Developing a method for specifying the components of behavior change interventions in practice: the example of
Fabiana Lorencatto1, Robert West, Natalie Seymour
1National Centre for Smoking Cessation and Training and Centre for Outcomes Research and Effectiveness, Department of Clinical, Educational, and Health Psychology, University College London, UK. fabi.lorencatto@ncsct.co.uk
A new method reliably classifies behavior change techniques (BCTs) in smoking cessation support. Training researchers and practitioners in this BCT taxonomy improves coding accuracy and competence.
Area of Science:
- Behavioral Science
- Public Health
- Intervention Science
Background:
- Interventions may differ from their planned delivery.
- Understanding delivered content is crucial for evaluating intervention effectiveness.
- Smoking cessation support involves complex behavioral change techniques (BCTs).
Purpose of the Study:
- To assess the applicability and reliability of a 53-item BCT taxonomy for classifying smoking cessation consultations.
- To develop and evaluate a training method for reliable application of the BCT taxonomy by researchers and practitioners.
Main Methods:
- Fifteen smoking cessation consultations were coded using the BCT taxonomy.
- Interrater reliability was assessed across three coding waves with taxonomy adaptations.
- A training manual was developed and piloted with 10 trainees to evaluate coding reliability and competence.
Main Results:
- An average of 33 BCTs were identified per consultation, with 12 BCTs delivered on average.
- High interrater reliability (88% agreement) was achieved.
- Post-training, coding reliability and self-perceived competence significantly improved for all trainees.
Conclusions:
- A BCT taxonomy can reliably classify delivered smoking cessation behavioral support.
- Inexperienced coders can be trained to apply the taxonomy effectively.
- This method aids in assessing support variability, monitoring delivery fidelity, and identifying training needs.
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