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Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions
Katarzyna M Zinken1, Sue Cradock, T Chas Skinner
1School of Psychology, University of Southampton, Highfield, Southampton, UK. kzinken@soton.ac.uk
Objective:
The paper presents the development of a coding tool for self-efficacy orientated interventions in diabetes self-management programmes (Analysis System for Self-Efficacy Training, ASSET) and explores its construct validity and clinical utility.
Methods:
Based on four sources of self-efficacy (i.e., mastery experience, role modelling, verbal persuasion and physiological and affective states), published self-efficacy based interventions for diabetes care were analysed in order to identify specific verbal behavioural techniques. Video-recorded facilitating behaviours were evaluated using ASSET.
Results:
The reliability between four coders was high (K=0.71). ASSET enabled assessment of both self-efficacy based techniques and participants' response to those techniques. Individual patterns of delivery and shifts over time across facilitators were found. In the presented intervention we observed that self-efficacy utterances were followed by longer patient verbal responses than non-self-efficacy utterances.
Conclusion:
These detailed analyses with ASSET provide rich data and give the researcher an insight into the underlying mechanism of the intervention process.
Practice Implications:
By providing a detailed description of self-efficacy strategies ASSET can be used by health care professionals to guide reflective practice and support training programmes.
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