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本文引用的文献

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The burden of incontinence in a real-world data environment-insights from a digital patient companion.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。
Int Urogynecol J. 2022 Apr;33(4):977-984. doi: 10.1007/s00192-021-04683-4. Epub 2021 Mar 11.
2
Use of mobile apps for controlling of the urinary incontinence: A systematic review.使用移动应用程序控制尿失禁:系统评价。
Neurourol Urodyn. 2020 Apr;39(4):1036-1048. doi: 10.1002/nau.24335. Epub 2020 Mar 18.
3
Mobile health technologies for the management of systemic lupus erythematosus: a systematic review.移动医疗技术在系统性红斑狼疮管理中的应用:系统评价。
Lupus. 2020 Feb;29(2):144-156. doi: 10.1177/0961203319897139. Epub 2020 Jan 10.
4
Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study.探索移动健康解决方案对产后盆底肌肉训练的影响: 初步随机对照可行性研究。
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Mobile technologies for the conservative self-management of urinary incontinence: a systematic scoping review.移动技术在尿失禁保守自我管理中的应用:系统范围界定综述。
Int Urogynecol J. 2020 Jun;31(6):1163-1174. doi: 10.1007/s00192-019-04012-w. Epub 2019 Jul 2.
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The Adherence of Home Pelvic Floor Muscles Training Using a Mobile Device Application for Women With Urinary Incontinence: A Randomized Controlled Trial.使用移动设备应用程序对尿失禁女性进行家庭盆底肌肉训练的依从性:一项随机对照试验。
Female Pelvic Med Reconstr Surg. 2020 Nov;26(11):697-703. doi: 10.1097/SPV.0000000000000670.
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The prevalence of urinary incontinence.尿失禁的患病率。
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Pelvic floor muscle knowledge and relationship with muscle strength in Brazilian women: a cross-sectional study.巴西女性盆底肌肉知识及其与肌肉力量的关系:一项横断面研究。
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An ideal e-health system for pelvic floor muscle training adherence: Systematic review.理想的盆底肌训练依从性电子健康系统:系统评价。
Neurourol Urodyn. 2019 Jan;38(1):63-80. doi: 10.1002/nau.23835. Epub 2018 Oct 30.
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移动健康技术在尿失禁管理中的应用:巴西在线商店的系统评价。

Mobile health technologies for the management of urinary incontinence: A systematic review of online stores in Brazil.

机构信息

Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, Brazil.

Department of Health Sciences, Ribeirao Preto Medical School, Universidade de São Paulo, Ribeirao Preto, Brazil.

出版信息

Braz J Phys Ther. 2021 Jul-Aug;25(4):387-395. doi: 10.1016/j.bjpt.2021.01.001. Epub 2021 Jan 13.

DOI:10.1016/j.bjpt.2021.01.001
PMID:33468447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8353310/
Abstract

BACKGROUND

Urinary incontinence (UI) is a serious condition for which often times insufficient non-surgical treatment options are provided or sought. Mobile health (mHealth) applications (apps) offer potential to assist with the self-management of UI.

OBJECTIVE

To perform a systematic review of available mHealth apps for UI in Brazil.

METHODS

A search for UI mHealth apps from the Google Play Store and AppStore in Brazil was performed by two independent reviewers on June 4 2020, and the quality of eligible mHealth apps was assessed using the Mobile App Rating Scale (MARS).

RESULTS

Of the 1111 mHealth apps found, 12 were eligible for inclusion. Four offered exclusively exercise programs, six offered exercise and educational content, and two offered tools to track patient-reported symptoms. The included apps scored poorly on the MARS quality scale, with a mean ± standard deviation score of 2.7 ± 0.6 on a 0-5 scale. Most apps scored poorly based on credibility, user interface and experience, and engagement.

CONCLUSION

Although there is growing interest in the development of mHealth technologies to support patients with UI, currently available tools in Brazil are of poor quality and limited functionality. Effective collaboration between industry and research is needed to develop new user-centered mHealth apps that can empower patients with UI.

摘要

背景

尿失禁(UI)是一种严重的疾病,通常提供或寻求的非手术治疗选择不足。移动健康(mHealth)应用程序(apps)有潜力帮助自我管理 UI。

目的

对巴西现有的 UI mHealth 应用程序进行系统评价。

方法

2020 年 6 月 4 日,两名独立评审员对巴西的 Google Play 商店和 AppStore 中的 UI mHealth 应用程序进行了搜索,并使用移动应用程序评级量表(MARS)评估合格的 mHealth 应用程序的质量。

结果

在发现的 1111 个 mHealth 应用程序中,有 12 个符合纳入标准。其中四个专门提供锻炼计划,六个提供锻炼和教育内容,两个提供跟踪患者报告症状的工具。包括的应用程序在 MARS 质量量表上得分较低,在 0-5 分的范围内平均得分为 2.7±0.6。大多数应用程序在可信度、用户界面和体验以及参与度方面得分较低。

结论

尽管人们对开发支持 UI 患者的 mHealth 技术越来越感兴趣,但巴西目前可用的工具质量差且功能有限。需要行业和研究之间的有效合作,开发新的以用户为中心的 mHealth 应用程序,为 UI 患者赋能。