| Literature DB >> 30041654 |
Alba González-Timoneda1,2, Vicente Ruiz Ros3,4, Marta González-Timoneda5, Antonio Cano Sánchez6.
Abstract
BACKGROUND: The practice of Female Genital Mutilation (FGM) is a deeply-rooted tradition in 30 Sub-Saharan and Middle-East countries which affects approximately 200 million women and girls worldwide. The practice leads to devastating consequences on the health and quality of life of women and girls in both the short and long term. Globalizing processes and migration flows have recorded cases of this practice worldwide representing for healthcare professionals an emerging challenge on how to approach their healthcare in a transcultural, ethical and respectful way. No survey to assess knowledge, attitudes and practices on FGM among primary healthcare professionals has been conducted in the Valencian region of Spain to date.Entities:
Keywords: Female genital mutilation; KAP study; Primary health care; Professional practice; Women’s health
Mesh:
Year: 2018 PMID: 30041654 PMCID: PMC6057065 DOI: 10.1186/s12913-018-3396-z
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Types of Female Genital Mutilation
| Type | Description |
|---|---|
| I | Clitoridectomy |
| II | Excision |
| III | Infibulation |
| IV | Others |
Source: Classification of the World Health Organization, 1995
Sociodemographic characteristics of the sample and knowledge, attitudes and practices related to FGM
| N | % | |
|---|---|---|
| Survey respondents | 321 | 100 |
| Profession | ||
| GPs | 123 | 38.3 |
| Gynaecologist | 1 | 0.3 |
| Paediatricians | 25 | 7.8 |
| Nurses | 146 | 45.5 |
| Midwives | 11 | 3.4 |
| Social workers | 13 | 4.1 |
| Other | 2 | 0.6 |
| Gender | ||
| Male | 77 | 24 |
| Female | 230 | 71.7 |
| Other | 2 | 0.6 |
| No answer | 12 | 3.7 |
| Age (years) | ||
| ≤ 35 | 43 | 13.4 |
| 36–50 | 69 | 21. 5 |
| > 50 | 181 | 56.4 |
| No answer | 28 | 8.7 |
| Training received | 48 | 15 |
| Proper traininga | 3 | 6.25 |
| Correct identification | ||
| Types of FGM | 73 | 22.7 |
| Countries of prevalence | 16 |
|
| Legislation | 93 | 29 |
| Reasons for conducting FGM | ||
| Tradition and customs | 120 | 37.4 |
| Religious reasons | 24 | 7.5 |
| Tradition and religious reasons | 130 | 40.5 |
| Tradition and marriage opportunities | 15 | 4.6 |
| Otherb | 32 | 10 |
| Detection of cases of FGM | 15 | 4.7 |
| Correctly identify cases at risk of FGM | 109 | 34 |
| Attitudesc | ||
| Educate and sensitize | 285 | 88.8 |
| Condemn and report | 131 | 40.8 |
| Educate and report | 113 | 35.2 |
| Control | 114 | 35.5 |
aOf those who responded having received any training, the ones who correctly identified types of FGM and countries of prevalence
bOther combinations, don’t know and don’t answer
c“Educate and sensitize”: educate primary health professionals in FGM prevention and/or sensitize parents FGM consequences. “Condemn and report”: punitive and exemplary sentences to parents who perform FGM to their children and/or report to the authorities upon suspicion of FGM. “Educate and report”: both previous options combined. “Control”: prevent girls to travel to their country of origin as to not to take any risk and/or perform routine check-ups of the female genitalia as a measure of control up to the age of eighteen
Knowledge, attitudes and detection of cases according to gender, age and profession
| Age ( | Gender ( | Professionals ( | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ≤35 (n 43) | 36–50 (n 69) | > 50 (n 181) |
| Male (n 77) | Female (n 230) | GPs (n 123) | Paediatricians (n 25) | Nurses (n 146) | Midwives (n 11) | Social workers (n 13) |
| |||||||||||
| N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | |||
| Knowledge | ||||||||||||||||||||||
| Correctly identify | ||||||||||||||||||||||
| Concept and types of FGM | 9 | 20.9 | 16 | 23.2 | 43 | 23.8 | 17 | 22.1 | 54 | 23.5 | 29 | 23.6 | 8 | 32 | 25 | 17.1 | 8 | 72.7 | 3 | 23 | 0.001 | |
| Prevalence countries | 1 | 2.3 | 4 | 5.8 | 8 | 4.4 | 5 | 6.5 | 10 | 4.4 | 13 | 37.2 | 6 | 17.1 | 13 | 37.1 | 1 | 2.7 | 2 | 5.7 | ||
| Legislation | 8 | 18.6 | 16 | 23.2 | 59 | 32.6 | 21 | 27.3 | 66 | 28.7 | 40 | 43 | 10 | 10.7 | 33 | 35.5 | 6 | 6.5 | 3 | 3.2 | ||
| Protocol of action | 3 | 7 | 6 | 8.70 | 12 | 6.63 | 4 | 5.2 | 18 | 7.8 | 3 | 2.4 | 7 | 28.0 | 3 | 2.1 | 5 | 45.5 | 3 | 23.1 | < 0.001 | |
| Reasons for conducting FGM | < 0.001 | |||||||||||||||||||||
| Tradition and customs | 5 | 11.6 | 27 | 39.1 | 71 | 39.2 | 28 | 36.4 | 85 | 37 | 53 | 44.2 | 8 | 6.7 | 49 | 40.8 | 4 | 3.3 | 5 | 4.2 | ||
| Religious reasons | 11 | 25.6 | 5 | 7.3 | 6 | 3.3 | 5 | 6.5 | 19 | 8.3 | 8 | 33.3 | 1 | 4.2 | 15 | 62.5 | 0 | 0 | 0 | 0 | ||
| Tradition and religious reasons | 20 | 46.5 | 28 | 40.6 | 74 | 40.9 | 31 | 40.3 | 93 | 40.4 | 45 | 34.6 | 14 | 10.7 | 59 | 45.4 | 3 | 2.3 | 7 | 5.4 | ||
| Tradition and marriage opportunities | 3 | 7 | 3 | 4.4 | 9 | 5 | 4 | 5.2 | 11 | 4.8 | 5 | 33.3 | 0 | 0 | 8 | 53.3 | 2 | 13.3 | 0 | 0 | ||
| Other | 4 | 9.3 | 6 | 8.7 | 21 | 11.6 | 9 | 11.7 | 22 | 9.6 | 12 | 37.5 | 2 | 6.3 | 15 | 46.9 | 2 | 6.3 | 1 | 3.1 | ||
| Training received | 7 | 16.3 | 8 | 11.6 | 30 | 16.5 | 10 | 13 | 37 | 16.1 | 14 | 11.3 | 5 | 20 | 19 | 13 | 7 | 63.6 | 2 | 15.3 | 0.006 | |
| Proper traininga | 0 | 0 | 0 | 0 | 3 | 10 | 0 | 0 | 3 | 8.1 | 1 | 0.8 | 0 | 0 | 0 | 0 | 2 | 18.2 | 0 | 0 | < 0.001 | |
| Attitudes | ||||||||||||||||||||||
| Educate and sensitize | 39 | 90.7 | 59 | 85.5 | 163 | 90.1 | 68 | 88.3 | 206 | 89.6 | 110 | 89.4 | 24 | 96 | 124 | 84.9 | 11 | 100 | 13 | 100 | ||
| Condemn and report | 25 | 58.1 | 26 | 37.7 | 71 | 39.2 | 31 | 40.3 | 93 | 40.4 | 46 | 39.8 | 11 | 44 | 62 | 42.5 | 3 | 27.3 | 5 | 38.5 | ||
| Educate and report | 21 | 48.8 | 21 | 30.4 | 64 | 35.4 | 27 | 35.1 | 81 | 35.2 | 45 | 36.6 | 10 | 40 | 49 | 33.6 | 3 | 27.3 | 5 | 38.5 | ||
| Control | 10 | 23.3 | 30 | 43.5 | 66 | 36.5 | 28 | 36.4 | 82 | 35.7 | 46 | 37.4 | 13 | 52 | 46 | 31.5 | 2 | 18.2 | 4 | 30.8 | ||
| Detection | ||||||||||||||||||||||
| Have detected any case of FGM | 2 | 4.7 | 3 | 4.4 | 8 | 4.4 | 3 | 3.9 | 11 | 4.8 | 4 | 3.3 | 1 | 4 | 5 | 3.4 | 4 | 36.4 | 1 | 7.7 | < 0.05 | |
| Correctly identify cases at risk | 17 | 39.5 | 21 | 30.4 | 63 | 34.8 | 30 | 39 | 78 | 33.9 | 35 | 28.5 | 11 | 44 | 51 | 34.9 | 6 | 54.6 | 5 | 38.5 | ||
aOf those who responded having received any training, the ones who correctly identified types of FGM and countries of prevalence
Logistic regression model on knowledge, attitudes and detection of cases related to FGM and different independent variables
| Detection | Attitudes, Measures Proposed | Knowledge | ||||||
|---|---|---|---|---|---|---|---|---|
| Cases of FGM | Cases at risk of FGM | Educate and sensitize | Condemn and report | Educate and report | Control | Protocol of action | Correct identification of types and countries of prevalence of FGM | |
| Gender | ||||||||
| Male | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Female | 0.8 (0.19–3.30) | 0.9 (0.51–1.60) | 1.1 (0.49–2.71) | 0.9 (0.55–1.70) | 0.9 (0.55–1.74) | 1.02 (0.58–1.81) | 1.1 (0.26–4.83) | 0.7 (0.13–4.68) |
| Age (years) | ||||||||
| ≤ 35 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 36–50 | 0.4 (0.06–3.91) | 0.6 (0.29–1.55) | 0.6 (0.17–2.16) | 0.4 (0.19–0.98)* | 0.4 (0.20–1.03) | 2.8 (1.18–6.99)* | 1.003 (0.18–5.49) | – |
| > 50 | 0.6 (0.11–3.43) | 0.8 (0.41–1.69) | 0.9 (0.30–3.07) | 0.4 (0.21–0.87)* | 0.5 (0.27–1.10) | 2.1 (0.94–4.74) | 0.4 (0.08–2.24) | – |
| Professional groups | ||||||||
| FM and nursing | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Midwifery, paediatrics and gynaecology | 5.1 (1.37–19.4)* | 1.6 (0.80–3.42) | 5.5 (0.70–43.57) | 0.7 (0.37–1.66) | 0.9 (0.45–2.02) | 1.3 (0.62–2.71) | 26.38 (7.57–91.93)* | 7.4 (1.39–39.43)* |
| Social work and others | 4.6 (0.47–46.22) | 1.58 (0.47–5.26) | – | 1.1 (0.33–3.68) | 1.4 (0.44–4.88) | 1.06 (0.32–4.40) | 10.5 (1.59–70.54)* | – |
| Training | ||||||||
| Not received | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Received | 8.6 (1.14–64.9) | 0.7 (0.12–4.39) | 0.3 (0.03–3.68) | 3.5 (0.61–20.44) | 1.9 (0.36–10.08) | 0.7 (0.13–4.40) | 195.6 (13.9–2750.1)* | |
| Professions | ||||||||
| GPs | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Gynaecologists | – | – | – | – | – | – | – | – |
| Paediatricians | 2.5 (0.21–30.11) | 1.9 (0.77–4.97) | 2.1 (0.25–18.09) | 1.09 (0.44–2.70) | 1.05 (0.39–2.62) | 1.5 (0.62–3.82) | 12.9 (3.0–55.67) | 2.9 (0.24–34.82) |
| Nurses | 1.8 (0.32–11.14) | 1.6 (0.92–2.91) | 0.4 (0.20–1.13) | 0.8 (0.51–1.51) | 0.6 (0.39–1.18) | 0.8 (0.45–1.39) | 0.7 (0.13–3.63) | 0.5 (0.04–6.66) |
| Midwives | 40.8 (5.17–322.1)* | 3.3 (0.70–9.45) | – | 0.4 (0.10–1.8) | 0.5 (0.12–2.06) | 0.3 (0.07–1.78) | 26.8 (4.74–152.4)* | 16.6 (1.46–188.60)* |
| Social workers | 7.4 (0.54–102.4) | 2.5 (0.70–9.45) | – | 0.8 (0.22–3.06) | 0.9 (0.25–3.52) | 0.7 (1.19–2.71) | 6.2 (0.84–45.95) | – |
Results are expressed using Odds Ratio and CI 95% in parentheses
*p < 0.05 on comparison with the reference category