| Literature DB >> 32552801 |
Dina El Achi1, Lara Al Hakim2, Maha Makki2, Mona Mokaddem3, Pamela Abi Khalil2, Bilal R Kaafarani4, Hani Tamim5,6.
Abstract
BACKGROUND: Early exposure to medical research, specifically at the undergraduate level, contributes in building a solid medical education for students. In 2014, the Medical Research Volunteer Program (MRVP) was established at the American University of Beirut (AUB). This program provides undergraduate students with the opportunity to be involved in ongoing medical research projects, on a voluntary basis. Little is known about undergraduates' outlook on medical research and the challenges they face. The aim of this study was to assess, among AUB undergraduate students, the perception, attitude, practice and barriers towards medical research, as well as to identify factors affecting them, such as background characteristics and research involvement.Entities:
Keywords: Attitude; Barriers; Medical Research Volunteer Program (MRVP); Medical research; Perception; Undergraduate medical research; Undergraduate students
Year: 2020 PMID: 32552801 PMCID: PMC7298799 DOI: 10.1186/s12909-020-02104-6
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Demographic characteristics and research involvement
| Characteristics | Number (percent) | |
|---|---|---|
| 18–21 | 491 (93.9) | |
| 22–25 | 28 (5.4) | |
| 25+ | 4 (0.8) | |
| Male | 167 (32.0) | |
| Female | 355 (68.0) | |
| Sophomore | 174 (33.3) | |
| Junior | 146 (27.9) | |
| Senior | 203 (38.8) | |
| 30 ± 4.42 | ||
| Agriculture/Nutrition | 118 (22.7) | |
| Math/physics | 19 (3.7) | |
| Biology | 161 (31.0) | |
| Chemistry | 65 (12.5) | |
| Environmental heath/Nursing | 133 (25.6) | |
| Othera | 23 (4.4) | |
| 267 (51.1) | ||
| < 70% | 14 (2.7) | |
| 70–78% | 176 (34.2) | |
| 79–85% | 146 (28.3) | |
| 86–90% | 121 (23.5) | |
| > 90% | 58 (11.3) | |
| 228 (43.6) | ||
| 5.56 ± 4.68 | ||
| 42 (8.1) | ||
| 5.98 ± 4.90 | ||
| 19 (46.3) | ||
| 19 (47.5) | ||
aThe “Other” section includes the following majors: psychology, political sciences, education, mechanical engineering, electrical and computer engineering, computer and communications engineering and chemical engineering
Positive perception responses among students, as well as overall perception score and those stratified by different students’ characteristics
| Perception | Positive responses | ||
|---|---|---|---|
| Enhances critical thinking | 516 (99.4%) | ||
| Enhances knowledge | 515 (99.4%) | ||
| Enhancing career prospect | 513 (98.8%) | ||
| Overall score, mean ± SD | 4.35 ± 0.57 | ||
| Male | 4.29 ± 0.67 | 0.13 | |
| Female | 4.38 ± 0.51 | ||
| 18–21 | 4.35 ± 0.57 | 0.54 | |
| 22–25 | 4.46 ± 0.53 | ||
| 25+ | 4.25 ± 0.50 | ||
| Sophomore | 4.43 ± 0.53 | 0.08 | |
| Junior | 4.29 ± 0.56 | ||
| Senior | 4.34 ± 0.60 | ||
| < 70% | 4.15 ± 0.59 | 0.38 | |
| 70–78% | 4.33 ± 0.58 | ||
| 79–85% | 4.33 ± 0.49 | ||
| 86–90% | 4.39 ± 0.55 | ||
| > 90% | 4.45 ± 0.76 | ||
| Agriculture/Nutrition | 4.40 ± 0.54 | 0.15 | |
| Math/physics | 4.30 ± 0.56 | ||
| Biology | 4.38 ± 0.57 | ||
| Chemistry | 4.19 ± 0.74 | ||
| Environmental heath/Nursing | 4.34 ± 0.52 | ||
| Othera | 4.50 ± 0.45 | ||
| Yes | 4.40 ± 0.59 | 0.06 | |
| No | 4.31 ± 0.55 | ||
| Yes | 4.49 ± 0.58 | 0.22 | |
| No | 4.38 ± 0.54 | ||
| Yes | 4.42 ± 0.49 | 0.43 | |
| No | 4.35 ± 0.57 | ||
aThe “Other” section includes the following majors: psychology, political sciences, education, mechanical engineering, electrical and computer engineering, computer and communications engineering and chemical engineering
Positive attitude responses among students, as well as overall attitude score and those stratified by different students’ characteristics
| Attitude | Positive responses | ||
|---|---|---|---|
| Valuable | 512 (98.8%) | ||
| Exciting | 509 (97.7%) | ||
| Enjoyable | 501 (96.2%) | ||
| Complicated | 472 (91.3%) | ||
| Time consuming | 395 (76.1%) | ||
| Overall score, mean ± SD | 3.58 ± 0.48 | ||
| Male | 3.56 ± 0.50 | 0.46 | |
| Female | 3.60 ± 0.46 | ||
| 18–21 | 3.59 ± 0.48 | 0.85 | |
| 22–25 | 3.57 ± 0.53 | ||
| 25+ | 3.45 ± 0.25 | ||
| Sophomore | 3.71 ± 0.47 | < 0.0001 | |
| Junior | 3.54 ± 0.46 | ||
| Senior | 3.51 ± 0.48 | ||
| < 70% | 3.49 ± 0.61 | 0.72 | |
| 70–78% | 3.58 ± 0.49 | ||
| 79–85% | 3.56 ± 0.42 | ||
| 86–90% | 3.59 ± 0.50 | ||
| > 90% | 3.65 ± 0.48 | ||
| Agriculture/Nutrition | 3.53 ± 0.47 | 0.13 | |
| Math/physics | 3.78 ± 0.54 | ||
| Biology | 3.65 ± 0.43 | ||
| Chemistry | 3.58 ± 0.62 | ||
| Environmental heath/Nursing | 3.53 ± 0.47 | ||
| Othera | 3.61 ± 0.34 | ||
| Yes | 3.67 ± 0.45 | < 0.0001 | |
| No | 3.50 ± 0.49 | ||
| Yes | 3.68 ± 0.46 | 0.34 | |
| No | 3.62 ± 0.40 | ||
| Yes | 3.64 ± 0.52 | 0.39 | |
| No | 3.58 ± 0.47 | ||
aThe “Other” section includes the following majors: psychology, political sciences, education, mechanical engineering, electrical and computer engineering, computer and communications engineering and chemical engineering
Positive practice responses among students, as well as overall practice score and those stratified by different students’ characteristics
| Practice | Positive responses | ||
|---|---|---|---|
| Willing to take part in any research related task | 477 (92.1%) | ||
| Willing to spend > 2 months | 458 (88.4%) | ||
| Willing to take part in a medical research project even if it does not lead to a publication | 450 (87.0%) | ||
| Willing to devote the same time to medical research as their university studies | 354 (68.3%) | ||
| Overall score, mean ± SD | 3.57 ± 0.78 | ||
| Male | 3.56 ± 0.83 | 0.67 | |
| Female | 3.60 ± 0.76 | ||
| 18–21 | 3.58 ± 0.75 | 0.79 | |
| 22–25 | 3.60 ± 1.20 | ||
| 25+ | 3.31 ± 0.63 | ||
| Sophomore | 3.67 ± 0.74 | 0.15 | |
| Junior | 3.54 ± 0.72 | ||
| Senior | 3.52 ± 0.85 | ||
| < 70% | 3.48 ± 0.97 | 0.48 | |
| 70–78% | 3.56 ± 0.81 | ||
| 79–85% | 3.50 ± 0.78 | ||
| 86–90% | 3.68 ± 0.76 | ||
| > 90% | 3.61 ± 0.73 | ||
| Agriculture/Nutrition | 3.50 ± 0.79 | 0.21 | |
| Math/physics | 3.54 ± 0.91 | ||
| Biology | 3.71 ± 0.72 | ||
| Chemistry | 3.52 ± 0.87 | ||
| Environmental heath/Nursing | 3.52 ± 0.78 | ||
| Othera | 3.70 ± 0.83 | ||
| Yes | 3.71 ± 0.70 | < 0.0001 | |
| No | 3.44 ± 0.84 | ||
| Yes | 3.96 ± 0.64 | 0.01 | |
| No | 3.67 ± 0.78 | ||
| Yes | 3.90 ± 0.66 | 0.04 | |
| No | 3.55 ± 0.79 | ||
aThe “Other” section includes the following majors: psychology, political sciences, education, mechanical engineering, electrical and computer engineering, computer and communications engineering and chemical engineering
Positive barriers responses among students, as well as overall barriers score and those stratified by different students’ characteristics
| Barriers | Positive responses | ||
|---|---|---|---|
| Lack of allotted time | 403 (80.3%) | ||
| Lack of exposure and opportunities | 401 (79.9%) | ||
| Lack of training and support | 393 (78.3%) | ||
| Lack of mentoring and guidance | 384 (76.6%) | ||
| Overall score, mean ± SD | 2.60 ± 0.76 | ||
| Male | 2.75 ± 0.79 | 0.002 | |
| Female | 2.53 ± 0.74 | ||
| 18–21 | 2.58 ± 0.75 | 0.2 | |
| 22–25 | 2.78 ± 0.86 | ||
| 25+ | 3.06 ± 0.88 | ||
| Sophomore | 2.60 ± 0.73 | 0.16 | |
| Junior | 2.50 ± 0.73 | ||
| Senior | 2.67 ± 0.80 | ||
| < 70% | 2.65 ± 0.97 | 0.87 | |
| 70–78% | 2.58 ± 0.75 | ||
| 79–85% | 2.57 ± 0.78 | ||
| 86–90% | 2.58 ± 0.74 | ||
| > 90% | 2.70 ± 0.79 | ||
| Agriculture/Nutrition | 2.49 ± 0.75 | 0.03 | |
| Math/physics | 2.42 ± 0.84 | ||
| Biology | 2.72 ± 0.75 | ||
| Chemistry | 2.65 ± 0.91 | ||
| Environmental heath/Nursing | 2.50 ± 0.68 | ||
| Othera | 2.87 ± 0.72 | ||
| Yes | 2.67 ± 0.74 | 0.04 | |
| No | 2.52 ± 0.78 | ||
| Yes | 3.27 ± 0.83 | < 0.0001 | |
| No | 2.58 ± 0.72 | ||
| Yes | 3.09 ± 0.89 | < 0.0001 | |
| No | 2.55 ± 0.73 | ||
aThe “Other” section includes the following majors: psychology, political sciences, education, mechanical engineering, electrical and computer engineering, computer and communications engineering and chemical engineering