Using Smartphones for Research Outside Clinical Settings: How Operating Systems, App Developers, and Users Determine Geolocation Data Quality in mHealth Studies
Smartphones that collect user geolocation provide opportunities for mobile Health (mHealth). Although granularity of geolocation data may be high, data completeness depends on the devices 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.
Mobile Health (mHealth) Smartphone Longitudinal Studies
AL Beukenhorst DM Schultz J McBeth R Lakshminarayana JC Sergeant WG Dixon
Arthritis Research UK Centre for Epidemiology,Centre for Musculoskeletal Research,Faculty of Biology Centre for Atmospheric Science,School of Earth and Environmental Sciences,University of Manchester,M uMotif,London,UK Arthritis Research UK Centre for Epidemiology,Centre for Musculoskeletal Research,Faculty of Biology
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
10-14
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）