Evidence map›Paper›PMID 29509312›Full record

Observational studyJournal of the American Geriatrics Society2018

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

Brian W Patterson, Michael D Repplinger, Michael S Pulia, Robert J Batt, James E Svenson, Alex Trinh, Eneida A Mendonça, Maureen A Smith, Azita G Hamedani, Manish N Shah

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Brian W PattersonBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.ORCID 0000-0002-4584-3808
Michael D RepplingerBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Michael S PuliaBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Robert J BattBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
James E SvensonBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Alex TrinhBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Eneida A MendonçaDepartment of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Maureen A SmithHealth Innovation Program, University of Wisconsin-Madison, Madison, Wisconsin.
Azita G HamedaniBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Manish N ShahBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
University of Wisconsin–Madison · US

Funding

Mentoring and Research in Patient-Oriented Geriatric Emergency CareK24AG054560 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI SHAH, MANISH N · 2017 to 2021
$955k
Preventing Future Falls among Older Adults Presenting to the Emergency DepartmentK08HS024558 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI PATTERSON, BRIAN W · 2016 to 2020
$792k
Identifying Barriers and Facilitators to the Implementation of Radiation-Free Imaging Protocols in the Emergency DepartmentK08DK111234 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REPPLINGER, MICHAEL DEAN · 2016 to 2018
$488k
AHRQ HHS K08 HS024558NIA NIH HHS K24 AG054560NIDDK NIH HHS K08 DK111234
6 · The paper itself

Abstract

objectivesTo evaluate the utility of routinely collected Hendrich II fall scores in predicting returns to the emergency department (ED) for falls within 6 months.

designRetrospective electronic record review.

settingAcademic medical center ED.

participantsIndividuals 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.

resultsFor 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).

conclusionRoutinely 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.

Indexed as

Emergency Service, HospitalAcademic Medical CentersAccidental FallsAgedAged, 80 and overElectronic Health RecordsFemaleHumansMaleOutpatientsRetrospective StudiesRisk Assessmentelectronic health recordemergency medicinefallsscreening

Identifiers

PMID29509312
PMCPMC5937931
OpenAlexW2789298510

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.