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Dove Medical Press

Specifying active components of educational interventions to promote adherence to treatment in glaucoma patients: application of a taxonomy of behavior change techniques

Overview of attention for article published in Psychology Research and Behavior Management, July 2015
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Title
Specifying active components of educational interventions to promote adherence to treatment in glaucoma patients: application of a taxonomy of behavior change techniques
Published in
Psychology Research and Behavior Management, July 2015
DOI 10.2147/prbm.s74664
Pubmed ID
Authors

Kathryn M Berzins, Trish A Gray, Heather Waterman, Jill J Francis

Abstract

In response to recent calls for clearer specification of behavior change interventions, the purpose of this study was to apply a system of taxonomy for behavior change techniques (BCTs) to two educational interventions to improve adherence to glaucoma eye drops. Clarification of constituent BCTs will promote easy and reliable application of the interventions in clinical settings and research. A published taxonomy of BCTs was used to code two interventions (group and individual) to increase adherence to eye drops. Intervention materials were coded by assigning a BCT label to each text unit. We noted the frequency with which each BCT occurred, compared the interventions in terms of the BCTs that were delivered, and identified whether the taxonomy was sufficient to describe the intervention components. The individual intervention consisted of 94 text units. Fifty-seven were identified as targeting behavior change and coded using 18 BCTs, many coded more than once. In the group intervention, 165 units of text were identified, and 125 were coded using 22 BCTs. The most frequently coded BCT was "provide information about behavior-health link" in the group intervention and "prompt barrier identification" in the individual intervention. The interventions included similar BCTs. All text units targeting behavior change were codable into BCTs. The similarity of the two interventions may have implications for the cost-effectiveness of the interventions. The taxonomy was found sufficient to describe both interventions. This level of specification can be used to ensure that precisely the same intervention that has been pilot tested is reproducible in the clinical setting and in any further research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 28%
Student > Ph. D. Student 5 17%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Researcher 2 7%
Other 3 10%
Unknown 7 24%
Readers by discipline Count As %
Psychology 8 28%
Medicine and Dentistry 4 14%
Nursing and Health Professions 3 10%
Computer Science 2 7%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 10 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 August 2015.
All research outputs
#14,231,577
of 22,816,807 outputs
Outputs from Psychology Research and Behavior Management
#289
of 554 outputs
Outputs of similar age
#135,475
of 263,437 outputs
Outputs of similar age from Psychology Research and Behavior Management
#7
of 11 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 263,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.