文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

即时血压的用户体验:探究一款不准确的移动健康应用受欢迎的原因。

User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app.

作者信息

Plante Timothy B, O'Kelly Anna C, Urrea Bruno, MacFarlane Zane T, Blumenthal Roger S, Charleston Jeanne, Miller Edgar R, Appel Lawrence J, Martin Seth S

机构信息

1Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT USA.

2Department of Medicine, Massachusetts General Hospital, Boston, MA USA.

出版信息

NPJ Digit Med. 2018 Aug 10;1:31. doi: 10.1038/s41746-018-0039-z. eCollection 2018.


DOI:10.1038/s41746-018-0039-z
PMID:31304313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6550164/
Abstract

Instant blood pressure (IBP) is a top-selling yet inaccurate blood pressure (BP)-measuring app that underreports elevated BP. Its iTunes app store user ratings and reviews were generally positive. Whether underreporting of elevated BP improves user experience is unknown. Participants enrolled at five clinics estimated their BP, measured their BP with IBP, then completed a user experience survey. Participants were grouped based on how their IBP BP measurements compared to their estimated BP (IBP Lower, IBP Similar, or IBP Higher). Logistic regressions compared odds of rating "agree" or "strongly agree" on survey questions by group. Most participants enjoyed using the app. In the adjusted model, IBP Higher had significantly lower proportions reporting enjoyment and motivation to check BP in the future than IBP Similar. All three groups were comparable in perceived accuracy of IBP and most participants perceived it to be accurate. However, user enjoyment and likelihood of future BP monitoring were negatively associated with higher-than-expected reported systolic BP. These data suggest reassuring app results from an inaccurate BP-measuring app may have improved user experience, which may have led to more positive user reviews and greater sales. Systematic underreporting of elevated BPs may have been a contributor to the app's success. Further studies are needed to confirm whether falsely reassuring output from other mobile health apps improve user experience and drives uptake.

摘要

即时血压(IBP)是一款畅销但不准确的血压测量应用程序,它会漏报血压升高情况。其在iTunes应用商店的用户评分和评论总体上是积极的。血压升高情况的漏报是否能改善用户体验尚不清楚。在五家诊所招募的参与者先估计自己的血压,然后使用IBP测量血压,接着完成一份用户体验调查问卷。参与者根据其IBP测量的血压与估计血压的比较情况进行分组(IBP低于估计值、IBP与估计值相似或IBP高于估计值)。逻辑回归比较了各组在调查问卷问题上选择“同意”或“强烈同意”的几率。大多数参与者喜欢使用该应用程序。在调整后的模型中,与IBP与估计值相似的参与者相比,IBP高于估计值的参与者中报告享受使用过程以及未来有检查血压动力的比例显著更低。在对IBP感知准确性方面,所有三组情况相当,且大多数参与者认为其是准确的。然而,用户的愉悦感和未来进行血压监测的可能性与高于预期报告的收缩压呈负相关。这些数据表明,一款不准确的血压测量应用程序给出令人安心的结果可能改善了用户体验,这可能导致了更积极的用户评价和更高的销量。血压升高情况的系统性漏报可能是该应用程序成功的一个因素。需要进一步研究来确认其他移动健康应用程序给出的虚假安心结果是否能改善用户体验并推动其使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/692871ad545c/41746_2018_39_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/b932e5d71800/41746_2018_39_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/66ae6b73eb3e/41746_2018_39_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/692871ad545c/41746_2018_39_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/b932e5d71800/41746_2018_39_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/66ae6b73eb3e/41746_2018_39_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e9/6550164/692871ad545c/41746_2018_39_Fig3_HTML.jpg

相似文献

[1]
User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app.

NPJ Digit Med. 2018-8-10

[2]
Trends in user ratings and reviews of a popular yet inaccurate blood pressure-measuring smartphone app.

J Am Med Inform Assoc. 2018-8-1

[3]
Valuable features in mobile health apps for patients and consumers: content analysis of apps and user ratings.

JMIR Mhealth Uhealth. 2015-5-13

[4]
Pilot Investigation of Blood Pressure Control Using a Mobile App (Cardi.Health): Retrospective Chart Review Study.

JMIR Cardio. 2023-10-17

[5]
User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews.

JMIR Hum Factors. 2022-1-31

[6]
Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling.

J Med Internet Res. 2023-1-31

[7]
The Use of Dietary Approaches to Stop Hypertension (DASH) Mobile Apps for Supporting a Healthy Diet and Controlling Hypertension in Adults: Systematic Review.

JMIR Cardio. 2022-11-2

[8]
Relationship between popularity and the likely efficacy: an observational study based on a random selection on top-ranked physical activity apps.

BMJ Open. 2019-11-14

[9]
Optimizing Precision of Hypertension Care to Maximize Blood Pressure Control: A Pilot Study Utilizing a Smartphone App to Incorporate Plasma Renin Activity Testing.

Clin Transl Sci. 2021-3

[10]
Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.

JMIR Mhealth Uhealth. 2024-3-18

引用本文的文献

[1]
Digital Health Revolution in India: Transforming Health and Medicine.

Indian J Community Med. 2024-12

[2]
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany.

NPJ Digit Med. 2023-6-21

[3]
Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study.

J Med Syst. 2023-1-27

[4]
Evidence of User-Expert Gaps in Health App Ratings and Implications for Practice.

Front Digit Health. 2022-2-17

[5]
Pregnancy and Reproductive Risk Factors for Cardiovascular Disease in Women.

Circ Res. 2022-2-18

[6]
Choice of home blood pressure monitoring device: the role of device characteristics among Alaska Native and American Indian peoples.

BMC Cardiovasc Disord. 2022-1-28

[7]
Community Hypertension Screening and Care Referral With Blood Pressure-Measuring Kiosks, Digital Education Modalities, and Text Messages.

Am J Hypertens. 2022-1-5

[8]
Biosensors for Personal Mobile Health: A System Architecture Perspective.

Adv Mater Technol. 2020-3

[9]
The Mobile Health App Trustworthiness Checklist: Usability Assessment.

JMIR Mhealth Uhealth. 2020-7-21

[10]
The use of photoplethysmography for assessing hypertension.

NPJ Digit Med. 2019-6-26

本文引用的文献

[1]
Digital medicine, on its way to being just plain medicine.

NPJ Digit Med. 2018-1-15

[2]
Trends in user ratings and reviews of a popular yet inaccurate blood pressure-measuring smartphone app.

J Am Med Inform Assoc. 2018-8-1

[3]
User Experience of an Innovative Mobile Health Program to Assist in Insulin Dose Adjustment: Outcomes of a Proof-Of-Concept Trial.

Telemed J E Health. 2017-12-20

[4]
The design and development of MyT1DHero: A mobile app for adolescents with type 1 diabetes and their parents.

J Telemed Telecare. 2017-12-11

[5]
Adherence to Report and Patient Perception of an Interactive App for Managing Symptoms During Radiotherapy for Prostate Cancer: Descriptive Study of Logged and Interview Data.

JMIR Cancer. 2017-10-31

[6]
The Health Buddies App as a Novel Tool to Improve Adherence and Knowledge in Atrial Fibrillation Patients: A Pilot Study.

JMIR Mhealth Uhealth. 2017-7-19

[7]
The effect of a medical opinion on self-perceptions of weight for Mexican adults: perception of change and cognitive biases.

BMC Obes. 2017-5-3

[8]
Pharmacologic Treatment of Hypertension in Adults Aged 60 Years or Older to Higher Versus Lower Blood Pressure Targets: A Clinical Practice Guideline From the American College of Physicians and the American Academy of Family Physicians.

Ann Intern Med. 2017-1-17

[9]
Critical Flaws in the Validation of the Instant Blood Pressure Smartphone App-A Letter from the App Developers-Reply.

JAMA Intern Med. 2016-9-1

[10]
Validation of the Instant Blood Pressure Smartphone App.

JAMA Intern Med. 2016-5-1

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

推荐工具

医学文档翻译智能文献检索