2017
DOI: 10.2196/jmir.6641
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Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis

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 … Show more

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Cited by 271 publications
(290 citation statements)
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“…Our meta-regressions identified that the presence of event related assessments increased compliance, and that participants with a diagnosis of substance use disorder had lower compliance rates. The pooled compliance estimate was similar to those obtained from similar syntheses of EMA studies in other fields (children and adolescents [41]), and higher than those in others (physical activity and dietary behaviours [40]. The primary aim of this meta-analysis was to provide a pooled estimate of compliance for EMA studies into substance use to provide a reference point for future research.…”
Section: Discussionsupporting
confidence: 66%
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“…Our meta-regressions identified that the presence of event related assessments increased compliance, and that participants with a diagnosis of substance use disorder had lower compliance rates. The pooled compliance estimate was similar to those obtained from similar syntheses of EMA studies in other fields (children and adolescents [41]), and higher than those in others (physical activity and dietary behaviours [40]. The primary aim of this meta-analysis was to provide a pooled estimate of compliance for EMA studies into substance use to provide a reference point for future research.…”
Section: Discussionsupporting
confidence: 66%
“…Random-effects models were used due to considerable heterogeneity, and we used restricted maximum likelihood as they are more conservative than maximum likelihood models [51] and perform better than other random-effects models [52]. As compliance rates are clustered within participants we adjusted the sample size by the within-and between-study variance (intraclass correlation coefficient), similar to the method described by Wen et al [41]). Square-root arcsine transformations were used rather than raw proportions to reduce variance instability and preclude confidence intervals falling outside the range of 0.0-1.0 [53].…”
Section: Statistical Analysesmentioning
confidence: 99%
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“…EMA methods may further our understanding of contextual factors related to realtime behaviors and combat some of the limitations related to recall bias by using repeated assessments that allow the participant to provide data proximal to the time of the behavior and that can account for current contextual factors such as housing and urge (14,22). EMA is the most accurate way to measure real-time factors in natural settings, is considered the gold standard (23,24), has reached high youth compliance rates (78%) across 42 studies (25), and has been used to assess drinking behaviors (26) and drug use among youth. To date, no studies have used EMA to assess drug use in real-time among homeless youth or to determine the real-time predictors of drug use in this high risk population.…”
Section: Introductionmentioning
confidence: 99%
“…E-health involves the integration of new technologies into routine clinical practice by increasing networking possibilities between patient and clinicians. Recent trials [1] using mobile electronic devices have proven successful real-world monitoring in real time, and improved assessment possibilities in a large panel of clinical settings. The assessment of the dynamic relationships among patients between events and disease course is enhanced by the development of momentary data collection strategies, such as experience sampling methods (ESM) and ecological momentary assessment (EMA).…”
Section: Data Capture In Patient Environmentmentioning
confidence: 99%