ArticleThe Behavior analyst2015
A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior.
Article in The Behavior analyst, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Game-based digital therapeutics for children and adolescents: Their therapeutic effects on mental health problems, the sustainability of the therapeutic effects and the transfer of cognitive functions.Frontiers in psychiatry · 2022Pooled it
- Nationwide access to an internet-based contingency management intervention to promote smoking cessation: a randomized controlled trial.Addiction (Abingdon, England) · 2017Trial
- Contingency management interventions for substance use and addictive behaviours: Review of the United Kingdom evidence base.Addiction (Abingdon, England) · 2026Review
- A Multilevel Framework for Compassionate Care in ABA: Approaches to Cultivate a Nurturing System.Behavior analysis in practice · 2026Article
- Divided control by past behavior, present stimuli, and future outcome value in a concurrent-chains procedure.Journal of the experimental analysis of behavior · 2026Article
- Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions.Chinese political science review · 2025Article
- Addiction specialists' perspectives on digital contingency management and its role within UK drug and alcohol services: A qualitative exploration.Drug and alcohol review · 2025Article
- Health Workers' Acceptance and Satisfaction on the Usability of the Digital Health Goods, in Kono District, Sierra Leone.Journal of multidisciplinary healthcare · 2025Article
- A Remote Oral Self-Care Behaviors Assessment System in Vulnerable Populations: Usability and Feasibility Study.JMIR formative research · 2024Article
- The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services.Behavior analysis in practice · 2024Review
- Combining Behavioral Economics-Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2023Article
- Fit24, a digital health intervention to reduce type 2 diabetes risk among Hispanic youth: Protocol for a feasibility pilot study.Contemporary clinical trials · 2023Article
- Article
- eHealth tools for childhood cancer survivorship care: A qualitative analysis of survivors', parents', and general practitioners' views.PEC innovation · 2022Article
- Evaluation of a virtual coaching system eHealth intervention: A mixed methods observational cohort study in the Netherlands.Internet interventions · 2022Article
- The Psychosocial Predictors and Day-Level Correlates of Substance Use Among Participants Recruited via an Online Crowdsourcing Platform in the United States: Daily Diary Study.JMIR public health and surveillance · 2021Article
- Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost Efficiency.Frontiers in psychology · 2021Article
- An iterative, interdisciplinary, collaborative framework for developing and evaluating digital behavior change interventions.Translational behavioral medicine · 2020Article
- Review
- Digital health for assessment and intervention targeting tobacco and cannabis co-use.Current addiction reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Modifiable behavioral risk factors such as cigarette smoking, physical inactivity, and obesity contribute to over 40 % of premature deaths in the USA. Advances in digital and information technology are creating unprecedented opportunities for behavior analysts to assess and modify these risk factors. Technological advances include mobile devices, wearable sensors, biomarker detectors, and real-time access to therapeutic support via information technology. Integrating these advances with behavioral technology in the form of conceptually systematic principles and procedures could usher in a new generation of effective and scalable behavioral interventions targeting health behavior. In this selective review of the literature, we discuss how technological tools can assess and modify a range of antecedents and consequences of healthy and unhealthy behavior. We also describe practical, methodological, and conceptual advantages for behavior analysts that stem from the use of technology to assess and treat health behavior.
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What OpenQuestion holds
Registered trials
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.