sensitivity and 57% specificity.
[Show abstract][Hide abstract] ABSTRACT: Most fall intervention programs consist of 2 components: fall risk prediction instruments to identify the patient who is likely to fall, and fall intervention strategies to prevent the patient from falling or to protect the patient from injury should a fall occur. While critical to the effectiveness of a fall intervention program, many of the fall risk prediction instruments have been criticized for their failure to accurately identify the fall-prone patient. In this article, in the context of the validity assessments conducted on the Morse Fall Scale, the research conducted in the past 2 decades on fall risk assessment is critiqued. Some fall prediction research is based upon invalid assumptions and/or errors in design, both in the development of risk scales and in the evaluation of these instruments. Many of these instruments have been constructed with inappropriate reliance on face validity, have been evaluated inadequately, or have been tested in the clinical setting using an invalid design. Finally, improper use of fall scales in the clinical area may increase the risk of injury to the patient. The author concludes that much nursing research on patient falls does not contribute to improved patient safety.
The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmières 07/2006; 38(2):73-88.
[Show abstract][Hide abstract] ABSTRACT: The aim of this study was to determine whether items on a falls risk-assessment tool, made up of brief cognitive and physical measures that nurses use in practice, differentiated fallers and nonfallers in oncology and medical settings. A measure of leg muscle strength clearly distinguished between fallers and nonfallers, with the latter having stronger leg muscles. For nursing practice, the assessment of patients' muscle strength seems to be the most useful scale for identifying potential fallers.
Journal of nursing care quality 04/2007; 22(2):130-7. DOI:10.1097/01.NCQ.0000263102.06311.a9 · 1.39 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: This study investigated the linkages between patient falls and open visiting hours in an acute care setting in Taiwan. The activities of the accompanying family members/aides when patients fell were analyzed. More than 35% of the family members/aides who were watching patients were ineffective in preventing the falls.
Journal of nursing care quality 04/2007; 22(2):145-51. DOI:10.1097/01.NCQ.0000263104.08096.f8 · 1.39 Impact Factor
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