| Literature DB >> 35035795 |
Mahboobeh Khabaz Mafinejad1, Mohammad Taherahmadi2, Fariba Asghari3, Kobra Mehran Nia4, Saeeid Reza Mehrpour5, Gholamreza Hassanzadeh6, Parisa Farahani2, Reza Hosseini Dolama2.
Abstract
This study was designed to facilitate freshman medical students' adaptation to the dissection room and familiarize them with the related ethical codes. Single-group post-test design research was conducted at Tehran University of Medical Sciences in 2018 - 2019. The program began with a brief explanation of the necessity of the subject, and after a documentary film was shown, the principles of professional and ethical behaviors in the dissection room were discussed by a panel of experts. In the end, a valid and reliable evaluation questionnaire (Cronbach's alpha coefficient = 0.89) was distributed among the students. A total of 129 questionnaires were completed and returned. Overall, 94.4% of the students believed that the program provided an excellent opportunity to reflect on professional behaviors during practical anatomy sessions. In addition, 92.8% of the students believed that they would use the ethical points mentioned in the program in the future. Content analysis of the open questions produced three main categories: "motivating learning", "application of theory in practice" and "changing the attitude toward responsibility". The results indicate that adequate preparation for cadaver dissection sessions and learning about professional behavior codes in the first exposure can help medical students to better understand the principles of professional behaviors.Entities:
Keywords: Anatomy; Cadaver; Dissection.; Ethical codes; Professionalism
Year: 2021 PMID: 35035795 PMCID: PMC8696593 DOI: 10.18502/jmehm.v14i7.6751
Source DB: PubMed Journal: J Med Ethics Hist Med ISSN: 2008-0387


Students’ opinions about the effects of the educational program by gender
| Items | Gender | Totally | Agree | Neither | Disagree | Totally | Sig |
|
| Female | 48 (77.4%) | 13 (21%) | 1 (1.6%) | 0 (0%) | 0 (0%) | 0.20 |
| Male | 31 (48.4%) | 20 (31.3%) | 6 (9.4%) | 5 (7.8%) | 2 (3.1%) | ||
|
| Female | 42 (67.7%) | 18 (29.0%) | 2 (3.2%) | 0 (0.0%) | 0 (0.0%) | 0.03* |
| Male | 32 (50.0%) | 27 (42.2%) | 3 (4.7%) | 2 (3.1%) | 0 (0.0%) | ||
|
| Female | 40 (64.5%) | 18 (29.0%) | 2 (3.2%) | 2 (3.2%) | 0 (0.0%) | ** |
| Male | 27 (42.2%) | 27 (42.2%) | 8 (12.5%) | 1 (1.6%) | 1 (1.6%) | ||
|
| Female | 45 (72.6%) | 14 (22.6%) | 3 (4.8%) | 0 (0.0%) | 0 (0.0%) | 0.11 |
| Male | 39 (61.9%) | 14 (22.2%) | 7 (11.1%) | 3 (4.8%) | 0 (0.0%) | ||
|
| Female | 49 (80.3%) | 12 (19.7%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | ** |
| Male | 38 (61.3%) | 19 (30.6%) | 5 (8.1%) | 0 (0.0%) | 0 (0.0%) | ||
|
| Female | 50 (80.6%) | 11 (17.7%) | 1 (1.6%) | 0 (0.0%) | 0 (0.0%) | ** |
| Male | 36 (56.3%) | 20 (31.3%) | 7 (10.9%) | 0 (0.0%) | 1 (1.6%) | ||
|
| Female | 36 (59.0%) | 23 (37.7%) | 2 (3.3%) | 0 (0.0%) | 0 (0.0%) | 0.02* |
| Male | 26 (44.8%) | 18 (31.0%) | 12(20.7%) | 2 (3.4%) | 0 (0.0%) | ||
|
| Female | 40 (65.6%) | 15 (24.6%) | 6 (9.8%) | 0 (0.0%) | 0 (0.0%) | ** |
| Male | 26 (41.3%) | 21 (33.3%) | 10(15.9%) | 6 (9.5%) | 0 (0.0%) | ||
|
| Female | 44 (71.0%) | 16 (25.8%) | 2 (3.2%) | 0 (0.0%) | 0 (0.0%) | ** |
| Male | 32 (50.8%) | 23 (36.5%) | 6 (9.5%) | 2 (3.2%) | 0 (0.0%) | ||
|
| Female | 45 (72.6%) | 12 (19.4%) | 5 (8.1%) | 0 (0.0%) | 0 (0.0%) | 0.03* |
| Male | 33 (52.4%) | 26 (41.3%) | 3 (4.8%) | 1 (1.6%) | 0 (0.0%) | ||
|
| Female | 46 (75.4%) | 8 (13.1%) | 6 (9.8%) | 1 (1.6%) | 0 (0.0%) | ** |
| Male | 34 (54.0%) | 15 (23.8%) | 9 (14.3%) | 3 (4.8%) | 2 (3.2%) | ||
|
| Female | 46 (74.2%) | 15 (24.2%) | 0 (0.0%) | 0 (0.0%) | 1 (1.6%) | ** |
| Male | 30 (47.6%) | 25 (39.7%) | 5 (7.9%) | 3 (4.8%) | 0 (0.0%) |