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What Are the Valued Attributes and Perceived Risks of Harm in Digital Technologies and AI-enabled Digital Coaches Among Youth Living With Chronic Musculoskeletal Pain? An Exploratory, Mixed-methods Study

aut.relation.articlenumber106257
aut.relation.journalJ Pain
aut.relation.startpage106257
aut.relation.volume43
dc.contributor.authorChua, Jason
dc.contributor.authorSlater, Helen
dc.contributor.authorRowbotham, Samantha
dc.contributor.authorHansen, Paul
dc.contributor.authorSmith, Anne J
dc.contributor.authorLord, Susan M
dc.contributor.authorO'Sullivan, Peter B
dc.contributor.authorTory, Breanna
dc.contributor.authorStinson, Jennifer N
dc.contributor.authorBriggs, Andrew M
dc.date.accessioned2026-03-23T02:23:40Z
dc.date.available2026-03-23T02:23:40Z
dc.date.issued2026-03-11
dc.description.abstractYouth (16-24 years) experiencing chronic musculoskeletal pain (CMP) value access to digitally-supportive care. Adopting a three-phase design, we aimed to identify and validate youth's preferences for digital health solutions (DHSs) to support their CMP self-care and measure their preferences for artificial intelligence (AI)-enabled digital coaches and perceived risks of harm. Phase 1 involved focus groups with 20 youth experiencing CMP, applying content analysis to explore the attributes they consider when choosing digitally-supportive care. Phase 2 involved a two-round eDelphi (n=20 youth) to validate attributes identified in Phase 1, rank the importance of digital coach-related attributes, and identify risks of harm with digitally-supportive CMP care. Phase 3 involved two discrete choice experiments (n=41 youth) to measure preferences for digital coach-related attributes and risks of harm. Phase 1 produced 31 discrete attributes of DHSs (11 digital coach-related). Phase 2 validated 31 attributes and identified six risks of harm. Phase 3 identified three most preferred digital coach-related attributes (sample mean[SD] weights representing relative importance): 'Generates a pain self-care plan' (19·6[14·5]%); 'Learns my preferences for my pain self-care' (15·9[12·9]%); and 'Supports my healthcare visits' (11·1[12·4]%). The three most concerning risks of harm were: 'Quality of pain care advice and guidance' (31·8[17·3]%); 'Information being consistent with advice from my healthcare team' (25·8[17·5]%); and 'Data security protections' (14·8[17·6]%). Youth consider a range of attributes and potential harms of DHSs to support their CMP care; a subset appears to be most important. These attributes and risks of harm should be considered in co-design of digitally-supportive CMP care for youth. PERSPECTIVE: The results identify that a subset of digital coach-related attributes and risks of harm dominate youth's preferences for digitally-supportive chronic musculoskeletal pain care. These attributes and risks of harm should be considered in co-design of digital health solutions, and in positioning a solution within a clinical care ecosystem.
dc.identifier.citationJ Pain, ISSN: 1526-5900 (Print); 1528-8447 (Online), Elsevier BV, 43, 106257-. doi: 10.1016/j.jpain.2026.106257
dc.identifier.doi10.1016/j.jpain.2026.106257
dc.identifier.issn1526-5900
dc.identifier.issn1528-8447
dc.identifier.urihttp://hdl.handle.net/10292/20798
dc.languageeng
dc.publisherElsevier BV
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1526590026000751
dc.rights© 2026 The Author(s). Published by Elsevier Inc. on behalf of United States Association for the Study of Pain, Inc. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
dc.rights.accessrightsOpenAccess
dc.subjectArtificial intelligence
dc.subjectChronic musculoskeletal pain
dc.subjectDigital heath technology
dc.subjectPreferences
dc.subjectYouth
dc.subject32 Biomedical and Clinical Sciences
dc.subject3202 Clinical Sciences
dc.subject42 Health Sciences
dc.subjectPain Research
dc.subjectNetworking and Information Technology R&D (NITRD)
dc.subjectTelehealth
dc.subjectChronic Pain
dc.subject7.1 Individual care needs
dc.subject11 Medical and Health Sciences
dc.subject17 Psychology and Cognitive Sciences
dc.subjectAnesthesiology
dc.subject3202 Clinical sciences
dc.subject4202 Epidemiology
dc.titleWhat Are the Valued Attributes and Perceived Risks of Harm in Digital Technologies and AI-enabled Digital Coaches Among Youth Living With Chronic Musculoskeletal Pain? An Exploratory, Mixed-methods Study
dc.typeJournal Article
pubs.elements-id756267

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