Suppr超能文献

对转型期军人使用移动应用程序的患者参与度评估。

Assessment of patient engagement with a mobile application among service members in transition.

作者信息

Pavliscsak Holly, Little Jeanette R, Poropatich Ronald K, McVeigh Francis L, Tong James, Tillman Johnie S, Smith Challis H, Fonda Stephanie Jo

机构信息

mHealth Research Project Manager, The Geneva Foundation, Assigned to the Mobile Health Care Innovation Center (MHIC), Telemedicine and Advanced Technology Research Center (TATRC), United States Army Medical Research and Materiel Command (USAMRMC), Fort Gordon, GA 30905,

Laboratory Lead, Mobile Health Innovation Center, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Materiel Command, Fort Gordon, GA, USA,

出版信息

J Am Med Inform Assoc. 2016 Jan;23(1):110-8. doi: 10.1093/jamia/ocv121. Epub 2015 Sep 11.

Abstract

OBJECTIVE

This article examines engagement with a mobile application ("mCare") for wounded Service Members rehabilitating in their communities. Many had behavioral health problems, Traumatic Brain Injury (TBI), and/or post-traumatic stress disorder (PTS). The article also examines associations between Service Members' background characteristics and their engagement with mCare.

MATERIALS AND METHODS

This analysis included participants who received mCare (n = 95) in a randomized controlled trial. mCare participants received status questionnaires daily for up to 36 weeks. Participant engagement encompasses exposure to mCare, percentage of questionnaires responded to, and response time. Participants were grouped by health status-that is, presence/absence of behavioral health problems, PTS, and/or TBI. Histograms and regression analyses examined engagement by participants' health status and background characteristics.

RESULTS

Exposure to mCare did not differ by health status. Participants usually responded to ≥60% of the questionnaires weekly, generally in ≤10 h; however, participants with behavioral health problems had several weeks with <50% response and the longest response times. Total questionnaires responded to and response time did not differ statistically by health status. Older age and higher General Well-Being Schedule scores were associated with greater and faster response.

DISCUSSION

The sustained response to the questionnaires suggests engagement. Overall level of response surpassed trends reported for American's usage of mobile applications. With a few exceptions, Service Members engaged with mCare irrespective of health status.

CONCLUSION

Mobile health has the potential to increase the quantity and quality of patient-provider communications in a community-based, rehabilitation care setting, above that of standard care.

摘要

目的

本文探讨了一款移动应用程序(“mCare”)在社区康复的受伤军人中的使用情况。许多军人存在行为健康问题、创伤性脑损伤(TBI)和/或创伤后应激障碍(PTS)。本文还研究了军人的背景特征与他们对mCare的使用之间的关联。

材料与方法

该分析纳入了在一项随机对照试验中接受mCare的参与者(n = 95)。mCare参与者每天接收状态问卷,最长持续36周。参与者的使用情况包括对mCare的接触、问卷回复率和回复时间。参与者按健康状况分组,即是否存在行为健康问题、PTS和/或TBI。通过直方图和回归分析研究参与者的健康状况和背景特征与使用情况的关系。

结果

不同健康状况的参与者对mCare的接触情况无差异。参与者通常每周回复≥60%的问卷,回复时间一般≤10小时;然而,有行为健康问题的参与者有几周回复率低于50%,且回复时间最长。不同健康状况的参与者回复的问卷总数和回复时间在统计学上无差异。年龄较大和总体幸福感量表得分较高与更高、更快的回复相关。

讨论

对问卷的持续回复表明参与者在使用该应用。总体回复水平超过了美国移动应用使用情况的报告趋势。除了少数例外,无论健康状况如何,军人都在使用mCare。

结论

在基于社区的康复护理环境中,移动健康有潜力提高患者与提供者沟通的数量和质量,超过标准护理。

相似文献

1
Assessment of patient engagement with a mobile application among service members in transition.
J Am Med Inform Assoc. 2016 Jan;23(1):110-8. doi: 10.1093/jamia/ocv121. Epub 2015 Sep 11.
3
mCare: using secure mobile technology to support soldier reintegration and rehabilitation.
Telemed J E Health. 2014 Jun;20(6):563-9. doi: 10.1089/tmj.2013.0226. Epub 2014 Mar 25.
4
A group memory rehabilitation programme for people with traumatic brain injuries: the ReMemBrIn RCT.
Health Technol Assess. 2019 Apr;23(16):1-194. doi: 10.3310/hta23160.
5
Using a Mobile Application in the Treatment of Dysregulated Anger Among Veterans.
Mil Med. 2017 Nov;182(11):e1941-e1949. doi: 10.7205/MILMED-D-17-00063.
6
Insomnia symptoms and behavioural health symptoms in veterans 1 year after traumatic brain injury.
Brain Inj. 2015;29(12):1400-8. doi: 10.3109/02699052.2015.1063161. Epub 2015 Aug 14.

引用本文的文献

1
Effects of mhealth applications on military personnel's physical and mental health: A systematic review.
Mil Psychol. 2025;37(3):199-207. doi: 10.1080/08995605.2024.2336640. Epub 2024 Mar 29.
2
Remote Follow-Up Technologies in Traumatic Brain Injury: A Scoping Review.
J Neurotrauma. 2022 Oct;39(19-20):1289-1317. doi: 10.1089/neu.2022.0138.
4
What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.
Telemed J E Health. 2022 Jun;28(6):768-780. doi: 10.1089/tmj.2021.0176. Epub 2021 Oct 11.
5
Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.
Card Electrophysiol Clin. 2021 Sep;13(3):555-567. doi: 10.1016/j.ccep.2021.05.002. Epub 2021 Jul 2.
6
Phenotypes of engagement with mobile health technology for heart rhythm monitoring.
JAMIA Open. 2021 Jun 12;4(2):ooab043. doi: 10.1093/jamiaopen/ooab043. eCollection 2021 Apr.

本文引用的文献

1
The course and impact of family optimism in the post-acute period after acquired brain injury.
Brain Inj. 2015;29(7-8):804-12. doi: 10.3109/02699052.2015.1004754. Epub 2015 Apr 14.
2
Role of mobile phone technology in tobacco cessation interventions.
Glob Heart. 2012 Jul;7(2):167-74. doi: 10.1016/j.gheart.2012.03.004.
4
Impacts of stress, self-efficacy, and optimism on suicide ideation among rehabilitation patients with acute pesticide poisoning.
PLoS One. 2015 Feb 13;10(2):e0118011. doi: 10.1371/journal.pone.0118011. eCollection 2015.
7
Mobile-Web app to self-manage low back pain: randomized controlled trial.
J Med Internet Res. 2015 Jan 2;17(1):e1. doi: 10.2196/jmir.3130.
8
Engaging patients with digital tools: what we think we know.
Hosp Pharm. 2014 Nov;49(10):992-3. doi: 10.1310/hpj4910-992.
9
Patient engagement: four case studies that highlight the potential for improved health outcomes and reduced costs.
Health Aff (Millwood). 2014 Sep;33(9):1627-34. doi: 10.1377/hlthaff.2014.0375.

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