Preliminary steps of the development of a Minimum Uniform Dataset applicable to the international wheelchair sector

María Luisa Toro-Hernández, Nancy Augustine, Padmaja Kankipati, Patricia Karg, Karen Rispin, Richard M Schein, Krithika Kandavel, Megan E D’Innocenzo, Mary Goldberg and Jonathan Pearlman

PLOS ONE, 2020, vol. 15, issue 9, 1-16

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0238851

DOI: 10.1371/journal.pone.0238851

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