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Comparative Study
. 2015 May;63(5):983-7.
doi: 10.1111/jgs.13387. Epub 2015 May 4.

Consistent differences in medical unit fall rates: implications for research and practice

Affiliations
Comparative Study

Consistent differences in medical unit fall rates: implications for research and practice

Vincent S Staggs et al. J Am Geriatr Soc. 2015 May.

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.

Keywords: accidental falls; nursing; patient safety.

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Conflict of interest statement

Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.

Figures

Figure 1
Figure 1
Mean total fall rate and inter-quartile range for low- and high-fall units by month. Grey dots and lines indicate means and inter-quartile range values for high-fall units; black dots and lines indicate means and inter-quartile range values for low-fall units.

References

    1. Currie L. Fall and injury prevention. In: Hughes RG, editor. Patient Safety and Quality: An Evidence-based Handbook for Nurses. Rockville, MD: Agency for Healthcare Research and Quality; 2008. pp. 195–250. AHRQ Publication NO08-0043. - PubMed
    1. Bouldin EL, Andresen EM, Dunton NE, et al. Falls among adult patients hospitalized in the United States: Prevalence and trends. J Patient Saf. 2013;9:13–17. - PMC - PubMed
    1. Healey F, Scobie S, Oliver D, et al. Falls in English and Welsh hospitals: A national observational study based on retrospective analysis of 12 months of patient safety incident reports. Qual Saf Health Care. 2008;17:424–430. - PubMed
    1. Schwendimann R, Buhler H, De Geest S, et al. Characteristics of hospital inpatient falls across clinical departments. Gerontology. 2008;54:342–348. - PubMed
    1. Brand CA, Sundararajan V. A 10-year cohort study of the burden and risk of in-hospital falls and fractures using routinely collected hospital data. Qual Saf Health Care. 2010;19:e51. - PubMed

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