| Literature DB >> 15005804 |
Akira Akabayashi1, Brian T Slingsby, Ichiro Kai, Tadashi Nishimura, Akiko Yamagishi.
Abstract
BACKGROUND: Most medical schools in Japan have incorporated mandatory courses on medical ethics. To this date, however, there is no established means of evaluating medical ethics education in Japan. This study looks 1) To develop a brief, objective method of evaluation for moral sensitivity and reasoning; 2) To conduct a test battery for the PIT and the DIT on medical students who are either currently in school or who have recently graduated (residents); 3) To investigate changes in moral sensitivity and reasoning between school years among medical students and residents.Entities:
Keywords: Bioethics and Professional Ethics; Empirical Approach
Mesh:
Year: 2004 PMID: 15005804 PMCID: PMC343288 DOI: 10.1186/1472-6939-5-1
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Figure 1PIT Scores: School years. Total: F (6, 370) = 1.87, p < 0.1; B: F (6, 370) = 2.21, p < 0.05. *p < 0.05 vs. 1st year, 2nd year, 3rd year, 6th year and residents by Tukey's test.
Figure 2DIT Scores: Vignette 1. χ2 = 27.3, p < 0.01
Figure 3DIT Scores: Vignette 2. χ2 = 21.6, p < 0.05
Stages of moral development across school years
| 1st year (n = 50) | 4.02 (0.49) | 4.40 (0.40) | 4.21 (0.36) |
| 2nd year (n = 43) | 4.16 (0.50) | 4.44 (0.39) | 4.30 (0.33) |
| 3rd year (n = 49) | 4.21 (0.41) | 4.39 (0.36) | 4.30 (0.31) |
| 4th year (n = 52) | 4.11 (0.56) | 4.42 (0.30) | 4.27 (0.38) |
| 5th year (n = 47) | 4.11 (0.50) | 4.44 (0.31) | 4.27 (0.33) |
| 6th year (n = 51) | 3.97 (0.53) | 4.43 (0.35) | 4.20 (0.31) |
| residents (n = 66) | 4.23 (0.54) | 4.43 (0.38) | 4.33 (0.39) |
| [NS] | [NS] | [NS] |
Data are shown by mean with standard deviation in parenthesis.
DP values across school years
| 1st year (n = 50) | 3.4 (5.4) | 23.0 (17.9)* | 20.8 (12.6)* | 3.5 (6.0) | 49.3 (18.2) |
| 2nd year (n = 43) | 3.0 (7.3) | 17.4 (13.7) | 15.6 (13.6) | 5.1 (7.1) | 51.2 (16.3) |
| 3rd year (n = 49) | 3.1 (6.0) | 15.6 (13.6) | 26.5 (15.9) | 5.7 (7.9) | 49.1 (16.3) |
| 4th year (n = 52) | 3.8 (6.7) | 20.7 (15.3) | 19.0 (10.4) | 3.4 (6.3) | 53.2 (17.0) |
| 5th year (n = 47) | 4.3 (6.5) | 15.2 (13.5) | 27.1 (12.5) | 4.8 (8.1) | 48.6 (15.2) |
| 6th year (n = 51) | 5.1 (7.0) | 19.0 (13.2) | 24.5 (14.1) | 4.5 (7.1) | 46.9 (16.9) |
| residents (n = 66) | 2.3 (6.5) | 14.8 (13.6) | 27.0 (14.9) | 6.2 (8.8) | 49.7 (19.8) |
| [NS] | [p < 0.05] | [p < 0.01 ] | [NS] | [NS] |
Data are shown by mean percentage with standard deviation in parenthesis. DP3: F(6, 351) = 2.37, p < 0.05, DP4: F(6,351) = 2.98, p < 0.01 by one-way ANOVA. * indicates significant vs. 3rd year, 5th year, and residents by Tukey's test (p < 0.05)
Correlations coefficients between PIT and DIT scores
| Domain A | 0.09 | 0.04 | 0.09 |
| Domain B | -0.06 | -0.01 | -0.06 |
| Domain C | 0.04 | -0.02 | 0.03 |
| Total | 0.04 | 0.00 | 0.03 |
n = 358