Fall Risk Assessment for Older Adults: The Hendrich II Model
Issue Number 8, Revised 2007
Best Practices in Nursing Care to Older Adults
from The Hartford Institute for Geriatric Nursing, New York University College of Nursing
Series Editor: Marie Boltz, MSN, APRN, BC, GNP
Managing Editor: Sherry A. Greenberg, MSN, APRN, BC, GNP, New York University College of Nursing
WHY: Falls among older adults, unlike other ages tend to occur from multifactorial etiology such as acute1,2,3 and chronic4 illness, medications,5 as a prodrome to other diseases,6 or as idiopathic phenomena. Because the rate of falling increases proportionally with increased number of pre-existing conditions and risk factors,7 fall risk assessment is a useful guideline for practitioners. One must also determine the underlying etiology of “why” a fall occurred with a comprehensive post-fall assessment.8 Fall risk assessment and post-fall assessment are two interrelated, but distinct approaches to fall evaluation, both recommended by national professional organizations.9
BEST PRACTICE APPROACH: In acute care, a best practice approach incorporates use of the Hendrich II Fall Risk Model which is quick to administer and provides a determination of risk for falling based on gender, mental and emotional status, symptoms of dizziness, and known categories of medications increasing risk.10 This tool screens for primary prevention of falls and is integral in a post-fall assessment for the secondary prevention of falls.
TARGET POPULATION: The Hendrich II Fall Risk Model is intended to be used in the acute care setting to identify adults at risk for falls. The Model is being validated for further application of the speciﬁc risk factors in pediatrics and obstetrical populations.
VALIDITY AND RELIABILITY: The Hendrich II Fall Risk Model was validated in a large case control study in an acute care tertiary facility with skilled nursing and rehabilitation populations. The risk factors in the model had a statistically signiﬁcant relationship with patient falls (Odds Ratio 10.12-1.00, .01 > p <.0001 content="" validity="" was="" established="" through="" an="" exhaustive="" literature="" review="" use="" of="" accepted="" nursing="" nomenclature="" and="" the="" extensive="" experience="" principal="" investigators="" in="" this="" area.11="" instrument="" is="" sensitive="" speci="" with="" interrater="" reliability="" measuring="" agreement.="">
STRENGTHS AND LIMITATIONS: The major strengths of the Hendrich II Fall Risk Model are its brevity, the inclusion of “risky” medications, and its focus on interventions for speciﬁc areas of risk rather than on a single, summed general risk score. Categories of medication increasing fall risk as well as adverse side effects from medications leading to falls are built into this tool. Further, the Model can be inserted into existing documentation forms or a single document. It has been built into electronic health records with targeted interventions that prompt and alert the caregiver to modify and/or reduce speciﬁc risk factors’ present.11
Best practice information on care of older adults: www.GeroNurseOnline.org.
1 Ooi, W.L., Hossain, M., & Lipsitz, L.A. (2000). The association between orthostatic hypotension and recurrent falls in nursing home residents. American Journal of Medicine, 108(2), 106-11.
2 Davies, A.J., Steen, N., & Kenny, R.A. (2001). Carotid sinus hypersensitivity is common in older patients presenting to an accident and emergency department with unexplained falls. Age and Ageing, 30(4), 273-274.
3 Heitterachi, E., Lord, S.R., Meyerkort, P., McCloskey, I., & Fitzpatrick, R. (2002). Blood pressure changes on upright tilting predict falls in older people. Age and Ageing, 31(3), 181-186.
4 Stolze, H., Klebe, S., Zechlin, C., Baecker, C., Friege, L., & Deuschl, G. (2004). Falls in frequent neurological diseases-prevalence, risk factors and etiology. Journal of Neurology, 251(1), 79-84.
5 Leipzig, R.M., Cumming, R.G., & Tinetti, M.E. (1999). Drugs and falls in older people: A systematic review and meta-analysis: Cardiac and analgesic drugs.
JAGS, 47(1), 40-50.
6 Gray-Miceli, D., Waxman, H., Cavalieri, T., & Lage, S. (1991). Prodromal falls among older nursing home residents. Applied Nursing Research, 7(1), 18-27.
7 Tinetti, M.E., Williams, T.S., & Mayewski, R. (1986). Fall risk index for elderly patients based on number of chronic disabilities.
American Journal of Medicine, 80(3), 429-434.
8 Gray-Miceli, D., Johnson, J, & Strumpf, N. (2005). A step-wise approach to a comprehensive post-fall assessment. Annals of Long-Term Care, 13(12), 16-24.
9 American Geriatrics Society, British Geriatrics Society, & American Academy of Orthopaedic Surgeons Panel on Falls Prevention. (2001). Guidelines for the prevention of falls in older persons. JAGS, 49, 664-672.
10 Hendrich, A.L. Bender, P.S. & Nyhuis, A. (2003). Validation of the Hendrich II Fall Risk Model: A Large Concurrent CASE/Control Study of Hospitalized Patients. Applied Nursing Research, 16(1), 9-21.
11 Hendrich, A., Nyhuuis, A., Kippenbrock, T., & Soga, M.E. (1995). Hospital falls: Development of a predictive model for clinical practice. Applied Nursing Research, 8, 129-139.
Permission is hereby granted to reproduce, post, download, and/or distribute, this material in its entirety only for not-for-proﬁt educational purposes only, provided that The Hartford Institute for Geriatric Nursing, College of Nursing, New York University is cited as the source. This material may be downloaded and/or distributed in electronic format, including PDA format. Available on the internet at www.hartfordign.org and/or www.GeroNurseOnline.org. E-mail notiﬁcation of usage to: email@example.com.
CASE EXAMPLE: Fall Risk Assessment with prior falls history
An 80 year old woman with new onset confusion and urinary incontinence who has fallen repeatedly at home in the past 2 months is hospitalized for further observation and possible long-term care placement. On admission she is anxious and confused, and unable to move. Medications include Haldol 0.5 mg BID started 1 week prior to admission. Admission laboratory work shows a normal CBC and SMA-12. The urinalysis has 50 WBC per high power ﬁeld and +2 Bacteria. The Hendrich risk score was 9. A comprehensive post-fall evaluation and review of the high risk parameters led to a presumptive diagnosis of the underlying cause of the fall: acute confusion due to urinary tract infection. Haldol was stopped and Bactrim DS BID was started. Two weeks later, the urinary incontinence and confusion lessened and the falling stopped. She was discharged home to live with her daughter.
CASE DISCUSSION: This woman possesses several “red ﬂag” areas of a dynamic nature, e.g., falls occurring on an acute, potentially reversible basis, acute urinary incontinence, urinary tract infection, poly-pharmacy and delirium. Falling is related to these dynamic events and once the underlying causes of the fall were identiﬁed and managed, the falling stopped. Note that the review of fall related risk factors surfaced no past or static events associated with falls, such as dementia or Parkinson’s disease, but use of the Hendrich Model captured signiﬁcant risk factors including confusion (4 points), prescribed benzodiazepines (1 point) and inability to rise (4 points). These risks elicited from the Hendrich Model along with information from a comprehensive post-fall assessment informed the nursing interventions and overall plan of care.
HENDRICH II FALL RISK MODEL
Risk Factor/Risk Points
Altered Elimination 1
Gender (Male) 1
Any administeredprescribed antiepileptics (anticonvulsants): 2
carbamazepine, divalproex sodium, ethotoin, ethosuximide, felbamate, fosphenytoin, gabapentin, lamotrigine, mephenytoin, methsuximide, phenobarbitol, phenytoin, primidone, topiramate, trimethadione, valproic acid)
Any administeredprescribed benzodiazepines: 1
alprazolam, buspirone, chlordiazepoxide, clonazepam, clorazepate dipotassium, diazepam, flurazepam, halazepam, lorazepam, midazolam, oxazepam, temazepam, triazolam) Get-up-and-go* Test: “Rising from Chair” (select one) *If unable to assess (unconscious, drug-induced coma, traction, extreme debilitation/atrophy), monitor for change in activity level and use all other risk factor scores.
Able to rise in single movement 0
Pushes up, successful in one attempt 1
Multiple attempts but successful 3
Unable to rise without assistance 4
TOTAL (5 or greater = High Risk)
© 2005 Ann Hendrich, Inc., All Rights Reserved, Provisional Patent #11/059,435