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Risk Factors for Falls Among Hospitalized Acute Post–Ischemic Stroke Patients

Cox, Robynn; Buckholz, Beth; Bradas, Cheryl; Bowden, Victoria; Kerber, Kathleen; McNett, Molly M.

Erratum

In the above article, appearing on pages 355-360 of the December 2017 issue of the Journal of Neuroscience Nursing , author Beth Buckholz’s last name was spelled incorrectly. This has been corrected in the online version of the article.

Journal of Neuroscience Nursing. 50(2):119, April 2018.

Journal of Neuroscience Nursing: December 2017 - Volume 49 - Issue 6 - p 355–360
doi: 10.1097/JNN.0000000000000322
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ABSTRACT Background: Falls remain an important benchmarking indicator for hospitals. Research identifies factors associated with falls among hospitalized patients in general. Similarly, the stroke literature outlines fall risk factors in the inpatient rehabilitation and community setting. Purpose: The aim of this study was to identify prevalence and risk factors for falls among acute, hospitalized AIS patients within an urban public healthcare system. Secondary aims were to identify activities present at the time of the fall and outcomes associated with falling. Methods: This is a retrospective case-control study. Data were abstracted and merged from hospital stroke and fall registries and matched with medical records from 2013 to 2015 among all adult patients admitted for AIS. Results: The study included 856 patients with AIS, with 2.3% experiencing a fall during the acute care hospitalization period. Falls among patients with AIS accounted for 1.4% of all hospitalized adult falls. Bivariate analysis indicate that a higher proportion of falls occurred among male patients when compared with female patients (75% male; χ2 = 3.964, P < .05) and among patients with a history of previous myocardial infarction or renal insufficiency (χ2 = 5.260, P < .05; χ2 = 11.116, P < .001, respectively). Multivariate analyses identify previous myocardial infarction (OR, 2.5; 95% confidence interval, 1.0–6.3; P = .04) and renal insufficiency (odds ratio, 4.2; 95% confidence interval, 1.5-12.2; P = .008) as strongest predictors of falls. The occurrence of a fall resulted in increased hospital length of stay (7.1 vs 4.0 days, P < .000) and slightly decreased functional outcome at discharge. Most falls occurred during the day shift while toileting, despite implementation and adherence to fall prevention programs. Conclusions: Fall rates among hospitalized patients with AIS are low, which may be reflective of increased vigilance among providers and widespread integration of fall prevention strategies. Consistent with the fall literature among other populations, the occurrence of a fall in the inpatient setting can substantially increase length of stay.

Questions or comments about this article may be directed to Molly McNett, PhD RN CNRN, at mmcnett@metrohealth.org. She is a Director, Nursing Research, The MetroHealth System, Cleveland, OH.

Robynn Cox, BSN RN SCRN, is Coordinator, Stroke Program, Department of Medical Critical Care Administration, The MetroHealth System, Cleveland, OH.

Beth Buckholz, BSN RN CMSRN, is Clinical Nurse, Department of Nursing, The MetroHealth System, Cleveland, OH.

Cheryl Bradas, PhD(c) RN GCNS-BC CHPN CNRN, is Clinical Nurse Specialist, Department of Nursing, The MetroHealth System, Cleveland, OH.

Victoria Bowden, DNP ACNS-BC CHPN CBN, Department of Nursing, The MetroHealth System, Cleveland, OH.

Kathleen Kerber, MSN ACNS-BC CCRN CNRN, is Clinical Nurse Specialist, Department of Nursing, The MetroHealth System, Cleveland, OH.

Dr. McNett is on the editorial board for the Journal of Neuroscience Nursing. The other authors declare no conflicts of interest.

© 2017 American Association of Neuroscience Nurses