Evidence map›Paper›PMID 27357001›Full record

ArticleTranslational behavioral medicine2016

Agile science: creating useful products for behavior change in the real world.

Eric B Hekler, Predrag Klasnja, William T Riley, Matthew P Buman, Jennifer Huberty, Daniel E Rivera, Cesar A Martin

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 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

114 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. FULLSENSE-An Online Intervention Program for Adults Reporting Sexual Difficulties: A Two-Armed Randomized Controlled Pilot Trial Protocol.International journal of sexual health : official journal of the World Association for Sexual Health · 2026
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54 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.

Eric B HeklerSchool of Nutrition and Health Promotion, Arizona State University, 500 N. 3rd Street, Phoenix, AZ, 85003, USA. ehekler@asu.edu.
Predrag KlasnjaUniversity of Michigan, Ann Arbor, MI, 48109, USA.
William T RileyNational Institutes of Health, Bethesda, MD, 20892, USA.
Matthew P BumanSchool of Nutrition and Health Promotion, Arizona State University, 500 N. 3rd Street, Phoenix, AZ, 85003, USA.
Jennifer HubertySchool of Nutrition and Health Promotion, Arizona State University, 500 N. 3rd Street, Phoenix, AZ, 85003, USA.
Daniel E RiveraSchool of Nutrition and Health Promotion, Arizona State University, 500 N. 3rd Street, Phoenix, AZ, 85003, USA.
Cesar A MartinSchool of Nutrition and Health Promotion, Arizona State University, 500 N. 3rd Street, Phoenix, AZ, 85003, USA.

Funding

Heart Steps: Adaptive mHealth intervention for physical-activity maintenanceR01HL125440 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Predrag Klasnja · 2015 to 2026
$3.8M
NHLBI NIH HHS R01 HL125440
6 · The paper itself

Abstract

Evidence-based practice is important for behavioral interventions but there is debate on how best to support real-world behavior change. The purpose of this paper is to define products and a preliminary process for efficiently and adaptively creating and curating a knowledge base for behavior change for real-world implementation. We look to evidence-based practice suggestions and draw parallels to software development. We argue to target three products: (1) the smallest, meaningful, self-contained, and repurposable behavior change modules of an intervention; (2) "computational models" that define the interaction between modules, individuals, and context; and (3) "personalization" algorithms, which are decision rules for intervention adaptation. The "agile science" process includes a generation phase whereby contender operational definitions and constructs of the three products are created and assessed for feasibility and an evaluation phase, whereby effect size estimates/casual inferences are created. The process emphasizes early-and-often sharing. If correct, agile science could enable a more robust knowledge base for behavior change.

Indexed as

AlgorithmsComputer SimulationEvidence-Based MedicineEvidence-Based PracticeHealth BehaviorHumansSoftwareBehavior changeImplementation scienceResearch methods

Identifiers

PMID27357001
PMCPMC4927453

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.