| Literature DB >> 35501752 |
Lou Richelle1, Michèle Dramaix-Wilmet2, Michel Roland3, Nadine Kacenelenbogen3.
Abstract
BACKGROUND: People with substance use disorder, and pregnant women especially, are subject to a lot of stigmas, which can prevent optimal accessibility and quality of care. In this survey, we investigated attitudes of final year medical students regarding substance use during pregnancy and identified the factors that influence these attitudes.Entities:
Keywords: Attitudes; Medical students; Pregnancy; Substance use
Mesh:
Year: 2022 PMID: 35501752 PMCID: PMC9060417 DOI: 10.1186/s12909-022-03394-8
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 3.263
Fig. 1Distribution (%) of responses to questions on punishment if a pregnant woman uses drugs or alcohol.
Punishment for pregnant women using drugs or alcohol
| Disagree | Undecided | Agree | |
|---|---|---|---|
| Disagree | 10 (2.9) | 6 (1.7) | |
| Undecided | 12 (3.4) | 11 (3.1) | |
| Agree | 3 (0.9) | 1 (0.3) | |
% calculated per cell on the total (n = 350) - in bold: observed concordance.
Association between respondents’ personal characteristics and agreement on punishment
| Drugs | Alcohol | |||||||
|---|---|---|---|---|---|---|---|---|
| Disagree | Undecided | Agree | Disagree | Undecided | Agree | |||
| Age (years) | 0,378 | 0,219 | ||||||
| < 25 | 121 (63.0) | 41 (21.4) | 30 (15.6) | 121 (63.0) | 36 (18.8) | 35 (18.2) | ||
| 25–29 | 86 (63.2) | 33 (24.3) | 17 (12.5) | 81 (60.9) | 29 (21.8) | 13 (17.3) | ||
| 30 et + | 10 (50.0) | 4 (20.0) | 6 (30.0) | 9 (45.0) | 3 (15.0) | 8 (40.0) | ||
| Gender | 0,107 | 0,122 | ||||||
| F | 155 (65.7) | 51 (21.6) | 30 (12.7) | 151 (64.5) | 44 (18.8) | 39 (16.7) | ||
| M | 63 (55.3) | 28 (24.6) | 23 (20.2) | 61 (54.0) | 24 (21.2) | 28 (24.8) | ||
| Mother’s educationb | 0,217 | 0,115 | ||||||
| Low | 13 (46.4) | 7 (25.0) | 8 (28.6) | 12 (42.9) | 8 (28.6) | 8 (28.6) | ||
| Middle | 39 (63.9) | 12 (19.7) | 10 (16.4) | 39 (65.0) | 7 (11.7) | 14 (23.3) | ||
| High | 162 (63.5) | 60 (23.5) | 33 (12.9) | 157 (62.1) | 53 (21.0) | 43 (17.0) | ||
| Origin (subjects-parents)c | 0,843 | 0,541 | ||||||
| Belgium | 97 (63.8) | 35 (23.0) | 20 (13.2) | 101 (66.9) | 25 (16.6) | 25 (16.6) | ||
| Mix BE | 31 (57.4) | 14 (25.9) | 9 (16.7) | 31 (58.5) | 12 (22.6) | 10 (18.9) | ||
| Mix BNE | 19 (57.6) | 7 (21.2) | 7 (21.2) | 15 (46.9) | 7 (21.9) | 10 (31.3) | ||
| Europe | 37 (58.7) | 14 (22.2) | 12 (19.1) | 35 (55.6) | 13 (20.6) | 15 (23.8) | ||
| Outside Europe | 29 (70.7) | 2 (19.5) | 4 (9.8) | 26 (63.4) | 8 (19.5) | 7 (17.1) | ||
| Drug use | 0,133 | 0,231 | ||||||
| None | 106 (56.7) | 47 (25.1) | 34 (18.2) | 105 (56.5) | 39 (21.0) | 42 (22.6) | ||
| Cannabis | 80 (71.4) | 21 (18.8) | 11 (9.8) | 78 (69.6) | 18 (16.1) | 16 (14.3) | ||
| Multiple | 28 (59.6) | 11 (23.4) | 8 (17.0) | 26 (57.8) | 10 (22.2) | 9 (20.0) | ||
| SUD in Entourage | 0,568 | 0,464 | ||||||
| None | 73 (57.9) | 28 (22.2) | 25 (19.8) | 69 (55.7) | 25 (20.2) | 30 (24.2) | ||
| Alcohol | 27 (64.3) | 10 (23.8) | 5 (11.9) | 26 (63.4) | 10 (24.4) | 5 (12.2) | ||
| Cannabis | 11 (57.9) | 7 (36.8) | 1 (5.3) | 9 (50.0) | 6 (33.3) | 3 (16.7) | ||
| Alcohol-cannabis | 43 (70.5) | 11 (18.0) | 7 (11.5) | 42 (67.7) | 9 (14.5) | 11 (17.7) | ||
| Other drugs | 63 (62.4) | 23 (22.8) | 15 (14.9) | 65 (64.4) | 18 (17.8) | 18 (17.8) | ||
| Health perception | 0,475 | 0,420 | ||||||
| Excellent | 20 (52.6) | 12 (31.6) | 6 (15.8) | 21 (55.3) | 11 (29.0) | 6 (15.8) | ||
| Very good | 36 (70.6) | 9 (17.7) | 6 (11.8) | 36 (70.6) | 8 (15.7) | 7 (13.7) | ||
| Good-Fair | 19 (63.3) | 6 (20.0) | 5 (16.7) | 17 (56.7) | 6 (20.0) | 7 (23.3) | ||
| Addiction training subscription | 0,028 | 0,023 | ||||||
| No | 195 (60.2) | 77 (23.8) | 52 (16.1) | 191 (59.5) | 63 (19.6) | 67 (20.9) | ||
| Yes | 27 (84.3) | 3 (9.4) | 2 (6.3) | 25 (78.1) | 6 (18.8) | 1 (3.1) | ||
a:Fisher exact or Chi2. b:Low = no diploma to lower secondary, Middle = from lower secondary to upper secondary, high = higher education (high school, university, PhD). c: BE Belgian and European; BNE Belgian and non-European
Fig. 2Distribution of responses to the question of punishment for pregnant women who use drugs (figure on the left; p = 0.014) or alcohol (figure on the right, p = 0.033) according to the medical specialty chosen. Choice of speciality: Internal Medicine (I Med), Other (other specialties), Gynaecology (Gyn), General Practice (GP), Paediatrics (Paed), Child and Adult Psychiatry (Psy)
Fig. 3Distribution of responses to the question of punishment for pregnant women who use drugs (figure on the left, p = 0.296) or alcohol (figure on the right, p = 0.031) according to educational setting. GP = General Practice