Cross-cultural validation of the stroke riskometer using generalizability theory

Abstract The Stroke Riskometer mobile application is a novel, validated way to provide personalized stroke risk assessment for individuals and motivate them to reduce their risks. Although this app is being used worldwide, its reliability across different countries has not yet been rigorously invest...

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Autores principales:	Oleg Medvedev, Quoc Truong, Alexander Merkin, Robert Borotkanics, Rita Krishnamurthi, Valery Feigin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3e689f7fb5b948f99fbc831aa6110585
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spelling	oai:doaj.org-article:3e689f7fb5b948f99fbc831aa61105852021-12-02T18:48:23ZCross-cultural validation of the stroke riskometer using generalizability theory10.1038/s41598-021-98591-82045-2322https://doaj.org/article/3e689f7fb5b948f99fbc831aa61105852021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98591-8https://doaj.org/toc/2045-2322Abstract The Stroke Riskometer mobile application is a novel, validated way to provide personalized stroke risk assessment for individuals and motivate them to reduce their risks. Although this app is being used worldwide, its reliability across different countries has not yet been rigorously investigated using appropriate methodology. The Generalizability Theory (G-Theory) is an advanced statistical method suitable for examining reliability and generalizability of assessment scores across different samples, cultural and other contexts and for evaluating sources of measurement errors. G-Theory was applied to the Stroke Riskometer data sampled from 1300 participants in 13 countries using two-facet nested observational design (person by item nested in the country). The Stroke Riskometer demonstrated strong reliability in measuring stroke risks across the countries with coefficients G relative and absolute of 0.84, 95%CI [0.79; 0.89] and 0.82, 95%CI [0.76; 0.88] respectively. D-study analyses revealed that the Stroke Riskometer has optimal reliability in its current form in measuring stroke risk for each country and no modifications are required. These results suggest that the Stroke Riskometer’s scores are generalizable across sample population and countries permitting cross-cultural comparisons. Further studies investigating reliability of the Stroke Riskometer over time in longitudinal study design are warranted.Oleg MedvedevQuoc TruongAlexander MerkinRobert BorotkanicsRita KrishnamurthiValery FeiginNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Oleg Medvedev Quoc Truong Alexander Merkin Robert Borotkanics Rita Krishnamurthi Valery Feigin Cross-cultural validation of the stroke riskometer using generalizability theory
description	Abstract The Stroke Riskometer mobile application is a novel, validated way to provide personalized stroke risk assessment for individuals and motivate them to reduce their risks. Although this app is being used worldwide, its reliability across different countries has not yet been rigorously investigated using appropriate methodology. The Generalizability Theory (G-Theory) is an advanced statistical method suitable for examining reliability and generalizability of assessment scores across different samples, cultural and other contexts and for evaluating sources of measurement errors. G-Theory was applied to the Stroke Riskometer data sampled from 1300 participants in 13 countries using two-facet nested observational design (person by item nested in the country). The Stroke Riskometer demonstrated strong reliability in measuring stroke risks across the countries with coefficients G relative and absolute of 0.84, 95%CI [0.79; 0.89] and 0.82, 95%CI [0.76; 0.88] respectively. D-study analyses revealed that the Stroke Riskometer has optimal reliability in its current form in measuring stroke risk for each country and no modifications are required. These results suggest that the Stroke Riskometer’s scores are generalizable across sample population and countries permitting cross-cultural comparisons. Further studies investigating reliability of the Stroke Riskometer over time in longitudinal study design are warranted.
format	article
author	Oleg Medvedev Quoc Truong Alexander Merkin Robert Borotkanics Rita Krishnamurthi Valery Feigin
author_facet	Oleg Medvedev Quoc Truong Alexander Merkin Robert Borotkanics Rita Krishnamurthi Valery Feigin
author_sort	Oleg Medvedev
title	Cross-cultural validation of the stroke riskometer using generalizability theory
title_short	Cross-cultural validation of the stroke riskometer using generalizability theory
title_full	Cross-cultural validation of the stroke riskometer using generalizability theory
title_fullStr	Cross-cultural validation of the stroke riskometer using generalizability theory
title_full_unstemmed	Cross-cultural validation of the stroke riskometer using generalizability theory
title_sort	cross-cultural validation of the stroke riskometer using generalizability theory
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3e689f7fb5b948f99fbc831aa6110585
work_keys_str_mv	AT olegmedvedev crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory AT quoctruong crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory AT alexandermerkin crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory AT robertborotkanics crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory AT ritakrishnamurthi crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory AT valeryfeigin crossculturalvalidationofthestrokeriskometerusinggeneralizabilitytheory
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Cross-cultural validation of the stroke riskometer using generalizability theory

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