Evidence map›Paper›PMID 39643887›Full record

ArticleBMC geriatrics2024

Cross-cultural adaptation and validation of the Arabic version of the Stay Independent Brochure as part of the CDC's STEADI initiative among community-dwelling older adults.

Maha Almarwani, Bashaier Alosaimi, Jennifer L Vincenzo

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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. Article
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

3 authors.

Maha AlmarwaniDepartment of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. malmarwani@ksu.edu.sa.
Bashaier AlosaimiDepartment of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Jennifer L VincenzoDepartment of Physical Therapy, University of Arkansas for Medical Sciences, Fayetteville, AR, USA.

Funding

Developing and testing implementation strategies to support the STEADI for falls risk management in outpatient rehabilitationK76AG074920 · NIA · UNIV OF ARKANSAS FOR MED SCIS · PI Jennifer Lynn Vincenzo · 2022 to 2026
$1.0M
NIA NIH HHS K76 AG074920
6 · The paper itself

Abstract

backgroundThe Stay Independent Brochure (SIB) is part of the CDC's STEADI initiative and is a fall risk screening self-report tool. This study aimed to translate and cross-culturally adapt the Arabic version of the SIB (AR-SIB) and evaluate its psychometric properties among community-dwelling older adults.

methodsThe translation and cross-cultural adaptation process followed standard guidelines, including forward and backward translation, expert committee review, and pretesting to ensure semantic and conceptual equivalence, clarity, and cultural relevance of the Arabic version of the SIB. Internal consistency was assessed using the Kuder-Richardson formula (KR-20), and test-retest reliability was evaluated with the intraclass correlation coefficient (ICC

resultsA total of 104 community-dwelling older adults participated in the study. The majority of participants were female (52.9%) and had a mean age of 63.77 ± 4.74 years. The AR-SIB demonstrated good internal consistency with an overall KR-20 of 0.73 and excellent test-retest reliability (ICC

conclusionsThe AR-SIB is a reliable and valid tool to discriminate falls and screen for fall risk among Arabic-speaking community-dwelling older adults. The AR-SIB can facilitate the implementation of evidence-based fall prevention initiatives tailored to Arabic-speaking older adults.

Indexed as

Accidental FallsCenters for Disease Control and Prevention, U.S.Independent LivingAgedAged, 80 and overCross-Cultural ComparisonFemaleGeriatric AssessmentHumansMaleMiddle AgedPamphletsPsychometricsReproducibility of ResultsTranslationsUnited StatesFall preventionFall riskPsychometricsScreening toolTranslation

Identifiers

PMID39643887
PMCPMC11622674

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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.