Evidence map›Paper›PMID 35326930›Full record

ArticleHealthcare (Basel, Switzerland)2022

Psychometric Properties of the European Portuguese Version of the Memorial Emergency Department Fall Risk Assessment Tool.

Maria Dos Anjos Coelho Rodrigues Dixe, Ana Querido, Susana Mendonça, Pedro Sousa, Helena Monteiro, Daniel Carvalho, Paulo Lopes, Pedro Rodrigues

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Maria Dos Anjos Coelho Rodrigues DixeCenter for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0001-9035-8548
Ana QueridoCenter for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0002-5021-773X
Susana MendonçaCenter for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0003-2971-945X
Pedro SousaCenter for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0002-6313-532X
Helena MonteiroHospital da Figueira da Foz, 3094-001 Figueira da Foz, Portugal.
Daniel CarvalhoCentro Hospitalar de Leiria, Rua das Olhalvas, 2410-197 Leiria, Portugal.
Paulo LopesCentro Hospitalar de Leiria, Rua das Olhalvas, 2410-197 Leiria, Portugal.
Pedro RodriguesCentro Hospitalar de Leiria, Rua das Olhalvas, 2410-197 Leiria, Portugal.ORCID 0000-0002-4234-1626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls are a public health problem that cause serious damage to people's health and health systems. This study aims to estimate the validity and reliability of the Memorial Emergency Department Fall Risk Assessment Tool for the European Portuguese population. The sample included 186 adults from an emergency department of a District Hospital in Portugal. Reliability and precision (inter-rater reliability) are assessed by two independent raters. The relationship between MEDFRAT and the Morse Fall Risk Scale is evaluated. All items presented a high Kappa index. The MEDFRAT showed a high and significant correlation with the Morse Fall Risk Scale. The influence of sociodemographic and clinical data was also checked. The MEDFRAT is adequate, valid and reliable for the European Portuguese population to assess the risk of falling of emergency department patients.

Indexed as

accidental fallsadulthospital emergency servicevalidation study

Identifiers

PMID35326930
PMCPMC8953166

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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.