| Literature DB >> 33983949 |
Mamadou Dioulde Balde1, Sarah O'Neill2, Alpha Oumar Sall1, Mamadou Bailo Balde1, Anne Marie Soumah1, BoubacarAlpha Diallo1, Christina Catherine Pallitto3.
Abstract
BACKGROUND: Guinea has a high prevalence of female genital mutilation (FGM) (95%) and it is a major concern affecting the health and the welfare of women and girls. Population-based surveys suggest that health care providers are implicated in carrying out the practice (medicalization). To understand the attitudes of health care providers related to FGM and its medicalization as well as the potential role of the health sector in addressing this practice, a study was conducted in Guinea to inform the development of an intervention for the health sector to prevent and respond to this harmful practice.Entities:
Year: 2021 PMID: 33983949 PMCID: PMC8118326 DOI: 10.1371/journal.pone.0249998
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Data collection methods and sample size.
| Questionnaire | IDI | FGD | |
|---|---|---|---|
| Midwives | 50 | 8 | - |
| Doctors (generalists and gynecologists) | 50 | 8 | - |
| Nurses | 50 | 8 | - |
| Community members | |||
| Patients (Exit Interviews) | - | 8 | |
| Women in the community | - | - | 6 |
| Men in the community | - | - | 5 |
| Other key informants | |||
| Health systems managers | - | 6 | - |
| Head of Health school/Medical Faculty | - | 4 | - |
| Health Professional Associations | - | 3 | - |
| TOTAL | 150 | 45 | 11 |
a In-depth interview
b Focus group discussion
Socio-demographic characteristics of health care providers in the quantitative component (n = 150).
| Doctors | |||||||
|---|---|---|---|---|---|---|---|
| Midwives | Gynecologists | Other doctors | Nurses | Nursing Assistants | Total | ||
| n = 50 | n = 15 | n = 35 | n = 20 | n = 30 | N = 150 | % | |
| 11 | 1 | 4 | 1 | 12 | 29 | 19,3 | |
| 17 | 3 | 11 | 5 | 9 | 45 | 30 | |
| 15 | 8 | 12 | 7 | 5 | 47 | 31,3 | |
| 7 | 3 | 8 | 7 | 4 | 29 | 19,4 | |
| 1 | 12 | 24 | 0 | 4 | 41 | 27,3 | |
| 49 | 3 | 11 | 20 | 26 | 109 | 72,7 | |
| 47 | 12 | 30 | 17 | 26 | 132 | 88 | |
| 3 | 3 | 5 | 3 | 4 | 18 | 12 | |
| 14 | 11 | 20 | 9 | 5 | 59 | 39,3 | |
| 24 | 4 | 9 | 5 | 14 | 56 | 37,3 | |
| 12 | 0 | 6 | 6 | 11 | 35 | 23,3 | |
| 4 | 0 | 0 | 0 | 0 | 4 | 2,7 | |
| 4 | 0 | 1 | 0 | 3 | 8 | 5,3 | |
| 3 | 1 | 0 | 0 | 2 | 6 | 4 | |
| 4 | 1 | 2 | 0 | 1 | 8 | 5,3 | |
| 7 | 2 | 13 | 3 | 9 | 34 | 22,7 | |
| 28 | 11 | 19 | 17 | 15 | 90 | 60 | |
Socio-demographics characteristics of health care providers and other key informants in qualitative interviews (n = 20).
| In-depth interviews with health care providers | |||||
|---|---|---|---|---|---|
| Midwives (n = 8) | Doctors (n = 4) | Nurses (n = 8) | TOTAL | ||
| n = 20 | % | ||||
| Under 32 | 1 | 1 | 2 | 4 | 20,0 |
| 32–34 | 1 | 1 | 1 | 3 | 15,0 |
| 35–39 | 4 | 0 | 0 | 4 | 20,0 |
| 40 + | 2 | 2 | 5 | 9 | 45,0 |
| Male | 0 | 4 | 0 | 4 | 20,0 |
| Female | 8 | 0 | 8 | 16 | 80,0 |
| Urban | 4 | 4 | 4 | 12 | 60,0 |
| Rural | 4 | 0 | 4 | 8 | 40,0 |
| Christian | 4 | 0 | 1 | 5 | 25,0 |
| Muslim | 4 | 4 | 7 | 15 | 75,0 |
| Other | 0 | 0 | 0 | 0 | 0,0 |
| Less than 2 | 3 | 2 | 3 | 8 | 40,0 |
| 2–5 | 1 | 1 | 1 | 3 | 15,0 |
| 6–10 | 2 | 0 | 2 | 4 | 20,0 |
| 10 + | 2 | 1 | 2 | 5 | 25,0 |
| Less than 5 | 1 | 0 | 3 | 4 | 20,0 |
| 5–9 | 5 | 2 | 0 | 7 | 35,0 |
| 10–14 | 0 | 0 | 3 | 3 | 15,0 |
| 15–19 | 0 | 0 | 0 | 0 | 0,0 |
| 20–24 | 0 | 0 | 1 | 1 | 5,0 |
| 24+ | 2 | 2 | 1 | 5 | 25,0 |
| 8 | 4 | 8 | 20 | 100 | |
| Health system Managers (n = 6) | Director of Heath professional Association (n = 3) | Director of Heath Schools (n = 4) | Total | ||
| Under 20 | 0 | 0 | 0 | 0 | |
| 20–24 | 0 | 0 | 0 | 0 | |
| 25–29 | 0 | 0 | 0 | 0 | |
| 30–34 | 6 | 3 | 4 | 13 | |
| Male | 5 | 1 | 4 | 10 | |
| Female | 1 | 2 | 0 | 3 | |
| Urban | 4 | 3 | |||
| Rural | 2 | 0 | |||
| Christian | 0 | 0 | |||
| Muslim | 6 | 3 | |||
| Under 5 | 1 | 1 | 0 | 2 | |
| 5–10 | 1 | 0 | 2 | 3 | |
| 11–15 | 2 | 0 | 1 | 3 | |
| 16–20 | 0 | 2 | 0 | 2 | |
| 20+ | 2 | 0 | 1 | 3 | |
Social, legal and ethical aspects of attitudes about FGM based on questionnaire component.
| Midwives | Doctors | Nurses | Nursing assistants | Total | |||
|---|---|---|---|---|---|---|---|
| Gynecologists | Other doctors | ||||||
| n = 50 | n = 15 | n = 35 | n = 20 | n = 30 | 150 | % | |
| % | % | % | % | % | |||
| Agree | 98 | 100 | 88,6 | 95 | 90 | 141 | 94 |
| Disagree | 2 | 0 | 2,9 | 5 | 10 | 6 | 4 |
| I don’t know | 0 | 0 | 8,5 | 0 | 0 | 3 | 2 |
| I do not wish to answer | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 28 | 26,7 | 17,1 | 75 | 63,3 | 58 | 38,7 |
| Disagree | 66 | 73,3 | 68,6 | 25 | 26,7 | 81 | 54 |
| I don’t know | 6 | 0 | 14,3 | 0 | 10 | 11 | 7,3 |
| I do not wish to answer | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 22 | 13,4 | 11,4 | 45 | 60 | 44 | 29,3 |
| Disagree | 58 | 73,3 | 68,6 | 50 | 40 | 86 | 57,4 |
| I don’t know | 18 | 13,3 | 20 | 0 | 0 | 18 | 12 |
| I do not wish to answer | 2 | 0 | 0 | 5 | 0 | 2 | 1,3 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 4 | 0 | 11,4 | 5 | 3,3 | 8 | 5,3 |
| Disagree | 96 | 93,3 | 85,7 | 95 | 93,3 | 139 | 92,6 |
| I don’t know | 0 | 6,6 | 2,9 | 0 | 3,3 | 3 | 2 |
| I do not wish to answer | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 96 | 86,7 | 80 | 100 | 83,3 | 134 | 89,3 |
| Disagree | 2 | 13,3 | 5,7 | 0 | 13,3 | 9 | 6 |
| I don’t know | 2 | 0 | 11,4 | 0 | 3,3 | 6 | 4 |
| I do not wish to answer | 0 | 0 | 2,9 | 0 | 0 | 1 | 0,7 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 96 | 80 | 57,1 | 85 | 76,6 | 120 | 80 |
| Disagree | 4 | 13,3 | 22,8 | 10 | 16,6 | 19 | 12,6 |
| I don’t know | 0 | 6,6 | 14,2 | 5 | 6,6 | 9 | 6 |
| I do not wish to answer | 0 | 0 | 5,7 | 0 | 0 | 2 | 1,3 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| < = 3 | 2 | 13 | 14 | 0 | 7 | 10 | 7 |
| 4 | 10 | 7 | 14 | 20 | 23 | 22 | 15 |
| 5 | 30 | 33 | 20 | 65 | 50 | 55 | 37 |
| 6 | 58 | 47 | 51 | 15 | 20 | 63 | 42 |
| Agree | 96 | 86,6 | 80 | 100 | 90 | 136 | 90,6 |
| Disagree | 0 | 6,6 | 17,1 | 0 | 10 | 10 | 6,6 |
| I don’t know | 4 | 6,6 | 2,8 | 0 | 0 | 4 | 2,6 |
| I do not wish to answer | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
| Agree | 92 | 86,7 | 85,7 | 95 | 90 | 135 | 90 |
| Disagree | 4 | 0 | 5,7 | 5 | 6,7 | 7 | 4,7 |
| I don’t know | 4 | 13,3 | 2,9 | 0 | 3,3 | 6 | 4 |
| I do not wish to answer | 0 | 0 | 5,7 | 0 | 0 | 2 | 1,3 |
| Total | 100 | 100 | 100 | 100 | 100 | 150 | 100 |
Fig 1Percentage of health care providers who believe that excision reduces promiscuity among women.
Fig 2Percentage of health care providers who believe that excision makes women more faithful to their husbands.
Profile of the person who performs excision (%).
| Midwives | Doctors | Nurses | Nursing assistants | Total (n = 150) | ||||
|---|---|---|---|---|---|---|---|---|
| Gynecologist | Doctors | |||||||
| n = 50 | n = 15 | n = 35 | n = 20 | n = 30 | Number | % | ||
| % | % | % | % | % | ||||
| Who performs excision in your country (select all that apply) | ||||||||
| 96 | 100 | 94,2 | 70 | 73,3 | 132 | |||
| 0 | 0 | 11,4 | 0 | 6,7 | 6 | |||
| 32 | 13,3 | 25,7 | 10 | 40 | 41 | |||
| 54 | 66,6 | 31,4 | 60 | 66,6 | 80 | |||
| 4 | 6,7 | 2,8 | 5 | 6,6 | 7 | |||
| 2 | 0 | 0 | 10 | 0 | 3 | |||
| 0 | 0 | 0 | 1,3 | 0,7 | 3 | |||