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

Overview of attention for article published in Journal of Medical Internet Research, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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37 X users
facebook
1 Facebook page

Citations

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264 Dimensions

Readers on

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536 Mendeley
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Title
IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior
Published in
Journal of Medical Internet Research, December 2016
DOI 10.2196/jmir.5927
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 536 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Australia 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Spain 1 <1%
Unknown 530 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 17%
Student > Master 80 15%
Researcher 71 13%
Student > Doctoral Student 30 6%
Student > Bachelor 25 5%
Other 114 21%
Unknown 127 24%
Readers by discipline Count As %
Medicine and Dentistry 58 11%
Psychology 56 10%
Nursing and Health Professions 53 10%
Computer Science 48 9%
Social Sciences 37 7%
Other 114 21%
Unknown 170 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2023.
All research outputs
#1,465,742
of 25,443,857 outputs
Outputs from Journal of Medical Internet Research
#1,117
of 7,882 outputs
Outputs of similar age
#29,119
of 421,802 outputs
Outputs of similar age from Journal of Medical Internet Research
#20
of 78 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.