26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of medical students’ socioeconomic backgrounds on medical school application, admission and migration in Japan: a web-based survey

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          The aim of this study was to clarify and compare the socioeconomic backgrounds of medical students with those of other health professions and non-health faculty students in an era of increasing inequity in Japanese society.

          Design

          This was a quantitative nationwide study. Data were collected by a cross-sectional web-based anonymous questionnaire.

          Setting

          Data from years 3 and 4 medical, health professions and non-health faculty students across Japan were collected in 2021.

          Participants

          Participants were 1991 students from medical schools, 224 from dental, 419 from pharmacy, 326 from nursing, 144 from other health professions and 207 from non-health faculties.

          Results

          The proportion of high-income families (>18 million yen: ca. US$140 000) among medical students was 25.6%, higher than that of pharmacy (8.7%) and nursing students (4.1%) (p<0.01). One-third of medical students had a physician parent, more common than in non-medical students (p<0.01). Students who only applied to public medical schools and a regional quota ‘Chiiki-waku’ students with scholarship had lower family income and physician parents compared with those who applied to private medical schools (p<0.01), but they still had higher physician parents compared with non-medical students (p<0.01). Logistic regression revealed that having a physician parent (p<0.01), aspiring to the present profession during elementary school (p<0.01) and private upper secondary school graduation (p<0.01) predicted the likelihood of studying medicine. There were regional differences of backgrounds among medical students, and 80% of medical students with urban backgrounds intended to work in urban localities after graduation.

          Conclusions

          This study provides evidence that medical students in Japan hail from urban and higher income classes and physicians’ families. This finding has implications for the health workforce maldistribution in Japan. Widening the diversity of medical students is essential for solving physician workforce issues and meeting broad healthcare needs.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)

          Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported according to the CHERRIES statement will give readers a better understanding of the sample (self-)selection and its possible differences from a “representative” sample. It is hoped that author adherence to the checklist will increase the usefulness of such reports.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            How effective are selection methods in medical education? A systematic review.

            Selection methods used by medical schools should reliably identify whether candidates are likely to be successful in medical training and ultimately become competent clinicians. However, there is little consensus regarding methods that reliably evaluate non-academic attributes, and longitudinal studies examining predictors of success after qualification are insufficient. This systematic review synthesises the extant research evidence on the relative strengths of various selection methods. We offer a research agenda and identify key considerations to inform policy and practice in the next 50 years.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Fair access to medicine? Retrospective analysis of UK medical schools application data 2009-2012 using three measures of socioeconomic status

              Background Medical students have historically largely come from more affluent parts of society, leading many countries to seek to broaden access to medical careers on the grounds of social justice and the perceived benefits of greater workforce diversity. The aim of this study was to examine variation in socioeconomic status (SES) of applicants to study medicine and applicants with an accepted offer from a medical school, comparing the four UK countries and individual medical schools. Methods Retrospective analysis of application data for 22 UK medical schools 2009/10-2011/12. Data were analysed for all 32,964 UK-domiciled applicants aged <20 years to 22 non-graduate medical schools requiring applicants to sit the United Kingdom Clinical Aptitude Test (UKCAT). Rates of applicants and accepted offers were compared using three measures of SES: (1) Postcode-assigned Index of Multiple Deprivation score (IMD); (2) School type; (3) Parental occupation measured by the National Statistics Socio Economic Classification (NS-SEC). Results There is a marked social gradient of applicants and applicants with accepted offers with, depending on UK country of residence, 19.7–34.5 % of applicants living in the most affluent tenth of postcodes vs 1.8–5.7 % in the least affluent tenth. However, the majority of applicants in all postcodes had parents in the highest SES occupational group (NS-SEC1). Applicants resident in the most deprived postcodes, with parents from lower SES occupational groups (NS-SEC4/5) and attending non-selective state schools were less likely to obtain an accepted offer of a place at medical school further steepening the observed social gradient. Medical schools varied significantly in the percentage of individuals from NS-SEC 4/5 applying (2.3 %–8.4 %) and gaining an accepted offer (1.2 %–7.7 %). Conclusion Regardless of the measure, those from less affluent backgrounds are less likely to apply and less likely to gain an accepted offer to study medicine. Postcode-based measures such as IMD may be misleading, but individual measures like NS-SEC can be gamed by applicants. The previously unreported variation between UK countries and between medical schools warrants further investigation as it implies solutions are available but inconsistently applied.
                Bookmark

                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                5 September 2023
                : 13
                : 9
                : e073559
                Affiliations
                [1 ]departmentMedical Education Development Center, Graduate School of Medicine , Ringgold_12785Gifu University , Gifu, Japan
                [2 ]departmentDepartment of Medical Education , Ringgold_12847Juntendo University , Bunkyo-ku, Tokyo, Japan
                [3 ]departmentMedical Education Research and Scholarship Unit , Ringgold_371018Lee Kong Chian School of Medicine , Singapore
                Author notes
                [Correspondence to ] Dr Yasuyuki Suzuki; suzuki.yasuyuki.d6@ 123456f.gifu-u.ac.jp
                Author information
                http://orcid.org/0000-0003-1281-2834
                Article
                bmjopen-2023-073559
                10.1136/bmjopen-2023-073559
                10481750
                37669839
                1ebba7b3-de28-46b3-8fb9-0f13caa1002c
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 09 March 2023
                : 16 August 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: 20H03909
                Categories
                Medical Education and Training
                1506
                1709
                Original research
                Custom metadata
                unlocked

                Medicine
                medical education & training,social medicine,human resource management
                Medicine
                medical education & training, social medicine, human resource management

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content95

                Cited by3

                Most referenced authors174