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The development of a coding system to code planning talk within motivational interviewing

OBJECTIVE: Understanding mechanisms of motivational interviewing (MI) could improve practice. Planning is important for behavior change, and a component of MI. We aimed to develop a scale to measure planning talk within MI and explore the potential association between planning and weight loss mainte...

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Detalles Bibliográficos
Autores principales: Copeland, Lauren, McNamara, Rachel, Kelson, Mark, Simpson, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332025/
https://www.ncbi.nlm.nih.gov/pubmed/27637286
http://dx.doi.org/10.1016/j.pec.2016.09.003
Descripción
Sumario:OBJECTIVE: Understanding mechanisms of motivational interviewing (MI) could improve practice. Planning is important for behavior change, and a component of MI. We aimed to develop a scale to measure planning talk within MI and explore the potential association between planning and weight loss maintenance (WLM). METHODS: A literature review and thematic analysis was used to develop the coding system. Reliability was tested using MI examples and a transcript. It was applied to 50 sessions and associations between planning and WLM were analyzed using logistic and linear regression. RESULTS: The coding system included: past, continuing, future and hypothetical plans and goal setting, varying on specificity and commitment. The percentage agreement was 86% and 75% for examples and transcript reliability respectively. Frequent planners, potentially decrease their weight 2.8 kg(−9.7, 0.6) and BMI 1.2 kg/m(2)(−3.1, 0.4) more compared to less frequent planners. Frequent goal setters increase their BMI(3.6 kg/m(2), 1.5, 5.7) and weight (9.5 kg, 3.4, 15.6) compared to non-goal setters. CONCLUSION: It is feasible to measure planning, with acceptable agreement. Limited conclusions for the potential associations were demonstrated. PRACTICE IMPLICATIONS: This is the first scale to measure planning, an important aspect of MI which has received less attention.