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

被引:5
|
作者
Macarthur, Jack [1 ]
Eaton, Mike [1 ]
Mattick, Karen [1 ,2 ]
机构
[1] Univ Exeter, Coll Med & Hlth, Exeter, Devon, England
[2] Univ Exeter, Ctr Res Profess Learning, Exeter, Devon, England
关键词
Medical education; Images; Prospectuses; Websites; CHOICE;
D O I
10.1007/s40037-019-00528-5
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Introduction 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. Methods 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. Results 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. Discussion 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.
引用
收藏
页码:246 / 252
页数:7
相关论文
共 9 条
  • [1] Not Every Picture Tells a Story: A Content Analysis of Visual Images in Patient Educational Resources About Gout
    Krasnoryadtseva, Alina
    Derksen, Christina
    Dalbeth, Nicola
    Petrie, Keith J.
    JOURNAL OF RHEUMATOLOGY, 2020, 47 (12) : 1815 - 1821
  • [2] Every Picture Tells a Story: Generating Sentences from Images
    Farhadi, Ali
    Hejrati, Mohsen
    Sadeghi, Mohammad Amin
    Young, Peter
    Rashtchian, Cyrus
    Hockenmaier, Julia
    Forsyth, David
    COMPUTER VISION-ECCV 2010, PT IV, 2010, 6314 : 15 - +
  • [3] EVERY PICTURE TELLS A STORY, WORD AND IMAGES IN AMERICAN FOLK ART
    LEDES, AE
    MAGAZINE ANTIQUES, 1994, 146 (04): : 404 - &
  • [4] EVERY PICTURE TELLS A STORY - HISTORIC IMAGES, TIPI CAMPS, AND ARCHAEOLOGY
    BANKS, KM
    SNORTLAND, JS
    PLAINS ANTHROPOLOGIST, 1995, 40 (152) : 125 - 144
  • [6] Every picture tells a story: Combining interpretative phenomenological analysis with visual research
    Bartoli, Angie
    QUALITATIVE SOCIAL WORK, 2020, 19 (5-6) : 1007 - 1021
  • [7] Every document and picture tells a story: using internal corporate document reviews, semiotics, and content analysis to assess tobacco advertising
    Anderson, S. J.
    Dewhirst, T.
    Ling, P. M.
    TOBACCO CONTROL, 2006, 15 (03) : 254 - 261
  • [8] A picture tells a thousand words: A content analysis of concussion-related images online
    Ahmed, Osman H.
    Lee, Hopin
    Struik, Laura L.
    PHYSICAL THERAPY IN SPORT, 2016, 21 : 82 - 86
  • [9] Physicians' Conceptions of the Dying Patient: Scoping Review and Qualitative Content Analysis of the United Kingdom Medical Literature
    Qureshi, Shaun Peter
    Jones, Derek
    Dewar, Avril
    QUALITATIVE HEALTH RESEARCH, 2022, 32 (12) : 1881 - 1896