Evidence map›Paper›PMID 27941328›Full record

ArticleGerontology2017

Upper-Extremity Function Predicts Adverse Health Outcomes among Older Adults Hospitalized for Ground-Level Falls.

Bellal Joseph, Nima Toosizadeh, Tahereh Orouji Jokar, Michelle R Heusser, Jane Mohler, Bijan Najafi

Abstract read
In one paragraph

Article in Gerontology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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.

Bellal JosephDivision of Trauma, Critical Care, Burn and Emergency Surgery, Department of Surgery, University of Arizona, Tucson, AZ, USA.
Nima Toosizadeh
Tahereh Orouji Jokar
Michelle R Heusser
Jane Mohler
Bijan Najafi

Funding

Upper Extremity Frailty Assessment ToolR44AG050338 · NIA · BIOSENSICS, LLC · PI GWIN, JOSEPH T, JOSEPH, BELLAL · 2015 to 2016
$1.5M
Team-Based Design of Biomedical DevicesR25EB012973 · NIBIB · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2011 to 2015
$214k
NIA NIH HHS R44 AG050338NIBIB NIH HHS R25 EB012973
6 · The paper itself

Abstract

backgroundDespite National Surgical Quality Improvement guidelines to integrate frailty into surgical elder assessments, a quick, accurate, and simple frailty assessment tool suitable for busy clinical settings is still not available. Recently, we have demonstrated that a simple upper-extremity function (UEF) test based on wearable sensors could identify frailty with high agreement with conventional assessments by testing 20-s repetitive elbow flexion and extension.

objectiveWe examined whether UEF parameters are sensitive for predicting adverse health outcomes in bedbound older adults admitted to hospital due to ground-level fall injuries. STUDY

designFrailty was assessed in 101 eligible older adults (age: 79 ± 9 years) admitted to a trauma setting using the UEF test at the time of admission. All participants were followed up for 2 months using phone calls and chart reviews. The measured health outcomes included (1) discharge disposition (favorable: discharge home or rehabilitation; unfavorable: discharge to skilled nursing facility or death), (2) hospital length of stay, (3) 30-day readmission, (4) 60-day readmission, and (5) 30-day prospective falls. Multivariate analyses were used to identify independent predictors of adverse health outcomes based on participants' demographic parameters (i.e., age, gender, and body mass index [BMI]) and UEF index.

resultsBased on the UEF frailty status, 53 (52%) of the participants were frail and 48 (48%) were non-frail. Among all adverse health outcomes, age was only a significant predictor of 30-day prospective falls (p = 0.023). On the other hand, the UEF index was a significant predictor of all measured outcomes except hospital length of stay (p < 0.010). Among the UEF parameters, those indicating slowness, weakness, and exhaustion had the highest effect sizes to predict an unfavorable discharge disposition (p < 0.010; effect size = 0.65-0.92).

conclusionThe results of this study suggest that a 20-s UEF test is practical in the trauma setting and could be used as a quick measure for predicting adverse events and outcomes among bedbound patients after discharge. Assessing frailty using UEF may assist in objective triage, treatment, and post-discharge decision-making with regard to geriatric trauma patients.

Indexed as

Accidental FallsFrail ElderlyAgedAged, 80 and overAge FactorsFemaleGeriatric AssessmentHospitalizationHumansMalePatient DischargeProspective StudiesRisk AssessmentRisk FactorsUpper ExtremityWearable Electronic DevicesBedbound patientsDischarge dispositionFall incidentFrailtyFunctional testInpatient careInpatient triageReadmissionTraumaWearable technology

Identifiers

PMID27941328
PMCPMC5466851

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Registered trials

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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.