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Every picture tells a story: Content analysis of medical school website and prospectus images in the United Kingdom

机译:每张照片都讲述了一个故事:在英国的医学院网站和招股说明书的内容分析

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The decision-making process for students as to which medical schools to apply to is open to many factors and influences. Research has identified several factors which influence prospective students choice of medical school and career. There is also evidence that websites and prospectuses may be creating potential barriers to widening access. The websites and prospectuses of 33 medical schools in the United Kingdom were searched for relevant images. These images and the people in them were subjected to inclusion/exclusion criteria. Data about the images and people were recorded so that a content analysis could be performed. The relative proportions were compared with pre-existing data relating to the medical profession and society. From 33 medical schools, 650 images were included, with 1,817 people depicted. The largest group for the assumed roles was student , as expected, with 1,423 people (78%). For the overall theme of the image, community placement themed images made up only 2% of images (14) and hospital placement themed images made up 24% (154). Chi-squared goodness of fit showed statistically significant results for most groups of data when comparing ethnicity, the overall theme of the image and assumed specialty group, but not when comparing gender. In conclusion, for gender, medical schools are accurately reflecting national data. However, for ethnicity medical schools fail to accurately represent national data, leading to incorrect signalling about the ethnic makeup of their students. Additionally, medical schools are signalling to students a strong preference for hospital-based settings, despite a strong national drive to recruit more general practitioners.
机译:学生的决策过程,申请的医学院适用于许多因素和影响。研究发现了几种影响前瞻性学生选择医学院和职业的因素。还有证据表明网站和招股说明书可能会产生扩大访问的潜在障碍。搜查了联合王国33所医学院的网站和招股说明书相关图像。这些图像和它们中的人受到包含/排除标准。记录有关图像和人员的数据,以便可以执行内容分析。将相对比例与与医学职业和社会有关的预先存在的数据进行了比较。从33所医学院,包括650张图片,其中1,817人描绘。最大的假设角色的群体是学生,预期,1,423人(78%)。对于图像的整体主题,社区放置主题图像仅占2%的图像(14)和医院放置主题图像24%(154)。当比较种族,图像的总体主题和假定特种组时,奇平方英尺的良好效果对大多数数据进行了统计上显着的结果。总之,对于性别来说,医学院准确反映了国家数据。然而,对于种族医学院未能准确地代表国家数据,导致关于学生族裔综合的信号传达不正确。此外,尽管强大的国家驱动器招募了更多的普通从业者,但医学院向学生提供了对基于医院的环境的强烈偏好。

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