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真实世界数据环境下尿失禁负担:来自数字患者伴侣的观察。

The burden of incontinence in a real-world data environment-insights from a digital patient companion.

机构信息

Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany.

Temedica GmbH, Munich, Germany.

出版信息

Int Urogynecol J. 2022 Apr;33(4):977-984. doi: 10.1007/s00192-021-04683-4. Epub 2021 Mar 11.

Abstract

INTRODUCTION AND HYPOTHESIS

Urinary incontinence (UI) has a potentially devastating effect on women's quality of life (QoL). Conservative treatment by means of pelvic floor muscle training is the first-choice treatment modality. Nowadays, this can be supported by digital apps like pelvina©-a digital health companion pelvic floor course.

METHODS

Using pelvina©, UI symptoms and QoL are regularly examined through the questionnaires QUID and SF-6D. Subsequently, we analyzed the incidence and degree of UI and its impact on QoL in 293 users in a real-world environment.

RESULTS

The 293 patients included in this study had a median age of 36 years and a median of two children. Patients were slightly to moderately affected by UI with a QUID of 6 (2-11, maximum 24). Age and number of children were independently associated with the incidence of UI with an adjusted odds ratio (aOR) of 1.06 (95% CI 1.01-1.12) and aOR of 1.86 (95% CI 1.12-3.08). The severity of UI strongly correlated with impairment of QoL (ρ = 0.866, P < 0.001).

CONCLUSIONS

The use of real-world data generated by digital health solutions offers the opportunity to gain insight into the reality of patients' lives. In this article, we corroborate the known associations between number of children and UI as well as the great influence UI has on QoL. This study shows that, in the future, the use of digital apps can make an important contribution to scientific data acquisition and, for example, therapy monitoring.

摘要

简介和假设

尿失禁(UI)对女性的生活质量(QoL)有潜在的破坏性影响。通过盆底肌肉训练进行保守治疗是首选的治疗方式。如今,这可以通过 pelvina©等数字应用程序得到支持,pelvina©是一种数字健康伴侣盆底课程。

方法

使用 pelvina©,通过问卷 QUID 和 SF-6D 定期检查 UI 症状和 QoL。随后,我们在真实环境中分析了 293 名用户的 UI 发生率、程度及其对 QoL 的影响。

结果

这项研究共纳入 293 名患者,中位年龄为 36 岁,中位生育子女数为 2 个。患者的 UI 程度较轻至中度,QUI 评分为 6(2-11,最高 24)。年龄和生育子女数与 UI 的发生率独立相关,调整后的优势比(aOR)分别为 1.06(95%CI 1.01-1.12)和 1.86(95%CI 1.12-3.08)。UI 的严重程度与 QoL 的损害呈强相关(ρ=0.866,P<0.001)。

结论

使用数字健康解决方案生成的真实世界数据提供了深入了解患者生活现实的机会。本文证实了已知的生育子女数与 UI 之间的关联,以及 UI 对 QoL 的巨大影响。本研究表明,未来数字应用程序的使用可以为科学数据收集做出重要贡献,例如治疗监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0443/9021080/81ad4641f8d8/192_2021_4683_Fig1_HTML.jpg

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