Literature DB >> 29509312

Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits.

Brian W Patterson1,2, Michael D Repplinger1,3, Michael S Pulia1, Robert J Batt1,4, James E Svenson1, Alex Trinh1, Eneida A Mendonça5,6, Maureen A Smith2,7,8, Azita G Hamedani1, Manish N Shah1,6,9.   

Abstract

OBJECTIVES: To evaluate the utility of routinely collected Hendrich II fall scores in predicting returns to the emergency department (ED) for falls within 6 months.
DESIGN: Retrospective electronic record review.
SETTING: Academic medical center ED. PARTICIPANTS: Individuals aged 65 and older seen in the ED from January 1, 2013, through September 30, 2015. MEASUREMENTS: We evaluated the utility of routinely collected Hendrich II fall risk scores in predicting ED visits for a fall within 6 months of an all-cause index ED visit.
RESULTS: For in-network patient visits resulting in discharge with a completed Hendrich II score (N = 4,366), the return rate for a fall within 6 months was 8.3%. When applying the score alone to predict revisit for falls among the study population the resultant receiver operating characteristic (ROC) plot had an area under the curve (AUC) of 0.64. In a univariate model, the odds of returning to the ED for a fall in 6 months were 1.23 times as high for every 1-point increase in Hendrich II score (odds ratio (OR)=1.23 (95% confidence interval (CI)=1.19-1.28). When included in a model with other potential confounders or predictors of falls, the Hendrich II score is a significant predictor of a return ED visit for fall (adjusted OR=1.15, 95% CI=1.10-1.20, AUC=0.75).
CONCLUSION: Routinely collected Hendrich II scores were correlated with outpatient falls, but it is likely that they would have little utility as a stand-alone fall risk screen. When combined with easily extractable covariates, the screen performs much better. These results highlight the potential for secondary use of electronic health record data for risk stratification of individuals in the ED. Using data already routinely collected, individuals at high risk of falls after discharge could be identified for referral without requiring additional screening resources.
© 2018, Copyright the Authors Journal compilation © 2018, The American Geriatrics Society.

Entities:  

Keywords:  electronic health record; emergency medicine; falls; screening

Mesh:

Year:  2018        PMID: 29509312      PMCID: PMC5937931          DOI: 10.1111/jgs.15299

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  25 in total

1.  Validation of the Hendrich II Fall Risk Model: a large concurrent case/control study of hospitalized patients.

Authors:  Ann L Hendrich; Patricia S Bender; Allen Nyhuis
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6.  Prevention of falls in the elderly trial (PROFET): a randomised controlled trial.

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8.  Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.

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9.  Physician and nurse acceptance of technicians to screen for geriatric syndromes in the emergency department.

Authors:  Christopher R Carpenter; Richard T Griffey; Susan Stark; Craig M Coopersmith; Brian F Gage
Journal:  West J Emerg Med       Date:  2011-11

10.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004
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3.  Incidence and risk of falls in patients treated for hematologic malignancies in the Intensive Hematology Unit.

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