Evidence map›Paper›PMID 28947669›Full record

ArticleJournal of epidemiology and community health2017

Operationalisation and validation of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall risk algorithm in a nationally representative sample.

Matthew C Lohman, Rebecca S Crow, Peter R DiMilia, Emily J Nicklett, Martha L Bruce, John A Batsis

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
13.4field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  4. Development of a Modifiable Fall Risk Score for evaluating changes in fall risk over time.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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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

6 authors at 3 institutions in 1 country.

Matthew C LohmanDepartment of Psychiatry, Dartmouth College Geisel School of Medicine, Hanover, New Hampshire, USA.ORCID http://orcid.org/0000-0002-2273-2160
Rebecca S CrowDartmouth Centers for Health and Aging, Lebanon, New Hampshire, USA.
Peter R DiMiliaDartmouth Centers for Health and Aging, Lebanon, New Hampshire, USA.
Emily J NicklettUniversity of Michigan School of Social Work, Ann Arbor, Michigan, USA.
Martha L BruceDepartment of Psychiatry, Dartmouth College Geisel School of Medicine, Hanover, New Hampshire, USA.
John A BatsisDepartment of Psychiatry, Dartmouth College Geisel School of Medicine, Hanover, New Hampshire, USA.
Dartmouth College · USDartmouth Institute for Health Policy and Clinical Practice · USUniversity of Michigan · US

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Training Geriatric Mental Health Services ResearchersT32MH073553 · NIMH · DARTMOUTH-HITCHCOCK CLINIC · PI BRUCE, MARTHA L · 2005 to 2019
$6.4M
Health Promotion and Disease Prevention Research CenterU48DP005018 · DP · DARTMOUTH COLLEGE · PI ADACHI-MEJIA, ANNA MARIA · 2014 to 2018
$5.6M
Homecare Agency-Randomized Trial of Web Implementation Strategy for DepressionR01MH096441 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BRUCE, MARTHA L · 2012 to 2015
$1.6M
Mobile Health Obesity Wellness Intervention in Rural Older Adults_Res1K23AG051681 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BATSIS, JOHN A. · 2016 to 2022
$1.1M
ACL HHS U48DP005018NCCDPHP CDC HHS U48 DP005018NIA NIH HHS K23 AG051681NIA NIH HHS U01 AG032947NIMH NIH HHS R01 MH096441NIMH NIH HHS T32 MH073553
6 · The paper itself

Abstract

backgroundPreventing falls and fall-related injuries among older adults is a public health priority. The Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool was developed to promote fall risk screening and encourage coordination between clinical and community-based fall prevention resources; however, little is known about the tool's predictive validity or adaptability to survey data.

methodsData from five annual rounds (2011-2015) of the National Health and Aging Trends Study (NHATS), a representative cohort of adults age 65 years and older in the USA. Analytic sample respondents (n=7392) were categorised at baseline as having low, moderate or high fall risk according to the STEADI algorithm adapted for use with NHATS data. Logistic mixed-effects regression was used to estimate the association between baseline fall risk and subsequent falls and mortality. Analyses incorporated complex sampling and weighting elements to permit inferences at a national level.

resultsParticipants classified as having moderate and high fall risk had 2.62 (95% CI 2.29 to 2.99) and 4.76 (95% CI 3.51 to 6.47) times greater odds of falling during follow-up compared with those with low risk, respectively, controlling for sociodemographic and health-related risk factors for falls. High fall risk was also associated with greater likelihood of falling multiple times annually but not with greater risk of mortality.

conclusionThe adapted STEADI clinical fall risk screening tool is a valid measure for predicting future fall risk using survey cohort data. Further efforts to standardise screening for fall risk and to coordinate between clinical and community-based fall prevention initiatives are warranted.

Indexed as

AlgorithmsDeathWounds and InjuriesAccidental FallsAgedAged, 80 and overFemaleGeriatric AssessmentHumansMalePredictive Value of TestsReproducibility of ResultsRisk AssessmentSurveys and Questionnairesfallsgeriatricsinjuriesmeasurementscreening

Identifiers

PMID28947669
PMCPMC5729578
OpenAlexW2759488408

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.