Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study.

Q2 Medicine
JMIR Cardio Pub Date : 2024-11-26 DOI:10.2196/52266
Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa, Takahiro Tabuchi
{"title":"Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study.","authors":"Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa, Takahiro Tabuchi","doi":"10.2196/52266","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To prevent the further development of cardiovascular diseases, it is a growing global priority to detect untreated hypertension in patients and ensure adequate blood pressure control via drug therapy. However, few effective tools that facilitate the initiation of antihypertensive medications among such patients have been identified.</p><p><strong>Objective: </strong>We aimed to determine whether a mobile health (mHealth) app facilitates the initiation of antihypertensive medications among patients with untreated hypertension.</p><p><strong>Methods: </strong>We analyzed a large longitudinal integrated database mainly comprised of data from middle-aged, employed people and their families. The database contained data from health checkups, health insurance claims, and the mHealth app kencom. kencom is used to manage daily life logs (eg, weight, number of steps) and to provide health information tailored to customers. Patients with untreated hypertension were identified using the baseline health checkup data, and follow-up health checkups were conducted to identify the rate of initiation of antihypertensive medications between mHealth app users and nonusers. Antihypertensive medication status was confirmed via a questionnaire administered during the medical checkup as well as a review of the health insurance claims database. We conducted a modified Poisson regression analysis, weighted by inverse probability of treatment weighting, to examine the effect of mHealth app usage on the initiation of antihypertensive medications. Additionally, data from four lifestyle questionnaires from the baseline and follow-up health checkups were collected to evaluate lifestyle modifications that could be attributed to the mHealth app.</p><p><strong>Results: </strong>Data were collected from 50,803 eligible patients (mean age 49, SD 9 years; men n=39,412, 77.6%; women n=11,391, 22.4%) with a median follow-up period of 3.0 (IQR 2.3-3.1) years. The rate of initiation of antihypertensive medications was significantly higher in the mHealth app user group than in the nonuser group: 23.4% (3482/14,879) versus 18.5% (6646/35,924; P<.001), respectively. The risk ratio of mHealth app usage for initiated antihypertensive medications was 1.28 (95% CI 1.23-1.33). Among those who did not intend to improve their lifestyle habits such as exercise and diet at baseline, the rate of lifestyle improvement at follow-up was compared between mHealth app users and nonusers, using data from the questionnaires; mHealth app users demonstrated a significantly higher rate of lifestyle changes than nonusers.</p><p><strong>Conclusions: </strong>For patients with untreated hypertension, the use of the mHealth app kencom, which was not dedicated to hypertension treatment, was associated with a higher initiation of antihypertensive medications.</p>","PeriodicalId":14706,"journal":{"name":"JMIR Cardio","volume":"8 ","pages":"e52266"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11612529/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Cardio","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/52266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Background: To prevent the further development of cardiovascular diseases, it is a growing global priority to detect untreated hypertension in patients and ensure adequate blood pressure control via drug therapy. However, few effective tools that facilitate the initiation of antihypertensive medications among such patients have been identified.

Objective: We aimed to determine whether a mobile health (mHealth) app facilitates the initiation of antihypertensive medications among patients with untreated hypertension.

Methods: We analyzed a large longitudinal integrated database mainly comprised of data from middle-aged, employed people and their families. The database contained data from health checkups, health insurance claims, and the mHealth app kencom. kencom is used to manage daily life logs (eg, weight, number of steps) and to provide health information tailored to customers. Patients with untreated hypertension were identified using the baseline health checkup data, and follow-up health checkups were conducted to identify the rate of initiation of antihypertensive medications between mHealth app users and nonusers. Antihypertensive medication status was confirmed via a questionnaire administered during the medical checkup as well as a review of the health insurance claims database. We conducted a modified Poisson regression analysis, weighted by inverse probability of treatment weighting, to examine the effect of mHealth app usage on the initiation of antihypertensive medications. Additionally, data from four lifestyle questionnaires from the baseline and follow-up health checkups were collected to evaluate lifestyle modifications that could be attributed to the mHealth app.

Results: Data were collected from 50,803 eligible patients (mean age 49, SD 9 years; men n=39,412, 77.6%; women n=11,391, 22.4%) with a median follow-up period of 3.0 (IQR 2.3-3.1) years. The rate of initiation of antihypertensive medications was significantly higher in the mHealth app user group than in the nonuser group: 23.4% (3482/14,879) versus 18.5% (6646/35,924; P<.001), respectively. The risk ratio of mHealth app usage for initiated antihypertensive medications was 1.28 (95% CI 1.23-1.33). Among those who did not intend to improve their lifestyle habits such as exercise and diet at baseline, the rate of lifestyle improvement at follow-up was compared between mHealth app users and nonusers, using data from the questionnaires; mHealth app users demonstrated a significantly higher rate of lifestyle changes than nonusers.

Conclusions: For patients with untreated hypertension, the use of the mHealth app kencom, which was not dedicated to hypertension treatment, was associated with a higher initiation of antihypertensive medications.

移动健康应用程序(Kencom)对未经治疗的高血压患者开始抗高血压药物的影响:真实世界队列研究
背景:为了预防心血管疾病的进一步发展,发现未经治疗的高血压患者并通过药物治疗确保适当的血压控制已成为全球日益重视的问题。然而,在这些患者中,很少有有效的工具可以促进抗高血压药物的开始。目的:我们旨在确定移动健康(mHealth)应用程序是否有助于未经治疗的高血压患者开始服用降压药物。方法:对以中年就业者及其家庭数据为主的大型纵向综合数据库进行分析。该数据库包含来自健康检查、健康保险索赔和移动健康应用程序kencom的数据。Kencom用于管理日常生活日志(例如,体重,步数)并为客户提供量身定制的健康信息。使用基线健康检查数据确定未经治疗的高血压患者,并进行后续健康检查,以确定移动健康应用程序用户和非用户之间抗高血压药物的起始率。通过体检期间的问卷调查以及对健康保险索赔数据库的审查,确认了抗高血压药物治疗状况。我们进行了修正泊松回归分析,通过治疗权重的逆概率加权,来检验移动健康应用程序使用对抗高血压药物起始的影响。此外,收集了来自基线和随访健康检查的四份生活方式问卷的数据,以评估可能归因于移动健康应用程序的生活方式改变。结果:收集了来自50,803名符合条件的患者的数据(平均年龄49岁,SD 9岁;男性n= 39412, 77.6%;女性n=11,391(22.4%),中位随访期为3.0年(IQR为2.3-3.1)。mHealth应用程序用户组的抗高血压药物启动率显著高于非用户组:23.4%(3482/ 14879)对18.5% (6646/35,924);结论:对于未经治疗的高血压患者,使用非专用于高血压治疗的移动健康应用程序kencom与更高的抗高血压药物起始率相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
JMIR Cardio
JMIR Cardio Computer Science-Computer Science Applications
CiteScore
3.50
自引率
0.00%
发文量
25
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信