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评估医生的动机性沟通技巧:动机性沟通能力评估测试的五步混合方法开发研究

Assessing Physician's Motivational Communication Skills: 5-Step Mixed Methods Development Study of the Motivational Communication Competency Assessment Test.

作者信息

Gosselin Boucher Vincent, Bacon Simon, Voisard Brigitte, Dragomir Anda I, Gemme Claudia, Larue Florent, Labbé Sara, Szczepanik Geneviève, Corace Kimberly, Campbell Tavis, Vallis Michael, Garber Gary, Rouleau Codie, Diodati Jean G, Rabi Doreen, Sultan Serge, Lavoie Kim

机构信息

Montreal Behavioural Medicine Centre, Centre Intégré Universitaire de santé et services sociaux du Nord-de-l'Ile-de-Montréal (CIUSSSNIM), Montreal, QC, Canada.

Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada.

出版信息

JMIR Med Educ. 2022 Jun 24;8(2):e31489. doi: 10.2196/31489.

Abstract

BACKGROUND

Training physicians to provide effective behavior change counseling using approaches such as motivational communication (MC) is an important aspect of noncommunicable chronic disease prevention and management. However, existing evaluation tools for MC skills are complex, invasive, time consuming, and impractical for use within the medical context.

OBJECTIVE

The objective of this study is to develop and validate a short web-based tool for evaluating health care provider (HCP) skills in MC-the Motivational Communication Competency Assessment Test (MC-CAT).

METHODS

Between 2016 and 2021, starting with a set of 11 previously identified core MC competencies and using a 5-step, mixed methods, integrated knowledge translation approach, the MC-CAT was created by developing a series of 4 base cases and a scoring scheme, validating the base cases and scoring scheme with international experts, creating 3 alternative versions of the 4 base cases (to create a bank of 16 cases, 4 of each type of base case) and translating the cases into French, integrating the cases into the web-based MC-CAT platform, and conducting initial internal validity assessments with university health students.

RESULTS

The MC-CAT assesses MC competency in 20 minutes by presenting HCPs with 4 out of a possible 16 cases (randomly selected and ordered) addressing various behavioral targets (eg, smoking, physical activity, diet, and medication adherence). Individual and global competency scores were calculated automatically for the 11 competency items across the 4 cases, providing automatic scores out of 100. From the factorial analysis of variance for the difference in competency and ranking scores, no significant differences were identified between the different case versions across individual and global competency (P=.26 to P=.97) and ranking scores (P=.24 to P=.89). The initial tests of internal consistency for rank order among the 24 student participants were in the acceptable range (α=.78).

CONCLUSIONS

The results suggest that MC-CAT is an internally valid tool to facilitate the evaluation of MC competencies among HCPs and is ready to undergo comprehensive psychometric property analyses with a national sample of health care providers. Once psychometric property assessments have been completed, this tool is expected to facilitate the assessment of MC skills among HCPs, skills that will better support patients in adopting healthier lifestyles, which will significantly reduce the personal, social, and economic burdens of noncommunicable chronic diseases.

摘要

背景

培训医生运用动机性沟通(MC)等方法提供有效的行为改变咨询,是非传染性慢性病预防和管理的重要方面。然而,现有的MC技能评估工具复杂、具有侵入性、耗时且在医疗环境中不实用。

目的

本研究的目的是开发并验证一种基于网络的简短工具,用于评估医疗保健提供者(HCP)的MC技能——动机性沟通能力评估测试(MC-CAT)。

方法

在2016年至2021年期间,从一组先前确定的11项核心MC能力出发,采用五步混合方法、综合知识转化方法,通过开发一系列4个基础案例和一个评分方案来创建MC-CAT,与国际专家一起验证基础案例和评分方案,创建4个基础案例的3个替代版本(以创建一个包含16个案例的库,每种基础案例各4个)并将案例翻译成法语,将案例整合到基于网络的MC-CAT平台中,并对大学健康专业学生进行初步内部效度评估。

结果

MC-CAT通过向HCP呈现16个案例中可能的4个案例(随机选择和排序)来评估MC能力,这些案例涉及各种行为目标(如吸烟、体育活动、饮食和药物依从性)。针对4个案例中的11项能力项目自动计算个人和整体能力得分,满分为100分。从能力和排名得分差异的方差分析来看,不同案例版本在个人和整体能力(P = 0.26至P = 0.97)以及排名得分(P = 0.24至P = 0.89)方面未发现显著差异。24名学生参与者之间排名顺序的内部一致性初始测试处于可接受范围(α = 0.78)。

结论

结果表明,MC-CAT是一种内部有效的工具,有助于评估HCP的MC能力,并准备好对全国医疗保健提供者样本进行全面的心理测量学特性分析。一旦完成心理测量学特性评估,预计该工具将有助于评估HCP的MC技能,这些技能将更好地支持患者采用更健康的生活方式,这将显著减轻非传染性慢性病的个人、社会和经济负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7828/9270716/741720a63e9a/mededu_v8i2e31489_fig1.jpg

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