Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions
| Autor: | Katarzyna M, Zinken, Sue, Cradock, T Chas, Skinner |
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| Rok vydání: | 2007 |
| Předmět: |
Male
Observer Variation Analysis of Variance Health Knowledge Attitudes Practice Abstracting and Indexing Verbal Behavior Data Collection Health Behavior Persuasive Communication Role Videotape Recording Professional-Patient Relations Middle Aged Self Efficacy United Kingdom Self Care Affect Diabetes Mellitus Type 1 Patient Education as Topic Humans Patient Compliance Female Psychological Theory Internal-External Control |
| Zdroj: | Patient education and counseling. 72(2) |
| ISSN: | 0738-3991 |
| Popis: | 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.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.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.These detailed analyses with ASSET provide rich data and give the researcher an insight into the underlying mechanism of the intervention process.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. |
| Databáze: | OpenAIRE |
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