Potential benefits of integrating ecological momentary assessment data into mHealth care systems
(2019) In BioPsychoSocial Medicine 13(1).- 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... (More)
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.
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- author
- Kim, Jinhyuk ; Marcusson-Clavertz, David LU ; Yoshiuchi, Kazuhiro and Smyth, Joshua M.
- organization
- publishing date
- 2019-08-09
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Ecological momentary assessment, mHealth, Mobile healthcare system, Wearable devices
- in
- BioPsychoSocial Medicine
- volume
- 13
- issue
- 1
- article number
- 19
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:31413726
- scopus:85070392618
- ISSN
- 1751-0759
- DOI
- 10.1186/s13030-019-0160-5
- language
- English
- LU publication?
- yes
- id
- f1c790dc-0d5c-4278-86a9-2d5d0c7dc40b
- date added to LUP
- 2019-08-30 13:25:58
- date last changed
- 2024-05-15 19:40:06
@article{f1c790dc-0d5c-4278-86a9-2d5d0c7dc40b,
abstract = {{<p>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.</p>}},
author = {{Kim, Jinhyuk and Marcusson-Clavertz, David and Yoshiuchi, Kazuhiro and Smyth, Joshua M.}},
issn = {{1751-0759}},
keywords = {{Ecological momentary assessment; mHealth; Mobile healthcare system; Wearable devices}},
language = {{eng}},
month = {{08}},
number = {{1}},
publisher = {{BioMed Central (BMC)}},
series = {{BioPsychoSocial Medicine}},
title = {{Potential benefits of integrating ecological momentary assessment data into mHealth care systems}},
url = {{http://dx.doi.org/10.1186/s13030-019-0160-5}},
doi = {{10.1186/s13030-019-0160-5}},
volume = {{13}},
year = {{2019}},
}