在临床实践中使用药物基因组学数据时医生舒适度的预测因素:一项横断面研究

Prince Otchere, S. Pak, Edinen Asuka
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摘要

目的:药物基因组学数据在临床实践中的应用是实现个体化和精准化医疗的关键一步。这是一项横断面研究,通过纳入调查报告中概述的几个变量来评估和分析可能影响临床医生使用或不使用药物基因组学的原因或行为。方法:在本研究中,我们对凯特林健康网络机构的初级医师进行了横断面定量调查。共发出1201份邀请,135名医生参与了调查。通过电子邮件要求医生参与一项调查,该调查包含14道选择题,内容涉及他们对药物基因组学的理解和信念,以及关于特定专业细节的问题,旨在探讨医生特征如何影响在患者护理中使用药物基因组学数据的熟悉度、舒适度和信心。使用Statistical Package for the Social Sciences(标准版25)进行统计分析,并通过调查链接获得所有研究参与者的同意。结果:对药物遗传学的熟悉度、舒适度和置信度评分呈高度相关(r = 0.81 ~ 0.87)。因此,我们将三个评级相加,形成三个项目的综合得分;以下简称“量表分数”。可能得分范围从5到15,而实际得分范围从3到15 (Mean = 6.32, SD = 3.12)。量表得分与年龄(r = 0.12, p < 0.17)或执业年数(r = 0.11, p < 0.22)无统计学显著相关,与每周护理患者小时数仅呈弱相关(负相关)(r = -0.17, p < 0.05)。结论:在我们的研究中,在药物基因组学领域受过一定教育的医生更有可能在临床实践中使用药物基因组学数据。我们进一步表明,继续医学教育(CME)比医学教育或住院医师培训更能显著预测使用药物基因组学数据的熟悉度、信心或舒适度。因此,药物基因组学应该被整合到临床医师和研究生医学教育的CME中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of physician comfort in using pharmacogenomics data in clinical practice: A cross-sectional study
Objective: Utilization of pharmacogenomics data in clinical practice is a critical step towards individual and precision medicine. This is a cross-sectional study conducted by incorporating several variables as outlined in the survey report to assess and analyze the reasons or behaviors that could influence clinicians to use or not use pharmacogenomics. Methods: In this study, we conducted a cross-sectional quantitative survey among primary physicians practicing in Kettering Health Network facilities. 1,201 invitations were sent out and 135 Physicians participated in the survey. Physicians were requested by email to participate in a survey containing 14 multiple choice questions regarding their understanding and beliefs regarding pharmacogenomics, as well as questions about specific professional details which were intended to explore how physician characteristics affected familiarity, and comfort and confidence in using pharmacogenomics data in patient care. Statistical Package for the Social Sciences (standard version 25) was used for statistical analysis and consent was obtained from all study participants through the survey link. Results: The ratings of the familiarly, comfort, and confidence with pharmacogenetics were highly intercorrelated (r = 0.81-0.87).  Accordingly, we summed the three ratings to form a composite score of the three items; hereafter referred to as “scale scores”.  Possible scores ranged from 5 to 15, whereas actual scores ranged from 3 to 15 (Mean = 6.32, SD = 3.12). Scale scores were not statistically significantly correlated with age (r = 0.12, p < 0.17) or number of years in practice (r = 0.11, p < 0.22), and were only weakly (inversely) correlated with number of hours spent in patient care each week (r = -0.17, p < 0.05). Conclusion: In our study, physicians who had some education in the field of pharmacogenomics were more likely to use pharmacogenomics data in clinical practice. We have further characterized that continuing medical education (CME), more than medical education or residency training significantly predicts familiarity, confidence, or comfort in using pharmacogenomics data. Therefore, pharmacogenomics should be integrated in the CME for practicing clinicians as well as graduate medical education.
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