Using smartphones for research outside clinical settings: how operating systems, app developers, and users determine geolocation data quality in mHealth studies.
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 provid 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.
10-14
Beukenhorst, A.L.
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Schultz, D.M.
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McBeth, J.
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Lakshminarayana, R.
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Sergeant, J.C.
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Dixon, W.G.
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January 2017
Beukenhorst, A.L.
3a9ba856-13a3-49fc-8815-c245e23f9925
Schultz, D.M.
a85d5745-d1be-42fd-a4a8-45122ee5a243
McBeth, J.
98012716-66ba-480b-9e43-ac53b51dce61
Lakshminarayana, R.
549690be-3dee-4cfe-b0b9-e3d5108f7b38
Sergeant, J.C.
12663aff-2633-432e-a8c4-bedfbe1a35a6
Dixon, W.G.
5dddafc1-ae5f-466e-8517-8369ee750cbc
Beukenhorst, A.L., Schultz, D.M., McBeth, J., Lakshminarayana, R., Sergeant, J.C. and Dixon, W.G.
(2017)
Using smartphones for research outside clinical settings: how operating systems, app developers, and users determine geolocation data quality in mHealth studies.
Studies in Health Technology and Informatics, 245, .
Abstract
Smartphones that collect user geolocation provid 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.
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Published date: January 2017
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Local EPrints ID: 491425
URI: http://eprints.soton.ac.uk/id/eprint/491425
ISSN: 0926-9630
PURE UUID: 7b87fa7c-2018-4385-9384-55b48af0a9b4
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Date deposited: 24 Jun 2024 16:30
Last modified: 25 Jun 2024 02:10
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Author:
A.L. Beukenhorst
Author:
D.M. Schultz
Author:
J. McBeth
Author:
R. Lakshminarayana
Author:
J.C. Sergeant
Author:
W.G. Dixon
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