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

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Standard

Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions. / Zinken, Katarzyna M.; Cradock, Sue; Skinner, T. Chas.

In: Patient Education and Counseling, Vol. 72, No. 2, 01.08.2008, p. 186-193.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zinken, KM, Cradock, S & Skinner, TC 2008, 'Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions', Patient Education and Counseling, vol. 72, no. 2, pp. 186-193. https://doi.org/10.1016/j.pec.2008.04.006

APA

Zinken, K. M., Cradock, S., & Skinner, T. C. (2008). Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions. Patient Education and Counseling, 72(2), 186-193. https://doi.org/10.1016/j.pec.2008.04.006

Vancouver

Zinken KM, Cradock S, Skinner TC. Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions. Patient Education and Counseling. 2008 Aug 1;72(2):186-193. https://doi.org/10.1016/j.pec.2008.04.006

Author

Zinken, Katarzyna M. ; Cradock, Sue ; Skinner, T. Chas. / Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions. In: Patient Education and Counseling. 2008 ; Vol. 72, No. 2. pp. 186-193.

Bibtex

@article{d2d0c3aa24854ecf9cf2ef790fdd42ff,
title = "Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions",
abstract = "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.",
keywords = "Coding tool, Diabetes, Patient education, Self-efficacy",
author = "Zinken, {Katarzyna M.} and Sue Cradock and Skinner, {T. Chas}",
year = "2008",
month = aug,
day = "1",
doi = "10.1016/j.pec.2008.04.006",
language = "English",
volume = "72",
pages = "186--193",
journal = "Patient Education and Counseling",
issn = "0738-3991",
publisher = "Elsevier Ireland Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions

AU - Zinken, Katarzyna M.

AU - Cradock, Sue

AU - Skinner, T. Chas

PY - 2008/8/1

Y1 - 2008/8/1

N2 - 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.

AB - 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.

KW - Coding tool

KW - Diabetes

KW - Patient education

KW - Self-efficacy

UR - http://www.scopus.com/inward/record.url?scp=45649084924&partnerID=8YFLogxK

U2 - 10.1016/j.pec.2008.04.006

DO - 10.1016/j.pec.2008.04.006

M3 - Journal article

C2 - 18534809

AN - SCOPUS:45649084924

VL - 72

SP - 186

EP - 193

JO - Patient Education and Counseling

JF - Patient Education and Counseling

SN - 0738-3991

IS - 2

ER -

ID: 189876025