Use of dynamic systems methods to characterize dyadic interactions in smoking cessation behavioural support sessions: A feasibility study.
Heather Louise GainforthFabiana LorencattoKarl EricksonKristy BaxterKailey OwensSusan MichieRobert WestPublished in: British journal of health psychology (2018)
State space grids provide a method for characterizing the complexity and variability of practitioner-delivered and client-received BCTs in behavioural support sessions. This method has potential to add explanatory value to smoking cessation intervention outcomes. Statement of Contribution What is already known on this subject? Frameworks exist for characterizing practitioner-delivered and client-received behaviour change techniques (BCTs). Methods are still needed to investigate which BCTs are effective under what conditions. State space grids (SSGs) are a dynamic systems method that may better characterize behavioural support interactions. What does this study add? First reliable, dynamic systems, SSG coding procedures, methods, and measures to characterize behavioural support. A method for examining reciprocality and temporal patterning of BCT delivery and receipt. Establishes a dynamic systems method that adds explanatory value to the outcomes of interventions.