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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
13 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
83 Mendeley
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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 13 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 17%
Student > Ph. D. Student 13 16%
Student > Master 10 12%
Researcher 10 12%
Student > Postgraduate 7 8%
Other 14 17%
Unknown 15 18%
Readers by discipline Count As %
Medicine and Dentistry 29 35%
Psychology 19 23%
Nursing and Health Professions 8 10%
Computer Science 4 5%
Immunology and Microbiology 1 1%
Other 7 8%
Unknown 15 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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
#1,100,062
of 14,199,491 outputs
Outputs from Health Psychology Review
#91
of 237 outputs
Outputs of similar age
#34,022
of 268,153 outputs
Outputs of similar age from Health Psychology Review
#6
of 11 outputs
Altmetric has tracked 14,199,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.4. This one has gotten more attention than average, scoring higher than 61% 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 268,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.