| Literature DB >> 36231296 |
Marion Albouy1,2,3,4, Maud Parthenay1, Maeva Nogues1, Agathe Leyris1, Léa Degorce1, Zacharie Barthelemy1, Diana Rafidison1, Anne-Sophie Gourgues4, Virginie Migeot1,2,3,4, Jean Pylouster5, Antoine Dupuis1,2,3,4.
Abstract
Introduction: The digitalized PREVED (PREgnancy, PreVention, Endocrine Disruptor) questionnaire was used in the clinical practices of health professionals (HP) who adhered to the MEDPREVED strategy. The objectives were to assess the strategy and to determine if it could improve access to endocrine disruptor (ED) exposure prevention.Entities:
Keywords: clinical prevention; endocrine disruptor; environmental health; general practitioners; health education; health professionals; midwives; paediatricians
Mesh:
Substances:
Year: 2022 PMID: 36231296 PMCID: PMC9565443 DOI: 10.3390/ijerph191911993
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Characteristics of qualitative study population (M: midwife; Pe: Paediatrician or GP with a prenatal activity; P: patient from general population; Pa: patient with young children or pregnant woman).
| Population | Age (Years) | Sex | Location | Characteristics | Number of Children |
|---|---|---|---|---|---|
| M1 | 53 | Female | Urban | Private working for, 28 years | NA |
| M2 | 51 | Female | Urban | Private working for 28 years | NA |
| M3 | 39 | Female | Urban | Private working for 15 years | NA |
| M4 | 35 | Female | Rural | Private working for 15 years | NA |
| M5 | 57 | Female | Rural | Private working for 35 years | NA |
| M6 | 28 | Female | Rural | Private working for 15 years | NA |
| M7 | 44 | Female | Rural | Private working for 13 years | NA |
| M8 | 26 | Female | Rural | Private working for 2 years | NA |
| M9 | 51 | Female | Urban | Private working for 28 years | NA |
| M10 | 42 | Female | Urban | Private working for 18 years | NA |
| M11 | 56 | Female | Urban | Mother-and-child protection, working for 36 years | NA |
| M12 | 60 | Female | Urban | Mother-and-child protection, working for 39 years | NA |
| Pe1 | 37 | Female | Rural | Private GP, working for 8 years | 1 |
| Pe2 | 31 | Male | Semi-rural | Hospital, working for 2 years | 0 |
| Pe3 | 55 | Female | Semi-rural | Hospital, working for 25 years | 2 |
| Pe4 | 45 | Female | Urban | Mother-and-child health, working for 7 years | ? |
| Pe5 | 36 | Male | Rural | Private GP, working for 8 years | 2 |
| Pe6 | 34 | Male | Semi-rural | Hospital, working for 4 years | 3 |
| Pe7 | 50 | Female | Rural | Private, working for 20 years | NA |
| Pe8 | 34 | Female | Semi-rural | Hospital, working for 4 years | 3 |
| P1 | 43 | Female | Semi-rural | Clinical psychologist | 3 |
| P2 | 21 | Female | Rural | Child care worker | 0 |
| P3 | 36 | Female | Rural | Start-up manager | 1 |
| P4 | 50 | Female | Rural | Orderly | 2 |
| P5 | 49 | Female | Rural | Dental assistant | 3 |
| P6 | 34 | Female | Semi-rural | Life aid | 2 |
| P7 | 40 | Male | Rural | Teacher | 0 |
| P8 | 20 | Female | Rural | Student | 0 |
| P9 | 40 | Female | Rural | Psychologist | 3 |
| P10 | 23 | Female | Rural | Construction manager | 0 |
| P11 | 47 | Male | Semi-rural | Mutual Trade Advisor | 2 |
| Pa1 | 26 | Female | Rural | Rental Consultant | 1 |
| Pa2 | 33 | Female | Rural | Farmer | 1 |
| Pa3 | 21 | Female | Urban | Orderly | 1 |
| Pa4 | 33 | Female | Urban | Associate professor at the university | 0 |
| Pa5 | 41 | Female | Urban | Client Banking Advisor | 1 |
| Pa6 | 36 | Female | Rural | Trainer in Rural Family Home | 1 |
| Pa7 | 34 | Female | Rural | School nurse | 0 |
| Pa8 | 26 | Female | Rural | Primary teacher/kindergarten | 1 |
| Pa9 | 30 | Female | Semi-rural | Pulmonologist | 1 |
| Pa10 * | 37 | Female | Urban | Psychologist | 1 |
| Pa11 * | 34 | Male | Urban | Physics and chemistry teacher | 1 |
| Pa12 | 35 | Female | Rural | hospital pharmacist | 1 |
* couple; NA: not available; ?: M: midwife; Pe: Paediatrician or GP with a prenatal activity; P: patient from general population; Pa: patient with young children or pregnant woman).
Characteristics of the 26 GPs included in the quantitative study.
| N | % | |
|---|---|---|
| Sex | ||
| Male | 10 | 38 |
| Female | 15 | 58 |
| Data missing | 1 | 4 |
| Department of the Nouvelle-Aquitaine region | ||
| Charente (16) | 5 | 19 |
| Charente-Maritime (17) | 3 | 12 |
| Corrèze (19) | 1 | 4 |
| Dordogne (24) | 2 | 7 |
| Gironde (33) | 8 | 31 |
| Deux-Sèvres (79) | 6 | 23 |
| Haute-Vienne (87) | 1 | 4 |
| Medical practice location | ||
| Rural | 8 | 31 |
| Semi-urban | 11 | 42 |
| Urban | 7 | 27 |
| Type of practice | ||
| Medical office alone | 4 | 15 |
| Medical office group | 15 | 58 |
| Pluriprofessional medical center | 7 | 27 |
| Master of General Practice Internship | 14 | 54 |
| Has small children | 13 | 50 |
| Already knew about endocrine disruptors | 19 | 73 |
| Wanted training on the topic | 26 | 100 |
| Thought it was an important topic | 25 | 96 |
| Had already addressed the topic in consultation | 15 | 58 |
Feasibility, accessibility and utility of MEDPREVED strategy from General Practitioners’ point of view (n = 26).
| Not at All | Rather No | Rather Yes | Absolutely | |
|---|---|---|---|---|
| Accessibility to PREVED© questionnaire by QR code is appropriate, n (%) | 3 (18) | 3 (18) | 11 (65) | 0 |
| Numerical response modalities are easy, n (%) | 0 | 3 (18) | 14 (82) | 0 |
| Questionnaire is time-consuming, n (%) | 0 | 4 (29) | 9 (64) | 1 (7) |
| It is feasible in routine with the same modalities (waiting room, QR code), n (%) | 1 (7) | 7 (50) | 4 (29) | 2 (14) |
| It is suitable for all patients, n (%) | 0 | 5 (29) | 12 (71) | 0 |
| The number of questions is adequate, n (%) | 0 | 0 | 13 (77) | 4 (24) |
| Questions are easy to read by your patients, n (%) | 0 | 2 (12) | 15 (88) | 0 |
| It has been appreciated by patients, n (%) | 1 (8) | 0 | 11 (85) | 1 (8) |
| It introduced the topic of ED exposure, n (%) | 1 (8) | 1 (7) | 7 (50) | 5 (36) |
| It allowed you to improve your knowledge, n (%) | 1 (8) | 3 (21) | 4 (29) | 6 (43) |
| He encouraged you to engage in research, n (%) | 0 | 2 (14) | 9 (64) | 3 (21) |
| It has changed the behaviour of some patients, n (%) | 2 (14) | 4 (29) | 6 (43) | 2 (14) |
Figure 1Modalities of MEDPREVED feasibility and accessibility.
Figure 2Results implemented in Levesque model.