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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Bajow, Nidaa Djalali, Ahmadreza Ingrassia, Pier Luigi Ragazzoni, Luca Ageely, Hussein Bani, Ibrahim Corte, Francesco Della |
| Abstract | Background Nowadays, many medical schools include training in disaster medicine in undergraduate studies. This study evaluated the efficacy of a disaster medicine curriculum recently designed for Saudi Arabian medical students. Methods Participants were 15 male and 14 female students in their fourth, fifth or sixth year at Jazan University Medical School, Saudi Arabia. The course was held at the Research Center in Emergency and Disaster Medicine and Computer Sciences Applied to the Medical Practice in Novara, Italy. Results The overall mean score on a test given before the course was 41.0 % and it increased to 67.7 % on the post-test (Wilcoxon test for paired samples: z = 4.71, p < 0.0001). There were no significant differences between the mean scores of males and females, or between students in their fourth, fifth or sixth year of medical school. Conclusions These results show that this curriculum is effective for teaching disaster medicine to undergraduate medical students. Adoption of this course would help to increase the human resources available for dealing with disaster situations. |
| Related Links | https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-016-0746-6.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726920 |
| DOI | 10.1186/s12909-016-0746-6 |
| Journal | BMC Medical Education |
| Issue Number | 1 |
| Volume Number | 16 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2016-08-26 |
| Access Restriction | Open |
| Subject Keyword | Medical Education Theory of Medicine Bioethics Curriculum Disaster medicine Saudi Arabia Theory of Medicine/Bioethics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Education Medicine |
| Journal Impact Factor | 2.7/2023 |
| 5-Year Journal Impact Factor | 3.4/2023 |
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