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Article type: Review Article
Authors: Siebra, Clauirton A.a; b; * | Souto, Elaine Cappellazoc
Affiliations: [a] Informatics Center, Federal University of Paraiba, Joao Pessoa, Brazil | [b] CIn/Samsung Research and Development Lab, Recife, Brazil | [c] Health Science Center, Federal University of Paraiba, Joao Pessoa, Brazil
Correspondence: [*] Corresponding author: Clauirton A. Siebra, Informatics Center, Federal University of Paraiba, Joao Pessoa, Brazil. E-mail: clauirton@ci.ufpb.br.
Abstract: BACKGROUND: Health is a complex concept that involves diverse dimensions, such as physical condition, psychological state, and social relationships. Several mobile applications are being used to assess these dimensions and provide recommendations for behaviour changes. However, few studies consider the particularities of the motor disability (MD) population. OBJECTIVE: To identify (1) the current mobile support for MD individuals; (2) the health dimensions that are assessed; (3) if they consider specific interventions for the motor disability population; and (4) if health dimensions are holistically rather than individually considered to provide support for MD mobile users. METHOD: A systematic review was conducted to identify studies from the literature that could answer a pre-defined set of research questions. RESULTS: Fifteen from 111 initial studies were included in this review and they show that the mobile support presents several limitations, such as the lack of a multidimensional holist assessment and intervention process, when they intend to promote aspects of rehabilitation or prevention for the MD population. CONCLUSIONS: This study shows that mobile technology has a high potential to assist its users in managing overall dimensions that affect their health conditions. However, aspects of customization, holist reasoning and automated interventions still need to be considered.
Keywords: Motor disability, mHealth, multidimensional assessment, mobile intervention
DOI: 10.3233/TAD-190255
Journal: Technology and Disability, vol. 32, no. 1, pp. 51-57, 2020
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