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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 5% 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 (78th percentile)

Mentioned by

twitter
37 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
291 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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Sweden 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Unknown 285 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 21%
Student > Master 54 19%
Researcher 50 17%
Professor > Associate Professor 19 7%
Other 14 5%
Other 61 21%
Unknown 33 11%
Readers by discipline Count As %
Medicine and Dentistry 45 15%
Psychology 40 14%
Computer Science 30 10%
Nursing and Health Professions 27 9%
Social Sciences 27 9%
Other 62 21%
Unknown 60 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 08 February 2020.
All research outputs
#749,431
of 15,606,212 outputs
Outputs from Journal of Medical Internet Research
#660
of 3,981 outputs
Outputs of similar age
#26,540
of 388,271 outputs
Outputs of similar age from Journal of Medical Internet Research
#97
of 449 outputs
Altmetric has tracked 15,606,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done well, scoring higher than 83% 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 388,271 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 449 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.