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Analysis System for Self-Efficacy Training (ASSET): Assessing treatment fidelity of self-management interventions


Zinken, KA and Cradock, S and Skinner, TC, Analysis System for Self-Efficacy Training (ASSET): Assessing treatment fidelity of self-management interventions, Patient Education and Counseling: An Interdisciplinary Journal for Patient Education Researchers and Managers, 72, (2) pp. 186-193. ISSN 0738-3991 (2008) [Refereed Article]

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DOI: doi:10.1016/j.pec.2008.04.006


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. © 2008 Elsevier Ireland Ltd. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Health Sciences
Research Group:Nursing
Research Field:Nursing not elsewhere classified
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Skinner, TC (Professor Timothy Skinner)
ID Code:74160
Year Published:2008
Web of Science® Times Cited:23
Deposited By:Research Division
Deposited On:2011-11-14
Last Modified:2012-03-30

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