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Identification of behaviour change techniques in deprescribing interventions: a systematic review and meta-analysis

Overview of attention for article published in British Journal of Clinical Pharmacology, September 2018
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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)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
29 tweeters

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
99 Mendeley
Summary Twitter Dimensions citations
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Title
Identification of behaviour change techniques in deprescribing interventions: a systematic review and meta-analysis
Published in
British Journal of Clinical Pharmacology, September 2018
DOI 10.1111/bcp.13742
Pubmed ID
30129139
Authors

Christina R. Hansen, Denis O'Mahony, Patricia M. Kearney, Laura J. Sahm, Shane Cullinan, C.J.A. Huibers, Stefanie Thevelin, Anne W.S. Rutjes, Wilma Knol, Sven Streit, Stephen Byrne

Abstract

Deprescribing interventions safely and effectively optimise medication use in older people. However, questions remain about which componentsof interventions are key to effectively reduce inappropriate medication use. This systematic review examines the behaviour change techniques (BCTs) of deprescribing interventions and summarises intervention effectiveness on medication use and inappropriate prescribing. MEDLINE, EMBASE, Web of Science and Academic Search Complete and grey literature were searched for relevant literature. Randomised controlled trials (RCTs) were included if they reported on interventions in people aged ≥65 years. The BCT taxonomy was used to identify BCTs frequently observed in deprescribing interventions. Effectiveness of interventions on inappropriate medication use was summarised in meta-analyses. Medication appropriateness was assessed in according to STOPP criteria, Beers' criteria and national or local guidelines Between study heterogeneity was evaluated by I-squared and Chi-squared statistics. Risk of bias was assessed using the Cochrane Collaboration Tool for randomised controlled studies. Of the 1561 records identified, 25 studies were included in the review. Deprescribing interventions were effective in reducing number of drugs and inappropriate prescribing, but a large heterogeneity in effects was observed. BCT clusters including goals and planning; social support; shaping knowledge; natural consequences; comparison of behaviour; comparison of outcomes; regulation; antecedents; and identity had a positive effect on the effectiveness of interventions. In general, deprescribing interventions effectively reduce medication use and inappropriate prescribing in older people. Successful deprescribing is facilitated by the combination of BCTs involving a range of intervention components.

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Twitter Demographics

The data shown below were collected from the profiles of 29 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Researcher 15 15%
Student > Master 11 11%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 22 22%
Unknown 25 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 22 22%
Medicine and Dentistry 17 17%
Nursing and Health Professions 8 8%
Psychology 4 4%
Social Sciences 3 3%
Other 16 16%
Unknown 29 29%

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 24 June 2022.
All research outputs
#1,993,841
of 23,342,092 outputs
Outputs from British Journal of Clinical Pharmacology
#521
of 5,193 outputs
Outputs of similar age
#43,800
of 341,365 outputs
Outputs of similar age from British Journal of Clinical Pharmacology
#8
of 62 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,193 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 89% 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 341,365 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 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.

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