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参与腰痛管理:数字公共卫生中的未来情景是时候了。

Participation in Low Back Pain Management: It Is Time for the To-Be Scenarios in Digital Public Health.

机构信息

Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.

出版信息

Int J Environ Res Public Health. 2022 Jun 25;19(13):7805. doi: 10.3390/ijerph19137805.

Abstract

Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health tool, the Dress-KINESIS, to support the traditional rehabilitation approach. The tool proposes targeted self-manageable exercise plans for improving pain and disability, but it also monitors their efficacy. Since LBP prevention is the key strategy, the tool also collects real-patient syndromic information, shares valid educational messages and fosters self-determined motivation to exercise. Our analysis is based on a comparison of the performance of the traditional rehabilitation process for non-specific LBP patients and some different scenarios, designed by including the Dress-KINESIS's support in the original process. The results of the simulations show that the integrated approach leads to a better capacity for taking on patients while maintaining the same physiotherapists' effort and costs, and it decreases healthcare costs during the two years following LBP onset. These findings suggest that the healthcare system should shift the paradigm towards citizens' participation and the digital support, with the aim of improving its efficiency and citizens' quality of life.

摘要

下背痛(LBP)具有慢性化和残疾的高风险,极大地影响了整体护理需求和成本,其治疗的依从性也存在风险。这项工作引入了一种基于使用移动健康工具 Dress-KINESIS 的新方案,以支持传统的康复方法。该工具提出了针对疼痛和残疾改善的可自我管理的靶向运动计划,但也监测其疗效。由于预防 LBP 是关键策略,因此该工具还收集真实患者的综合征信息,分享有效的教育信息,并促进自我决定锻炼的动力。我们的分析基于对非特异性 LBP 患者传统康复过程的性能的比较,以及通过在原始过程中包含 Dress-KINESIS 的支持来设计的一些不同场景。模拟结果表明,综合方法可以在保持相同治疗师的努力和成本的情况下,更好地接纳患者,并在 LBP 发作后的两年内降低医疗保健成本。这些发现表明,医疗保健系统应转向公民参与和数字支持的模式,以提高其效率和公民的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2635/9265691/d7f1a66858a4/ijerph-19-07805-g001.jpg

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