| Literature DB >> 34071054 |
Encarnación Martínez-García1,2, Verónica Montiel-Mesa3, Belén Esteban-Vilchez4, Beatriz Bracero-Alemany5, Adelina Martín-Salvador6, María Gázquez-López7, María Ángeles Pérez-Morente8, María Adelaida Alvarez-Serrano7.
Abstract
This study analysed the capacity of emergency physicians and nurses working in the city of Granada (Spain) to respond to intimate partner violence (IPV) against women, and the mediating role of certain factors and opinions towards certain sexist myths in the detection of cases. This is a cross-sectional study employing the physician readiness to manage intimate partner violence survey (PREMIS) between October 2020 and January 2021, with 164 surveys analysed. Descriptive and analytical statistics were applied, designing three multivariate regression models by considering opinions about different sexist myths. Odds ratios and 95% confidence intervals (CIs) were considered for the detection of cases. In the past six months, 34.8% of professionals reported that they had identified some cases of IPV, particularly physicians (OR = 2.47, 95% CI = 1.14-5.16; OR = 2.65, 95% CI = 1.26-5.56). Those who did not express opinions towards sexist myths related to the understanding of the victim or the consideration of alcohol/drug abuse as the main causes of violence and showed a greater probability of detecting a case (NS) (OR = 1.26 and OR = 1.65, respectively). In order to confirm the indicia found, further research is required, although there tends to be a common opinion towards the certain sexual myth of emergency department professionals not having an influence on IPV against women.Entities:
Keywords: emergency department; healthcare professionals; intimate partner violence; multivariate analysis; readiness
Year: 2021 PMID: 34071054 PMCID: PMC8197153 DOI: 10.3390/ijerph18115568
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Definition of the variables derived from the Spanish version of the PREMIS survey.
| Section | Items | Variables | Type of Variable |
|---|---|---|---|
| Respondent profile | Age in years, gender, professional category, and years worked in emergencies | Age (dichotomic) | Independent |
| Gender: Male/female | Independent | ||
| Professional category: Medicine/Nursery | Independent | ||
| How much previous training about IPV issues have you had? | Time worked (dichotomic) | Independent | |
| Protocol read (no/yes) | Independent | ||
| Basic training (≤20 h) (no/yes) | Independent | ||
| Knowledge | The strongest single factor for becoming a victim | Real knowledge: Gender/female + they use violence as a means of controlling their partners (no/yes) | Independent |
| True statements about batterers | |||
| Opinion scales | If victims of abuse remain in the relationship after repeated episodes of violence, they must accept responsibility for that violence | Victim understanding: Quantitative or qualitative (sexist/nonsexist attitudes) | Independent |
| Victims of abuse could leave the relationship if they wanted to | |||
| If an IPV victim does not acknowledge the abuse, there is very little that I can do to help | |||
| If a patient refuses to discuss the abuse, staff can only treat the patient´s injuries | |||
| Healthcare providers have a responsibility to ask all patients about IPV | |||
| Screening for IPV is likely to offend those who are screened | |||
| Patients who abuse alcohol or other drugs are likely to have a history of IPV | Alcohol/drugs: Quantitative or qualitative (sexist/nonsexist attitudes) | Independent | |
| Alcohol abuse is a leading cause of IPV | |||
| Use of alcohol or other drugs is related to IPV victimisation | |||
| Healthcare providers do not have the time to assist patients in addressing IPV | Constraints: Quantitative or qualitative (sexist/nonsexist attitudes) | Independent | |
| I am too busy to participate in a multidisciplinary team that manages IPV cases | |||
| Practice issues | In the past 6 months, which of the following actions did you take when you identified IPV: Did not identify IPV in past 6 months | Detection of IPV in the past 6 months (no/yes) | Dependent |
| Check the situations listed in which you currently screen for IPV | Screening * |
* Descriptive analysis.
Sociodemographic and employment characteristics and training received by participating healthcare personnel (N = 164).
| Variable | Percentage |
|---|---|
| Sex | |
| Man | 25 |
| Woman | 75 |
| Professional category | |
| Medicine | 33.5 |
| Nursery | 66.5 |
| Age in years | |
| Mean (SD) | 41.48 (10.8) |
| (range) median | (22–63) 40 |
| ≤40 | 51.2 |
| >40 | 48.8 |
| Years of experience in emergencies ( | |
| Mean (SD) | 7.27 (8.3) |
| (range) median | (0–37) 3.9 |
| ≤4 years | 54.9 |
| >4 years | 42.7 |
| Training | |
| None | 25 |
| Protocol read | 39.6 |
| Basic ≤20 h | 28 |
Actual knowledge and practice issues about IPV in the past six months.
| Items | Percentage |
|---|---|
| The strongest single risk factor for becoming a victim: | |
| Age (<30 years) | 3 |
| Partner abuses alcohol/drugs | 42.7 |
| Gender/female | 42.1 |
| Family history of abuse | 36 |
| Is generally true about batterers: | |
| They have trouble controlling their anger | 32.9 |
| They use violence as a means of controlling their partners | 73.8 |
| They are violent because they drink or use drugs | 10.4 |
| They pick fights with anyone | 2.4 |
| Real knowledge: | |
| Gender/female + they use violence as means of controlling their partners | 35.4 |
| Diagnoses of IPV you made in the past 6 months: | |
| None | 65.2 |
| Screening (among those who detected cases n = 63): | |
| All patients with abuse indicators on history or exam | 54.9 |
| Depressed/suicidal women | 31.1 |
| Every woman | 1.2 |
Opinion scales by the professional category and sex.
| Opinion Scales | Medicine | Nursing | Percentage of Professionals with Favourable Opinions | ||||
|---|---|---|---|---|---|---|---|
| Men | Women |
| Men | Women |
| ||
| Victim understanding (Mean, SD) | 5.27, 0.78 | 5, 1.20 | 0.352 | 5.04, 1.28 | 5.15, 1.06 | 0.701 | 96.3 |
| Alcohol/Drugs (Mean, SD) | 4.22, 0.85 | 3.76, 0.82 | 0.049 | 4.12, 1.03 | 4.13, 0.73 | 0.958 | 85.4 |
| Constraints (Mean, SD) | 5.27, 0.78 | 5, 1.20 | 0.352 | 5.04, 1.28 | 5.15, 1.06 | 0.701 | 76.8 |
SD: Standard deviation.
Multiple logistic regression models of each opinion to detect IPV cases.
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| aOR * | 95%CI | aOR * | 95%CI | aOR * | 95%CI | |
| Sex: | ||||||
| Women | 1 | - | 1 | - | 1 | - |
| Man | 1.19 | 0.53–2.61 | 1.21 | 0.54–2.69 | 1.17 | 0.53–2.60 |
| Age: | ||||||
| ≤40 years old | 1 | - | 1 | - | 1 | - |
| > 40 years old | 1.47 | 0.73–2.95 | 1.56 | 0.76–3.17 | 1.48 | 0.73–2.99 |
| Professional category: | ||||||
| Nursery | 1 | - | 1 | - | 1 | - |
| Medicine | 2.58 | 1.24–5.38 ** | 2.47 | 1.19-5.16 ** | 2.65 | 1.26–5.56 ** |
| Time worked: | ||||||
| ≤4 years | 1 | - | 1 | - | 1 | 1 |
| >4 years | 0.90 | 0.16–5.15 | 0.94 | 0.16–5.36 | 1.25 | 0.21–7.15 |
| Protocol read: | ||||||
| No | 1 | - | 1 | - | 1 | - |
| Yes | 1.92 | 0.95–3.89 | 1.98 | 0.97–4.03 | 1.91 | 0.95–3.86 |
| Basic training <20 h: | ||||||
| No | 1 | - | 1 | - | 1 | - |
| Yes | 1.20 | 0.57–2.56 | 1.21 | 0.57–2.59 | 1.17 | 0.55–2.50 |
| Real knowledge: | ||||||
| No | 1 | - | 1 | - | 1 | - |
| Yes | 0.54 | 0.26–1.15 | 0.53 | 0.2–1.12 | 0.53 | 0.25–1.13 |
| Opinions: | ||||||
| Favourable | 1 | - | 1 | - | 1 | - |
| Unfavourable | 1.26 | 0.19–8.38 | 1.65 | 0.64–4.35 | 0.78 | 0.34–1.78 |
* aOR: Adjusted odds ratio; CI: Confidence interval; ** p < 0.05.