Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector.
Assistive products outcomes are needed globally to inform policy, practice, and drive investment. The International Society of Wheelchair Professionals developed a Minimum Uniform Dataset (MUD) for wheelchair services worldwide with the intent to gather data that is comparable globally. The MUD was...
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doaj-6a714541e1af4e3e90a4b891f49d4e692021-03-03T22:05:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159e023885110.1371/journal.pone.0238851Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector.María Luisa Toro-HernándezNancy AugustinePadmaja KankipatiPatricia KargKaren RispinRichard M ScheinKrithika KandavelMegan E D'InnocenzoMary GoldbergJonathan PearlmanAssistive products outcomes are needed globally to inform policy, practice, and drive investment. The International Society of Wheelchair Professionals developed a Minimum Uniform Dataset (MUD) for wheelchair services worldwide with the intent to gather data that is comparable globally. The MUD was developed with the participation of members from around the globe and its feasibility piloted at 3 sites. Three versions of the MUD are now available-a short form with 29 data points (available in English, Spanish, and French) and a standard version with 38 data points in English. Future work is to validate and complete the translation cycles followed by promoting the use of the MUD globally so that the data can be leveraged to inform policy, practice and direct investments.https://doi.org/10.1371/journal.pone.0238851 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
María Luisa Toro-Hernández Nancy Augustine Padmaja Kankipati Patricia Karg Karen Rispin Richard M Schein Krithika Kandavel Megan E D'Innocenzo Mary Goldberg Jonathan Pearlman |
spellingShingle |
María Luisa Toro-Hernández Nancy Augustine Padmaja Kankipati Patricia Karg Karen Rispin Richard M Schein Krithika Kandavel Megan E D'Innocenzo Mary Goldberg Jonathan Pearlman Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. PLoS ONE |
author_facet |
María Luisa Toro-Hernández Nancy Augustine Padmaja Kankipati Patricia Karg Karen Rispin Richard M Schein Krithika Kandavel Megan E D'Innocenzo Mary Goldberg Jonathan Pearlman |
author_sort |
María Luisa Toro-Hernández |
title |
Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. |
title_short |
Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. |
title_full |
Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. |
title_fullStr |
Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. |
title_full_unstemmed |
Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector. |
title_sort |
preliminary steps of the development of a minimum uniform dataset applicable to the international wheelchair sector. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2020-01-01 |
description |
Assistive products outcomes are needed globally to inform policy, practice, and drive investment. The International Society of Wheelchair Professionals developed a Minimum Uniform Dataset (MUD) for wheelchair services worldwide with the intent to gather data that is comparable globally. The MUD was developed with the participation of members from around the globe and its feasibility piloted at 3 sites. Three versions of the MUD are now available-a short form with 29 data points (available in English, Spanish, and French) and a standard version with 38 data points in English. Future work is to validate and complete the translation cycles followed by promoting the use of the MUD globally so that the data can be leveraged to inform policy, practice and direct investments. |
url |
https://doi.org/10.1371/journal.pone.0238851 |
work_keys_str_mv |
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