Evidence map›Paper›PMID 26482695›Full record

ArticleThe journal of nutrition, health & aging2015

Preliminary Findings of the Brief Everyday Activities Measurement (BEAM) in Older Adults.

E A Scharaga, R Holtzer

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in The journal of nutrition, health & aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

E A ScharagaRoee Holtzer, Ph.D. Ferkauf Graduate School of Psychology and Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, NY, USA. Phone: 718 430-3962; Fax: 718 430-3960; email: roee.holtzer@einstein.yu.edu.
R Holtzer

Funding

Central Control of Mobility in AgingR01AG036921 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HOLTZER, ROEE · 2011 to 2015
$3.3M
NIA NIH HHS R01 AG036921NIA NIH HHS R01AG036921
6 · The paper itself

Abstract

objectivesFunctional losses are common in healthy and cognitively impaired older adults. However, subtle declines in instrumental activities of daily living (IADLs) are not always detected in self-reports. Performance IADL measurements are financially and time burdensome, restricting their use in varied settings. To address these limitations, we developed the Brief Everyday Activities Measure (BEAM), a short (< 5 minutes) objective IADL measure that assesses medication and finance management. DESIGN AND

participantsThe BEAM was administered to 209 cognitively non-demented community-dwellers (ages 65 - 95 years). MEASUREMENTS: Participants completed standardized motor, neuropsychological, psychological, and self-report functional assessments.

resultsBEAM completion time ranged from 54.16 to 259.31 seconds. Interclass correlations (ICC) for total BEAM completion time was moderate (0.65, 95% CI [.43 -.78]). Accuracy for total BEAM performance was in the low-moderate range (Kappa = 0.38, p < .001, 95% CI [.18 -.54]). As predicted, lower accuracy and longer time to complete the BEAM were both associated with worse executive functions, attention, and processing speed.

conclusionsMedication and finance management can be efficiently assessed within five minutes. The BEAM may be a valuable screening tool to evaluate these functional abilities.

Indexed as

Activities of Daily LivingAttentionCognitionExecutive FunctionFinancial ManagementSelf AdministrationAgedAged, 80 and overCognition DisordersFemaleHumansMaleMass ScreeningReproducibility of Results

Identifiers

PMID26482695
PMCPMC5331926

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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.