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Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey
BACKGROUND: The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273944/ https://www.ncbi.nlm.nih.gov/pubmed/34253263 http://dx.doi.org/10.1186/s13690-021-00654-9 |
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author | Sabariego, Carla Fellinghauer, Carolina Lee, Lindsay Posarac, Aleksandra Bickenbach, Jerome Kostanjsek, Nenad Chatterji, Somnath Kamenov, Kaloyan Cieza, Alarcos |
author_facet | Sabariego, Carla Fellinghauer, Carolina Lee, Lindsay Posarac, Aleksandra Bickenbach, Jerome Kostanjsek, Nenad Chatterji, Somnath Kamenov, Kaloyan Cieza, Alarcos |
author_sort | Sabariego, Carla |
collection | PubMed |
description | BACKGROUND: The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability trends and for data disaggregation, WHO developed the brief MDS. The objectives of this paper are to evaluate the metric properties of the disability metrics generated with the Brief MDS and the precision of the Brief MDS in comparison with the full MDS. RESULTS: The partial credit model, a unidimensional model for polytomous data from the Rasch family, was applied to evaluate psychometric properties using data from national MDS implementations in Chile (N = 12,265) and in Sri Lanka (N = 3000). The Brief MDS generates valid metrics for measuring disability, from the perspectives of capacity and performance, thereby achieving good levels of measurement precision in comparison with its full counterpart. CONCLUSION: Given the scarcity of valid functioning and disability modules for household surveys, the Brief MDS represents a milestone in disability measurement. The Brief MDS is currently used by countries to monitor disability trends over time, which is especially important to evaluate the impact of health policies and public health interventions, to disaggregate indicators of the Sustainable Development Goals, and to monitor the implementation of the UN Convention on the Rights of Persons with Disabilities (CRPD). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00654-9. |
format | Online Article Text |
id | pubmed-8273944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82739442021-07-12 Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey Sabariego, Carla Fellinghauer, Carolina Lee, Lindsay Posarac, Aleksandra Bickenbach, Jerome Kostanjsek, Nenad Chatterji, Somnath Kamenov, Kaloyan Cieza, Alarcos Arch Public Health Methodology BACKGROUND: The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability trends and for data disaggregation, WHO developed the brief MDS. The objectives of this paper are to evaluate the metric properties of the disability metrics generated with the Brief MDS and the precision of the Brief MDS in comparison with the full MDS. RESULTS: The partial credit model, a unidimensional model for polytomous data from the Rasch family, was applied to evaluate psychometric properties using data from national MDS implementations in Chile (N = 12,265) and in Sri Lanka (N = 3000). The Brief MDS generates valid metrics for measuring disability, from the perspectives of capacity and performance, thereby achieving good levels of measurement precision in comparison with its full counterpart. CONCLUSION: Given the scarcity of valid functioning and disability modules for household surveys, the Brief MDS represents a milestone in disability measurement. The Brief MDS is currently used by countries to monitor disability trends over time, which is especially important to evaluate the impact of health policies and public health interventions, to disaggregate indicators of the Sustainable Development Goals, and to monitor the implementation of the UN Convention on the Rights of Persons with Disabilities (CRPD). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00654-9. BioMed Central 2021-07-12 /pmc/articles/PMC8273944/ /pubmed/34253263 http://dx.doi.org/10.1186/s13690-021-00654-9 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Sabariego, Carla Fellinghauer, Carolina Lee, Lindsay Posarac, Aleksandra Bickenbach, Jerome Kostanjsek, Nenad Chatterji, Somnath Kamenov, Kaloyan Cieza, Alarcos Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title | Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title_full | Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title_fullStr | Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title_full_unstemmed | Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title_short | Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey |
title_sort | measuring functioning and disability using household surveys: metric properties of the brief version of the who and world bank model disability survey |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273944/ https://www.ncbi.nlm.nih.gov/pubmed/34253263 http://dx.doi.org/10.1186/s13690-021-00654-9 |
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