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使用临床研究评估清单评估临床研究培训计划。

Evaluation of clinical research training programs using the clinical research appraisal inventory.

机构信息

Clinical Research Training Center, Washington University School of Medicine, St. Louis, Missouri, USA.

出版信息

Clin Transl Sci. 2010 Oct;3(5):243-8. doi: 10.1111/j.1752-8062.2010.00229.x.

DOI:10.1111/j.1752-8062.2010.00229.x
PMID:21442017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3062999/
Abstract

The purpose of this study was to measure change in clinical research self-efficacy after participating in KL2, postdoctoral and predoctoral clinical research training programs at Washington University School of Medicine. We surveyed program participants using a 76-item version of the Clinical Research Appraisal Inventory (CRAI). Principal components analysis (PCA) examined the CRAI’s underlying factor structure; Cronbach alpha measured the internal consistency of items on each subscale and the overall CRAI. CRAI score changes from baseline to 1-year follow-up were assessed using repeated-measures analysis of variance. All 29 KL2, 47 postdoctoral, and 31 TL1 scholars enrolled 2006-2009 (mean age 31.6 years, range 22-44; 59.6% female; 65.4% white) completed baseline surveys. Of these participants, 22 KL2, 17 postdoctoral, and 21 TL1 scholars completed the 1-year follow-up assessment. PCA resulted in a seven-factor solution with 69 items (alphas > 0.849 for each subscale and 69-item CRAI). Significant improvements at 1-year follow-up were observed across all programs for Study Design/Data Analysis ( p = .016), Interpreting/Reporting/Presenting ( p = .034), and overall CRAI ( p = .050). Differences between programs were observed for all but one subscale (each p < .05). Clinical research self-efficacy increased 1 year after clinical research training. Whether this short-term outcome correlates with long-term clinical research productivity, requires further study.

摘要

本研究旨在测量华盛顿大学医学院 KL2、博士后和博士前临床研究培训计划参与者在临床研究自我效能方面的变化。我们使用临床研究评估清单(CRAI)的 76 项版本对项目参与者进行了调查。主成分分析(PCA)检查了 CRAI 的潜在因素结构;克朗巴赫α测量了每个子量表和整个 CRAI 上项目的内部一致性。使用重复测量方差分析评估了从基线到 1 年随访的 CRAI 评分变化。2006-2009 年,所有 29 名 KL2、47 名博士后和 31 名 TL1 学者(平均年龄 31.6 岁,范围 22-44;59.6%为女性;65.4%为白人)完成了基线调查。在这些参与者中,22 名 KL2、17 名博士后和 21 名 TL1 学者完成了 1 年随访评估。PCA 产生了一个具有 69 个项目的七因子解决方案(每个子量表的α值> 0.849,以及 69 项 CRAI)。所有项目在研究设计/数据分析(p=0.016)、解释/报告/呈现(p=0.034)以及总体 CRAI(p=0.050)方面在 1 年随访时均观察到显著改善。除了一个子量表外(每个 p<0.05),各个项目之间都存在差异。临床研究培训后 1 年,临床研究自我效能增加。这种短期结果是否与长期临床研究生产力相关,需要进一步研究。

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