JMIR出版物:医生性别、患者风险和基于网络的评价:卡塔尔世界杯8强波胆分析医师性别与网络评价关系的纵向研究[A Saifee,Danish Hasnain, A Hudnall,Matthew, A Raja,Uzma] +阿拉巴马大学信息系统、统计与管理科学系，塔斯卡卢萨大学大道801号，美国，35487-0290,1 205 348 0856，matthew.hudnall@ua.edu %K基于网络的医生评论%K性别%K性别偏见%K患者感知%K阿拉巴马州%K患者风险%D 2022 %7 8.4.2022 %9原文%J J Med Internet Res %G英语%X背景:自2010年代初以来，基于网络的医生评论在医疗保健消费者中变得非常流行。可能影响这些评价的一个因素是医生的性别，因为已经发现医生的性别会影响医患沟通。在考虑了几个重要的临床因素(包括患者风险、医生专业和时间因素)后，我们的研究是第一批使用时间固定效应进行严格的纵向分析，研究医生性别对其评价的影响。此外，这项研究是第一个研究基于网络的评价中可能存在的性别偏见的研究之一，该研究使用了来自阿拉巴马州的全州数据，阿拉巴马州是一个以农村为主的州，医疗补助和医疗保险的使用率很高。目的:本研究利用阿拉巴马州的数据，在考虑了患者风险和时间效应后，对医生性别与其基于网络的评价之间的关系进行了纵向实证调查。方法:我们创建了一个独特的数据集，结合了来自流行的医生评论网站RateMDs的基于网络的医生评论数据，以及来自阿拉巴马州医疗保险和医疗补助服务中心的临床数据。我们使用纵向计量经济学规范进行计量经济学分析，同时在四个评级维度(乐于助人、知识、员工和准时性)上控制几个重要的临床和审查特征。在我们的面板回归模型中，我们使用RateMDs的总体评分和这四个评分维度作为因变量，医生性别是关键的解释变量。 Results: The panel used to conduct the main econometric analysis included 1093 physicians. After controlling for several clinical and review factors, the physician random effects specifications showed that male physicians receive better web-based ratings than female physicians. Coefficients and corresponding SEs and P values of the binary variable GenderFemale (1 for female physicians and 0 otherwise) with different rating variables as outcomes were as follows: OverallRating (coefficient –0.194, SE 0.060; P=.001), HelpfulnessRating (coefficient –0.221, SE 0.069; P=.001), KnowledgeRating (coefficient –0.230, SE 0.065; P<.001), StaffRating (coefficient –0.123, SE 0.062; P=.049), and PunctualityRating (coefficient –0.200, SE 0.067; P=.003). The negative coefficients indicate a bias toward male physicians versus female physicians for aforementioned rating variables. Conclusions: This study found that female physicians receive lower web-based ratings than male physicians even after accounting for several clinical characteristics associated with the physicians and temporal effects. Although the magnitude of the coefficients of GenderFemale was relatively small, they were statistically significant. This study provides support to the findings on gender bias in the existing health care literature. We contribute to the existing literature by conducting a study using data across the state of Alabama and using a longitudinal econometric analysis, along with incorporating important clinical and review controls associated with the physicians. %M 35394435 %R 10.2196/31659 %U //www.mybigtv.com/2022/4/e31659 %U https://doi.org/10.2196/31659 %U http://www.ncbi.nlm.nih.gov/pubmed/35394435