Evidence map›Paper›PMID 36568715›Full record

ArticleBulletin of emergency and trauma2022

Psychometric Properties of EQ-5D-3L Applied through Phone Follow-Ups: An Experience in PERSIAN Traffic Cohort.

Nasrin Shahedifar, Homayoun Sadeghi-Bazargani, Mohammad Asghari-Jafarabadi, Mostafa Farahbakhsh, Shahrzad Bazargan-Hejazi, Alireza Razzaghi, Mina Golestani, Faramarz Pourasghar

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In one paragraph

Article in Bulletin of emergency and trauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 4 countries.

Nasrin ShahedifarRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Asghari-JafarabadiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mostafa FarahbakhshResearch Center of Psychiatry and Behavioural Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Shahrzad Bazargan-HejaziCollege of Medicine, Charles Drew University of Medicine and Science, Los Angeles, California, USA.
Alireza RazzaghiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mina GolestaniRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Faramarz PourasgharDepartment of Medical Informatics, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IRCharles R. Drew University of Medicine and Science · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess psychometric properties of the European Quality of Life 5-Dimension 3-Level Version (EQ-5D-3L) commonly used tool for measuring road traffic injury (RTI) patients' quality of life. Methods: The psychometric study assessed the reliability and applicability of EQ-5D-3L through phone surveys, based on a national cohort platform. Data of 150 RTI patients recruited from the cohort study were included as 50 patients per each follow-up phase (one, six, and twelve months after discharge). A 12- day-time span was between test and retest. We measured psychometric properties (internal consistency reliability and stability reliability) and agreement using Kappa coefficients and percentages of agreement and Bland-Altman method. Data were analysed using software STATA statistical package. Results: The majority of patients were men (80%) with mean age (SD) of 41(14.7%), employed (78%) and educated (86%). The Persian version represented high internal consistency reliability at total level (Cronbach's α=0.81) and moderate to good reliability at phase levels (0.62-0.87). The stability reliability was excellent at total (ICC=0.98, 95% CI: 0.97, 0.98) and phase levels (0.97-0.98. The kappa agreement coefficients were valued moderate to perfect (0.6-0.8, Conclusion: The study revealed that EQ-5D-3L was highly reliable and responsive to be applied through phone interviews at three different times post injury and discharge, as no previous study considered its psychometric properties at various phone follow-ups after RTIs.

Indexed as

Cohort studyEQ-5D-3LPost injuryQuality of lifeRoad traffic injury

Identifiers

PMID36568715
PMCPMC9758709
OpenAlexW4312211226

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