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Concordance between GPS-based smartphone app for continuous location tracking and mother’s recall of care-seeking for child illness in India

Bibliographic Data

ID19551284
AuthorsSiddhivinayak Hirve (0000-0002-9651-7789, Emergent BioSolutions (Canada)), Andrew Marsh (0000-0001-8845-3562, Johns Hopkins University), Pallavi Lele, Uddhavi Chavan, Tathagata Bhattacharjee (0000-0001-9437-0894, Indepth Network), Harish Nair (0000-0002-9432-9100, University of Edinburgh), Harry Campbell (0000-0002-6169-6262, Emergent BioSolutions (Canada)), Sanjay Juvekar (0000-0002-7209-6924, Indepth Network)
Year2018
Volume8
Issue2
Pages020802-020802
Publication date2018-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Society of Global Health (PUBLISHER • GB)
DOI10.7189/jogh.08.020802
PMID30410742
OpenAlexW2891312217
LanguageEN
Citations received4
References cited40

BACKGROUND: Traditionally, health care-seeking behaviour for child illness is assessed through population-based national demographic and health surveys. GPS-based technologies are increasingly used in human behavioural research including tracking human mobility and spatial behaviour. This paper assesses how well a care-seeking event to a health care facility for child illness, as recalled by the mother in a survey setting using questions sourced from Demographic and Health Surveys, concurs with one that is identified by TrackCare, a GPS-based location-aware smartphone application. METHODS: Mothers residing in the Vadu HDSS area in Pune district, India having at least one young child were randomly assigned to receive a GPS-enabled smartphone with a pre-installed TrackCare app configured to record the device location data at one-minute intervals over a 6-month period. Spatio-temporal parameters were derived from the location data and used to detect a care-seeking event to any of the health care facilities in the area. Mothers were asked to recall a child illness and if, where and when care was sought, using a questionnaire during monthly visits over a 6-month period. Concordance between the mother's recall and the TrackCare app to identify a care-seeking event was estimated according to percent positive agreement. RESULTS: -value <0.001) compared to those not reported by mother but detected by TrackCare. CONCLUSIONS: Given the uncertainty and limitations in use of continuous location tracking data in a field setting and the complexity of classifying human activity patterns, additional research is needed before continuous location tracking can serve as a gold standard substitute for other methods to determine health care-seeking behaviour. Future performance may be improved by incorporating other smartphone-based sensors, such as Wi-Fi and Bluetooth, to obtain more precise location estimates in areas where GPS signal is weakest

Concordance · Environmental health · Family medicine · Global Positioning System · Health care · Population · Recall · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis · Medicine · Mobile Health and mHealth Applications · Psychology

  • Determinants and patterns of care-seeking for childhood illness in rural Pune District, India

    Open Access•Andrew Marsh, Siddhivinayak Hirve et al.•Journal of Global Health•2020

  • Validating a GPS-based approach to detect health facility visits against maternal response to prompted recall survey

    Open Access•Andrew Marsh, Siddhivinayak Hirve et al.•Journal of Global Health•2020

  • Ethical considerations in the use of GPS-based movement tracking in health research – lessons from a care-seeking study in rural west India

    Open Access•Aditi Apte, Vijendra Ingole et al.•Journal of Global Health•2019

  • Assessing the reactivity to mobile phones and repeated surveys on reported care-seeking for common childhood illnesses in rural India

    Open Access•Harish Nair, Linda Williams et al.•Journal of Global Health•2018

  • Validity of maternal report of care-seeking for childhood illness

    Open Access•Emily D Carter, Micky Ndhlovu et al.•Journal of Global Health•2018

  • Comparison of text messaging data collection vs face-to-face interviews for public health surveys

    Open Access•Michelle Helena van Velthoven, Wei Wang et al.•Journal of Global Health•2018

  • Ethical considerations in the use of GPS-based movement tracking in health research – lessons from a care-seeking study in rural west India

    Open Access•Aditi Apte, Vijendra Ingole et al.•Journal of Global Health•2019

  • Assessing the reactivity to mobile phones and repeated surveys on reported care-seeking for common childhood illnesses in rural India

    Open Access•Harish Nair, Linda Williams et al.•Journal of Global Health•2018

  • Contours of Risk

    Open Access•Heidi Hausermann, Petra Tschakert et al.•EcoHealth•2012

  • New Approaches to Human Mobility

    Open Access•John R B Palmer, Thomas J Espenshade et al.•Demography•2013

  • Another Tale of Two Cities

    Open Access•Yang Xu, Shih-Lung Shaw et al.•Annals of the American…•2016

  • Mobility Research in the Age of the Smartphone

    Amit Birenboim, Noam Shoval•Annals of the American…•2016

  • The Application of Geographic Information Systems and Global Positioning Systems in Humanitarian Emergencies

    Open Access•Reinhard Kaiser, Paul Spiegel et al.•Disasters•2003

Citations per year0.5
Citation span2018 - 2020 (3)
Highly citedNo

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