Injury prevention for older adults: A dataset of safety concern narratives from online reviews of mobility-related products

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dc.contributor.authorRestrepo, Felipeen
dc.contributor.authorMali, Namrataen
dc.contributor.authorSands, Laura P.en
dc.contributor.authorAbrahams, Alanen
dc.contributor.authorGoldberg, David M.en
dc.contributor.authorWhite, Janayen
dc.contributor.authorPrieto, Lauraen
dc.contributor.authorRactham, Peteren
dc.contributor.authorGruss, Richarden
dc.contributor.authorZaman, Nohelen
dc.contributor.authorEhsani, Johnathon P.en
dc.date.accessioned2022-06-09T13:05:41Zen
dc.date.available2022-06-09T13:05:41Zen
dc.date.issued2022-06en
dc.description.abstractOlder adults are among the fastest-growing demographic groups in the United States, increasing by over a third this past decade. Consequently, the older adult consumer prod-uct market has quickly become a multi-billion-dollar in-dustry in which millions of products are sold every year. However, the rapidly growing market raises the poten-tial for an increasing number of product safety concerns and consumer product-related injuries among older adults. Recent manufacturer and consumer injury prevention efforts have begun to turn towards online reviews, as these provide valuable information from which actionable, timely intelligence can be derived and used to detect safety concerns and prevent injury. The presented dataset contains 1966 curated online product reviews from consumers, equally distributed between safety concerns and non-concerns, pertaining to product categories typically intended for older adults. Identified safety concerns were manually sub-coded across thirteen dimensions designed to capture relevant aspects of the consumer's experience with the purchased product, facilitate the safety concern identification and sub-classification process, and serve as a gold-standard, balanced dataset for text classifier learning. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.description.notesThis project was supported by internal grants from the Data & Decision Sciences Center (D&DS) and the Institute for Society, Culture, and Environment (ISCE) Scholars Institute at Virginia Tech.en
dc.description.sponsorshipData & Decision Sciences Center (DDS); Institute for Society, Culture, and Environment (ISCE) Scholars Institute at Virginia Techen
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.dib.2022.108044en
dc.identifier.issn2352-3409en
dc.identifier.other108044en
dc.identifier.pmid35360047en
dc.identifier.urihttp://hdl.handle.net/10919/110515en
dc.identifier.volume42en
dc.language.isoenen
dc.publisherElsevieren
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSafety concernsen
dc.subjectHealth informaticsen
dc.subjectOlder adultsen
dc.subjectInjury preventionsen
dc.titleInjury prevention for older adults: A dataset of safety concern narratives from online reviews of mobility-related productsen
dc.title.serialData in Briefen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
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