Evidence map›Paper›PMID 27481101›Full record

ReviewJournal of behavioral medicine2017

Behavior change interventions: the potential of ontologies for advancing science and practice.

Kai R Larsen, Susan Michie, Eric B Hekler, Bryan Gibson, Donna Spruijt-Metz, David Ahern, Heather Cole-Lewis, Rebecca J Bartlett Ellis, Bradford Hesse, Richard P Moser and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Establishing the Medical Actionability of Genomic Variants.Annual review of genomics and human genetics · 2022
    Review
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

11 authors.

Kai R LarsenLeeds School of Business, University of Colorado, Boulder, CO, USA. kai.larsen@colorado.edu.
Susan MichieCentre for Behaviour Change, University College London, London, UK.
Eric B HeklerSchool of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ, USA.
Bryan GibsonDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Donna Spruijt-MetzDepartment of Psychology, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
David AhernBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Heather Cole-LewisJohnson and Johnson Health and Wellness Solutions, New Brunswick, NJ, USA.
Rebecca J Bartlett EllisIndiana University School of Nursing, Indianapolis, IN, USA.
Bradford HesseNational Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Richard P MoserBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Jean YiClinical Research Division, Fred Hutch, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A central goal of behavioral medicine is the creation of evidence-based interventions for promoting behavior change. Scientific knowledge about behavior change could be more effectively accumulated using "ontologies." In information science, an ontology is a systematic method for articulating a "controlled vocabulary" of agreed-upon terms and their inter-relationships. It involves three core elements: (1) a controlled vocabulary specifying and defining existing classes; (2) specification of the inter-relationships between classes; and (3) codification in a computer-readable format to enable knowledge generation, organization, reuse, integration, and analysis. This paper introduces ontologies, provides a review of current efforts to create ontologies related to behavior change interventions and suggests future work. This paper was written by behavioral medicine and information science experts and was developed in partnership between the Society of Behavioral Medicine's Technology Special Interest Group (SIG) and the Theories and Techniques of Behavior Change Interventions SIG. In recent years significant progress has been made in the foundational work needed to develop ontologies of behavior change. Ontologies of behavior change could facilitate a transformation of behavioral science from a field in which data from different experiments are siloed into one in which data across experiments could be compared and/or integrated. This could facilitate new approaches to hypothesis generation and knowledge discovery in behavioral science.

Indexed as

Medical Informatics ComputingVocabulary, ControlledBiomedical ResearchComputational BiologyDatabases, FactualHumansSemanticsSoftwareBehavior change interventionsBehaviorsControlled vocabulariesMechanisms of actionOntologiesTaxonomies

Identifiers

PMID27481101

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.