Dr. Kaatz is assistant scientist, Center for Women's Health Research, University of Wisconsin-Madison, Madison, Wisconsin. Ms. Magua is a doctoral candidate, Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin. Dr. Zimmerman is professor, Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin. Dr. Carnes is director, Center for Women's Health Research, and professor, Departments of Medicine, Psychiatry, and Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin; and part-time physician, William S. Middleton Memorial Veterans Hospital Geriatric Research Education and Clinical Center, Madison, Wisconsin.
Acad Med. 2015 Jan;90(1):69-75. doi: 10.1097/ACM.0000000000000442.
Career advancement in academic medicine often hinges on the ability to garner research funds. The National Institutes of Health's (NIH's) R01 award is the "gold standard" of an independent research program. Studies show inconsistencies in R01 reviewers' scoring and in award outcomes for certain applicant groups. Consistent with the NIH recommendation to examine potential bias in R01 peer review, the authors performed a text analysis of R01 reviewers' critiques.
The authors collected 454 critiques (262 from 91 unfunded and 192 from 67 funded applications) from 67 of 76 (88%) R01 investigators at the University of Wisconsin-Madison with initially unfunded applications subsequently funded between December 2007 and May 2009. To analyze critiques, the authors developed positive and negative grant application evaluation word categories and selected five existing categories relevant to grant review. They analyzed results with linear mixed-effects models for differences due to applicant and application characteristics.
Critiques of funded applications contained more positive descriptors and superlatives and fewer negative evaluation words than critiques of unfunded applications. Experienced investigators' critiques contained more references to competence. Critiques showed differences due to applicant sex despite similar application scores or funding outcomes: more praise for applications from female investigators, greater reference to competence/ability for funded applications from female experienced investigators, and more negative evaluation words for applications from male investigators (all P<.05).
Results suggest that text analysis is a promising tool for assessing consistency in R01 reviewers' judgments, and gender stereotypes may operate in R01 review.
学术医学领域的职业发展通常取决于获取研究资金的能力。美国国立卫生研究院 (NIH) 的 R01 奖是独立研究计划的“金标准”。研究表明,R01 评审员的评分和某些申请人群体的获奖结果存在不一致。为了响应 NIH 审查 R01 同行评审中潜在偏见的建议,作者对 R01 评审员的评论进行了文本分析。
作者从威斯康星大学麦迪逊分校的 76 名 R01 研究人员中收集了 454 条评论(262 条来自 91 项未获资助的申请,192 条来自 67 项获资助的申请),这些评论来自于最初未获资助但随后在 2007 年 12 月至 2009 年 5 月期间获得资助的 67 名申请人员。为了分析评论,作者开发了积极和消极的资助申请评估词汇类别,并选择了与资助审查相关的五个现有类别。他们使用线性混合效应模型分析了由于申请人和申请特点而导致的结果差异。
与未获资助的申请相比,获资助申请的评论中包含了更多的正面描述词和最高级词,以及更少的负面评价词。经验丰富的研究人员的评论中更多地提到了能力。尽管申请评分或资助结果相似,但评论仍因申请人性别而存在差异:女性研究人员的申请受到更多的赞扬,获得资助的女性经验丰富的研究人员的申请更多地提到了能力/能力,而男性研究人员的申请则更多地使用了负面评价词(均 P<.05)。
结果表明,文本分析是评估 R01 评审员判断一致性的有前途的工具,并且性别刻板印象可能在 R01 审查中起作用。