ArticleJMIR research protocols2018
Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults.
Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 36 papers.
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.
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.
Developing a Flexible App Data Collection Tool for Substance Use Research
Optimizing a Just-in-Time Adaptive Intervention to Increase Uptake of Chemsex Harm Reduction Services in MSM: A Micro-randomized Trial
Who cites it
36 citing papers in PubMed, 57 citations in OpenAlex.
- Impact of Providing a Personalized Data Dashboard on Ecological Momentary Assessment Compliance Among College Students Who Use Substances: Pilot Microrandomized Trial.JMIR formative research · 2024Trial
- Self-relevant appeals to engage in self-monitoring of alcohol use: A microrandomized trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Trial
- Translating strategies for promoting engagement in mobile health: A proof-of-concept microrandomized trial.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021Trial
- Practical considerations when designing an online learning algorithm for an app-based mHealth intervention.Contemporary clinical trials · 2026Article
- From Assessment to Intervention: Leveraging Ecological Momentary Assessment (EMA) to Develop a Personalized mobile-health (mHealth) Ecological Momentary Intervention (EMI) for Young Adults With ADHD and High-Risk Alcohol Use.Journal of studies on alcohol and drugs · 2026Article
- Missing data in microrandomized trials: Challenges and opportunities.Behavior research methods · 2025Article
- Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation.Journal of the American Statistical Association · 2025Article
- Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.JMIR mental health · 2024Article
- Study protocol for a sequential multiple assignment randomized trial to decrease alcohol use before and after surgery.Contemporary clinical trials · 2024Article
- A Personalized Data Dashboard to Improve Compliance with Ecological Momentary Assessments in College Students: Protocol for a Microrandomized Trial.JMIR research protocols · 2024Article
- A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol.Contemporary clinical trials · 2024Article
- ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use.IJCAI : proceedings of the conference · 2024Article
- Selecting an Ecological Momentary Assessment Platform: Tutorial for Researchers.Journal of medical Internet research · 2024Article
- Development of the iManage SCD mobile health application for transition.Health care transitions · 2024Article
- Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Sample size considerations for micro-randomized trials with binary proximal outcomes.Statistics in medicine · 2023Article
- Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Practical Benefits, Challenges, and Recommendations on Social Media Recruitment: Multi-Stakeholder Interview Study.Journal of medical Internet research · 2023Article
- Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies.Frontiers in digital health · 2023Article
- Engagement in digital interventions.The American psychologist · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSubstance use is an alarming public health issue associated with significant morbidity and mortality. Adolescents and emerging adults are at particularly high risk because substance use typically initiates and peaks during this developmental period. Mobile health apps are a promising data collection and intervention delivery tool for substance-using youth as most teens and young adults own a mobile phone. However, engagement with data collection for most mobile health applications is low, and often, large fractions of users stop providing data after a week of use.
objectiveSubstance Abuse Research Assistant (SARA) is a mobile application to increase or sustain engagement of substance data collection overtime. SARA provides a variety of engagement strategies to incentivize data collection: a virtual aquarium in the app grows with fish and aquatic resources; occasionally, funny or inspirational contents (eg, memes or text messages) are provided to generate positive emotions. We plan to assess the efficacy of SARA's engagement strategies over time by conducting a micro-randomized trial, where the engagement strategies will be sequentially manipulated.
methodsWe aim to recruit participants (aged 14-24 years), who report any binge drinking or marijuana use in the past month. Participants are instructed to use SARA for 1 month. During this period, participants are asked to complete one survey and two active tasks every day between 6 pm and midnight. Through the survey, we assess participants' daily mood, stress levels, loneliness, and hopefulness, while through the active tasks, we measure reaction time and spatial memory. To incentivize and support the data collection, a variety of engagement strategies are used. First, predata collection strategies include the following: (1) at 4 pm, a push notification may be issued with an inspirational message from a contemporary celebrity; or (2) at 6 pm, a push notification may be issued reminding about data collection and incentives. Second, postdata collection strategies include various rewards such as points which can be used to grow a virtual aquarium with fishes and other treasures and modest monetary rewards (up to US $12; US $1 for each 3-day streak); also, participants may receive funny or inspirational content as memes or gifs or visualizations of prior data. During the study, the participants will be randomized every day to receive different engagement strategies. In the primary analysis, we will assess whether issuing 4 pm push-notifications or memes or gifs, respectively, increases self-reporting on the current or the following day.
resultsThe microrandomized trial started on August 21, 2017 and the trial ended on February 28, 2018. Seventy-three participants were recruited. Data analysis is currently underway.
conclusionsTo the best of our knowledge, SARA is the first mobile phone app that systematically manipulates engagement strategies in order to identify the best sequence of strategies that keep participants engaged in data collection. Once the optimal strategies to collect data are identified, future versions of SARA will use this data to provide just-in-time adaptive interventions to reduce substance use among youth.
trial registrationClinicalTrials.gov NCT03255317; https://clinicaltrials.gov/show/NCT03255317 (Archived by WebCite at http://www.webcitation.org/70raGWV0e). REGISTERED REPORT IDENTIFIER: RR1-10.2196/9850.
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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.