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Using Smartphones for Research Outside Clinical Settings: How Operating Systems, App Developers, and Users Determine Geolocation Data Quality in mHealth Studies

机译:在临床环境外使用智能手机进行研究:操作系统,应用程序和用户如何确定MHEALTH研究中的地理位置数据质量

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Smartphones that collect user geolocation provide opportunities for mobile Health (mHealth). Although granularity of geolocation data may be high, data completeness depends on the device's operating system, application developer decisions, and user actions. We investigate completeness of geolocation data collected via smartphones of 5601 people that self-reported daily chronic pain symptoms on 349,293 days. On 17% of these days, hourly geolocation data is reported, but days with 0 (16%), 1 (14%) and 2 (13%) geolocations are common. Android phones collect geolocation more often than iPhones (median 17 versus 2 times a day). Factors on operating system level and individual user level influence completeness of geolocation data collected with smartphones. mHealth researchers should be aware of these factors when designing their studies. The mHealth research community should devise standards for reporting geolocation data quality, analysing systematic differences in data quality between participant groups, and methods for data imputation.
机译:收集用户地理定位的智能手机为移动健康提供了机会(MHealth)。尽管地理定位数据的粒度可能是高的,但数据完整性取决于设备的操作系统,应用程序开发人员决策和用户操作。我们调查通过智能手机收集的地理位置数据的完整性,以5601人在349,293天内自我报告的每日慢性疼痛症状。在这几天的17%,报告了每小时的地理位置数据,但是0(16%),1(14%)和2(13%)地理域的日子是常见的。 Android手机比iPhone更频繁地收集地理位置(每天2次中位数17次)。操作系统级别的因素和各个用户级别影响智能手机地理位置数据的完整性。 MHEALTH研究人员应在设计学习时意识到这些因素。 MHECHEATH研究界应该制定报告地理位置数据质量的标准,分析参与者组之间的数据质量的系统差异以及数据归档方法。

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