Biases in the Willingness to Download a mHealth App: A Discrete Choices Experimental Study Among Nigerian Healthcare App Subscribers

Author:

Ogbaga Ignatius NwoyibeORCID

Abstract

AbstractBackgroundAlthough there has been an increase in the availability of mobile health (mHealth) tools globally and their potential benefits for both healthcare providers and patients, the adoption of mHealth is still relatively low. Additionally, only a limited number of studies have investigated the intention of individuals to download mHealth apps.ObjectiveWe conducted a study to explore people’s inclination towards using a health app.MethodsWe conducted the study in Nigeria using a discrete choice experiment. The study had a sample size of 2800 participants who were presented with two different attributes and levels. These attributes were price ($20 = N 17932.80 [at a currency exchange rate of $1= N896.64], and free subscription option) and data protection (with options of data protection vs no data protection). The participants were randomly assigned to the different attribute and level options. For the analysis, we used the conditional logistic model.ResultsAccording to the results of the study, the likelihood of downloading a mHealth app is significantly higher when the app is offered for free. The study also found that users tend to ignore data protection specifications, and instead prioritize free subscription offers while showing reluctance towards apps that come with a price tag.ConclusionsThe use of mobile health (mHealth) tools has a high potential in reducing healthcare costs and enhancing the efficacy of traditional health interventions and therapies. The major driving forces behind the increasing adoption of mHealth apps in the future are cost reduction and the establishment of sound business models. It is crucial to establish reliable standards for mHealth apps, which can include information about pricing and legislation regarding data protection, to ensure that potential consumers can make informed decisions.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3