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Digital Apps to Improve Mobility in Adults with Neurological Conditions: A Health App-Focused Systematic Review

journal contribution
posted on 2024-05-05, 23:44 authored by Reem Rendell, Marina Pinheiro, Belinda Wang, Fiona McKayFiona McKay, Ashleigh Ewen, Catherine Carnegie, Erin Tikomaidelana, Zino Fattah, Leanne Hassett
The provision of mobility exercises through a smartphone application (app) for people undertaking neurological rehabilitation may improve mobility outcomes. However, it is difficult for clinicians and consumers to select high-quality, appropriate apps. This review aimed to identify (1) which mobile health (mHealth) apps are suitable for prescribing mobility exercises for adults with neurological health conditions, (2) how well these apps incorporate telehealth strategies, and (3) how well these apps rate in terms of quality and capacity for behaviour change. The Australian Apple iTunes Store was systematically searched, by using a search code and manually, for apps suitable for training mobility in neurological rehabilitation. Additional searches were conducted in known app repositories and for web-based apps. Trained reviewers extracted data from the included apps, including population-specific characteristics; quality, by using the Mobile App Rating Scale (MARS); and behaviour change potential, by using the App Behaviour Change Scale (ABACUS). The included apps (n = 18) provided <50 to >10,000 exercises, many incurred a subscription fee (n = 13), and half included telehealth features. App quality was moderate (mean MARS score of 3.2/5 and SD of 0.5), and potential for behaviour change was poor (mean ABACUS score of 5.7/21 and SD of 2.1). A limited number of high-quality apps are available for the prescription of mobility exercises in people with neurological conditions.

History

Journal

Healthcare

Volume

12

Pagination

929-929

Location

Basel, Switizerland

eISSN

2227-9032

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

9

Publisher

MDPI

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