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Issues And Trends In Healthcare Delivery System01:29

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Leveraging mHealth Technologies for Public Health.

Pedro Elkind Velmovitsky1, Merna Kirolos1, Paulo Alencar2

  • 1School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

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Summary
This summary is machine-generated.

Smart technologies offer a novel way to enhance public health surveillance by complementing self-reported data. Leveraging mobile health data requires addressing digital equity and privacy concerns for effective implementation.

Keywords:
appsdigital public healthmHealthmobile healthmobile phonepopulation healthpublic healthself-reportsmart technologysurveillancesurveyswearables

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Area of Science:

  • Public Health
  • Digital Health
  • Health Surveillance

Background:

  • Traditional public health surveillance relies on self-reported data, which has limitations like bias and delays.
  • Smart technologies (smartphones, smartwatches) offer passive, continuous monitoring of health variables.
  • Mobile health technologies present an alternative or supplement to traditional data collection methods.

Purpose of the Study:

  • To review mobile health data research in the Canadian context.
  • To map variables from public health surveys that could be enhanced by mobile data.
  • To identify challenges and considerations for adopting mobile health technologies in public health.

Main Methods:

  • Review of major Canadian surveys and mobile health studies.
  • Analysis of variables collectable by public health surveys and smart devices.
  • Examination of population characteristics and demographic barriers for major smart technology brands.

Main Results:

  • Identified potential for smart devices to complement existing public health survey data.
  • Highlighted challenges in technology adoption, including digital health equity and privacy.
  • Provided insights into user demographics for major smart device brands (Apple, Fitbit, Samsung).

Conclusions:

  • Public health agencies and researchers should utilize mobile health data.
  • It is crucial to acknowledge and address barriers to device access and use.
  • Developing data ecosystems for public health using personal smart devices is feasible and forward-thinking.