Evidence map›Paper›PMID 31413726›Full record

ReviewBioPsychoSocial medicine2019

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

Jinhyuk Kim, David Marcusson-Clavertz, Kazuhiro Yoshiuchi, Joshua M Smyth

Abstract readReview
In one paragraph

Review in BioPsychoSocial medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jinhyuk Kim1Department of Informatics, Shizuoka University, 3-5-1 Johoku, Naka-ku, Hamamatsu, Shizuoka, 432-8011 Japan.ORCID 0000-0003-4218-1631
David Marcusson-Clavertz3Department of Psychology, Lund University, Lund, Sweden.
Kazuhiro Yoshiuchi5Department of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Joshua M Smyth2Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA USA.

Funding

Everyday Stress Response Targets in the Science of Behavior ChangeUH3AG052167 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI SMYTH, JOSHUA M · 2018 to 2019
$2.5M
Everyday Stress Response Targets in the Science of Behavior ChangeUH2AG052167 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI ALMEIDA, DAVID M., SMYTH, JOSHUA M · 2015 to 2017
$2.5M
NIA NIH HHS UH2 AG052167NIA NIH HHS UH3 AG052167
6 · The paper itself

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.

Indexed as

Ecological momentary assessmentmHealthMobile healthcare systemWearable devices

Identifiers

PMID31413726
PMCPMC6688314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.