Cargnin ZA, Schneider DG, de Souza MG, Vargas MADO, Tourinho FSV. Low back pain self-management mobile applications: a systematic review on digital platforms.
Rev Esc Enferm USP 2024;
58:e20230326. [PMID:
38875500 PMCID:
PMC11210980 DOI:
10.1590/1980-220x-reeusp-2023-0326en]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/27/2024] [Indexed: 06/16/2024] Open
Abstract
OBJECTIVE
To identify and analyze the features and quality of self-management support of mobile applications available in Brazil for chronic low back pain in adults.
METHOD
A systematic review on the Apple Store® and Google Play® digital platforms. The Self-Management Support Assessment Tool scale was used to assess self-management support and the Institute for Healthcare Informatics Functionality Score scale was used to assess functionality.
RESULTS
Seventeen applications were selected, which included around seven self-management skills. The applications that met the majority of self-management support skills were Pathways, Branch, Pancea, Pain Navigator, and Curable. The Curable, Branch and MoovButh applications had the highest scores, with ten features on the functionality scale.
CONCLUSION
Some applications have the potential to complement in-person treatment in terms of validity, acceptability and clinical usefulness in pain management. However, barriers such as lack of partnership between healthcare providers and patients, limited evidence-based content, social support, cultural relevance, cost, language, security and privacy can limit their sustained use. PROSPERO Registration: CRD42022382686.
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