Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study

作     者：Goodspeed, Robert Yan, Xiang Hardy, Jean Vydiswaran, Vinod Berrocal, Veronica J. Clarke, Philippa Romero, Daniel M. Gomez-Lopez, Iris N. Veinot, Tiffany 

作者机构：Univ Michigan Taubman Coll Architecture & Urban Planning Urban & Reg Planning Program 2000 Bonisteel Blvd Ann Arbor MI 48109 USA Univ Michigan Sch Informat Ann Arbor MI 48109 USA Univ Michigan Sch Med Dept Learning Hlth Sci Ann Arbor MI USA Univ Michigan Sch Publ Hlth Dept Biostat Ann Arbor MI 48109 USA Univ Michigan Sch Publ Hlth Dept Epidemiol Ann Arbor MI 48109 USA Univ Michigan Inst Social Res Ann Arbor MI USA Univ Michigan Sch Publ Hlth Dept Hlth Behav & Hlth Educ Ann Arbor MI 48109 USA 

出 版 物：《JMIR MHEALTH AND UHEALTH》 (JMIR mHealth uHealth)

年 卷 期：2018年第6卷第8期

页      面：e168页

核心收录：

学科分类：1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基　　金：Gordon and Betty Moore Foundation [GBMF3943] Alfred P Sloan Foundation [2014-5-05 DS] MCubed University of Michigan Office of Research University of Michigan Rackham Graduate School via the Social Sciences Annual Institute Round 6 National Institute of Environmental Health Sciences [P30ES017885] Funding Source: NIH RePORTER 

主　　题：urban population spatial behavior mobile phone environment and public health data accuracy 

摘      要：Background: Mobile devices are increasingly used to collect location-based information from individuals about their physical activities, dietary intake, environmental exposures, and mental well-being. Such research, which typically uses wearable devices or mobile phones to track location, benefits from the growing availability of fine-grained data regarding human mobility. However, little is known about the comparative geospatial accuracy of such devices. Objective: In this study, we compared the data quality of location information collected from two mobile devices that determine location in different ways-a global positioning system (GPS) watch and a mobile phone with Google s Location History feature enabled. Methods: A total of 21 chronically ill participants carried both devices, which generated digital traces of locations, for 28 days. A mobile phone based brief ecological momentary assessment (EMA) survey asked participants to manually report their location at 4 random times throughout each day. Participants also took part in qualitative interviews and completed surveys twice during the study period in which they reviewed recent mobile phone and watch trace data to compare the devices trace data with their memory of their activities on those days. Trace data from the devices were compared on the basis of (1) missing data days, (2) reasons for missing data, (3) distance between the route data collected for matching day and the associated EMA survey locations, and (4) activity space total area and density surfaces. Results: The watch resulted in a much higher proportion of missing data days (P.001), with missing data explained by technical differences between the devices as well as participant behaviors. The mobile phone was significantly more accurate in detecting home locations (P=.004) and marginally more accurate (P=.07) for all types of locations combined. The watch data resulted in a smaller activity space area and more accurately recorded outdoor trave