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    의학교육의 코호트 구축을 위한 종단 데이터베이스 설계방안 연구 = Designing a Longitudinal Database for Cohort Construction in Medical Education

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    https://www.riss.kr/link?id=A108651340

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Longitudinal data can provide important evidence with the potential to stimulate innovation and affect policies in medical education and can serve as a driving force for further developments in medical education through evidence-based decisions. Tracking and observing cohorts of students and graduates using longitudinal data can be a way to link the past, present, and future of medical education. This study reviewed practical methods and technical, administrative, and ethical considerations for the establishment and operation of a longitudinal database and presented examples of longitudinal databases. Cohort study design methods and previous examples of research using longitudinal databases to explore major topics in medical education were also reviewed. The implications of this study are as follows: (1) a systematic design process is required to establish longitudinal data, and each university should engage in ongoing deliberation about this issue; (2) efforts are needed to alleviate “survey fatigue” among respondents and reduce the administrative burden of those conducting data collection and analysis; (3) it is necessary to regularly review issues of personal information protection, data security, and ethics regarding the survey respondents; and (4) a system should be established that integrates and manages a longitudinal database of medical education at the national level. The hope is that establishing longitudinal data and cohorts at individual medical schools will not be a temporary phenomenon, but rather that they will be well utilized at the national level to innovate and implement ongoing changes in medical education.
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    Longitudinal data can provide important evidence with the potential to stimulate innovation and affect policies in medical education and can serve as a driving force for further developments in medical education through evidence-based decisions. Track...

    Longitudinal data can provide important evidence with the potential to stimulate innovation and affect policies in medical education and can serve as a driving force for further developments in medical education through evidence-based decisions. Tracking and observing cohorts of students and graduates using longitudinal data can be a way to link the past, present, and future of medical education. This study reviewed practical methods and technical, administrative, and ethical considerations for the establishment and operation of a longitudinal database and presented examples of longitudinal databases. Cohort study design methods and previous examples of research using longitudinal databases to explore major topics in medical education were also reviewed. The implications of this study are as follows: (1) a systematic design process is required to establish longitudinal data, and each university should engage in ongoing deliberation about this issue; (2) efforts are needed to alleviate “survey fatigue” among respondents and reduce the administrative burden of those conducting data collection and analysis; (3) it is necessary to regularly review issues of personal information protection, data security, and ethics regarding the survey respondents; and (4) a system should be established that integrates and manages a longitudinal database of medical education at the national level. The hope is that establishing longitudinal data and cohorts at individual medical schools will not be a temporary phenomenon, but rather that they will be well utilized at the national level to innovate and implement ongoing changes in medical education.

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    참고문헌 (Reference)

    1 윤영철, "‘개인정보 보호법’의 문제점과 개선방안에 관한 고찰" 과학기술법연구원 18 (18): 105-160, 2012

    2 Iain R. Law, "The influence of international medical electives on career preference for primary care and rural practice" Springer Science and Business Media LLC 15 (15): 202-, 2015

    3 Boaz Shulruf, "The efficacy of medical student selection tools in Australia and New Zealand" AMPCo 208 (208): 214-218, 2018

    4 Marc M. Triola, "The Time Is Now: Using Graduates’ Practice Data to Drive Medical Education Reform" Ovid Technologies (Wolters Kluwer Health) 93 (93): 826-828, 2018

    5 Colleen Gillespie, "The Research on Medical Education Outcomes (ROMEO) Registry: Addressing Ethical and Practical Challenges of Using “Bigger,” Longitudinal Educational Data" Ovid Technologies (Wolters Kluwer Health) 91 (91): 690-695, 2016

    6 Mohammadreza Hojat, "The Devil is in the Third Year: A Longitudinal Study of Erosion of Empathy in Medical School" Ovid Technologies (Wolters Kluwer Health) 84 (84): 1182-1191, 2009

    7 M Hojat, "Students' personality and ratings of clinical competence in medical school clerkships: a longitudinal study" Informa UK Limited 9 (9): 247-252, 2004

    8 IC McManus, "Stress, burnout and doctors' attitudes to work are determined by personality and learning style: A twelve year longitudinal study of UK medical graduates" Springer Science and Business Media LLC 2 (2): 29-, 2004

    9 Carol Carraccio, "Shifting paradigms: from Flexner to competencies" Ovid Technologies (Wolters Kluwer Health) 77 (77): 361-367, 2002

    10 The New Zealand MSOD Steering Group, "National report on doctors one year after graduating from New Zealand medical schools in 2015-2019" The New Zealand MSOD Steering Group 2019

    1 윤영철, "‘개인정보 보호법’의 문제점과 개선방안에 관한 고찰" 과학기술법연구원 18 (18): 105-160, 2012

    2 Iain R. Law, "The influence of international medical electives on career preference for primary care and rural practice" Springer Science and Business Media LLC 15 (15): 202-, 2015

    3 Boaz Shulruf, "The efficacy of medical student selection tools in Australia and New Zealand" AMPCo 208 (208): 214-218, 2018

    4 Marc M. Triola, "The Time Is Now: Using Graduates’ Practice Data to Drive Medical Education Reform" Ovid Technologies (Wolters Kluwer Health) 93 (93): 826-828, 2018

    5 Colleen Gillespie, "The Research on Medical Education Outcomes (ROMEO) Registry: Addressing Ethical and Practical Challenges of Using “Bigger,” Longitudinal Educational Data" Ovid Technologies (Wolters Kluwer Health) 91 (91): 690-695, 2016

    6 Mohammadreza Hojat, "The Devil is in the Third Year: A Longitudinal Study of Erosion of Empathy in Medical School" Ovid Technologies (Wolters Kluwer Health) 84 (84): 1182-1191, 2009

    7 M Hojat, "Students' personality and ratings of clinical competence in medical school clerkships: a longitudinal study" Informa UK Limited 9 (9): 247-252, 2004

    8 IC McManus, "Stress, burnout and doctors' attitudes to work are determined by personality and learning style: A twelve year longitudinal study of UK medical graduates" Springer Science and Business Media LLC 2 (2): 29-, 2004

    9 Carol Carraccio, "Shifting paradigms: from Flexner to competencies" Ovid Technologies (Wolters Kluwer Health) 77 (77): 361-367, 2002

    10 The New Zealand MSOD Steering Group, "National report on doctors one year after graduating from New Zealand medical schools in 2015-2019" The New Zealand MSOD Steering Group 2019

    11 The New Zealand MSOD Steering Group, "National report on doctors one year after graduating from New Zealand medical schools in 2011-2015" The New Zealand MSOD Steering Group 2019

    12 Medical Deans Australia and New Zealand, "National Data Report 2020: 2015-2019 data from final year students at Australian medical schools" Medical Deans Australia and New Zealand 2020

    13 Stephen R. Porter, "Multiple surveys of students and survey fatigue" Wiley 2004 (2004): 63-73, 2004

    14 Mohammadreza Hojat, "Medical students' cognitive appraisal of stressful life events as related to personality, physical well-being, and academic performance: a longitudinal study" Elsevier BV 35 (35): 219-235, 2003

    15 Anna Belfrage, "Medical school predictors of later perceived mastery of clinical work among Norwegian doctors: a cohort study with 10-year and 20-year follow-up" BMJ 7 (7): e014462-, 2017

    16 Liselotte N. Dyrbye, "Medical Education Research and IRB Review: An Analysis and Comparison of the IRB Review Process at Six Institutions" Ovid Technologies (Wolters Kluwer Health) 82 (82): 654-660, 2007

    17 Gonnella JS, "Jefferson longitudinal study of medical education" Jefferson Medical College 2005

    18 I C McManus, "Intercalated degrees, learning styles, and career preferences: prospective longitudinal study of UK medical students" BMJ 319 (319): 542-546, 1999

    19 Kim HK, "Integrated management and utilization of KICE educational data" Korea Institute of Curriculum & Evaluation

    20 정한나 ; 이이레 ; 김혜원 ; 안신기, "I-E-O 모형에 근거한 의학교육 종단자료 구축을 위한 모형 설계" 연세대학교 의과대학 24 (24): 156-171, 2022

    21 Gonnella JS, "Fifty years of findings from the Jefferson Longitudinal Study of Medical Education" Springer 2022

    22 Jeffrey A. Wilhite, "Development and maintenance of a medical education research registry" Springer Science and Business Media LLC 20 (20): 199-, 2020

    23 Rachel H. Ellaway, "Developing the role of big data and analytics in health professional education" Informa UK Limited 36 (36): 216-222, 2014

    24 Rachel H. Ellaway, "Data, Big and Small: Emerging Challenges to Medical Education Scholarship" Ovid Technologies (Wolters Kluwer Health) 94 (94): 31-36, 2019

    25 RashmiA Kusurkar, "Creating a longitudinal database in medical education: Perspectives from the pioneers" The Network: Towards Unity for Health 29 (29): 266-270, 2016

    26 Phillippa Poole, "Comparison of UMAT scores and GPA in prediction of performance in medical school: a national study" Wiley 46 (46): 163-171, 2012

    27 Birnie F, "Cohort of UK medical graduates" UK Medical Careers Research Group, Oxford University 2016

    28 Oxford University Press, "Cohort" Oxford Learner’s Dictionaries

    29 Michael J. Goldacre, "Choice and rejection of psychiatry as a career: surveys of UK medical graduates from 1974 to 2009" Royal College of Psychiatrists 202 (202): 228-234, 2013

    30 Mark E Rosenberg, "Building a Medical Education Outcomes Center: Development Study" JMIR Publications Inc 5 (5): e14651-, 2019

    31 Diggle PJ, "Analysis of longitudinal data" Oxford University Press 2002

    32 Korean Institute of Medical Education and Evaluation, "Accreditation Standards of KIMEE 2019" Korean Institute of Medical Education and Evaluation

    33 Saad Chahine, "A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data" Ovid Technologies (Wolters Kluwer Health) 93 (93): 829-832, 2018

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