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.articlenumber | 106257 | |
| aut.relation.journal | J Pain | |
| aut.relation.startpage | 106257 | |
| aut.relation.volume | 43 | |
| dc.contributor.author | Chua, Jason | |
| dc.contributor.author | Slater, Helen | |
| dc.contributor.author | Rowbotham, Samantha | |
| dc.contributor.author | Hansen, Paul | |
| dc.contributor.author | Smith, Anne J | |
| dc.contributor.author | Lord, Susan M | |
| dc.contributor.author | O'Sullivan, Peter B | |
| dc.contributor.author | Tory, Breanna | |
| dc.contributor.author | Stinson, Jennifer N | |
| dc.contributor.author | Briggs, Andrew M | |
| dc.date.accessioned | 2026-03-23T02:23:40Z | |
| dc.date.available | 2026-03-23T02:23:40Z | |
| dc.date.issued | 2026-03-11 | |
| dc.description.abstract | Youth (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.citation | J Pain, ISSN: 1526-5900 (Print); 1528-8447 (Online), Elsevier BV, 43, 106257-. doi: 10.1016/j.jpain.2026.106257 | |
| dc.identifier.doi | 10.1016/j.jpain.2026.106257 | |
| dc.identifier.issn | 1526-5900 | |
| dc.identifier.issn | 1528-8447 | |
| dc.identifier.uri | http://hdl.handle.net/10292/20798 | |
| dc.language | eng | |
| dc.publisher | Elsevier BV | |
| dc.relation.uri | https://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.accessrights | OpenAccess | |
| dc.subject | Artificial intelligence | |
| dc.subject | Chronic musculoskeletal pain | |
| dc.subject | Digital heath technology | |
| dc.subject | Preferences | |
| dc.subject | Youth | |
| dc.subject | 32 Biomedical and Clinical Sciences | |
| dc.subject | 3202 Clinical Sciences | |
| dc.subject | 42 Health Sciences | |
| dc.subject | Pain Research | |
| dc.subject | Networking and Information Technology R&D (NITRD) | |
| dc.subject | Telehealth | |
| dc.subject | Chronic Pain | |
| dc.subject | 7.1 Individual care needs | |
| dc.subject | 11 Medical and Health Sciences | |
| dc.subject | 17 Psychology and Cognitive Sciences | |
| dc.subject | Anesthesiology | |
| dc.subject | 3202 Clinical sciences | |
| dc.subject | 4202 Epidemiology | |
| dc.title | 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 | |
| dc.type | Journal Article | |
| pubs.elements-id | 756267 |
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