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
1Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT USA.
2Department of Medicine, Massachusetts General Hospital, Boston, MA USA.
NPJ Digit Med. 2018 Aug 10;1:31. doi: 10.1038/s41746-018-0039-z. eCollection 2018.
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.
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。
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