• Infect Control Hosp Epidemiol · Oct 2005

    Patterns and predictors of inpatient falls and fall-related injuries in a large academic hospital.

    • Irene D Fischer, Melissa J Krauss, William Claiborne Dunagan, Stanley Birge, Eileen Hitcho, Shirley Johnson, Eileen Costantinou, and Victoria J Fraser.
    • Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
    • Infect Control Hosp Epidemiol. 2005 Oct 1;26(10):822-7.

    ObjectivesMost research on hospital falls has focused on predictors of falling, whereas less is known about predictors of serious fall-related injury. Our objectives were to characterize inpatients who fall and to determine predictors of serious fall-related injury.MethodsWe performed a retrospective observational study of 1,082 patients who fell (1,235 falls) during January 2001 to June 2002 at an urban academic hospital. Multivariate analysis of potential risk factors for serious fall-related injury (vs no or minor injury) included in the hospital's adverse event reporting database was conducted with logistic regression to calculate adjusted odds ratios (aORs) with 95% confidence intervals (CI95)ResultsThe median age of patients who fell was 62 years (interquartile range, 49-77 years), 50% were women, and 20% were confused. The hospital fall rate was 3.1 falls per 1,000 patient-days, which varied by service from 0.86 (women and infants) to 6.36 (oncology). Some (6.1%) of the falls resulted in serious injury, ranging by service from 3.1% (women and infants) to 10.9% (psychiatry). The most common serious fall-related injuries were bleeding or laceration (53.6%), fracture or dislocation (15.9%), and hematoma or contusion (13%). Patients 75 years or older (aOR, 3.2; CI95, 1.3-8.1) and those on the geriatric psychiatry floor (aOR, 2.8; CI95, 1.3-6.0) were more likely to sustain serious fall-related injuries.ConclusionsThere is considerable variation in fall rates and fall-related injury percentages by service. More detailed studies should be conducted by floor or service to identify predictors of serious fall-related injury so that targeted interventions can be developed to reduce them.

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