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电子弗明汉心脏研究子代队列及Omni 1研究中的基线智能手机应用程序调查回复情况:电子队列研究

Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study.

作者信息

Rong Jian, Pathiravasan Chathurangi H, Zhang Yuankai, Faro Jamie M, Wang Xuzhi, Schramm Eric, Borrelli Belinda, Benjamin Emelia J, Liu Chunyu, Murabito Joanne M

机构信息

Department of Neurology, Boston University School of Medicine, Framingham, MA, United States.

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

出版信息

JMIR Aging. 2024 Dec 31;7:e64636. doi: 10.2196/64636.

DOI:10.2196/64636
PMID:39740111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11706443/
Abstract

BACKGROUND

Smartphone apps can be used to monitor chronic conditions and offer opportunities for self-assessment conveniently at home. However, few digital studies include older adults.

OBJECTIVE

We aim to describe a new electronic cohort of older adults embedded in the Framingham Heart Study including baseline smartphone survey return rates and survey completion rates by smartphone type (iPhone [Apple Inc] and Android [Google LLC] users). We also aim to report survey results for selected baseline surveys and participant experience with this study's app.

METHODS

Framingham Heart Study Offspring and Omni (multiethnic cohort) participants who owned a smartphone were invited to download this study's app that contained a range of survey types to report on different aspects of health including self-reported measures from the Patient-Reported Outcomes Measurement Information System (PROMIS). iPhone users also completed 4 tasks including 2 cognitive and 2 physical function testing tasks. Baseline survey return and completion rates were calculated for 12 surveys and compared between iPhone and Android users. We calculated standardized scores for the PROMIS surveys. The Mobile App Rating Scale (MARS) was deployed 30 days after enrollment to obtain participant feedback on app functionality and aesthetics.

RESULTS

We enrolled 611 smartphone users (average age 73.6, SD 6.3 y; n=346, 56.6% women; n=88, 14.4% Omni participants; 478, 78.2% iPhone users) and 596 (97.5%) returned at least 1 baseline survey. iPhone users had higher app survey return rates than Android users for each survey (range 85.5% to 98.3% vs 73.8% to 95.2%, respectively), but survey completion rates did not differ in the 2 smartphone groups. The return rate for the 4 iPhone tasks ranged from 80.9% (380/470) for the gait task to 88.9% (418/470) for the Trail Making Test task. The Electronic Framingham Heart Study participants had better standardized t scores in 6 of 7 PROMIS surveys compared to the general population mean (t score=50) including higher cognitive function (n=55.6) and lower fatigue (n=45.5). Among 469 participants who returned the MARS survey, app functionality and aesthetics was rated high (total MARS score=8.6 on a 1-10 scale).

CONCLUSIONS

We effectively engaged community-dwelling older adults to use a smartphone app designed to collect health information relevant to older adults. High app survey return rates and very high app survey completion rates were observed along with high participant rating of this study's app.

摘要

背景

智能手机应用程序可用于监测慢性病,并为在家中方便地进行自我评估提供机会。然而,很少有数字研究纳入老年人。

目的

我们旨在描述弗雷明汉心脏研究中一个新的老年电子队列,包括基线智能手机调查回复率以及按智能手机类型(iPhone [苹果公司] 和安卓 [谷歌公司] 用户)划分的调查完成率。我们还旨在报告选定基线调查的结果以及参与者对本研究应用程序的体验。

方法

邀请拥有智能手机的弗雷明汉心脏研究后代和全族裔队列参与者下载本研究的应用程序,该应用程序包含一系列调查类型,用于报告健康的不同方面,包括来自患者报告结局测量信息系统(PROMIS)的自我报告测量值。iPhone用户还完成了4项任务,包括2项认知和2项身体功能测试任务。计算了12项调查的基线调查回复率和完成率,并在iPhone和安卓用户之间进行了比较。我们计算了PROMIS调查的标准化分数。在入组30天后部署了移动应用评分量表(MARS),以获取参与者对应用程序功能和美观性的反馈。

结果

我们招募了611名智能手机用户(平均年龄73.6岁,标准差6.3岁;n = 346,56.6%为女性;n = 88,14.4%为全族裔队列参与者;478,78.2%为iPhone用户),596名(97.5%)返回了至少1份基线调查。对于每项调查,iPhone用户的应用程序调查回复率均高于安卓用户(范围分别为85.5%至98.3%和73.8%至95.2%),但两个智能手机组的调查完成率没有差异。4项iPhone任务的回复率范围从步态任务的80.9%(380/470)到连线测验任务的88.9%(418/470)。与总体人群均值(t分数 = 50)相比,电子弗雷明汉心脏研究参与者在7项PROMIS调查中的6项中具有更好的标准化t分数,包括更高的认知功能(n = 55.6)和更低的疲劳(n = 45.5)。在469名返回MARS调查的参与者中,应用程序功能和美观性被评为高分(MARS总分为1 - 10分制中的8.6分)。

结论

我们有效地促使社区居住的老年人使用一款旨在收集与老年人相关健康信息的智能手机应用程序。观察到较高的应用程序调查回复率和非常高的应用程序调查完成率,以及参与者对本研究应用程序的高评分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/179f72352b0a/aging-v7-e64636-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/c1e20bf55e8d/aging-v7-e64636-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/ecfbc3063dc5/aging-v7-e64636-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/6548256cb080/aging-v7-e64636-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/e8c2716df34f/aging-v7-e64636-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/179f72352b0a/aging-v7-e64636-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/c1e20bf55e8d/aging-v7-e64636-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/ecfbc3063dc5/aging-v7-e64636-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/6548256cb080/aging-v7-e64636-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/e8c2716df34f/aging-v7-e64636-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea4/11706443/179f72352b0a/aging-v7-e64636-g005.jpg

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本文引用的文献

1
Design Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis.移动应用程序设计指南:老年人系统评价和主题分析。
JMIR Mhealth Uhealth. 2023 Sep 21;11:e43186. doi: 10.2196/43186.
2
Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer's Disease Drug Development.捕捉重要的测量指标:物理行为的数字测量在阿尔茨海默病药物开发中的潜在价值。
J Alzheimers Dis. 2023;95(2):379-389. doi: 10.3233/JAD-230152.
3
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study.
电子弗明汉心脏研究中与长期使用数字设备相关的因素。
NPJ Digit Med. 2022 Dec 27;5(1):195. doi: 10.1038/s41746-022-00735-1.
4
Bridging the Technological Divide: Stigmas and Challenges With Technology in Digital Brain Health Studies of Older Adults.弥合技术鸿沟:老年人数字脑健康研究中技术的 stigma 与挑战
Front Digit Health. 2022 Apr 29;4:880055. doi: 10.3389/fdgth.2022.880055. eCollection 2022.
5
Digital Inclusion as Health Care - Supporting Health Care Equity with Digital-Infrastructure Initiatives.数字包容作为医疗保健——通过数字基础设施举措支持医疗保健公平性。
N Engl J Med. 2022 Mar 24;386(12):1101-1103. doi: 10.1056/NEJMp2115646. Epub 2022 Mar 19.
6
Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study.可穿戴设备信号和家庭血压数据在密歇根预测活动和健康临床轨迹(MIPACT)研究中的年龄、性别、种族、民族和临床表型中的表现:一项前瞻性、基于社区的观察性研究。
Lancet Digit Health. 2021 Nov;3(11):e707-e715. doi: 10.1016/S2589-7500(21)00138-2.
7
Using Digital Tools to Advance Alzheimer's Drug Trials During a Pandemic: The EU/US CTAD Task Force.利用数字工具在大流行期间推进阿尔茨海默病药物试验:欧盟/美国 CTAD 工作组。
J Prev Alzheimers Dis. 2021;8(4):513-519. doi: 10.14283/jpad.2021.36.
8
Barriers to learning a new technology to go online among older adults during the COVID-19 pandemic.老年人在 COVID-19 大流行期间学习上网新技术的障碍。
J Am Geriatr Soc. 2021 Nov;69(11):3051-3057. doi: 10.1111/jgs.17433. Epub 2021 Aug 29.
9
Remote smartphone monitoring of Parkinson's disease and individual response to therapy.帕金森病的远程智能手机监测及个体对治疗的反应。
Nat Biotechnol. 2022 Apr;40(4):480-487. doi: 10.1038/s41587-021-00974-9. Epub 2021 Aug 9.
10
Remote Research and Clinical Trial Integrity During and After the Coronavirus Pandemic.新冠疫情期间及之后的远程研究与临床试验的完整性
JAMA. 2021 May 18;325(19):1935-1936. doi: 10.1001/jama.2021.4609.