| Literature DB >> 25279555 |
François Montastruc1, Guillaume Moulis2, Aurore Palmaro3, Virginie Gardette4, Geneviève Durrieu3, Jean-Louis Montastruc3.
Abstract
BACKGROUND: The present study aimed to describe exposure and attitudes of French medical residents towards pharmaceutical industry. The study was performed shortly after the Mediator affair which revealed several serious conflicts of interest inside the French health system. METHODS ANDEntities:
Mesh:
Year: 2014 PMID: 25279555 PMCID: PMC4184806 DOI: 10.1371/journal.pone.0104828
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Main characteristics of Residents (n = 631) from the different Medical Universities participating to the Survey.
| Medical University | University Victor Segalen | University Paul Sabatier | University of Montpellier | University Méditerranée | University Nice Sophia Antipolis | University Joseph Fournier | Total |
| Location | Bordeaux | Toulouse | Montpellier | Marseille | Nice | Grenoble | - |
| Age mean (SD), years | 27.8 (2.1) | 27.5 (1.9) | 27.4 (1.8) | 27.3 (2.0) | 26.9 (1.0) | 27.4 (2.0) | 27.5 (1.9) |
| Women, % | 58.7 | 70.6 | 68.1 | 65.4 | 86.4 | 71.8 | 68.0 |
| Response rate, Number (%) | 93 (13.3) | 156 (17.9) | 122 (17.5) | 134 (20.0) | 22 (14.6) | 104 (18.8) | 631 (17.3) |
| Number of years in residence (%) | |||||||
| 0 yr | 21 (22.6) | 25 (16.0) | 19 (15.6) | 30 (22.4) | 8 (36.5) | 25 (24.0) | 128 (20.3) |
| 1 yr | 18 (19.3) | 38 (24.3) | 37 (30.3) | 42 (31.3) | 4 (18.1) | 25 (24.0) | 164 (26.0) |
| 2 yr | 21 (22.6) | 47 (30.1) | 40 (32.8) | 35 (26.1) | 9 (40.9) | 39 (37.6) | 191 (30.3) |
| 3 yr | 22 (23.6) | 33 (21.1) | 19 (15.6) | 14 (10.4) | 1 (4.5) | 9 (8.6) | 98 (15.5) |
| 4 yr | 11 (11.8) | 12 (7.7) | 7 (5.7) | 12 (8.9) | 0 | 6 (5.8) | 48 (7.6) |
| 5 yr | 0 | 1 (0.6) | 0 | 1 (0.7) | 0 | 0 | 2 (0.3) |
| Specialty (number, %) | |||||||
| Family practice | 21 (22.6) | 71 (45.5) | 57 (46.7) | 66 (49.3) | 22 (100) | 61 (58.7) | 298 (47.2) |
| Medical specialty | 27 (29.0) | 29 (18.5) | 26 (21.3) | 24 (17.9) | 0 | 22 (21.2) | 128 (20.3) |
| Surgery | 17 (18.2) | 14 (9.0) | 13 (10.7) | 12 (9.0) | 0 | 6 (5.8) | 62 (9.8) |
| Anesthesiology | 5 (5.4) | 9 (5.8) | 5 (4.1) | 8 (6.0) | 0 | 2 (1.9) | 29 (4.6) |
| Psychiatry | 5 (5.4) | 16 (10.3) | 10 (8.2) | 8 (6.0) | 0 | 5 (4.7) | 44 (7.0) |
| Others | 18 (19.4) | 17 (10.9) | 11 (9.0) | 16 (11.8) | 0 | 8 (7.7) | 70 (11.1) |
* In Nice University, only residents in family practice were included.
Medical specialty: Cardiology, Neurology, Gastroenterology, Internal Medicine, Dermatology, Radiology, Nephrology, Pulmonology, Oncology, Hematology, Endocrinology, Physical Medicine and Rehabilitation, Rheumatology, Genetic.
Others: Pediatry, Gynecology, Obstetric, Public health, Biology.
Abbreviations SD: Standard Deviation; yr: year.
Type of Residents' Exposure with Drug Companies.
| Type of Event or Gift | Residents, No (n = 631) | Residents Who participated in or received a gift ≥1 Event, n (%) | Exposure Frequency per Month | |
| Mean (SD) | Range | |||
| Meetings with pharmaceutical sale representative | 629 | 600 (95.4) | 1.34 (1.04) | 0–3.50 |
| Gift ≥50 € | 585 | 71 (12.1) | 0.03 (0.11) | 0–1.16 |
| Gift <50 € | 590 | 356 (60.3) | 0.19 (0.46) | 0–5.30 |
| Congress or conference paid by a drug company | 599 | 215 (35.9) | 0.06 (0.14) | 0–1.0 |
| Restaurant provided by a drug company | 622 | 529 (85.0) | 0.24 (0.31) | 0–3.5 |
| Thesis paid by a drug company | 580 | 40 (6.8) | 0.01 (0.06) | 0–1.0 |
| Book donated by a drug company | 593 | 102 (5.2) | 0.03 (0.09) | 0–1.0 |
Abbreviations SD: Standard Deviation.
Predictors of Resident-Industry Relationships.
| Characteristics | Exposure ≥1.5 per month | ||||
| Percentage (%) | Bivariate analysis | Multivariate analysis Final Model | |||
| OR [CI 95%] | p-value | OR [CI 95%] | p-value | ||
|
| |||||
| Male (n = 172) | 55.23 | 1 | 0.352 | ||
| Female (n = 371) | 50.94 | 0.84 [0.58–1.21] | |||
|
| |||||
| Marseille (n = 115) | 51.30 | 1 | 0.031 | ||
| Bordeaux (n = 85) | 56.47 | 1.23 [0.70–2.16] | |||
| Toulouse (n = 132) | 44.70 | 0.77 [0.46–1.27] | |||
| Montpellier (n = 108) | 54.63 | 1.14 [0.67–1.93] | |||
| Nice (n = 20) | 90.00 | 8.54 [1.89–38.51] | |||
| Grenoble (n = 91) | 48.35 | 0.89 [0.51–1.54] | |||
|
| |||||
| Family practice (n = 260) | 50.77 | 1 | <0.001 | 1 | <0.001 |
| Medical specialty | 66.97 | 1.97 [1.23–3.14] | 1.69 [0.99–2.86] | ||
| Surgery (n = 56) | 64.29 | 1.75 [0.96–3.18] | 1.86 [0.96–3.58] | ||
| Anesthesiology (n = 24) | 12.50 | 0.14 [0.04–0.48] | 0.17 [0.05–0.61] | ||
| Psychiatry (n = 42) | 35.71 | 0.54 [0.27–1.06] | 0.59 [0.29–1.21] | ||
| Others | 46.67 | 0.85 [0.48–1.49] | 0.87 [0.48–1.58] | ||
|
| |||||
| No (n = 392) | 53.32 | 1 | 0.364 | ||
| Yes (n = 159) | 49.06 | 0.84 [0.58–1.22] | |||
|
| |||||
| No (n = 280) | 51.43 | 1 | 0.721 | ||
| Yes (n = 266) | 53.01 | 1.06 [0.76–1.49] | |||
|
| |||||
| Negative-neutral (n = 502) | 50.20 | 1 | 0.006 | 1 | 0.032 |
| Positive (n = 49) | 71.43 | 2.48 [1.30–4.72] | 2.12 [1.07–4.22] | ||
|
| |||||
| No (n = 356) | 51.97 | 1 | 0.886 | ||
| Yes (n = 192) | 52.60 | 1.03 [0.72–1.46] | |||
|
| |||||
| No (n = 448) | 51.79 | 1 | 0.542 | ||
| Yes (n = 96) | 55.21 | 1.15 [0.74–1.79] | |||
|
| |||||
| 0 year (n = 114) | 76.32 | 1 | <0.001 | 1 | <0.001 |
| 1 years (n = 134) | 52.99 | 0.35 [0.20–0.61] | 0.38 [0.21–0.67] | ||
| 2 years (n = 175) | 37.71 | 0.19 [0.11–0.32] | 0.20 [0.11–0.34] | ||
| ≥3 years (n = 128) | 49.22 | 0.30 [0.17–0.52] | 0.25 [0.14–0.46] | ||
Medical specialty: Cardiology, Neurology, Gastroenterology, Internal Medicine, Dermatology, Radiology, Nephrology, Pulmonology, Oncology, Hematology, Endocrinology, Physical Medicine and Rehabilitation, Rheumatology, Genetic.
Others: Pediatry, Gynecology, Obstetric, Public health, Biology.
* The following factors were therefore included in the model: gender, universities, medical specialties, education or any awarenessraising action about conflicts of interest, opinion about pharmaceutical industry, number of years in residence, change in their practice about drug information since Mediator's affair.
Abbreviations OR: Odds Ratio; CI 95%: Confidence Interval 95%.
Information from drug companies.
| Statement | Strongly disagree, n (%) | Disagree, n (%) | Neutral, n(%) | Agree, n (%) | Strongly agree, n (%) |
| Information from pharmaceutical industry is of good quality (n = 625) | 90 (14.4) | 226 (36.2) | 231 (37.0) | 74 (11.8) | 4 (0.6) |
| Information from pharmaceutical industry is valuable to me (n = 625) | 125 (20.0) | 197 (31.5) | 159 (25.5) | 122 (19.5) | 22 (3.5) |
| Drug company-sponsored grand rounds are often biased in favor of the company's products (n = 626) | 18 (2.9) | 65 (10.3) | 78 (12.5) | 233 (37.2) | 232 (37.1) |
| Your knowledge is sufficient to be not influenced by pharmaceutical industry (n = 624) | 51 (8.2) | 169 (27.1) | 183 (29.3) | 168 (26.9) | 53 (8.49) |
| Advertising for prescription-only drugs in medical journals should not be allowed (n = 623) | 27 (4.3) | 92 (14.8) | 141 (22.6) | 117 (18.8) | 246 (39.5) |
Pharmaceutical financial sponsoring.
| Statement | Strongly disagree, n (%) | Disagree, n (%) | Neutral, n (%) | Agree, n (%) | Strongly agree, n (%) |
| It is acceptable that a medical Professor receive money from drug companies for medical congress (n = 624) | 143 (22.9) | 110 (17.6) | 152 (24.4) | 148 (23.7) | 71 (11.4) |
| Since students from non-medical universities are invited to meetings and meals by private companies, medical residents should be allowed to attend similar arrangements with pharmaceutical industry (n = 627) | 79 (12.6) | 72 (11.5) | 166 (26.5) | 135 (21.5) | 175 (27.9) |
| It is acceptable that medical residents receive financial sponsoring from drug companies, because they haven't enough money to be informed (n = 625) | 162 (25.9) | 92 (14.7) | 107 (17.1) | 144 (23.1) | 120 (19.2) |
| It is acceptable that medical residents receive financial sponsoring from drug companies, because drug companies have minimal influence on residents (n = 626) | 199 (31.8) | 156 (24.9) | 109 (17.4) | 112 (17.9) | 50 (8.0) |