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数字与模拟物理治疗联合用于肌肉骨骼疾病及慢性指标患者:德国索赔数据分析

Combined Use of Digital and Analog Physical Therapy in Patients With Musculoskeletal Disorders and Indicators of Chronicity: German Claims Data Analysis.

作者信息

Frey Silke, Schmitz Annika, Schneider Udo, Kerkemeyer Linda, Weltermann Birgitta

机构信息

Institute of General Practice and Family Medicine, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, Bonn, 53127, Germany, +49 228 287 11156.

Techniker Krankenkasse, Hamburg, Germany.

出版信息

JMIR Mhealth Uhealth. 2025 Jun 9;13:e63935. doi: 10.2196/63935.

Abstract

BACKGROUND

Musculoskeletal disorders are highly prevalent worldwide and contribute significantly to the overall burden of disease. Regular physical therapy with trained physiotherapists is recommended in the guidelines. Recently, digital physical therapy offered by digital health interventions was shown to be effective. However, the evidence on its real-world usage in health care systems is limited.

OBJECTIVE

Based on claims data, this study examined the current usage of digital health applications (DiGAs) for musculoskeletal disorders in the German health care system. Patients with standalone digital physical therapy were compared to those with a combination of analog and digital physical therapy. In addition, predictors for concomitant use were identified.

METHODS

This retrospective cohort study analyzed claims data from Germany's largest statutory health insurance. Patients who used DiGA for musculoskeletal disorders at least once were included. Sociodemographic and medical characteristics of patients receiving standalone and concomitant physical therapy were compared. Statistical analyses comprised univariate analyses and binomial logistic regression.

RESULTS

Of the 6090 individuals, 58.2% (3543/6090) were prescribed physical therapy within 6 months before or after DiGA prescription. In this population, 36.3% (2210/6090) used DiGA and analog physical therapy at the same time. Concomitant physical therapy was significantly more likely in patients with chronicity risk (odds ratio [OR] 1.49, 95% CI 1.31-1.69; P<.001) or established chronicity (OR 2.76, 95% CI 2.22-3.47; P<.001), female gender (OR 1.48, 95% CI 1.33-1.66; P<.001), and higher age (OR 1.02, 95% CI 1.02-1.02; P<.001).

CONCLUSIONS

The findings highlight the diverse utilization patterns of DiGAs among patients with musculoskeletal disorders. Chronicity emerged as an important predictor for combined digital and analog physical therapy. These findings support considerations on integrating digital health interventions into current guidelines.

摘要

背景

肌肉骨骼疾病在全球范围内高度流行,对整体疾病负担有重大影响。指南推荐由训练有素的物理治疗师进行定期物理治疗。最近,数字健康干预提供的数字物理治疗被证明是有效的。然而,其在医疗保健系统中的实际使用证据有限。

目的

基于理赔数据,本研究调查了德国医疗保健系统中数字健康应用程序(DiGAs)在肌肉骨骼疾病方面的当前使用情况。将接受独立数字物理治疗的患者与接受模拟和数字物理治疗相结合的患者进行比较。此外,还确定了同时使用的预测因素。

方法

这项回顾性队列研究分析了德国最大的法定健康保险的理赔数据。纳入至少使用过一次DiGAs治疗肌肉骨骼疾病的患者。比较了接受独立和联合物理治疗的患者的社会人口统计学和医学特征。统计分析包括单变量分析和二项逻辑回归。

结果

在6090名个体中,58.2%(3543/6090)在DiGAs处方前后6个月内接受了物理治疗。在该人群中,36.3%(2210/6090)同时使用了DiGAs和模拟物理治疗。慢性风险患者(优势比[OR]1.49,95%CI 1.31-1.69;P<.001)或已确诊慢性病患者(OR 2.76,95%CI 2.22-3.47;P<.001)、女性(OR 1.48,95%CI 1.33-1.66;P<.001)和年龄较大者(OR 1.02,95%CI 1.02-1.02;P<.001)同时接受物理治疗的可能性显著更高。

结论

研究结果突出了DiGAs在肌肉骨骼疾病患者中的不同使用模式。慢性病是数字和模拟物理治疗联合使用的重要预测因素。这些发现支持将数字健康干预纳入现行指南的考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7010/12168610/5e8715fffc20/mhealth-v13-e63935-g001.jpg

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