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Behavior Change Techniques in Apps for Medication Adherence A Content Analysis

Overview of attention for article published in American Journal of Preventive Medicine, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Behavior Change Techniques in Apps for Medication Adherence A Content Analysis
Published in
American Journal of Preventive Medicine, November 2015
DOI 10.1016/j.amepre.2015.09.034
Pubmed ID
Authors

Eimear C. Morrissey, Teresa K. Corbett, Jane C. Walsh, Gerard J. Molloy

Abstract

There are a vast number of smartphone applications (apps) aimed at promoting medication adherence on the market; however, the theory and evidence base in terms of applying established health behavior change techniques underpinning these apps remains unclear. This study aimed to code these apps using the Behavior Change Technique Taxonomy (v1) for the presence or absence of established behavior change techniques. The sample of apps was identified through systematic searches in both the Google Play Store and Apple App Store in February 2015. All apps that fell into the search categories were downloaded for analysis. The downloaded apps were screened with exclusion criteria, and suitable apps were reviewed and coded for behavior change techniques in March 2015. Two researchers performed coding independently. In total, 166 medication adherence apps were identified and coded. The number of behavior change techniques contained in an app ranged from zero to seven (mean=2.77). A total of 12 of a possible 96 behavior change techniques were found to be present across apps. The most commonly included behavior change techniques were "action planning" and "prompt/cues," which were included in 96% of apps, followed by "self-monitoring" (37%) and "feedback on behavior" (36%). The current extent to which established behavior change techniques are used in medication adherence apps is limited. The development of medication adherence apps may not have benefited from advances in the theory and practice of health behavior change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Czechia 1 <1%
Switzerland 1 <1%
Unknown 216 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 20%
Student > Master 38 17%
Student > Ph. D. Student 28 13%
Student > Bachelor 24 11%
Student > Doctoral Student 9 4%
Other 32 15%
Unknown 44 20%
Readers by discipline Count As %
Psychology 36 16%
Computer Science 34 16%
Medicine and Dentistry 29 13%
Nursing and Health Professions 18 8%
Social Sciences 11 5%
Other 37 17%
Unknown 54 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 April 2016.
All research outputs
#2,365,841
of 25,374,917 outputs
Outputs from American Journal of Preventive Medicine
#1,604
of 5,271 outputs
Outputs of similar age
#37,553
of 392,665 outputs
Outputs of similar age from American Journal of Preventive Medicine
#36
of 95 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.1. This one has gotten more attention than average, scoring higher than 69% 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 392,665 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 90% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.