Evidence map›Paper›PMID 28446418›Full record

SynthesisJournal of medical Internet research2017

Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis.

Cheng K Fred Wen, Stefan Schneider, Arthur A Stone, Donna Spruijt-Metz

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
209citing papers in PubMed, 16 pooled it
17.8field-weighted citation impact, top 1% of its field
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

209 citing papers in PubMed, 16 syntheses or guidelines pooled it, 351 citations in OpenAlex.

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  20. Momentary effects of life stressors on mindfulness and emotion regulation difficulties among adolescents exposed to chronic stressors.Stress and health : journal of the International Society for the Investigation of Stress · 2024
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149 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Cheng K Fred WenDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-2538-0439
Stefan SchneiderCenter for Self-Report Science, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-4562-0524
Arthur A StoneCenter for Self-Report Science, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-7490-1758
Donna Spruijt-MetzDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-3884-4300
University of Southern California · US

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Guided imagery lifestyle intervention to prevent & treat obesity in Latino youthR01AT008330 · NCCIH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WEIGENSBERG, MARC J · 2013 to 2017
$3.4M
Frame of Reference Effects in Health Disparities ResearchR01AG042407 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STONE, ARTHUR A · 2014 to 2018
$3.4M
Innovative pain outcomes derived from patients real-time pain reportsR01AR066200 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHNEIDER, STEFAN, STONE, ARTHUR A · 2015 to 2018
$1.8M
NCCIH NIH HHS R01 AT008330NIAMS NIH HHS R01 AR066200NIA NIH HHS R01 AG042407NIH HHS U24 OD023176
6 · The paper itself

Abstract

backgroundMobile device-based ecological momentary assessment (mobile-EMA) is increasingly used to collect participants' data in real-time and in context. Although EMA offers methodological advantages, these advantages can be diminished by participant noncompliance. However, evidence on how well participants comply with mobile-EMA protocols and how study design factors associated with participant compliance is limited, especially in the youth literature.

objectiveTo systematically and meta-analytically examine youth's compliance to mobile-EMA protocols and moderators of participant compliance in clinical and nonclinical settings.

methodsStudies using mobile devices to collect EMA data among youth (age ≤18 years old) were identified. A systematic review was conducted to describe the characteristics of mobile-EMA protocols and author-reported factors associated with compliance. Random effects meta-analyses were conducted to estimate the overall compliance across studies and to explore factors associated with differences in youths' compliance.

resultsThis review included 42 unique studies that assessed behaviors, subjective experiences, and contextual information. Mobile phones were used as the primary mode of EMA data collection in 48% (20/42) of the reviewed studies. In total, 12% (5/42) of the studies used wearable devices in addition to the EMA data collection platforms. About half of the studies (62%, 24/42) recruited youth from nonclinical settings. Most (98%, 41/42) studies used a time-based sampling protocol. Among these studies, most (95%, 39/41) prompted youth 2-9 times daily, for a study length ranging from 2-42 days. Sampling frequency and study length did not differ between studies with participants from clinical versus nonclinical settings. Most (88%, 36/41) studies with a time-based sampling protocol defined compliance as the proportion of prompts to which participants responded. In these studies, the weighted average compliance rate was 78.3%. The average compliance rates were not different between studies with clinical (76.9%) and nonclinical (79.2%; P=.29) and studies that used only a mobile-EMA platform (77.4%) and mobile platform plus additional wearable devices (73.0%, P=.36). Among clinical studies, the mean compliance rate was significantly lower in studies that prompted participants 2-3 times (73.5%) or 4-5 times (66.9%) compared with studies with a higher sampling frequency (6+ times: 89.3%). Among nonclinical studies, a higher average compliance rate was observed in studies that prompted participants 2-3 times daily (91.7%) compared with those that prompted participants more frequently (4-5 times: 77.4%; 6+ times: 75.0%). The reported compliance rates did not differ by duration of EMA period among studies from either clinical or nonclinical settings.

conclusionsThe compliance rate among mobile-EMA studies in youth is moderate but suboptimal. Study design may affect protocol compliance differently between clinical and nonclinical participants; including additional wearable devices did not affect participant compliance. A more consistent compliance-related result reporting practices can facilitate understanding and improvement of participant compliance with EMA data collection among youth.

Indexed as

Cell PhoneData CollectionEcological Momentary AssessmentPatient ComplianceAdolescentChildHumansResearch Designcomplianceecological momentary assessmentmHealthyouth

Identifiers

PMID28446418
PMCPMC5425774
OpenAlexW2609643912

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.