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

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Potential benefits of integrating ecological momentary assessment data into mHealth care systems. / Kim, Jinhyuk; Marcusson-Clavertz, David; Yoshiuchi, Kazuhiro; Smyth, Joshua M.

I: BioPsychoSocial Medicine, Vol. 13, Nr. 1, 19, 09.08.2019.

Forskningsoutput: TidskriftsbidragÖversiktsartikel

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Kim, Jinhyuk ; Marcusson-Clavertz, David ; Yoshiuchi, Kazuhiro ; Smyth, Joshua M. / Potential benefits of integrating ecological momentary assessment data into mHealth care systems. I: BioPsychoSocial Medicine. 2019 ; Vol. 13, Nr. 1.

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TY - JOUR

T1 - Potential benefits of integrating ecological momentary assessment data into mHealth care systems

AU - Kim, Jinhyuk

AU - Marcusson-Clavertz, David

AU - Yoshiuchi, Kazuhiro

AU - Smyth, Joshua M.

PY - 2019/8/9

Y1 - 2019/8/9

N2 - 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.

AB - 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.

KW - Ecological momentary assessment

KW - mHealth

KW - Mobile healthcare system

KW - Wearable devices

U2 - 10.1186/s13030-019-0160-5

DO - 10.1186/s13030-019-0160-5

M3 - Review article

C2 - 31413726

AN - SCOPUS:85070392618

VL - 13

JO - BioPsychoSocial Medicine

JF - BioPsychoSocial Medicine

SN - 1751-0759

IS - 1

M1 - 19

ER -