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Cross-cultural validation of the stroke riskometer using generalizability theory
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 us...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463553/ https://www.ncbi.nlm.nih.gov/pubmed/34561539 http://dx.doi.org/10.1038/s41598-021-98591-8 |
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author | Medvedev, Oleg Truong, Quoc Cuong Merkin, Alexander Borotkanics, Robert Krishnamurthi, Rita Feigin, Valery |
author_facet | Medvedev, Oleg Truong, Quoc Cuong Merkin, Alexander Borotkanics, Robert Krishnamurthi, Rita Feigin, Valery |
author_sort | Medvedev, Oleg |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8463553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84635532021-09-27 Cross-cultural validation of the stroke riskometer using generalizability theory Medvedev, Oleg Truong, Quoc Cuong Merkin, Alexander Borotkanics, Robert Krishnamurthi, Rita Feigin, Valery Sci Rep Article 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. Nature Publishing Group UK 2021-09-24 /pmc/articles/PMC8463553/ /pubmed/34561539 http://dx.doi.org/10.1038/s41598-021-98591-8 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Medvedev, Oleg Truong, Quoc Cuong Merkin, Alexander Borotkanics, Robert Krishnamurthi, Rita Feigin, Valery Cross-cultural validation of the stroke riskometer using generalizability theory |
title | 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_short | Cross-cultural validation of the stroke riskometer using generalizability theory |
title_sort | cross-cultural validation of the stroke riskometer using generalizability theory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463553/ https://www.ncbi.nlm.nih.gov/pubmed/34561539 http://dx.doi.org/10.1038/s41598-021-98591-8 |
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