| Literature DB >> 27589999 |
Xiao-Feng Xu1, Yan Wang1, Yan-Yan Wang1, Ming Song2, Wen-Gang Xiao3, Yun Bai4.
Abstract
BACKGROUND: Genetic diseases represent a significant public health challenge in China that will need to be addressed by a correspondingly large number of professional genetic counselors. However, neither an official training program for genetic counseling, nor formal board certification, was available in China before 2015. In 2009, a genetic counseling training program based on role-playing was implemented as a pilot study at the Third Military Medical University to train third-year medical students.Entities:
Keywords: Educational and training program; Genetic counseling; Medical curricula; Role-playing
Mesh:
Year: 2016 PMID: 27589999 PMCID: PMC5010759 DOI: 10.1186/s12909-016-0756-4
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Core Curriculum for Medical Undergraduates at TMMU
| Stages | Total study time | Main subjects | Aims |
|---|---|---|---|
| Natural and social sciences | 1 year | Medical History, Medical Mathematics, Medical Physics, Medical Chemistry, English, Computer, Medical Statistics, Literature Index | To know natural and social sciences and to have basic knowledge of humanities |
| Basic medical sciences | 1.5 years | Human Anatomy, Histology and Embryology, Physiology, Biochemistry, Molecular Biology, Medical Microbiology, Medical Immunology, Human Parasitology, Pathophysiology, Pathology, Pharmacology, | To master the basic medical foundations of theory and to develop a basic ability to think analytically to solve clinical problems |
| Clinical medical sciences | 1.5 years | Image Medicine, Diagnosis, Internal Medicine, Surgery, Gynecology and Obstetrics, Pediatrics, Neurology, Psychiatry, Dermatology, Ophthalmology, Otorhinolaryngology, Medical Psychology | To master the basic clinical foundations of theory and to develop a strong ability to think analytically to solve clinical problems |
| Clinical probation and practice | 1 year | Clinical probation, Clinical general practice | To have the ability to collect medical history, communicate effectively with patients, and the skills to diagnose and treat common diseases |
Bold: to emphasize Medical Genetics
Fig. 1Backgrounds and supplementary preparation for tutors in the genetic counseling training program at TMMU. Clinical doctors (red), young lecturers (green) and experienced teachers (orange) were encouraged to participate in the genetic counseling training program at TMMU as tutors. To be well prepared, all were required to complete additional training. Young lecturers were exposed to clinical work to accumulate relevant experience. Both young lecturers and clinical doctors were required to study the knowledge and skills of pedagogy for 3–4 weeks at normal schools. All tutors, including the experienced teachers, participated in at least one trial teaching session to familiarize them with role-playing in the genetic counseling training program
Fig. 2Overview of the genetic counseling training program at TMMU. Third-year medical undergraduates participated in a student-centered genetic counseling training program at TMMU. Before participating face-to-face in role-playing, they had already studied the fundamentals of medical genetics. One of three case scenarios for role-playing was randomly assigned to a learning group which had been organized by two or more undergraduates. The learning groups prepared the cases over two or more weeks. If necessary, the learning groups would discuss cases with their tutors and would review the relevant theoretical background in medical genetics. Role-playing counselors and counselees in the classrooms discussed the genetic problems and solutions. Classmates participated in the discussion and question period. Tutors offered comments only at the close of the session. The teaching process was accomplished by students (yellow) or/and tutors (green)
Fig. 3Face-to-face role-playing in the genetic counseling training program at TMMU. The program was student-centered. All learning groups had over 80 % of class hours to play their roles and discuss the cases in the role-playing section. During role-playing, counselors and counselees were permitted to use self-prepared props or body language to enhance role authenticity. The undergraduates shown in the figure were playing the roles of counselors and counselees in case scenarios involving hemophilia A (a) and β-thalassemia (b)
Post-Training Questionnaire to assess Undergraduate Attitudes to the Genetic Counseling Training Program at TMMU, % Who Answered Yes (N = 324)
| I …… | % yes |
|---|---|
| was willing to participate in this program more than in the traditional lectures | 98.5 |
| was glad to accept the instructional strategy of role-playing | 98.5 |
| felt that it was a pleasant experience to play the roles | 97.2 |
| agreed that role-playing was a good teaching method to help me understand what genetic counseling is and which processes and factors are involved | 80.9 |
| believed that role-playing could help me to master the knowledge of medical genetics by self-study | 75.9 |
| believed that role-playing could improve my communication skills with counselees or patients | 79.0 |
| believed that this program could help me in my future professional career | 70.4 |
Impact of role-playing on mastery of key concepts in genetic counseling (N = 200)
| No. | Key concepts of genetic counseling | Average rank in | Change | (95 % CI) | Paired | |
|---|---|---|---|---|---|---|
| Pre-test | Post-test | |||||
| 1 | Congenital disease | 2.05 ± 0.605 | 2.90 ± 0.308 | -0.85 | (-1.12 -0.58) | <0.0001 |
| 2 | Familial disease | 2.10 ± 0.6411 | 2.95 ± 0.224 | -0.85 | (-1.12 -0.58) | < 0.0001 |
| 3 | Genetic disease | 2.15 ± 0.587 | 3.00 ± 0.000 | -0.85 | (-1.12 -0.58) | < 0.0001 |
| 4 | Genetic maker | 0.30 ± 0.470 | 2.85 ± 0.366 | -2.55 | (-2.83 -2.27) | < 0.0001 |
| 5 | Epigenetic | 0.70 ± 0.979 | 2.85 ± 0.366 | -2.15 | (-2.68 -1.62) | < 0.0001 |
| 6 | Mitosis | 2.85 ± 0.366 | 3.00 ± 0.000 | -0.15 | (-0.32 0.02) | 0.0828 (NS) |
| 7 | Meiosis | 2.85 ± 0.366 | 3.00 ± 0.000 | -0.15 | (-0.32 0.02) | 0.0828 (NS) |
| 8 | Dynamic mutation | 0.50 ± 0.827 | 2.75 ± 0.444 | -2.25 | (-2.62 -1.88) | < 0.0001 |
| 9 | Euchromatin | 2.25 ± 0.910 | 2.95 ± 0.224 | -0.70 | (-1.13 -0.27) | 0.0031 |
| 10 | Heterochromatin | 1.85 ± 0.933 | 2.85 ± 0.366 | -1.00 | (-1.48 -0.52) | 0.0003 |
| 11 | Sex chromatin | 2.35 ± 0.875 | 2.95 ± 0.224 | -0.60 | (-0.95 -0.25) | 0.0021 |
| 12 | Karyotype | 0.40 ± 0.503 | 2.85 ± 0.366 | -2.45 | (-2.73 -2.17) | < 0.0001 |
| 13 | Pedigree | 0.50 ± 0.688 | 2.95 ± 0.224 | -2.45 | (-2.77 -2.13) | < 0.0001 |
| 14 | Trisomy 21 syndrome | 2.10 ± 0.718 | 3.00 ± 0.000 | -0.90 | (-1.24 -0.56) | < 0.0001 |
| 15 | Trisomy 18 syndrome | 0.30 ± 0.571 | 2.65 ± 0.489 | -2.35 | (-2.73 -1.97) | < 0.0001 |
| 16 | Trisomy 13 syndrome | 0.25 ± 0.444 | 2.60 ± 0.503 | -2.35 | (-2.66 -2.04) | < 0.0001 |
| 17 | Turner syndrome | 0.80 ± 0.894 | 2.95 ± 0.224 | -2.15 | (-2.56 -1.74) | < 0.0001 |
| 18 | Klinefelter syndrome | 0.05 ± 0.224 | 2.75 ± 0.444 | -2.70 | (-2.97 -2.43) | < 0.0001 |
| 19 | Huntington chorea | 1.65 ± 0.875 | 2.60 ± 0.754 | -0.95 | (-1.53 -0.37) | 0.0027 |
| 20 | Albinism type I | 2.00 ± 0.562 | 2.75 ± 0.444 | -0.75 | (-1.05 -0.45) | < 0.0001 |
| 21 | Vitamin D resistant rickets | 1.95 ± 0.605 | 2.55 ± 0.510 | -0.60 | (-0.98 -0.22) | 0.0040 |
| 22 | Duchenne muscular dystrophy | 0.80 ± 0.696 | 2.20 ± 0.696 | -1.40 | (-1.75 -1.05) | < 0.0001 |
| 23 | Heterogeneity | 0.25 ± 0.444 | 2.90 ± 0.308 | -2.65 | (-2.88 -2.42) | < 0.0001 |
| 24 | Genetic anticipation | 0.15 ± 0.366 | 2.90 ± 0.308 | -2.75 | (-2.96 -2.54) | < 0.0001 |
| 25 | Genetic imprinting | 0.15 ± 0.366 | 2.85 ± 0.366 | -2.70 | (-2.97 -2.43) | < 0.0001 |
| 26 | Delayed dominance | 0.05 ± 0.224 | 3.00 ± 0.000 | -2.95 | (-3.05 -2.85) | < 0.0001 |
| 27 | Irregular dominance | 0.05 ± 0.224 | 2.90 ± 0.308 | -2.85 | (-3.02 -2.68) | < 0.0001 |
| 28 | Incomplete dominance | 0.75 ± 0.639 | 2.95 ± 0.224 | -2.20 | (-2.53 -1.87) | < 0.0001 |
| 29 | Gene pleiotropy | 0.50 ± 0.688 | 2.80 ± 0.523 | -2.30 | (-2.64 -1.96) | < 0.0001 |
| 30 | Quantitative trait | 0.05 ± 0.224 | 3.00 ± 0.000 | -2.95 | (-3.05 -2.85) | < 0.0001 |
| 31 | Qualitative trait | 0.05 ± 0.224 | 3.00 ± 0.000 | -2.95 | (-3.05 -2.85) | < 0.0001 |
| 32 | Genetic susceptibility | 0.20 ± 0.410 | 3.00 ± 0.000 | -2.80 | (-2.99 -2.61) | < 0.0001 |
| 33 | Genetic liability | 0.05 ± 0.224 | 3.00 ± 0.000 | -2.95 | (-3.05 -2.85) | < 0.0001 |
| 34 | Coefficient of relationship | 0.35 ± 0.489 | 3.00 ± 0.000 | -2.65 | (-2.88 -2.42) | < 0.0001 |
| 35 | Inbreeding coefficient | 0.35 ± 0.489 | 2.95 ± 0.224 | -2.60 | (-2.84 -2.36) | < 0.0001 |
| 36 | Law of genetic equilibrium | 0.40 ± 0.598 | 3.00 ± 0.000 | -2.60 | (-2.88 -2.32) | < 0.0001 |
| 37 | Mitochondrial disease | 1.25 ± 0.851 | 2.60 ± 0.503 | -1.35 | (-1.73 -0.97) | < 0.0001 |
| 38 | Genetic hypothesis of tumorigenesis | 0.60 ± 0.598 | 2.85 ± 0.366 | -2.25 | (-2.55 -1.95) | < 0.0001 |
| 39 | Gene therapy | 1.15 ± 0.489 | 2.80 ± 0.410 | -1.65 | (-2.00 -1.30) | < 0.0001 |
| 40 | Genetic diagnosis | 1.25 ± 0.550 | 2.85 ± 0.366 | -1.60 | (-1.88 -1.32) | < 0.0001 |
| 41 | Genetic counseling | 1.00 ± 0.725 | 2.80 ± 0.410 | -1.80 | (-2.19 -1.41) | < 0.0001 |
| 42 | Genetic screening | 0.80 ± 0.768 | 2.55 ± 0.510 | -1.75 | (-2.20 -1.30) | < 0.0001 |
NS Not Significant (P > 0.05)
Comparison of student scores in final examinations for Medical Genetics from 2006 to 2011
| Grades | Mean ± SD | Multiple Comparison Test Significant? /Change | Combining participants and non-participants | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 2009 | 2008 | 2007 | 2006 | Mean ± SD | Change | (95 % CI) |
| ||
| 2011 | 82.2 ± 9.69 | Yes/-3.58 | Yes/4.97 | Yes/5.93 | Yes/7.32 | No/2.15 | 81.6 ± 8.44 | 4.6 | (3.62 5.50) | < 0.0001 |
| 2010 | 85.8 ± 6.89 | – | Yes/8.55 | Yes/9.51 | Yes/10.9 | Yes/5.73 | ||||
| 2009 | 77.3 ± 6.36 | – | No/0.960 | Yes/2.35 | Yes/-2.82 | |||||
| 2008 | 76.3 ± 7.94 | – | No/1.39 | Yes/-3.78 | 77.0 ± 8.03 | |||||
| 2007 | 74.9 ± 8.46 | – | Yes/-5.17 | |||||||
| 2006 | 80.1 ± 6.76 | – | ||||||||
Fig. 4Analysis of student scores in final examinations for Medical Genetics from 2006 to 2011. Scores obtained in final examinations of 578 program participants (years 2009 to 2011), and those of 614 non-participating students (i.e., prior to the launch of the program, years 2006 to 2008), are compared. The percentages of student scores in three ranges (based on a one hundred-mark system) are shown as ≥90 (blue), 60 to 90 (yellow), and <60 (red)