Potential benefits of integrating ecological momentary assessment data into mHealth care systems

Research output: Contribution to journalReview article

Abstract

The advancement of wearable/ambulatory technologies has brought a huge change to data collection frameworks in recent decades. Mobile health (mHealth) care platforms, which utilize ambulatory devices to collect naturalistic and often intensively sampled data, produce innovative information of potential clinical relevance. For example, such data can inform clinical study design, recruitment approach, data analysis, and delivery of both "traditional" and novel (e.g., mHealth) interventions. We provide a conceptual overview of how data measured continuously or repeatedly via mobile devices (e.g., smartphone and body sensors) in daily life could be fruitfully used within a mHealth care system. We highlight the potential benefits of integrating ecological momentary assessment (EMA) into mHealth platforms for collecting, processing, and modeling data, and delivering and evaluating novel interventions in everyday life. Although the data obtained from EMA and related approaches may hold great potential benefits for mHealth care system, there are also implementation challenges; we briefly discuss the challenges to integrating EMA into mHealth care system.

Details

Authors
  • Jinhyuk Kim
  • David Marcusson-Clavertz
  • Kazuhiro Yoshiuchi
  • Joshua M. Smyth
Organisations
External organisations
  • Pennsylvania State University
  • Ludwig-Maximilian University of Munich
  • University of Tokyo
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biomedical Laboratory Science/Technology
  • Health Care Service and Management, Health Policy and Services and Health Economy
  • Information Systems, Social aspects

Keywords

  • Ecological momentary assessment, mHealth, Mobile healthcare system, Wearable devices
Original languageEnglish
Article number19
JournalBioPsychoSocial Medicine
Volume13
Issue number1
Publication statusPublished - 2019 Aug 9
Publication categoryResearch
Peer-reviewedYes