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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
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Charting a Course for Smartphones and Wearables to Transform Population Health Research.

William G Dixon1, Sabine N van der Veer2, Syed Mustafa Ali1

  • 1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.

Journal of Medical Internet Research
|February 7, 2023
PubMed
Summary

Digital person-generated health data from smartphones and wearables offer immense potential for population health research. Addressing challenges like digital inequality and data access is key to realizing this potential for better health outcomes.

Keywords:
clinicaldatadevicesdigitalhealthmHealthmobile healthperson-generated health datapopulation health researchresearchwearable

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Area of Science:

  • Population Health Research
  • Digital Epidemiology
  • Health Informatics

Background:

  • Consumer-grade digital devices (smartphones, wearables) generate vast amounts of health-relevant data.
  • Despite high ownership and data potential, large-scale mobile health research uptake has lagged.
  • Digital person-generated health data are crucial for addressing top-priority research questions.

Purpose of the Study:

  • To review challenges and propose solutions for utilizing digital person-generated health data in population health research.
  • To identify key areas for advancement in the field of digital health data research.
  • To highlight the need for interdisciplinary collaboration to maximize the benefits of this data.

Main Methods:

  • Analysis of findings from two UK initiatives focused on digital health data challenges.
  • Review of priority setting partnerships to identify research needs addressable by digital data.
  • Synthesis of expert perspectives on data access, harmonization, analysis, and participant engagement.

Main Results:

  • Key challenges include digital inequality, selection bias, data access and harmonization, time series analysis, and patient engagement.
  • Linking digital health data with routinely collected data offers significant opportunities for novel research.
  • Successful implementation requires addressing diverse challenges across epidemiology, data science, behavioral science, and more.

Conclusions:

  • Realizing the potential of digital person-generated health data requires a coordinated, interdisciplinary approach.
  • Establishing a new community uniting diverse skills is essential for research excellence.
  • Effective use of this data can significantly improve population health and transform lives.