Vincent S Staggs1,2, Lorraine C Mion3, Ronald I Shorr4,5. 1. Health Services and Outcomes Research, Children's Mercy Hospitals and Clinics, Kansas City, Missouri. 2. Department of Pediatrics, University of Missouri- Kansas City, Kansas City, Missouri. 3. Vanderbilt University School of Nursing, Nashville, Tennessee. 4. Department of Epidemiology, University of Florida, Gainesville, Florida. 5. Geriatric Research, Education and Clinical Center, Malcom Randall Veterans Administration Medical Center, Gainesville, Florida.
Abstract
OBJECTIVES: To determine the proportion of variation in long-term fall rates attributable to variability between rather than within hospital units and to identify unit- and hospital-level characteristics associated with persistently low- and high-fall units. DESIGN: Retrospective study of administrative data on inpatient falls. Eighty low-fall and 74 high-fall units were identified based on monthly rankings of fall rates. Unit- and hospital-level characteristics of these units were compared. SETTING: U.S. general hospitals participating in the National Database of Nursing Quality Indicators. PARTICIPANTS: Nonsubspecialty medical units (n=800) with 24 consecutive months of falls data. MEASUREMENTS: Monthly self-reported unit fall rates (falls per 1,000 patient-days). RESULTS: An estimated 87% of variation in 24-month fall rates was due to between-unit differences. With the exception of patient-days, a proxy for unit bed size, low- and high-fall units did not differ on nurse staffing or any other unit or hospital characteristic variable. CONCLUSION: There are medical units with persistently low and persistently high fall rates. High-fall units had higher patient volume, suggesting patient turnover as a variable for further study. Understanding additional factors underlying variability in long-term fall rates could lead to sustainable interventions for reducing inpatient falls.
OBJECTIVES: To determine the proportion of variation in long-term fall rates attributable to variability between rather than within hospital units and to identify unit- and hospital-level characteristics associated with persistently low- and high-fall units. DESIGN: Retrospective study of administrative data on inpatient falls. Eighty low-fall and 74 high-fall units were identified based on monthly rankings of fall rates. Unit- and hospital-level characteristics of these units were compared. SETTING: U.S. general hospitals participating in the National Database of Nursing Quality Indicators. PARTICIPANTS: Nonsubspecialty medical units (n=800) with 24 consecutive months of falls data. MEASUREMENTS: Monthly self-reported unit fall rates (falls per 1,000 patient-days). RESULTS: An estimated 87% of variation in 24-month fall rates was due to between-unit differences. With the exception of patient-days, a proxy for unit bed size, low- and high-fall units did not differ on nurse staffing or any other unit or hospital characteristic variable. CONCLUSION: There are medical units with persistently low and persistently high fall rates. High-fall units had higher patient volume, suggesting patient turnover as a variable for further study. Understanding additional factors underlying variability in long-term fall rates could lead to sustainable interventions for reducing inpatient falls.
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