| Literature DB >> 35858728 |
Martin Molina1, Adeline Boëffard1, Maxime Esvan2, Benjamin Bastian3,2.
Abstract
OBJECTIVES: To measure medical students' exposure to pharmaceutical product promotion and incentives nationwide, and to evaluate students' attitudes towards the pharmaceutical industry, access to education on promotional strategies and knowledge of institutional policies about drug company-student relationships.Entities:
Keywords: ethics (see medical ethics); health policy; medical education & training; organisation of health services; quality in health care
Mesh:
Substances:
Year: 2022 PMID: 35858728 PMCID: PMC9305804 DOI: 10.1136/bmjopen-2020-045671
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Recruitment of students.
Sociodemographic characteristics of the respondents
| All | Clinical students | Primary care residents | Other residents | |
| Age in years (mean±SD) | 26.2±10.1 | 24.0±7.2 | 27.7±9.8 | 28.1±9.1 |
| Gender (n, % poststratification) | ||||
| Female | 4066 (65.4%) | 2290 (65.3%) | 930 (69.7%) | 846 (62.1%) |
| Male | 2214 (34.6%) | 1259 (34.7%) | 405 (30.3%) | 550 (37.9%) |
| Year of study (n, % poststratification) | ||||
| 4–6 | 3549 (56.5%) | 3549 (56.5%) | – | – |
| 7–9 | 2189 (34.9%) | – | 1288 (96.5%) | 901 (64.5%) |
| 10–12 | 542 (8.6%) | – | 47 (3.5%) | 495 (35.5%) |
| Medical school (n, % poststratification) | ||||
| Paris | 1021 (20.4%) | 806 (22.9%) | 54 (9.9%) | 161 (25.2%) |
| Lille | 169 (6.8%) | 70 (7.2%) | 50 (6.9%) | 49 (6.1%) |
| Lyon | 222 (5.0%) | 149 (5.9%) | 52 (6.6%) | 21 (2.7%) |
| Bordeaux | 303 (4.9%) | 137 (4.8%) | 85 (5.4%) | 81 (4.7%) |
| Aix-Marseille | 108 (4.6%) | 59 (4.5%) | 30 (6.6%) | 19 (3.3%) |
| Nancy | 349 (3.9%) | 260 (4.2%) | 62 (5.6%) | 27 (2.2%) |
| Toulouse | 164 (3.9%) | 108 (3.4%) | 2 (0.3%) | 54 (7.2%) |
| Montpellier | 195 (3.6%) | 55 (3.1%) | 103 (6.1%) | 37 (2.4%) |
| Strasbourg | 134 (3.5%) | 83 (3.6%) | 40 (5.2%) | 11 (2.0%) |
| Rennes | 445 (3.0%) | 251 (2.8%) | 109 (3.6%) | 85 (2.6%) |
| Nantes | 270 (3.0%) | 110 (3.2%) | 50 (1.8%) | 110 (3.6%) |
| Rouen | 161 (3.0%) | 94 (2.7%) | 38 (4.3%) | 29 (2.3%) |
| Tours | 157 (2.9%) | 112 (3.3%) | 17 (1.6%) | 28 (3.3%) |
| Angers | 417 (2.7%) | 180 (2.7%) | 141 (3.6%) | 96 (2.1%) |
| Amiens | 263 (2.7%) | 209 (2.9%) | 7 (0.7%) | 47 (3.8%) |
| Caen | 175 (2.7%) | 86 (2.6%) | 34 (2.3%) | 55 (3.2%) |
| Grenoble | 272 (2.6%) | 194 (2.2%) | 68 (5.4%) | 10 (0.9%) |
| Besançon | 201 (2.5%) | 93 (2.4%) | 53 (2.5%) | 55 (2.5%) |
| Reims | 195 (2.4%) | 52 (2.9%) | 36 (1.2%) | 107 (2.7%) |
| Clermont-Ferrand | 186 (2.4%) | 112 (2.3%) | 31 (2.8%) | 43 (2.2%) |
| Dijon | 87 (2.3%) | 5 (2.0%) | 23 (1.5%) | 59 (3.3%) |
| Brest | 187 (2.2%) | 99 (2.2%) | 51 (2.6%) | 37 (1.9%) |
| Saint-Etienne | 168 (1.9%) | 94 (1.7%) | 28 (1.9%) | 46 (2.3%) |
| Nice | 113 (1.9%) | 30 (1.9%) | 55 (2.7%) | 28 (1.4%) |
| Limoges | 150 (1.5%) | 71 (1.7%) | 27 (1.1%) | 52 (1.6%) |
| Antilles-Guyane | 64 (1.5%) | 30 (0.9%) | 15 (1.5%) | 19 (2.2%) |
| Poitiers | 38 (1.5%) | 0 (0.0%) | 29 (4.1%) | 9 (1.4%) |
| La Réunion/Océan Indien | 66 (0.8%) | – | 45 (2.1%) | 21 (0.8%) |
Characteristics of exposure to pharmaceutical promotion and incentives per student category
| All | Clinical students | Primary care residents | Other residents | P value | |
| CE to pharmaceutical product promotion and incentives (n, % poststratification, 99% CI) | |||||
| No exposure | 288 (3.7%) | 277 (7.9%) | 2 (0.2%) | 9 (0.7%) | <0.001* |
| Exposure of any nature | 5992 (96.3%) | 3272 (92.1%) | 1333 (99.8%) | 1387 (99.3%) | |
| CE score (mean±SD) | |||||
| 7.1±14.1 | 4.0±7.1 | 8.9±12.3 | 10.1±17.3 | <0.001† | |
| Number of situations to which students had been exposed at least once (n, % poststratification, 99% CI). Medians are in bold, quartiles are underlined | |||||
| 0 | 288 (3.7%) | 277 (7.9%) | 2 (0.2%) | 9 (0.7%) | <0.001‡ |
| 1 | 325 (3.9%) | 311 (8.3%) | 6 (0.3%) | 8 (0.7%) | |
| 2 | 555 (7.4%) | 18 (1.2%) | 28 (2.1%) | ||
| 3 | 85 (6.4%) | 53 (3.7%) | |||
| 4 | 1170 (17.6%) | 179 (14.6%) | 168 (10.4%) | ||
| 5 | 563 (15.1%) | ||||
| 6 | 247 (6.9%) | ||||
| 7 | 629 (12.2%) | 71 (2.2%) | |||
| 8 | 289 (6.1%) | 18 (0.5%) | 134 (10.2%) | 137 (10.8%) | |
| 9 | 69 (1.3%) | 3 (0.1%) | 24 (1.4%) | 42 (3.0%) | |
| 10 | 12 (0.3%) | 1 (0.0%) | 5 (0.4%) | 6 (0.5%) | |
The CE score is the sum of the answers to the 10 exposure situations assessed on a four-category scale, ranging from 0 (no exposure) to 30 (maximum exposure). Comparisons were made between subgroups of students (including residents) with the following tests.
*Kruskal-Wallis test.
†Analysis of variance.
‡Fisher’s exact test.
CE, cumulative exposure.
Figure 2Exposure of medical students to each type of pharmaceutical product promotion and incentive. Numbers are percentages.
Figure 3Appropriateness of gifts and promotional funding from the pharmaceutical industry as perceived by students. Each student was asked to assess whether they found it acceptable to receive each of the items proposed. Numbers are percentages.
Average appropriateness scores according to student categories
| Number | Appropriateness score (mean±SD) | P value | |
| All | 5992 | 2.2±5.2 | <0.001* |
| Clinical students | 3333 | 2.3±4.5 | |
| Primary care residents | 1306 | 1.7±5.6 | |
| Other residents | 1353 | 2.6±5.9 | |
| Among residents | 2659 | 2.2±5.9 | <0.001* |
| Group 1 (primary care residents) | 1306 | 1.7±5.6 | |
| Group 2 (residents in medical specialties other than primary care who regularly prescribe drugs) | 954 | 2.4±6.0 | |
| Group 3 (surgical residents) | 196 | 3.2±5.0 | |
| Group 4 (residents in medical specialties who do not prescribe drugs) | 203 | 2.7±5.8 |
The appropriateness score was calculated by summing the answers to the five questions assessing the acceptance of gifts and incentives after reclassification into a binary variable (agree/do not agree). It ranged from 0 (meaning that gifts and incentives appeared to be totally inappropriate for the respondent) to 5 (meaning full acceptance of gifts and incentives by the respondent).
*Analysis of variance.
Figure 4Students’ scepticism about the influence of pharmaceutical product promotion and incentives. Students were asked whether they agreed or disagreed with the items proposed. Numbers are percentages.
Average scepticism scores according to student categories
| Number | Scepticism score (mean±SD) | P value | |
| All | 5980 | 4.0±5.4 | <0.001* |
| Clinical students | 3324 | 4.1±4.5 | |
| Primary care residents | 1304 | 4.3±6.0 | |
| Other residents | 1352 | 3.6±6.5 | |
| Among residents | 2656 | 3.9±6.4 | <0.001* |
| Group 1 (primary care residents) | 1304 | 4.3±6.0 | |
| Group 2 (residents of medical specialties other than primary care who regularly prescribe drugs) | 953 | 3.7±6.6 | |
| Group 3 (surgical specialties) | 196 | 3.1±5.5 | |
| Group 4 (residents of medical specialties who do not prescribe drugs) | 203 | 3.5±6.4 |
The scepticism score is calculated by summing the answers to the seven proposals after reclassification into a binary variable (agree/disagree), as defined in the ‘Methods’ section. It ranges from 0, meaning no scepticism (the student does not think that contacts with promotional activities could have an influence on future behaviour), to 7 (he or she thinks that it could have an influence on future behaviour).
*Analysis of variance.
Appropriateness and scepticism scores according to access to education on pharmaceutical industry incentives
| All | No education | Education | P value | |
| Appropriateness score (mean±SD) | ||||
| N=5992 | 2.2±5.2 | 2.3±5.2 | 2.1±5.3 | <0.001* |
| Scepticism score (mean±SD) | ||||
| N=5980 | 4.0±5.4 | 3.9±5.3 | 4.3±5.5 | <0.001* |
*Student’s t-test.