Evidence map›Paper›PMID 27745682›Full record

ArticleAmerican journal of preventive medicine2016

Advancing Models and Theories for Digital Behavior Change Interventions.

Eric B Hekler, Susan Michie, Misha Pavel, Daniel E Rivera, Linda M Collins, Holly B Jimison, Claire Garnett, Skye Parral, Donna Spruijt-Metz

Registry-linked trialAbstract read
In one paragraph

Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01814072 (Opt-IN), which is not on this map. Cited by 67 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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.

NCT01814072 phase2 / phase3completednot on this map

Opt-IN: Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity

TypeinterventionalSponsorNorthwestern UniversityRan2013 to 2017Enrolled562ConditionsWeight LossArms12 Telephone Coaching Sessions, 24 Telephone Coaching Sessions, Report to Primary Care Physician, Text Messages, Recommendations to use meal replacements
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. What's the 'Secret Sauce'?: A Systematic Review of the Characteristics of Effective Digital Health Behaviour Change Interventions for Children and Adolescents.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Pooled it
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  10. Article
  11. Active Video Gaming and Obesity in Children 6-12 Years Old: A Systematic Review.Journal of functional morphology and kinesiology · 2026
    Review
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7 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

9 authors.

Eric B HeklerSchool of Nutrition and Health Promotion, Arizona State University, Phoenix, Arizona. Electronic address: ehekler@asu.edu.
Susan MichieCentre for Behaviour Change, University College London, London, United Kingdom.
Misha PavelConsortium on Technology for Proactive Care, Northeastern University, Boston, Massachusetts.
Daniel E RiveraFulton Schools of Engineering, Arizona State University, Tempe, Arizona.
Linda M CollinsThe Methodology Center and Department of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania.
Holly B JimisonConsortium on Technology for Proactive Care, Northeastern University, Boston, Massachusetts.
Claire GarnettDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.
Skye ParralCenter for Economic and Social Research, University of Southern California, Los Angeles, California.
Donna Spruijt-MetzCenter for Economic and Social Research, University of Southern California, Los Angeles, California.

Funding

Testing Relapse Recovery Intervention ComponentsP01CA180945 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI FIORE, MICHAEL C · 2014 to 2023
$23.0M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Opt-IN: Optimizing INtensive Lifestyle Intervention for Weight LossR01DK097364 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI COLLINS, LINDA M, SPRING, BONNIE · 2012 to 2016
$3.0M
Engineering an Online STI Prevention ProgramR01AA022931 · NIAAA · PENNSYLVANIA STATE UNIVERSITY, THE · PI RULISON, KELLY LIN · 2015 to 2019
$3.0M
Technology-CoreP20NR015320 · NINR · NORTHEASTERN UNIVERSITY · PI GUTHRIE, BARBARA J. · 2014 to 2018
$1.5M
Medical Research CouncilNCI NIH HHS P01 CA180945NIAAA NIH HHS R01 AA022931NIDA NIH HHS P50 DA039838NIDDK NIH HHS R01 DK097364NINR NIH HHS P20 NR015320
6 · The paper itself

Abstract

To be suitable for informing digital behavior change interventions, theories and models of behavior change need to capture individual variation and changes over time. The aim of this paper is to provide recommendations for development of models and theories that are informed by, and can inform, digital behavior change interventions based on discussions by international experts, including behavioral, computer, and health scientists and engineers. The proposed framework stipulates the use of a state-space representation to define when, where, for whom, and in what state for that person, an intervention will produce a targeted effect. The "state" is that of the individual based on multiple variables that define the "space" when a mechanism of action may produce the effect. A state-space representation can be used to help guide theorizing and identify crossdisciplinary methodologic strategies for improving measurement, experimental design, and analysis that can feasibly match the complexity of real-world behavior change via digital behavior change interventions.

Indexed as

Health BehaviorHealth PromotionModels, TheoreticalResearch DesignTelecommunicationsHumans

Identifiers

PMID27745682
PMCPMC5506832

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.