Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
BMJ Open. 2021 Sep 13;11(9):e047921. doi: 10.1136/bmjopen-2020-047921.
Low back pain (LBP) and neck pain (NP) are common and costly conditions. Self-management is a key element in the care of persistent LBP and NP. Artificial intelligence can be used to support and tailor self-management interventions, but their effectiveness needs to be ascertained. The aims of this trial are (1) to evaluate the effectiveness of an individually tailored app-based self-management intervention (selfBACK) adjunct to usual care in people with LBP and/or NP in secondary care compared with usual care only, and (2) to compare the effectiveness of selfBACK with a web-based self-management intervention without individual tailoring (e-Help).
This is a randomised, assessor-blind clinical trial with three parallel arms: (1) selfBACK app adjunct to usual care; (2) e-Help website adjunct to usual care and (3) usual care only. Patients referred to St Olavs Hospital, Trondheim (Norway) with LBP and/or NP and accepted for assessment/treatment at the multidisciplinary outpatient clinic for back or neck rehabilitation are invited to the study. Eligible and consenting participants are randomised to one of the three arms with equal allocation ratio. We aim to include 279 participants (93 in each arm). Outcome variables are assessed at baseline (before randomisation) and at 6-week, 3-month and 6-month follow-up. The primary outcome is musculoskeletal health measured by the Musculoskeletal Health Questionnaire at 3 months. A mixed-methods process evaluation will document patients' and clinicians' experiences with the interventions. A health economic evaluation will estimate the cost-effectiveness of both interventions' adjunct to usual care.
The trial is approved by the Regional Committee for Medical and Health Research Ethics in Central Norway (Ref. 2019/64084). The results of the trial will be published in peer-review journals and presentations at national and international conferences relevant to this topic.
NCT04463043.
下背痛(LBP)和颈痛(NP)是常见且代价高昂的病症。自我管理是持续 LBP 和 NP 护理的关键要素。人工智能可用于支持和定制自我管理干预措施,但需要确定其有效性。本试验的目的是:(1)评估基于个体化 APP 的自我管理干预(selfBACK)与仅常规护理相比,在二级保健中对 LBP 和/或 NP 患者的附加效果,(2)比较自我BACK 与无个体化定制的基于网络的自我管理干预(e-Help)的效果。
这是一项随机、评估者盲法临床试验,分为三个平行组:(1)selfBACK APP 附加常规护理;(2)e-Help 网站附加常规护理;(3)仅常规护理。在挪威特隆赫姆的圣奥拉夫医院就诊的下背痛和/或 NP 患者,并在多学科门诊背部或颈部康复诊所接受评估/治疗的患者,被邀请参加该研究。符合条件且同意参加的参与者按比例随机分为三组。我们计划纳入 279 名参与者(每组 93 名)。在基线(随机分组前)和 6 周、3 个月和 6 个月随访时评估结局变量。主要结局是 3 个月时使用肌肉骨骼健康问卷(Musculoskeletal Health Questionnaire)测量的肌肉骨骼健康。混合方法的过程评估将记录患者和临床医生对干预措施的体验。健康经济学评估将估计两种干预措施附加常规护理的成本效益。
该试验已获得挪威中南部地区医学和健康研究伦理委员会的批准(参考号 2019/64084)。试验结果将发表在同行评议期刊上,并在与该主题相关的国家和国际会议上进行介绍。
NCT04463043。