Evidence map›Paper›PMID 27986647›Full record

ArticleJournal of medical Internet research2016

IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior.

Sarah Ann Mummah, Thomas N Robinson, Abby C King, Christopher D Gardner, Stephen Sutton

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

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 225 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
225citing 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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
3 · Its place in the literature

Who cites it

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

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  3. Wildfire and Smoke Risk Communication: A Systematic Literature Review from a Health Equity Focus.International journal of environmental research and public health · 2025
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  20. Cognitive Reablement Using Digital Voice Assistants for People Living With Dementia or Mild Cognitive Impairment: A Co-Design Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article

165 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

5 authors.

Sarah Ann MummahStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-9154-4510
Thomas N RobinsonStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-2367-0774
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-7949-8811
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-7596-1530
Stephen SuttonBehavioural Science Group, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1610-0404

Funding

Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
NIDDK NIH HHS R01 DK091831
6 · The paper itself

Abstract

Developing effective digital interventions to change health behavior has been a challenging goal for academics and industry players alike. Guiding intervention design using the best combination of approaches available is necessary if effective technologies are to be developed. Behavioral theory, design thinking, user-centered design, rigorous evaluation, and dissemination each have widely acknowledged merits in their application to digital health interventions. This paper introduces IDEAS, a step-by-step process for integrating these approaches to guide the development and evaluation of more effective digital interventions. IDEAS is comprised of 10 phases (empathize, specify, ground, ideate, prototype, gather, build, pilot, evaluate, and share), grouped into 4 overarching stages: Integrate, Design, Assess, and Share (IDEAS). Each of these phases is described and a summary of theory-based behavioral strategies that may inform intervention design is provided. The IDEAS framework strives to provide sufficient detail without being overly prescriptive so that it may be useful and readily applied by both investigators and industry partners in the development of their own mHealth, eHealth, and other digital health behavior change interventions.

Indexed as

Health BehaviorBehavior TherapyHumansTelemedicinebehavioral theorybehavior change techniquesdesign thinkingdietdigital healthdigital interventionsexercisehealth behaviormedication adherencemobile phonesobesitysleepsmoking cessationtelemedicineuser-centered designweight loss

Identifiers

PMID27986647
PMCPMC5203679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.