| Literature DB >> 35206950 |
Gustavo Correia1, Margarida Pereira1,2, Andreia Gomes1, Maria do Rosário Bragança3,4, Silke Weber5, Maria Amélia Ferreira1, Laura Ribeiro1,6.
Abstract
Developing the skills and interest in scientific research of medical students is crucial to ensuring effective healthcare systems. As such, in this study, we aimed to assess Portuguese-speaking medical students' attitudes and perceptions toward scientific research and clinical practice, and how they are influenced by individual characteristics and regional indicators. A total of 455 first-year students from three medical schools in three countries (Portugal, Brazil, and Angola) participated in this study by completing a questionnaire. Portuguese students attributed the most importance to scientific skills and were the most confident in their ability to perform these skills. Angolan students were the most motivated to perform research and integrate it into the curriculum, despite having the most negative attitudes and perceiving themselves as having less ability to perform scientific skills. Brazilian students had the least positive attitudes toward science. In Portugal, attitudes depended on gross domestic product (GDP), while in Angola, they were influenced by the type of secondary school attendance. Portuguese students' perceptions of scientific skills were related to sex, GDP, type of secondary school, and participation in research. In Brazilian and Angolan students, perceptions were associated with age and research participation, respectively. The findings support the need to promote skills and positive attitudes toward scientific research in future physicians, fostering physician-scientists and improving patient care.Entities:
Keywords: cross-cultural study; evidence-based medicine; medical students; physician-scientists; undergraduate research
Year: 2022 PMID: 35206950 PMCID: PMC8871854 DOI: 10.3390/healthcare10020336
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Summary of regional indicators.
| Country | Region | GDP per Capita (Euros) | Population Density | Literacy Rate of | Basic Sanitation Access Rate (%) |
|---|---|---|---|---|---|
| Portugal | North w/out GP | 13,548.000 *** | 173.339 **** | 89.70 **** | 100.00 * |
| Great Porto | 16,400.000 **** | 1580.302 **** | 90.00 **** | 100.00 * | |
| Centre | 14,165.000 **** | 82.546 **** | 87.00 **** | 100.00 * | |
| Madeira RA | 16,412.000 **** | 334.272 **** | 87.00 **** | 100.00 * | |
| Azores RA | 15,226.000 **** | 106.276 **** | 89.50 **** | 100.00 * | |
| Brazil | São Paulo | 33,624.410 ***** | 168.805 *** | 85.12 *** | 100.00 ** |
| Minas Gerais | 20,324.580 ***** | 33.853 *** | 83.44 *** | 92.00 ** | |
| Goiás | 20,134.260 ***** | 18.097 *** | 82.87 *** | 28.00 ** | |
| Angola | Luanda | 12,037.239 * | 2898.956 ****** | 86.70 ****** | 89.80 **** |
| Huila | 306.855 * | 31.391 ****** | 67.90 ****** | 46.00 **** | |
| Benguela | 6017.317 * | 64.070 ****** | 56.10 ****** | 34.80 **** |
* data from 2007; ** data from 2008; *** data from 2010; **** data from 2011; ***** data from 2012; ****** data from 2014.
Comparison of general information between Portugal, Brazil, and Angola.
| Country | |||||
|---|---|---|---|---|---|
| Portugal | Brazil | Angola | |||
| Age, M (SD) | 19.07 (4.826) | 19.96 (2.121) | 22.48 (6.459) a | <0.001 | |
| Sex, | Male | 82 (35.0) | 41 (54.7) | 28 (44.4) | 0.008 |
| Female | 152 (65.0) | 34 (45.3) | 35 (55.6) | ||
| School, | Private | 67 (29.1) | 71 (94.7) | 9 (15.0) | <0.001 |
| Public | 163 (70.9) | 4 (5.3) | 51 (85.0) | ||
| Research | Yes | 66 (28.2) | 0 | 7 (13.7) | <0.001 |
| No | 168 (71.8) | 75 (100) | 44 (86.3) | ||
Post hoc analysis: (a) Angola is different from Portugal (p = 0.001) and Brazil (p = 0.013). M—mean; SD—standard deviation.
Comparison of attitudes, motivation, skills, and ability between Portugal, Brazil, and Angola.
| Country | |||||
|---|---|---|---|---|---|
| Domain | Portugal | Brazil | Angola | ||
| Positive | 3.374 (0.311) | 3.005 (0.305) a | 3.314 (0.336) | <0.001 | |
| Negative | 1.985 (0.312) | 1.943 (0.281) | 2.362 (0.447) b | <0.001 | |
| Integration | 3.140 (0.331) | 3.030 (0.374) | 3.319 (0.337) c | <0.001 | |
| 2.774 (0.597) | 2.800 (0.689) | 3.152 (0.499) d | <0.001 | ||
| Communication | 3.484 (0.410) e | 3.035 (0.579) | 3.219 (0.571) | <0.001 | |
| Research | 3.314 (0.416) f | 3.125 (0.538) | 2.979 (0.570) | <0.001 | |
| Organization | 3.529 (0.422) g | 3.360 (0.500) | 3.236 (0.585) | 0.001 | |
| 3.439 (0.348) h | 3.186 (0.444) | 3.138 (0.513) | <0.001 | ||
Post hoc analysis: (a) Brazil is different from Portugal (p < 0.001) and Angola (p < 0.001); (b) Angola is different from Portugal (p < 0.001) and Brazil (p < 0.001); (c) Angola is different from Portugal (p < 0.001) and Brazil (p < 0.001); (d) Angola is different from Portugal (p < 0.001) and Brazil (p = 0.001); (e) Portugal is different from Brazil (p < 0.001) and Angola (p = 0.002); (f) Portugal is different from Brazil (p = 0.016) and Angola (p < 0.001); (g) Portugal is different from Angola (p = 0.002); (h) Portugal is different from Brazil (p < 0.001) and Angola (p = 0.001). M—mean; SD—standard deviation.
Multiple linear regression model of the association between negative attitude, clinical practice skills, and ability and age, sex, school, research project, GDP per capita, population density rate, literacy rate, and basic sanitation access rate by country.
| Domain | Country | Model | Sum of Squares | dF | F | ||
|---|---|---|---|---|---|---|---|
| Negative Attitude | Portugal | a | Regression | 0.530 | 1 | 5.537 | 0.020 |
| Residual | 19.702 | 206 | |||||
| Total | 20.231 | 207 | |||||
| Angola | b | Regression | 1.412 | 1 | 8.297 | 0.006 | |
| Residual | 6.466 | 38 | |||||
| Total | 7.878 | 39 | |||||
| Clinical | Portugal | c | Regression | 0.691 | 1 | 8.672 | 0.004 |
| Residual | 16.809 | 211 | |||||
| Total | 17.500 | 212 | |||||
| d | Regression | 1.094 | 1 | 7.003 | 0.001 | ||
| Residual | 16.406 | 210 | |||||
| Total | 17.500 | 212 | |||||
| Angola | e | Regression | 0.344 | 1 | 6.145 | 0.018 | |
| Residual | 2.129 | 38 | |||||
| Total | 2.473 | 39 | |||||
| Brazil | f | Regression | 0.374 | 1 | 4.737 | 0.033 | |
| Residual | 4.968 | 63 | |||||
| Total | 5.342 | 64 | |||||
| Ability | Portugal | g | Regression | 0.630 | 1 | 5.036 | 0.026 |
| Residual | 26.657 | 213 | |||||
| Total | 27.287 | 214 | |||||
| h | Regression | 1.167 | 2 | 4.734 | 0.010 | ||
| Residual | 26.121 | 212 | |||||
| Total | 27.287 | 214 |
Predictors: (a) (constant), GDP per capita; (b) (constant), school; (c) (constant), sex; (d) (constant), sex and GDP per capita; (e) (constant), research project; (f) (constant), age; (g) (constant), school; (h) (constant), school and research project.
Selected multiple linear regression model of association between negative attitude, clinical practice skills, and ability, and age, sex, school, research project, GDP per capita, population density rate, literacy rate, and basic sanitation access rate for each country.
| Domain | Country | Model | b | β | R2 | Adjusted R2 | sr2 | |
|---|---|---|---|---|---|---|---|---|
| Negative Attitude | Portugal | Constant | 1.402 | 0.026 | 0.021 | <0.001 | ||
| GDP per capita | 0.000039 | 0.162 | 0.026 | 0.020 | ||||
| Angola | Constant | 2.238 | 0.179 | 0.158 | <0.001 | |||
| School | 0.526 | 0.423 | 0.179 | 0.006 | ||||
| Clinical Practice Skills | Portugal | Constant | 4.089 | 0.063 | 0.054 | <0.001 | ||
| Sex | −0.114 | −0.189 | 0.038 | 0.005 | ||||
| GDP per capita | −0.000034 | −0.152 | 0.025 | 0.024 | ||||
| Angola | Constant | 3.642 | 0.139 | 0.117 | <0.001 | |||
| Research Project | 0.260 | 0.373 | 0.139 | 0.018 | ||||
| Brazil | Constant | 2.738 | 0.070 | 0.055 | <0.001 | |||
| Age | 0.036 | 0.264 | 0.070 | 0.033 | ||||
| Ability | Portugal | Constant | 3.359 | 0.047 | 0.034 | <0.001 | ||
| School | 0.129 | 0.163 | 0.027 | 0.017 | ||||
| Research Project | 0.111 | 0.141 | 0.020 | 0.038 |
Note: sr2 is the squared semi-partial correlation.