Journal article

Reliability of Identification of Behavior Change Techniques in Intervention Descriptions

Charles Abraham, Caroline E Wood, Marie Johnston, Jill Francis, Wendy Hardeman, Michelle Richardson, Susan Michie



PURPOSE: The aim of this paper is to assess the frequency of identification as well as the inter-coder and test-retest reliability of identification of behavior change techniques (BCTs) in written intervention descriptions. METHODS: Forty trained coders applied the "Behavior Change Technique Taxonomy version 1" (BCTTv1) to 40 intervention descriptions published in protocols and repeated this 1 month later. RESULTS: Eighty of 93 defined BCTs were identified by at least one trained coder, and 22 BCTs were identified in 16 (40 %) or more of 40 descriptions. Good inter-coder reliability was observed across 80 BCTs identified in the protocols: 66 (80 %) achieved mean prevalence and bias-adjusted ..

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University of Melbourne Researchers


Awarded by Medical Research Council

Funding Acknowledgements

The work was carried out as part of the BCT Taxonomy project funded by the Medical Research Council [G0901474/1]. We are grateful to Kate Sheals (KS) for help with coding and to Professor Tania Huedo-Medina of the Department of Statistics, University of Connecticut for sharing her AC1 calculator with us. We acknowledge funding from the UK National Institute for Health Research (NIHR) and the Peninsula Collaboration for Leadership in Applied Health Research and Care. The views expressed in this paper are those of the authors and not necessarily those of NIHR or the UK Department of Health. Author order reflects contribution to the paper.