Suppr超能文献

一款用于亚健康管理的移动应用程序的可行性与有效性评估:一项随机对照试验的研究方案

Feasibility and effectiveness assessment of a mobile application for subhealth management: Study protocol for a randomized controlled trial.

作者信息

Shin Seungwon, Oh Hyunjoo, Kang Minsu, Park Minyoung, Koh Byung-Hee, Hwang Minwoo

机构信息

Clinical Trial Center, Korean Medicine Hospital, College of Korean Medicine, Kyung Hee University.

Medical and Oriental Comprehensive Healthcare Center, Kyung Hee University Hospital.

出版信息

Medicine (Baltimore). 2019 May;98(21):e15704. doi: 10.1097/MD.0000000000015704.

Abstract

INTRODUCTION

Mibyeongbogam (MBBG) is a mobile application developed for subhealth status self-management in the Republic of Korea. It aims to assess a user's subhealth status, and then to recommend relevant traditional Korean medicine (TKM)-based health-promoting strategies. The purpose of this study is to evaluate the feasibility and effectiveness of MBBG's employment for the subhealth management of general healthy adults.

METHODS

This is a prospective, open-label, parallel group, randomized controlled trial that will seek to enroll 150 healthy adults, aged 30 to 49 years old, from 2 hospitals in the Republic of Korea. The eligible participants will then be randomly allocated to either the MBBG or control group, at a 1:1 allocation ratio. The MBBG group will use the application for 12 weeks, while the control group will undergo no intervention. The awareness of subhealth status will be primarily assessed. Health promoting behaviors, quality of life, TKM-based health questionnaires, and physical examination results will be assessed as secondary outcomes.

DISCUSSION

The primary endpoint will be tested with a 2-sample t test, or a Wilcoxon rank sum test. Any other continuous variables will be tested via an analysis of covariance, while categorical variables will be tested by a Chi-squared or Fisher exact test. Repeated measure analysis of variance will be performed to explore any in-group differences. The results will be addressed with a 95% confidence interval. We expect that MBBG will be the 1st TKM-based mobile application to be feasible for primary care in subhealth management.

TRIAL REGISTRATION

CRIS (Clinical Research Information Service), KCT0003488, February 11, 2019.

摘要

引言

《未病宝鉴》(MBBG)是一款为韩国亚健康状态自我管理而开发的移动应用程序。其目的是评估用户的亚健康状态,然后推荐相关的基于韩医学(TKM)的健康促进策略。本研究的目的是评估使用MBBG进行一般健康成年人亚健康管理的可行性和有效性。

方法

这是一项前瞻性、开放标签、平行组随机对照试验,旨在从韩国的2家医院招募150名年龄在30至49岁之间的健康成年人。符合条件的参与者将以1:1的分配比例随机分配到MBBG组或对照组。MBBG组将使用该应用程序12周,而对照组不进行干预。将主要评估对亚健康状态的认识。健康促进行为、生活质量、基于韩医学的健康问卷和体格检查结果将作为次要结果进行评估。

讨论

主要终点将采用双样本t检验或Wilcoxon秩和检验进行测试。任何其他连续变量将通过协方差分析进行测试,而分类变量将通过卡方检验或Fisher精确检验进行测试。将进行重复测量方差分析以探索组内差异。结果将以95%置信区间表示。我们预计MBBG将成为首款基于韩医学的移动应用程序,在亚健康管理的初级保健中具有可行性。

试验注册

CRIS(临床研究信息服务),KCT0003488,2019年2月11日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeca/6571269/33040faae9a3/medi-98-e15704-g001.jpg

相似文献

本文引用的文献

1
Mobile Phone Interventions for Sleep Disorders and Sleep Quality: Systematic Review.
JMIR Mhealth Uhealth. 2017 Sep 7;5(9):e131. doi: 10.2196/mhealth.7244.
2
Developing an optimized cold/heat questionnaire.
Integr Med Res. 2015 Dec;4(4):225-230. doi: 10.1016/j.imr.2015.09.003. Epub 2015 Oct 3.
3
Recognition of and interventions for (subhealth) in South Korea: a national web-based survey of Korean medicine practitioners.
Integr Med Res. 2014 Jun;3(2):60-66. doi: 10.1016/j.imr.2013.09.001. Epub 2013 Sep 20.
4
Mobile Applications for Control and Self Management of Diabetes: A Systematic Review.
J Med Syst. 2016 Sep;40(9):210. doi: 10.1007/s10916-016-0564-8. Epub 2016 Aug 13.
5
Mobile Applications to Improve Medication Adherence.
Telemed J E Health. 2017 Feb;23(2):75-79. doi: 10.1089/tmj.2015.0227. Epub 2016 Jun 1.
7
SPIRIT 2013 statement: defining standard protocol items for clinical trials.
Ann Intern Med. 2013 Feb 5;158(3):200-7. doi: 10.7326/0003-4819-158-3-201302050-00583.
9
Development and evaluation of a questionnaire for measuring suboptimal health status in urban Chinese.
J Epidemiol. 2009;19(6):333-41. doi: 10.2188/jea.je20080086. Epub 2009 Sep 12.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验