Evidence map›Paper›PMID 28058516›Full record

ArticleJournal of behavioral medicine2017

Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential.

Arlen C Moller, Gina Merchant, David E Conroy, Robert West, Eric Hekler, Kari C Kugler, Susan Michie

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03517371 (Walking and mHealth to Increase Participation in Parkinson Disease), which is not on this map. Cited by 66 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 9 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.

NCT03517371 nacompletednot on this mapstarted 2019, after this paper: background citation

Walking and mHealth to Increase Participation in Parkinson Disease

TypeinterventionalSponsorBoston University Charles River CampusRan2019 to 2024Enrolled140ConditionsParkinson DiseaseArmsmHealth delivered exercise program, Exercise only
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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6 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

7 authors.

Arlen C MollerIllinois Institute of Technology, Chicago, IL, USA. amoller@iit.edu.
Gina MerchantUniversity of California, San Diego, San Diego, CA, USA.
David E ConroyThe Pennsylvania State University, State College, PA, USA.
Robert WestUniversity College London, London, UK.
Eric HeklerArizona State University, Tempe, AZ, USA.
Kari C KuglerThe Pennsylvania State University, State College, PA, USA.
Susan MichieUniversity College London, London, UK.

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Cancer Research UK 14135NIDA NIH HHS P50 DA039838
6 · The paper itself

Abstract

As more behavioral health interventions move from traditional to digital platforms, the application of evidence-based theories and techniques may be doubly advantageous. First, it can expedite digital health intervention development, improving efficacy, and increasing reach. Second, moving behavioral health interventions to digital platforms presents researchers with novel (potentially paradigm shifting) opportunities for advancing theories and techniques. In particular, the potential for technology to revolutionize theory refinement is made possible by leveraging the proliferation of "real-time" objective measurement and "big data" commonly generated and stored by digital platforms. Much more could be done to realize this potential. This paper offers proposals for better leveraging the potential advantages of digital health platforms, and reviews three of the cutting edge methods for doing so: optimization designs, dynamic systems modeling, and social network analysis.

Indexed as

Health BehaviorBehavioral ResearchBehavior TherapyHealth PromotionHealth ServicesHumansBehavior change techniquesBehavior change theoriesDigital healthDynamic systemsOptimizationSocial networks

Identifiers

PMID28058516
PMCPMC5532801

What OpenQuestion holds

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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.