Literature DB >> 7625418

Serious falls in hospitalized patients: correlates and resource utilization.

D W Bates1, K Pruess, P Souney, R Platt.   

Abstract

PURPOSE: To evaluate the correlates of serious falls in hospitalized patients and the resource utilization associated with such falls. PATIENTS AND METHODS: This retrospective case-control study was performed in an urban tertiary care hospital. The 62 cases included all inpatients with available charts who were reported as having fallen with a resulting fracture (n = 22), dislocation (n = 1), or laceration or hematoma (n = 39) after being admitted between January 1987 and March 1991. The 62 controls were matched by date of hospitalization (within 3 months), age (within 5 years), gender, and length of stay up to the time of the fall.
RESULTS: Univariate correlates of falls (P < 0.05) included severity of underlying disease, Charlson comorbidity score, and Confusion Assessment Method (CAM) score. In multivariate conditional logistic regression analyses, only the Charlson index (P < 0.006) and the CAM score (P < 0.03) were independent correlates of a fall. Exposure to any of a number of drugs did not predict falls, but the power to detect drug effects was limited. A combination of the Charlson comorbidity and CAM scores identified a population at substantially increased risk of fall, including 50% (31/62) of fallers, versus 16% (10/62) of controls (odds ratio 5.2; 95% confidence interval, 2.4 to 12). In multivariate analyses, falls were also independently correlated with increases in length of stay (P < 0.004) and total charges (P < 0.008). Fallers stayed 12 days longer and had charges $4,233 higher than controls, after adjustment for potential clinical and nonclinical confounders.
CONCLUSION: Falls during hospitalization are commoner in confused patients and those with greater comorbidity. This profile differs from that of fallers in the community, probably because hospitalized patients are sicker. Injurious falls are associated with substantially increased resource utilization.

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Year:  1995        PMID: 7625418     DOI: 10.1016/s0002-9343(99)80133-8

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  57 in total

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2.  Scales for assessing self-efficacy of nurses and assistants for preventing falls.

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3.  David Westfall Bates, MD: a conversation with the editor on improving patient safety, quality of care, and outcomes by using information technology. Interview by William Clifford Roberts.

Authors:  David Westfall Bates
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4.  A taxonomy and economic consequences of nursing home falls.

Authors:  Sonja V Sorensen; Gregory de Lissovoy; Dan Kunaprayoon; Barbara Resnick; Marcia F T Rupnow; Stephanie Studenski
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5.  Linking joint commission inpatient core measures and national patient safety goals with evidence.

Authors:  Andrew L Masica; Kathleen M Richter; Paul Convery; Ziad Haydar
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6.  Inpatient falls: defining the problem and identifying possible solutions. Part I: an evidence-based review.

Authors:  Ethan U Cumbler; Jennifer R Simpson; Laura D Rosenthal; David J Likosky
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7.  Fall prevention in acute care hospitals: a randomized trial.

Authors:  Patricia C Dykes; Diane L Carroll; Ann Hurley; Stuart Lipsitz; Angela Benoit; Frank Chang; Seth Meltzer; Ruslana Tsurikova; Lyubov Zuyov; Blackford Middleton
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8.  Use of International Classification of Diseases, Ninth Revision, Clinical Modification, codes to identify inpatient fall-related injuries.

Authors:  Teresa M Waters; A Michelle Chandler; Lorraine C Mion; Michael J Daniels; Lori A Kessler; Stephen T Miller; Ronald I Shorr
Journal:  J Am Geriatr Soc       Date:  2013-11-01       Impact factor: 5.562

9.  In-hospital fall-risk screening in 4,735 geriatric patients from the LUCAS project.

Authors:  L Neumann; V S Hoffmann; S Golgert; J Hasford; W Von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2013-03       Impact factor: 4.075

10.  Improving the capture of fall events in hospitals: combining a service for evaluating inpatient falls with an incident report system.

Authors:  Ronald I Shorr; Lorraine C Mion; A Michelle Chandler; Linda C Rosenblatt; Debra Lynch; Lori A Kessler
Journal:  J Am Geriatr Soc       Date:  2008-01-16       Impact factor: 5.562

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