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Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR)

Overview of attention for article published in BMC Medical Research Methodology, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 2,310)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 policy source
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291 X users
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1 Facebook page

Citations

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105 Dimensions

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182 Mendeley
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Title
Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR)
Published in
BMC Medical Research Methodology, April 2017
DOI 10.1186/s12874-017-0349-x
Pubmed ID
Authors

Simon Lewin, Maggie Hendry, Jackie Chandler, Andrew D. Oxman, Susan Michie, Sasha Shepperd, Barnaby C. Reeves, Peter Tugwell, Karin Hannes, Eva A. Rehfuess, Vivien Welch, Joanne E. Mckenzie, Belinda Burford, Jennifer Petkovic, Laurie M. Anderson, Janet Harris, Jane Noyes

Abstract

Health interventions fall along a spectrum from simple to more complex. There is wide interest in methods for reviewing 'complex interventions', but few transparent approaches for assessing intervention complexity in systematic reviews. Such assessments may assist review authors in, for example, systematically describing interventions and developing logic models. This paper describes the development and application of the intervention Complexity Assessment Tool for Systematic Reviews (iCAT_SR), a new tool to assess and categorise levels of intervention complexity in systematic reviews. We developed the iCAT_SR by adapting and extending an existing complexity assessment tool for randomized trials. We undertook this adaptation using a consensus approach in which possible complexity dimensions were circulated for feedback to a panel of methodologists with expertise in complex interventions and systematic reviews. Based on these inputs, we developed a draft version of the tool. We then invited a second round of feedback from the panel and a wider group of systematic reviewers. This informed further refinement of the tool. The tool comprises ten dimensions: (1) the number of active components in the intervention; (2) the number of behaviours of recipients to which the intervention is directed; (3) the range and number of organizational levels targeted by the intervention; (4) the degree of tailoring intended or flexibility permitted across sites or individuals in applying or implementing the intervention; (5) the level of skill required by those delivering the intervention; (6) the level of skill required by those receiving the intervention; (7) the degree of interaction between intervention components; (8) the degree to which the effects of the intervention are context dependent; (9) the degree to which the effects of the interventions are changed by recipient or provider factors; (10) and the nature of the causal pathway between intervention and outcome. Dimensions 1-6 are considered 'core' dimensions. Dimensions 7-10 are optional and may not be useful for all interventions. The iCAT_SR tool facilitates more in-depth, systematic assessment of the complexity of interventions in systematic reviews and can assist in undertaking reviews and interpreting review findings. Further testing of the tool is now needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 291 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 19%
Student > Ph. D. Student 24 13%
Student > Master 21 12%
Other 12 7%
Student > Bachelor 12 7%
Other 35 19%
Unknown 43 24%
Readers by discipline Count As %
Medicine and Dentistry 37 20%
Nursing and Health Professions 24 13%
Social Sciences 17 9%
Psychology 13 7%
Engineering 5 3%
Other 27 15%
Unknown 59 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 171. 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 14 December 2022.
All research outputs
#240,124
of 25,709,917 outputs
Outputs from BMC Medical Research Methodology
#15
of 2,310 outputs
Outputs of similar age
#4,986
of 324,505 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 38 outputs
Altmetric has tracked 25,709,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,310 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 particularly well, scoring higher than 99% 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 324,505 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 98% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.