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数字家庭运动计划治疗腰背、髋部和膝关节疼痛的上市后随访:时间序列和配对分析的回顾性观察研究。

Postmarketing Follow-Up of a Digital Home Exercise Program for Back, Hip, and Knee Pain: Retrospective Observational Study With a Time-Series and Matched-Pair Analysis.

机构信息

Centre for Digital Health Intervention, ETH Zürich, Zürich, Switzerland.

Institute for Implementation Science in Health Care, University of Zürich, Zürich, Switzerland.

出版信息

J Med Internet Res. 2023 Feb 27;25:e43775. doi: 10.2196/43775.

Abstract

BACKGROUND

Musculoskeletal conditions are the main drivers of global disease burden and cause significant direct and indirect health care costs. Digital health applications improve the availability of and access to adequate care. The German health care system established a pathway for the approval of "Digitale Gesundheitsanwendungen" (DiGAs; Digital Health Applications) as collectively funded medical services through the "Digitale-Versorgung-Gesetz" (Digital Health Care Act) in 2019.

OBJECTIVE

This article presents real-world prescription data collected through the smartphone-based home exercise program "Vivira," a fully approved DiGA, regarding its effect on self-reported pain intensity and physical inability in patients with unspecific and degenerative pain in the back, hip, and knee.

METHODS

This study included 3629 patients (71.8% [2607/3629] female; mean age 47 years, SD 14.2 years). The primary outcome was the self-reported pain score, which was assessed with a verbal numerical rating scale. The secondary outcomes were self-reported function scores. To analyze the primary outcome, we used a 2-sided Skillings-Mack test. For function scores, a time analysis was not feasible; therefore, we calculated matched pairs using the Wilcoxon signed-rank test.

RESULTS

Our results showed significant reductions in self-reported pain intensity after 2, 4, 8, and 12 weeks in the Skillings-Mack test (T=5308; P<.001). The changes were within the range of a clinically relevant improvement. Function scores showed a generally positive yet more variable response across the pain areas (back, hip, and knee).

CONCLUSIONS

This study presents postmarketing observational data from one of the first DiGAs for unspecific and degenerative musculoskeletal pain. We noted significant improvements in self-reported pain intensity throughout the observation period of 12 weeks, which reached clinical relevance. Additionally, we identified a complex response pattern of the function scores assessed. Lastly, we highlighted the challenges of relevant attrition at follow-up and the potential opportunities for evaluating digital health applications. Although our findings do not have confirmatory power, they illustrate the potential benefits of digital health applications to improve the availability of and access to medical care.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00024051; https://drks.de/search/en/trial/DRKS00024051.

摘要

背景

肌肉骨骼疾病是全球疾病负担的主要驱动因素,导致了大量直接和间接的医疗保健费用。数字健康应用提高了充足医疗保健的可及性和可获得性。德国医疗保健系统通过 2019 年的“数字化医疗保健法案”(Digitale-Versorgung-Gesetz)为“数字健康应用”(Digitale Gesundheitsanwendungen,DiGAs)建立了一条途径,将其作为共同资助的医疗服务进行审批。

目的

本文展示了通过基于智能手机的家庭锻炼计划“Vivira”收集的真实世界处方数据,该计划是一种完全批准的 DiGA,旨在针对背部、臀部和膝盖的非特异性和退行性疼痛患者的自我报告疼痛强度和身体活动能力方面,评估其效果。

方法

本研究纳入了 3629 名患者(71.8%[2607/3629]为女性;平均年龄 47 岁,标准差 14.2 岁)。主要结局是自我报告的疼痛评分,采用口头数字评分量表进行评估。次要结局是自我报告的功能评分。为了分析主要结局,我们使用了双侧 Skillings-Mack 检验。由于功能评分的时间分析不可行,因此我们使用 Wilcoxon 符号秩检验计算了匹配对。

结果

Skillings-Mack 检验结果显示,在 2、4、8 和 12 周后,自我报告的疼痛强度均显著降低(T=5308;P<.001)。这些变化在临床相关改善范围内。功能评分在背部、臀部和膝盖等疼痛区域显示出普遍的积极但更具变异性的反应。

结论

本研究提供了一种针对非特异性和退行性肌肉骨骼疼痛的首批 DiGAs 之一的上市后观察性数据。我们观察到在 12 周的观察期内,自我报告的疼痛强度显著改善,达到了临床相关的水平。此外,我们还发现了功能评分的复杂反应模式。最后,我们强调了随访时相关失访的挑战以及评估数字健康应用的潜在机会。尽管我们的研究结果没有确认效力,但它们说明了数字健康应用在改善医疗保健的可及性和可获得性方面的潜在益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dbb/10012010/0276974cca65/jmir_v25i1e43775_fig1.jpg

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