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智能膝关节骨关节炎生活方式应用(iKOALA)对膝关节疼痛的影响。

Influence of the intelligent knee osteoarthritis lifestyle app (iKOALA) on knee joint pain.

机构信息

Department for Health, The University of Bath, Bath, BA2 7AY, UK.

Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, Bath, BA2 7AY, UK.

出版信息

BMC Musculoskelet Disord. 2024 Jan 24;25(1):90. doi: 10.1186/s12891-024-07198-3.

Abstract

BACKGROUND

The intelligent knee osteoarthritis lifestyle app (iKOALA) has been co-developed with target users to extend the support for physical activity (PA) and musculoskeletal health, beyond short-term structured rehabilitation, using personalised PA guidance, education, and social support. The purpose of this study was to assess the preliminary effectiveness and usability of the iKOALA digital intervention on indices of musculoskeletal (MSK) health, symptoms, and physical activity levels in a broad range of individuals with knee osteoarthritis (KOA) over 12 weeks to inform the design of a larger randomised controlled trial.

METHODS

Thirty-eight (33 female) participants living in the UK with a mean (SD) age of 58 (± 9) years diagnosed radiographically or clinically with KOA completed a 12-week user trial of the iKOALA. Participants completed an in-app physical activity questionnaire which intelligently recommended suitable strengthening and aerobic based activities to individuals. Throughout the trial, participants wore a physical activity monitor and were given access to functions within the app (physical activity (PA) reminders, information and education, symptom and PA tracking as well as social support forums) to support them in maintaining their PA plan. Participants completed a MSK questionnaire for chronic symptoms and quality of life (MSK-HQ) as well as an acute iKOALA symptoms questionnaire (confidence, fatigue, mood, pain during the day/night, sleep and ability to walk) in the week prior to starting and following completion of the trial.

RESULTS

Physical activity levels were consistent over the 12 weeks with total daily steps of 9102 (± 3514) in week 1, 9576 (± 4214) in week 6 and 9596 (± 3694) in week 12. Group mean changes in all iKOALA MSK symptom scores and the total MSK-HQ (pre 33.1 (7.6) vs. post 40.2 (7.6)) score improved significantly (p < .001, 95% CI [-8.89, -5.16]) over the 12-week period.

CONCLUSIONS

Physical activity levels were maintained at a high level throughout the 12 weeks. Significant improvements in mean MSK symptom scores and the total MSK-HQ score were also observed. Efforts to ensure more generalised reach amongst sex and socioeconomic status of the digital intervention in a randomised controlled clinical trial are warranted.

摘要

背景

智能膝骨关节炎生活方式应用程序(iKOALA)是与目标用户共同开发的,旨在通过个性化的体育活动指导、教育和社会支持,超越短期结构化康复,为体育活动和肌肉骨骼健康提供额外支持。本研究的目的是评估 iKOALA 数字干预措施在 12 周内对肌肉骨骼(MSK)健康、症状和身体活动水平的初步有效性和可用性,以指导更大规模随机对照试验的设计。

方法

38 名(33 名女性)参与者居住在英国,平均(SD)年龄为 58(±9)岁,通过放射学或临床诊断患有膝骨关节炎(KOA),完成了 iKOALA 的 12 周用户试验。参与者完成了应用内体育活动问卷,该问卷智能地为个人推荐合适的强化和有氧运动。在整个试验过程中,参与者佩戴活动监测器,并可使用应用程序中的功能(活动(PA)提醒、信息和教育、症状和 PA 跟踪以及社会支持论坛)来支持他们维持 PA 计划。参与者在开始试验前和试验结束后一周内完成了肌肉骨骼问卷慢性症状和生活质量(MSK-HQ)以及急性 iKOALA 症状问卷(信心、疲劳、情绪、白天/夜间疼痛、睡眠和行走能力)。

结果

在 12 周内,活动水平保持稳定,第 1 周的总每日步数为 9102(±3514),第 6 周为 9576(±4214),第 12 周为 9596(±3694)。iKOALA 所有肌肉骨骼症状评分和总 MSK-HQ(前 33.1(7.6)与后 40.2(7.6))评分的组平均变化在 12 周内显著改善(p<.001,95%CI[-8.89,-5.16])。

结论

在 12 周内,活动水平保持在较高水平。MSK 症状评分和总 MSK-HQ 评分也有显著改善。需要努力确保在随机对照临床试验中,数字干预措施在性别和社会经济地位方面得到更广泛的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85e1/10807134/7ee747b3425c/12891_2024_7198_Fig1_HTML.jpg

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