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Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review
Abstract
A just-in-time, adaptive intervention (JITAI) is an emerging type of intervention that provides tailored support at the exact time of need. It does so using enabling new technologies (e.g., mobile phones, sensors) that capture the changing states of individuals. Extracting effect sizes of primary outcomes produced by 33 empirical studies that used JITAIs, we found moderate to large effect sizes of JITAI treatments compared to (1) waitlist-control conditions (k = 9), Hedges's g = 1.65 and (2) non-JITAI treatments (k = 21), g = 0.89. Also, participants of JITAI interventions showed significant changes (k = 13) in the positive direction (g = 0.79). A series of sensitivity tests suggested that those effects persist. Those effects also persist despite differences in the behaviors of interests (e.g., blood glucose control, recovering alcoholics), duration of the treatments, and participants' age. Two aspects of tailoring, namely: (1) tailoring to what (i.e., both people's previous behavioral patterns and their current need states; with these effects additive) and (2) approach to tailoring (i.e., both using a human agent and an algorithm to decide tailored feedback; with these effects additive), are significantly associated with greater JITAI efficacy.
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“JITAIs enhance outcomes since they address the changing needs of individuals in their daily lives across the lifespan of an intervention (Wang and Miller 2020).”
From Effects of a Personalized Stress Management Intervention on Maternal Mental Health: A Randomized Clinical Trial. (2025) · cites this paper as Wang and Miller 2020
In the citing paper
“Just-in-time adaptive behavioral interventions (JITAIs) allow for personalizing amount and types of intervention content to address variability in participant response to behavioral interventions.”
From Effects of a Personalized Stress Management Intervention on Maternal Mental Health: A Randomized Clinical Trial. (2025) · cites this paper as Wang and Miller 2020
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Metadata
- Authors
- Wang, L., & Miller, L. C.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Wang, Liyuan
- Venue
- Health Communication
- Publisher
- Informa UK Limited
- Published
- 2019-09-05
- Volume
- 35
- Issue
- 12
- Pages
- 1531-1544
- ISSN
- 1041-0236 (ISSN-L)
- 1532-7027
- OpenAlex
- W2971759879
- Cited by
- 264
- References
- 52
- Citations by year
- 2026: 53 · 2025: 58 · 2024: 47 · 2023: 43 · 2022: 35 · 2021: 21 · 2020: 6 · 2019: 1
- FWCI
- 17.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Communication (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- just-in-time adaptive interventions, personalized feedback, tailored support, mobile health, wearable sensors, treatment efficacy, effect size, need states, glycemic control, alcohol recovery, waitlist control
- MeSH terms
- Behavior Therapy, Humans, Cell Phone
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