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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
36 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
218 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 36 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 218 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%
Portugal 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Unknown 211 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 22%
Researcher 41 19%
Student > Master 34 16%
Unspecified 23 11%
Professor > Associate Professor 16 7%
Other 54 25%
Unknown 1 <1%
Readers by discipline Count As %
Unspecified 49 22%
Psychology 32 15%
Medicine and Dentistry 31 14%
Social Sciences 23 11%
Computer Science 21 10%
Other 61 28%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 20 June 2018.
All research outputs
#617,302
of 13,601,903 outputs
Outputs from Journal of Medical Internet Research
#586
of 3,142 outputs
Outputs of similar age
#25,526
of 376,401 outputs
Outputs of similar age from Journal of Medical Internet Research
#97
of 449 outputs
Altmetric has tracked 13,601,903 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 3,142 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has done well, scoring higher than 81% 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 376,401 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.