Abstract/References

Impact of general practice / family medicine clerkships on Japanese medical students: Using text mining to analyze reflective writing

Koki Nakamura, Satoshi Kanke, Goro Hoshi, Yoshihiro Toyoda, Kazutaka Yoshida, Ryuki Kassai

Author information
  • Koki Nakamura

    Department of Community and Family Medicine, Fukushima Medical University
    Fukushima Centre for General Physicians, Fukushima Medical University
    Center for Medical Education and Career Development, Fukushima Medical University

  • Satoshi Kanke

    Department of Community and Family Medicine, Fukushima Medical University
    Fukushima Centre for General Physicians, Fukushima Medical University

  • Goro Hoshi

    Hoshi Yokozuka Clinic

  • Yoshihiro Toyoda

    Kitakata Centre for Community and Family Medicine

  • Kazutaka Yoshida

    Department of Community and Family Medicine, Fukushima Medical University
    Hobara Central Clinic

  • Ryuki Kassai

    Department of Community and Family Medicine, Fukushima Medical University

Abstract

Background: In order for general practice / family medicine clerkships to be improved in undergraduate medical education, it is necessary to clarify the impacts of general practice / family medicine clerkships. Using text mining to analyze the reflective writing of medical students may be useful for further understanding the impacts of clinical clerkships on medical students.


Methods: The study involved 125 fifth-year Fukushima Medical University School of Medicine students in the academic year 2018-2019. The settings were three clinics and the study period was 5 days. The clerkships included outpatient and home visits. Students’ reflective writing on their clerkship experience was collected on the final day. Text mining was used to extract the most frequent words (nouns) from the reflective writing. A co-occurrence network map was created to illustrate the relationships between the most frequent words.


Results: 124 students participated in the study. The total number of sentences extracted was 321 and the total number of words was 10,627. The top five frequently-occurring words were patient, home-visit, medical practice, medical care, and family. From the co-occurrence network map, a co-occurrence relationship was recognized between home-visit and family.


Conclusion: Data suggest that medical students may learn the necessity of care for the family as well as the patient in a home-care setting.

The cintent of reseach paper

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