首页> 外文期刊>Pharmacy Practice >Creation and validation of a semi-quantitative instrument to assess the confidence of pharmacists in medication consultation for patients with depression: The pharmacists’ confidence scale about medication consultation for depressive patients (PCMCD)
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Creation and validation of a semi-quantitative instrument to assess the confidence of pharmacists in medication consultation for patients with depression: The pharmacists’ confidence scale about medication consultation for depressive patients (PCMCD)

机译:创建和验证半定量工具,评估药剂师对抑郁症患者药物咨询的信心:药剂师对抑郁症患者药物咨询的信心等级(PCMCD)

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Objectives: To develop a semi-quantitative instrument to assess pharmacists’ confidence in medication counseling for patients with depression, The Pharmacists’ Confidence scale about Medication Consultation for Depressive patients (PCMCD), and investigated its validity. Methods: Following discussions with practicing pharmacists, we developed a 12-item questionnaire to assess pharmacists’ confidence in medication counseling for patients with depression. We launched web-based cross-sectional survey during November and December 2018 to 77 pharmacists employed at drug chain stores in Kansai area. Factor analysis was performed to evaluate the configuration concept validity. The least-squares method was used for factor extraction, and the resulting factors were subjected to direct oblimin rotation, with a factor loading cut-off of 0.4. To assess internal consistency, Cronbach’s alpha values were calculated for each of the extracted factors (subscales). A multiple regression analysis was performed using simultaneous forced entry, with the scores obtained for each subscale as dependent variables and responder attributes as independent variables in order to investigate the factors associated with each subscale. Results: During the factor analysis procedure, four questions were excluded by the cut-off rule. Eventually, a model with three subscales was identified, with a cumulative sum of squared loadings being 61.9%. The subscales were termed “relationship building,” “comprehension of condition,” and “information provision” based on the nature of the questions relevant for each of them. The Cronbach’s alpha values for these subscales were 0.92, 0.73, and 0.72, respectively. The average inter-item correlation was 0.378. In addition, multiple regression analysis revealed that there were significant correlations between pharmacist career and both relationship building and information provision. Conclusions: The PCMCD model demonstrated a satisfactory construct validity and internal consistency. This model will provide an excellent tool for assessing pharmacists’ confidence in depression care.
机译:目标:制定半定量工具,以评估药师对抑郁症患者的药物咨询咨询,药剂师对抑郁症患者的施取量表(PCMCD),并调查其有效性。方法:与练习药剂师进行讨论后,我们开发了一项12项调查问卷,以评估药剂师对抑郁症患者的药物咨询的信心。我们于2018年11月和2018年12月推出了基于网络的横断面调查,到了Kansa地区的药链店雇用的77名药剂师。进行因子分析来评估配置概念有效性。最小二乘法用于因子提取,对所得因子进行直接屈指旋转,载荷截止为0.4。为了评估内部一致性,为每个提取的因子(分量)计算Cronbach的alpha值。使用同时强制条目执行多元回归分析,每个子等级获得的分数作为从属变量和响应者属性作为独立变量,以便研究与每个子级相关的因素。结果:在因子分析程序期间,截止规则排除了四个问题。最终,识别出具有三个分量的模型,具有61.9%的平方载荷的累积和。基于对每个问题的问题的性质,该分量被称为“关系建设”,“理解条件”和“信息规定”。这些分量的Cronbach的alpha值分别为0.92,0.73和0.72。平均项目间相关性为0.378。此外,多元回归分析表明,药剂师职业生涯与关系建设和信息提供之间存在显着相关性。结论:PCMCD模型展示了令人满意的构建有效性和内部一致性。该型号将提供一个优秀的工具,用于评估药剂师对抑郁症的信心。

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