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Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques

Overview of attention for article published in Health Psychology Review, September 2017
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
22 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
43 Mendeley
Title
Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques
Published in
Health Psychology Review, September 2017
DOI 10.1080/17437199.2017.1365617
Pubmed ID
Authors

Aikaterini Kassavou, Stephen Sutton

Abstract

Automated telecommunication interventions, including short message service and interactive voice response, are increasingly being used to promote adherence to medications prescribed for cardio-metabolic conditions. This systematic review aimed to comprehensively assess the effectiveness of such interventions to support medication adherence, and to identify the Behaviour Change Techniques (BCTs) and other intervention characteristics that are positively associated with greater intervention effectiveness. Meta-analysis of 17 randomised controlled trials showed a small but statistically significant effect on medication adherence OR=1.89, 95%CI [1.52, 2.36], I²=89%, N=25,037. Multivariate meta-regression analysis including eight BCTs explained 88% of the observed variance in effect size. The Behaviour Change Techniques 'tailored' and 'information about health consequences' were positively and significantly associated with effect size. Future studies could explore whether the inclusion of these and/or additional techniques (e.g., 'implementation intentions') would increase the effect of automated telecommunication interventions, using rigorous designs and objective outcome measures.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 16%
Researcher 7 16%
Student > Ph. D. Student 6 14%
Student > Postgraduate 5 12%
Student > Master 5 12%
Other 13 30%
Readers by discipline Count As %
Medicine and Dentistry 16 37%
Psychology 12 28%
Unspecified 8 19%
Nursing and Health Professions 3 7%
Decision Sciences 1 2%
Other 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 January 2019.
All research outputs
#726,745
of 13,187,018 outputs
Outputs from Health Psychology Review
#60
of 212 outputs
Outputs of similar age
#26,520
of 265,316 outputs
Outputs of similar age from Health Psychology Review
#2
of 11 outputs
Altmetric has tracked 13,187,018 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 212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one has gotten more attention than average, scoring higher than 71% 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 265,316 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 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.