Abstract
Introduction:
Intimate partner violence (IPV) is most prevalent among women of reproductive age and can have lifelong consequences. Screening within healthcare settings represents a promising first step toward addressing IPV, with healthcare providers playing a central role in this response. A lack of healthcare provider readiness to screen for IPV may leave victims vulnerable to continued physical, psychological, sexual, and reproductive health problems. This study aimed to assess the readiness of healthcare providers to screen for IPV and to identify factors affecting screening practices in obstetrics and gynecology units of referral hospitals in Amhara regional state, Ethiopia.
Methods:
An institution-based cross-sectional study was conducted between 9 January and 4 February 2023. A simple random sampling technique was employed to select study participants. A pilot study was conducted to assess the reliability and construct validity of the tool, and data were collected using a self-administered questionnaire. The data were entered into EPI-Data version 4.6 and analyzed using STATA version 14. Bivariable and multivariable logistic regression models were applied to identify associated factors.
Result:
From 409 study participants, 46.5% [95% confidence interval (CI): 42–51] were ready to screen for IPV among reproductive-aged women. Being male [adjusted odds ratio (AOR) = 1.64, 95% CI: 1.03–2.61], trained in IPV (AOR = 2.84, 95% CI: 1.64–4.94), favorable attitude toward IPV screening (AOR = 2.21, 95% CI: 1.42–3.44), good knowledge of IPV (AOR = 2.23, 95% CI: 1.42–3.50), and availability of IPV guidelines in their working area (AOR = 1.74, 95% CI: 1.07–2.81) were found to be significantly associated factors with healthcare providers’ readiness to screen for IPV.
Conclusion:
In this study, fewer than half of the healthcare providers were found to be ready to screen for IPV. Factors that significantly influenced their readiness included the availability of training on IPV, positive attitudes toward IPV screening, adequate knowledge about IPV, and access to IPV screening guidelines within their work environment.
Introduction
Intimate partner violence (IPV) is a preventable public health issue () that encompasses physical violence, sexual violence (SV), stalking, and psychological harm inflicted by a current or former intimate partner (). It affects millions of women globally, regardless of age, economic status, race, religion, ethnicity, or educational background. Although IPV can affect women of all ages, it is more common among those of reproductive age and is associated with gynecological disorders and pregnancy complications (). Globally, one in three women experiences physical and/or sexual violence by an intimate partner, or sexual violence by a non-partner, at some point in her life ().
The World Health Organization (WHO) multi-country study on women’s health and domestic violence undertaken in developing settings, including Ethiopia, confirmed that physical and sexual partner violence against women is widespread, with prevalence in the range of 15%–71% (). In sub-Saharan Africa, the lifetime prevalence of IPV is 37%, making it one of the world’s most seriously impacted regions (). In Ethiopia, more than one-third of ever-married women had been subjected to IPV by their husbands or partners at some point in their lives, and in the Amhara region, IPV is prevalent in 35% of women ().
Although IPV rates vary across low-, middle-, and high-income regions, its health consequences are similar worldwide (). IPV has lifelong repercussions, including emotional trauma, lasting physical impairment, chronic health conditions, and even death. It is also linked to sexually transmitted infections, unplanned pregnancies, and unsafe abortions, which are serious public health consequences of IPV (). During pregnancy, IPV can lead to miscarriage, premature labor and delivery, low birth weight, maternal depression, delaying prenatal care, insufficient weight gain during pregnancy, substance abuse, and reduced breastfeeding rates (). Furthermore, children born to mothers who experience IPV face higher risks of poor growth and development, contributing to increased under-5 mortality rates ().
The 2030 Sustainable Development Agenda identifies the elimination of all forms of violence against women and girls in the public and private spheres as a key target (). In addition, the Ethiopian Strategic Plan from 2021 to 2025 stated that improving health workers’ competency in the prevention of and response to gender-based violence/SV (GBV/SV) is a crucial output in making the health system more responsive ().
According to the American College of Obstetricians and Gynecologists (ACOG), all patients should be screened during annual examinations, family planning, and preconception visits. Screening for pregnant women should take place at various times throughout the pregnancy, including the initial prenatal visit, at least once per trimester, and at the postpartum checkup (). In addition, the United States Preventive Services Task Force (USPSTF) and the American Nurses Association (ANA) also recommend screening all women of childbearing age for IPV and providing services for those who screen positive (). However, studies indicated that IPV screening is not always done by healthcare providers (HCPs), often because of insufficient preparedness ().
A HCP is likely to be the first professional contact for victims of IPV, especially obstetrics and gynecology (OBY/GYN) healthcare providers, who serve a vital role in women’s healthcare and have a unique opportunity to identify and support women experiencing IPV. This is because the nature of the patient–provider relationship holds ample opportunity for interventions (, ). Women often attend multiple visits during preconception, pregnancy, and postpartum care. These visits typically involve routine discussions about a wide range of health issues, including reproductive, sexual, and mental health, creating an ongoing opportunity for providers to identify IPV and offer help in a safe and confidential environment (). Moreover, incorporating IPV screening and intervention into OBY/GYN practice aligns with global and national health priorities, including the Sustainable Development Goals (SDGs) and Ethiopia’s Health Sector Transformation Plan, both of which prioritize maternal and child health. By addressing IPV within these units, HCPs not only support the immediate safety and wellbeing of mothers and infants but also contribute to long-term improvements in family health and stability (, ).
Screening is a promising first step toward addressing the issue of IPV in healthcare settings (). A lack of healthcare provider readiness to screen for IPV may leave victims vulnerable to continued physical, psychological, sexual, and reproductive health issues (). Despite the fact that adequate knowledge, attitudes, and skills regarding injury treatment, referral systems, and legal rights information are critical for the early detection and intervention of IPV (), the majority of HCPs do not see IPV assessment and management as part of their role, and most believe they lack knowledge about what questions to ask or how to respond if a woman reports being abused, as well as skills in the area of IPV (). Different evidence showed that HCPs’ sociodemographic characteristics, knowledge of IPV, attitudes toward IPV screening, and healthcare facility setting affect their readiness to screen for IPV (Figure 1) (–).
Figure 1
Despite being a widespread and critical public health issue in Ethiopia – with studies indicating that the study area has one of the highest IPV prevalence rates (
Methods
Study design, setting, and period
An institution-based cross-sectional study was conducted between 9 January and 4 February 2023. The study was conducted in referral hospitals in Amhara regional state, one of 11 national states in Ethiopia. Amhara has eight referral hospitals, namely University of Gondar Comprehensive Specialized Hospital (UOGCSH), Felege Hiwot Referral Hospital (FHRH), Tibebe Gion Comprehensive Specialized Hospital (TGCSH), Dessie Referral Hospital (DRH), Debre-Markos Comprehensive Specialized Hospital (DMCSH), Debre Birhan Referral Hospital (DBRH), Debre Tabor Comprehensive Specialized Hospital (DTCSH), and Woldiya Referral Hospital (WRH). Each referral hospital’s catchment population is estimated to be 5–7 million people (
Study population and eligibility criteria
Source population
All healthcare providers working in the OBY/GYN unit in Amhara regional state referral hospitals were included in the study.
Study population
All healthcare providers working in the OBY/GYN unit in Amhara regional state referral hospitals were available during the data collection period.
Inclusion criteria
The inclusion criteria included healthcare providers, working in the OBY/GYN unit in Amhara regional state referral hospitals for at least 6 months.
Exclusion criteria
The exclusion criteria were healthcare providers from the OBY/GYN unit who were on maternity leave, on long- or short-term training, and on sick leave during the data collection period.
Sample size determination
The sample size was determined using the single population proportion formula by considering the following assumptions: the proportion of healthcare providers who are ready to screen for intimate partner violence is 50% (since there was no previous study), a 95% confidence level, and a 5% margin of error:where n is the desirable sample size, Z is the standard normal distribution curve value for the 95% confidence level = 1.96, P is the proportion of readiness to screen for intimate partner violence against reproductive-aged women among healthcare providers, and d is the margin of error. Assuming a 10% non-response rate, the minimum adequate sample size was 423.
Sampling procedure
All eight referral hospitals in Amhara regional state were included. The sample size was proportionally allocated for each referral hospital. Lastly, healthcare providers working in the OBY/GYN unit were selected by a simple random sampling technique using the lottery method with their lists as a sampling frame.
Study variables
Outcome variable
The outcome variable was the readiness of healthcare providers’ working in the OBY/GYN unit to screen for IPV.
Independent variables
Independent variables were as follows: sociodemographic factors, including age, gender, marital status, religion, profession, level of education, work experience; knowledge of healthcare providers about IPV; attitude of healthcare providers toward IPV screening; and health setting factors (availability of IPV guidelines, registration mechanisms for IPV cases, training on IPV).
Operational definition
Intimate partner violence
IPV is defined as physical and/or sexual and/or psychological violence committed to women by boyfriends, cohabitants, and husbands (
Readiness to screen for IPV
Readiness to screen for IPV was measured using the Domestic Violence Healthcare Provider Survey Scale (DVHCPSS) instrument, which has the following domains: “perceived self-efficacy,” “professional role resistance/fear of offending the patient,” “blame victim,” “system support,” and “victim/provider safety” (
“Perceived self-efficacy” (six items) assesses HCPs’ own perceived efficacy in inquiring about IPV, and the higher the individual score, the higher the perceived self-efficacy (
“System support” (four items) assesses HCPs’ access to and confidence in the availability of social and psychiatric support services. A higher individual score indicates greater perceived system support (
“Professional role resistance/fear of offending clients” (six items) assesses HCPs’ opinions on whether inquiries about IPV may conflict with ethical issues governing their communication with clients. A higher individual score indicates greater resistance or fear of offending the patient (
“Victim blame” (five items) assesses HCPs’ attitudes toward victims, and the higher the individual score, the higher the propensity to blame the victim (
“Victim/provider safety” (seven items) assesses HCPs’ perception on whether inquiring about IPV from batterers would further jeopardize victim/care provider safety, and the higher the individual score, the lower the concerns about victim/provider safety (
Good knowledge about IPV
Healthcare providers were considered to have good knowledge about IPV if their scores on the knowledge-related questions were at or above the mean.
Favorable attitude toward IPV screening
HCPs were considered to have favorable attitudes toward IPV screening if their scores on the attitude-related questions were at or above the mean.
Data collection tools and procedures
A pilot-tested, self-administered questionnaire adapted from various studies (
The DVHCPSS tool, which has been previously validated in different developing countries, was used to assess readiness to screen for IPV (
Furthermore, negatively phrased questions to assess the attitude and knowledge of HCPs were also reversely recoded.
The data were collected by eight BSc midwives, with the data collection process carefully supervised by three MSc midwives. One-day training was provided for the data collectors and supervisors to ensure they understood the study’s purpose, procedures, and data collection techniques. The session began with an explanation of the study’s aim and its significance in assessing healthcare providers’ readiness to screen for IPV, emphasizing the importance of their role in this process. The study procedures were then outlined, ensuring they understood the ethical considerations such as informed consent and confidentiality. The data collectors were trained on how to administer the DVHCPSS tool and how to check with participants as soon as possible to complete any missing and unclear responses, with a focus on consistency and accuracy in assessing healthcare providers’ readiness. The supervisors also provided training on how to closely monitor the data collection process and its completeness. To reinforce their learning, we conducted role-playing exercises where they practiced using the tool in mock scenarios, addressing any challenges they might face. The training concluded with a question and answer session to clarify any doubts, followed by an evaluation to ensure they were fully prepared to conduct data collection effectively and ethically.
Data quality control
The questionnaire and consent documents were translated from English to Amharic and then retranslated back to English to ensure its consistency. A pretest was carried out on 5% of the sample size at Motta General Hospital to check the response, language clarity, and comprehension of the items. A pilot study was then conducted in Injibara and Finote Selam General Hospitals to check the tool’s construct validity and reliability, since the DVHCPSS tool for measuring healthcare providers’ readiness to screen for IPV was not validated among Ethiopian HCPs. Even if the tool was validated in other countries, it may not be reliable and valid in Ethiopia due to sociocultural and socioeconomic differences. To ensure high data quality during data collection, each data collector and supervisor received comprehensive training on the study objectives, data collection tool, and procedures. The supervisor conducted daily checks on completed questionnaires to verify completeness and address any missing or unclear responses promptly.
Reliability and validity of the tool
Some studies conduct a pilot study on 10%–12% of the sample size (
By proportionally allocating the formula, 24 participants were from Injibara General Hospital and 19 participants from Finote Selam General Hospital. A total of 42 healthcare providers (response rate of 97.7%) working in the OBY/GYN unit participated in the pilot study.
In the confirmatory factor analysis conducted during the pilot study, the construct validity and reliability of the tool were checked.
The convergent and discriminatory validity of DVHCPSS was examined. Its convergent validity was checked to assess the level of correlation of the observed item with other measures of the same construct, while its discriminant validity was assessed to ensure that the constructs actually differ from one another to indicate they are not measuring the same thing (
Items with a factor loading of at least 0.30 and significant factors were considered (
The majority of the items in the original DVHCPSS exhibited significant factor loading except for the following items from different domains: one item from the perceived self-efficacy domain (I don’t have the time to ask about IPV in my practice), one item from the professional role resistance/fear of offending the patient domain (It is not my place to interfere with how a couple chooses to resolve conflicts), two items from the blame victim domain (People are only victims if they choose to be) and (When it comes to IPV victimization, it usually “two to tango”), and three items from the victim/provider safety domain (I feel I can discuss issues of battering and abuse with a battering patient without further endangering the victim), (I feel I can effectively discuss issues of battering and abuse with a battering patient), and (I feel there are ways of asking about battering behavior without placing myself at risk).
As a result, 7 items were removed from the total of 35, while 28 items have a value of more than 0.3 and significant factors loading in their corresponding domains.
The results for the convergent validity of the domains are as follows: perceived self-efficacy (AVE = 0.51), professional role resistance (AVE = 0.51), blaming the victim (AVE = 0.5), system support (AVE = 0.5), and victim/provider safety (AVE = 0.5). These results show that all domains are convergent validated (Table 1).
Table 1
| Item | Item description | Item-factor loading | Alpha if the item deleted |
|---|---|---|---|
| Perceived self-efficacy domain | |||
| 1 | There are strategies I can use to encourage batterers to seek help. | 0.80 | 0.82 |
| 2 | There are strategies I can use to help victims of IPV change their situation. | 0.62 | 0.84 |
| 3 | I feel confident that I can make appropriate referrals for batterers. | 0.84 | 0.82 |
| 4 | I feel confident that I can make the appropriate referrals for abused patients. | 0.73 | 0.84 |
| 5 | I have ready access to information detailing management of IPV. | 0.53 | 0.85 |
| 6 | There’re ways I can ask batterers about their behavior that will minimize risk to the potential victim | 0.70 | 0.83 |
| Overall Cronbach’s alpha | 0.86 | ||
| AVE | 0.51 | ||
| Professional role resistance/fear of offending the patients domain | |||
| 7 | Asking patients about IPV is an invasion of their privacy. | 0.88 | 0.79 |
| 8 | It is demeaning to patients to question them about abuse. | 0.86 | 0.79 |
| 9 | If I ask non-abused patients about IPV, they will get very angry. | 0.58 | 0.84 |
| 10 | I am afraid of offending the patient if I ask about IPV. | 0.59 | 0.83 |
| 11 | I think that investigating the underlying cause of a patient’s injury is not part of medical care. | 0.68 | 0.83 |
| 12 | If patients do not reveal abuse to me, then it is none of my business. | 0.62 | 0.82 |
| Overall Cronbach’s alpha | 0.84 | ||
| AVE | 0.51 | ||
| Blame victim domain | |||
| 13 | A victim must be getting something out of the abusive relationship, or else she would leave. | 0.77 | 0.74 |
| 14 | I have patients whose personalities cause them to be abused. | 0.67 | 0.74 |
| 15 | Women who choose to step out of traditional roles are a major cause of IPV. | 0.69 | 0.75 |
| 16 | The victim’s passive-dependent personality often leads to abuse. | 0.68 | 0.76 |
| 17 | The victim has often done something to bring about violence in the relationship. | 0.65 | 0.75 |
| Overall Cronbach’s alpha | 0.79 | ||
| AVE | 0.5 | ||
| System support domain | |||
| 18 | I have ready access to social workers or community advocates to assist in the management of IPV. | 0.59 | 0.77 |
| 19 | I feel that social work personnel can help manage IPV patients. | 0.78 | 0.69 |
| 20 | I have ready access to mental health services should our patients need referrals. | 0.69 | 0.73 |
| 21 | I feel that the mental health services at my clinic or agency can meet the needs to IPV victims. | 0.74 | 0.73 |
| Overall Cronbach’s alpha | 0.78 | ||
| AVE | 0.50 | ||
| Victim/provider safety domain | |||
| 22 | There is no way to ask batterers about their behaviors without putting the victims in more danger. | 0.62 | 0.84 |
| 23 | I am afraid if I talk to the batterer, I will increase risk for the victim. | 0.84 | 0.81 |
| 24 | I feel it is best to avoid dealing with the batterer out of fear and concern for the victim’s safety. | 0.72 | 0.83 |
| 25 | I am reluctant to ask batterers about their abusive behavior out of Concern for my personal safety. | 0.65 | 0.83 |
| 26 | There is not enough security at my work place to safely permit discussion of IPV with batterers. | 0.55 | 0.84 |
| 27 | I am afraid of offending patients if I ask about their abusive behavior. | 0.72 | 0.82 |
| 28 | When challenged, batterers frequently direct their anger toward healthcare providers. | 0.62 | 0.84 |
| Overall Cronbach’s alpha | 0.85 | ||
| AVE | 0.5 | ||
Internal reliability, alpha if item deleted, and item-factor loading for each subscale of the DVHCPSS tool used to measure healthcare providers’ readiness to screen for IPV among reproductive-aged women in Amhara regional state referral hospitals, 2023.
To determine the discriminatory validity, the square root of each construct’s AVE should exceed its correlation with other constructs (
Table 2
| Factors | Perceived self-efficacy | Professional role resistance/fear of offending the patients | Blame victim | System support | Victim/provider safety |
|---|---|---|---|---|---|
| Perceived self-efficacy | 1.000 | ||||
| Professional role resistance/fear of offending the patients | −0.108 | 1.000 | |||
| Blame victim | 0.090 | 0.192 | 1.000 | ||
| System support | 0.196 | −0.144 | 0.006 | 1.000 | |
| Victim/provider safety | 0.186 | 0.315 | 0.245 | 0.279 | 1.000 |
Spearman rank correlation between DVHCPSS tool domains used to measure healthcare providers’ readiness to screen for IPV among reproductive-aged women in Amhara regional state referral hospitals, 2023.
The internal reliability of the DVHCPSS tool was measured using Cronbach’s alpha coefficient for each domain. This coefficient measures reliability based on the interrelationship among observed item variables designed to measure a single construct. A Cronbach’s alpha value greater than 0.7 was considered significant, indicating adequate internal reliability (
Cronbach’s alpha coefficient for the overall DVHCPSS tool was 0.81. Each subscale (domain) demonstrated acceptable internal reliability in the range of 0.78–0.86. The alpha values for the domain items were in the range of 0.82–0.85 for perceived self-efficacy, 0.79–0.84 for professional role resistance, 0.74–0.76 for blaming the victim, 0.69–0.77 for system support, and 0.81–0.84 for victim/provider safety (Table 1).
Data processing and analysis
The collected data were manually checked for completeness, and incomplete data were excluded from the analysis. Then, the data were coded, recoded, and entered into EPI-Data version 4.6 and exported to STATA 14 for analysis. Frequencies, proportions, and summaries of descriptive statistics were employed to describe the study population in relation to relevant variables.
A binary logistic regression model was fitted to identify independent variables associated with the outcome. Variables with a p-value of ≤0.25 in the bivariable analysis were proceeded to the multivariable logistic regression to handle the effect of possible confounders. The Hosmer–Lemeshow test was used to assess how well the logistic regression model fit the observed data, producing a non-significant p-value (p > 0.05), indicating that the model provided an adequate fit to the data. In multivariable analysis, a p-value of ≤0.05 with a 95% confidence interval (CI) for odds ratio was used to determine significant association.
Ethical considerations
Ethical clearance was obtained from the University of Gondar’s School of Midwifery’s ethical review committee (reference number MIDW/30/2015). A written permission letter was also received from hospital managers and ward coordinators in the study settings. Before data collection began, the study participants were informed about the objective and purpose of the study. They were assured that their participation was completely voluntary and that all information would be kept strictly confidential. Participants were approached individually and provided with detailed information about the study. Written informed consent was then obtained from each study participant. No incentives were provided for participation. To preserve confidentiality, the data were not exposed to any third party except the investigators. All necessary methods were carried out in accordance with ethical guidelines and regulations.
Results
Sociodemographic characteristics of study participants
From a total of 423 samples, 409 HCPs in the OBY/GYN unit completed the questionnaire, with a response rate of 96.7%. Out of the 14 non-respondents, 9 healthcare providers declined to participate and 5 withdrew after initially agreeing, providing only sociodemographic data without completing the main survey. The participants did not disclose the specific reasons for either their refusal or withdrawal. Efforts were made to encourage participation, such as offering further clarification of the study’s objectives and assuring confidentiality (Figure 2).
Figure 2

Flow diagram of participant recruitment and response.
Of the respondents, 6/10 (59.9%) were male. The mean age of the respondents was 29.9 ± 3.621 years and the mean work experience was 5.74 ± 2.963 years. Regarding the respondents’ marital status and religion, 252 (61.6%) were married and 326 (79.7%) were followers of the orthodox religion. Of the participants, three-quarters (75.3%) and 328 (80.2%) were midwives and bachelor degree holders, respectively. Most of the study participants (n = 327, 80%) had not received training related to intimate partner violence (Table 3).
Table 3
| Variable | Category | Frequency | Percentage |
|---|---|---|---|
| Gender | Male | 245 | 59.9 |
| Female | 164 | 40.1 | |
| Total | 409 | 100 | |
| Age | ≤30 years | 270 | 66 |
| 30–40 years | 133 | 32.5 | |
| ≥40 years | 6 | 1.5 | |
| Total | 409 | 100 | |
| Religion | Orthodox | 326 | 79.7 |
| Muslim | 50 | 12.2 | |
| Protestant | 33 | 8.1 | |
| Total | 409 | 100 | |
| Marital status | Single | 157 | 38.4 |
| Married | 252 | 61.6 | |
| Total | 409 | 100 | |
| Profession | General practitioner | 56 | 13.7 |
| Midwife | 308 | 75.3 | |
| Nurse | 45 | 11 | |
| Level of education | Masters | 41 | 10 |
| Bachelor | 328 | 80.2 | |
| Diploma | 40 | 9.8 | |
| Total | 409 | 100 | |
| Work experience | ≤5 years | 214 | 52.3 |
| 5–10 years | 172 | 42.1 | |
| ≥11 years | 23 | 5.6 | |
| Total | 409 | 100 | |
| Trained on IPV | Yes | 82 | 20 |
| No | 327 | 80.0 |
Sociodemographic characteristics of healthcare providers working in OBY/GYN units in Amhara regional state referral hospitals, 2023 (n = 409).
Attitudes of HCPs working in OBY/GYN unit toward screening for IPV among women of reproductive age
Nearly two-thirds (63.6%) of the study participants agreed that screening for IPV could lead to the identification of patients who experienced IPV. Of the study participants, 98 (24%) strongly agreed that dealing with IPV is relevant not only to healthcare but also to the fields of law enforcement and justice.
Of the respondents, 178 (43.5%) agreed that victims of IPV would deny they were affected if they were asked about the issue (Table 4). About half (n = 210, 51.3%) of the study respondents had favorable attitudes toward intimate partner violence screening among the reproductive-aged women.
Table 4
| Questions | Strongly disagree | Disagree | Neutral | Agree | Strongly agree | Total |
|---|---|---|---|---|---|---|
| Screening for IPV could lead to identification of patients experiencing of IPV | 24 (5.9%) | 48 (11.7%) | 28 (6.8%) | 260 (63.6%) | 49 (12.0%) | 409 (100%) |
| It is not important to screen for IPV because it is socially accepted problem | 82 (20.1%) | 183 (44.7%) | 34 (8.3%) | 100 (24.5%) | 10 (2.4%) | 409 (100%) |
| If asked, most victims of violence will deny exposure | 27 (6.6%) | 121 (29.6%) | 63 (15.4%) | 178 (43.5%) | 20 (4.9%) | 409 (100%) |
| Asking about IPV may seem offensive to most victims of violence | 29 (7.1%) | 128 (31.3%) | 57 (13.9%) | 183 (44.7%) | 12 (2.9%) | 409 (100%) |
| Screening for IPV can put abused cases in more danger | 58 (14.2%) | 156 (38.1%) | 65 (15.9%) | 119 (29.1%) | 11 (2.7%) | 409 (100%) |
| IPV is normal among couples going through marital difficulties | 61 (14.9%) | 197 (48.2%) | 56 (13.7%) | 84 (20.5%) | 11 (2.7%) | 409 (100%) |
| Healthcare professionals do not have any role except treating physical injuries caused by IPV | 99 (24.2%) | 229 (56.0%) | 28 (6.8%) | 42 (10.3%) | 11 (2.7%) | 409 (100%) |
| A women should tolerate violence to keep her family together | 92 (22.5%) | 161 (39.4%) | 62 (15.2%) | 79 (19.3%) | 15 (3.7%) | 409 (100%) |
| Dealing with violence is pertinent not only to the fields of police and justice, but also to health | 21 (5.1%) | 23 (5.6%) | 18 (4.4%) | 249 (60.9%) | 98 (24.0%) | 409 (100%) |
Attitudes of HCPs working in OBY/GYN units toward screening for IPV among women of reproductive age in Amhara regional state referral hospitals, 2023 (n = 409).
Knowledge of HCPs working in OBY/GYN unit toward screening for IPV
Most of the study participants (92.7%) noticed that IPV could occur in all settings, among all socioeconomic, religious, and cultural groups. Of the respondents, 7/10 (71.9%) reported that sexual intercourse without a woman’s permission because of fear of a partner is IPV (Table 5). Approximately 3/5 (58.4%) study participants had good knowledge of IPV.
Table 5
| Questions | Yes | No | Total |
|---|---|---|---|
| IPV can occur in all settings, among all socioeconomic, religious and cultural groups | 379 (92.7%) | 30 (7.3%) | 409 (100%) |
| Being slapped, pushed, shoved or pulled, hit, choked or burnt on purpose is IPV | 330 (80.7%) | 79 (19.3%) | 409 (100%) |
| Being physically forced to have sexual intercourse when a woman did not want to is IPV | 280 (68.5%) | 129 (31.5%) | 409 (100%) |
| Sexual intercourse when a woman did not want to because of fear of a partner is IPV | 294 (71.9%) | 115 (28.1%) | 409 (100%) |
| Being forced to do something sexual that is degrading or humiliating is IPV | 292 (71.4%) | 117 (28.6%) | 409 (100%) |
| Insulting, humiliating in front of other people, scare or intimidate her on purpose, threatened to hurt someone she cared about is IPV | 331 (80.9%) | 78 (19.1%) | 409 (100%) |
| IPV might be caused by alcohol drinking | 342 (84.8%) | 62 (15.2%) | 409 (100%) |
| IPV never happens during pregnancy | 82 (20%) | 327 (80%) | 409 (100%) |
| IPV in pregnancy cannot cause adverse health outcome for the pregnant woman or baby | 110 (26.9%) | 299 (73.1%) | 409 (100%) |
| We cannot suspect IPV unless we see physical signs/injuries and bruises | 85 (20.8%) | 324 (79.2%) | 409 (100%) |
Knowledge of HCPs working in OBY/GYN units about IPV in Amhara regional state referral hospitals, 2023 (n = 409).
Healthcare providers’ responses to health setting factors in OBY/GYN unit
Less than one-third (27.9%) of the study respondents outlined the presence of intimate partner violence guidelines in their working environment. Of the study participants, 120 (29.3%) mentioned the presence of posters, brochures, or flyers to provide information about IPV, which helps maintain a sense of autonomy in how to discuss violence with a patient in their working area, and 298 (72.9%) mentioned the presence of a registration mechanism for IPV cases.
Healthcare providers’ readiness and response to DVHCPSS domains in OBY/GYN units
Of the study participants, 190 (46.5%) (95% CI: 42–51) were ready to screen for intimate partner violence against reproductive-aged women.
More than half (51.3%) of the study participants scored below the mean value of perceived self-efficacy domain items. Of the participants, 223 (54.5%) had professional role resistance/fear of offending the patient, and nearly half (49.6%) blamed the victim for being abused (Table 6).
Table 6
| Variable | Ready | Not ready | Total | |||
|---|---|---|---|---|---|---|
| Ready to screen IPV against reproductive-aged women | 190 (46.5%) | 219 (53.5%) | 409 (100%) | |||
| Items of DVHCPSS domains | Strongly disagree | Disagree | Neutral | Agree | Strongly agree | Total |
| Perceived self-efficacy domain | ||||||
| There are strategies I can use to encourage batterers to seek help | 41 (10.0%) | 118 (28.9%) | 65 (15.9%) | 140 (34.2%) | 45 (11.0%) | 409 (100%) |
| There are strategies I can use to help victims of IPV change their situation | 31 (7.6%) | 119 (29.1%) | 84 (20.5%) | 145 (35.5%) | 30 (7.3%) | 409 (100%) |
| I feel confident that I can make appropriate referrals for batterers | 18 (4.4%) | 97 (23.7%) | 57 (13.9%) | 191 (46.7%) | 46 (11.3%) | 409 (100%) |
| I feel confident that I can make the appropriate referrals for abused patients | 14 (3.4%) | 89 (21.8%) | 41 (10.0%) | 212 (51.8%) | 53 (13.0%) | 409 (100%) |
| I have ready access to information detailing management of IPV | 62 (15.2%) | 166 (40.6%) | 96 (23.5%) | 71 (17.4%) | 14 (3.4%) | 409 (100%) |
| There’re ways I can ask batterers about their behavior that will minimize risk to the potential victim | 42 (10.3%) | 161 (39.4%) | 114 (27.8%) | 84 (20.5%) | 8 (2.0%) | 409 (100%) |
| Professional role resistance/fear of offending the patients domain | ||||||
| Asking patients about intimate partner violence is an invasion of their privacy. | 114 (27.9%) | 189 (46.2%) | 49 (12.0%) | 47 (11.5%) | 10 2.4%) | 409 (100%) |
| It is demeaning to patients to question them about abuse. | 138 (33.7%) | 188 (46.0%) | 35 (8.6%) | 46 (11.3%) | 2 (0.5%) | 409 (100%) |
| If I ask non-abused patients about IPV, they will get very angry. | 53 (13.0%) | 164 (40.1%) | 103 (25.2%) | 83 (20.3%) | 6 (1.4%) | 409 (100%) |
| I am afraid of offending the patient if I ask about IPV. | 58 (14.2%) | 206 (50.4%) | 45 (11.0%) | 93 (22.7%) | 7 (1.7%) | 409 (100%) |
| I think that investigating the underlying cause of a patient’s injury is not part of medical care. | 129 (31.5%) | 233 (57.0%) | 15 (3.7%) | 26 (6.4%) | 6 (1.5%) | 409 (100%) |
| If patients do not reveal abuse to me, then it is none of my business. | 98 (24.0%) | 184 (45.0%) | 31 (7.6%) | 84 (20.5%) | 12 (2.9%) | 409 (100%) |
| Blame victim domain | ||||||
| A victim must be getting something out of the abusive relationship, or else she would leave. | 107 (26.2%) | 177 (43.3%) | 55 (13.4%) | 62 (15.1%) | 8 (2.0%) | 409 (100%) |
| I have patients whose personalities cause them to be abused. | 26 (6.4%) | 86 (21.0%) | 62 (15.2%) | 203 (49.6%) | 32 (7.8%) | 409 (100%) |
| Women who choose to step out of traditional roles are a major cause of IPV. | 30 (7.3%) | 79 (19.3%) | 80 (19.6%) | 182 (44.5%) | 38 (9.3%) | 409 (100%) |
| The victim’s passive-dependent personality often leads to abuse. | 23 (5.6%) | 86 (21.0%) | 46 (11.3%) | 203 (49.6%) | 51 (12.5%) | 409 (100%) |
| The victim has often done something to bring about violence in the relationship. | 42 (10.3%) | 163 (39.8%) | 82 (20.1%) | 104 (25.4%) | 18 (4.4%) | 409 (100%) |
| System support domain | ||||||
| I have ready access to social workers or community advocates to assist in the management of IPV. | 3 (0.7%) | 115 (28.1%) | 126 (30.8%) | 140 (34.2%) | 25 (6.1%) | 409 (100%) |
| I feel that social work personnel can help manage IPV patients. | 1 (0.2%) | 50 (12.2%) | 43 (10.5%) | 236 (57.7%) | 79 (19.3%) | 409 (100%) |
| I have ready access to mental health services should our patients need referrals. | 1 (0.2%) | 110 (26.9%) | 102 (24.9%) | 168 (41.1%) | 28 (6.9%) | 409 (100%) |
| I feel that the mental health services at my clinic or agency can meet the needs to IPV victims. | 2 (0.4%) | 71 (17.4%) | 48 (11.7%) | 206 (50.4%) | 82 (20.1%) | 409 (100%) |
| Victim provider safety domain | ||||||
| There is no way to ask batterers about their behaviors without putting the victims in more danger. | 62 (15.1%) | 204 (49.9%) | 45 (11.0%) | 87 (21.3%) | 11 (2.7%) | 409 (100%) |
| I am afraid if I talk to the batterer, I will increase risk for the victim. | 35 (8.6%) | 165 (40.3%) | 46 (11.3%) | 149 (36.4%) | 14 (3.4%) | 409 (100%) |
| I feel it is best to avoid dealing with the batterer out of fear and concern for the victim’s safety. | 60 (14.7%) | 148 (36.2%) | 39 (9.5%) | 154 (37.7%) | 8 (1.9%) | 409 (100%) |
| I am reluctant to ask batterers about their abusive behavior out of concern for my personal safety. | 61 (14.9%) | 163 (39.9%) | 80 (19.6%) | 99 (24.2%) | 6 (1.4%) | 409 (100%) |
| There is not enough security at my work place to safely permit discussion of IPV with batterers. | 32 (7.8%) | 104 (25.4%) | 61 (14.9%) | 190 (46.5%) | 22 (5.4%) | 409 (100%) |
| I am afraid of offending patients if I ask about their abusive behavior. | 43 (10.5%) | 174 (42.5%) | 52 (12.7%) | 126 (30.8%) | 14 (3.4%) | 409 (100%) |
| When challenged, batterers frequently direct their anger toward healthcare providers. | 22 (5.4%) | 111 (27.1%) | 96 (23.5%) | 158 (38.6%) | 22 (5.4%) | 409 (100%) |
Healthcare providers’ readiness and responses to DVHCPSS domains in OBY/GYN units of Amhara regional state referral hospitals, 2023 (n = 409).
Factors affecting HCPs’ readiness to screen for IPV among reproductive-aged women in OBY/GYN units
On crude bivariable analysis, the factors found to be significantly associated with the readiness of healthcare providers’ in the OBY/GYN unit were gender, age, marital status, profession, training on IPV, attitude toward IPV screening, knowledge of IPV, and availability of IPV guidelines in the working environment.
From the eight variables eligible for the multivariable analysis, gender, training on IPV, attitudes toward IPV screening, knowledge of IPV, and availability of IPV guidelines in the working environment were found to be significantly associated (Table 7).
Table 7
| Variable | Categories | Readiness to screen IPV | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|---|
| Yes | No | ||||
| Gender | Male | 125 | 120 | 1.59 (1.06–2.37)* | 1.64 (1.03–2.61)* |
| Female | 65 | 99 | 1 | ||
| Age | ≤30 years | 117 | 153 | 0.382 (0.069–2.12) | 0.24 (0.04–1.46) |
| 30–40 years | 69 | 64 | 0.539 (0.095–3.04) | 0.33 (0.05–2.05) | |
| ≥40 years | 4 | 2 | 1 | ||
| Marital status | Single | 79 | 78 | 1.29 (0.86–1.92) | 1.30 (0.80–2.08) |
| Married | 111 | 141 | 1 | ||
| Profession | General practitioner | 35 | 21 | 3.02 (1.34–6.83)** | 1.67 (0.67–4.18) |
| Midwife | 139 | 169 | 1.49 (0.78–2.86) | 1.47 (0.71–3.05) | |
| Nurse | 16 | 29 | 1 | ||
| Have you taken training on IPV | Yes | 56 | 26 | 3.10 (1.85–5.19)*** | 2.84 (1.64–4.94)*** |
| No | 134 | 193 | 1 | ||
| Attitude | Favorable | 125 | 85 | 3.03 (2.02–4.54)*** | 2.21 (1.42–3.44)*** |
| Unfavorable | 65 | 134 | 1 | ||
| Knowledge | Good | 136 | 103 | 2.84 (1.88–4.28)*** | 2.23 (1.42–3.50)** |
| Poor | 54 | 116 | 1 | ||
| Availability of IPV guideline | Yes | 70 | 46 | 2.19 (1.42–3.40)*** | 1.74 (1.07–2.81)* |
| No | 120 | 173 | 1 | ||
Bivariable and multivariable analysis of factors affecting healthcare providers’ readiness to screen for intimate partner violence among reproductive-aged women in obstetrics and gynecology units of Amhara regional state referral hospitals, 2023 (n = 409).
1, Reference category; COR, crude odds ratio; AOR, adjusted odds ratio; CI, confidence interval.
p < 0.05; **p < 0.01; ***p < 0.001.
The odds of readiness to screen for IPV were 1.6 times higher among male participants compared with their female counterparts [adjusted odds ratio (AOR) = 1.64, 95% CI: 1.03–2.61].
Participants who had been trained in IPV were 2.8 times more likely to be ready to screen for IPV compared to those who had no training in IPV (AOR = 2.84, 95% CI: 1.64–4.94). Healthcare providers with favorable attitudes toward IPV screening were 2.2 times more likely to be ready to screen for IPV against reproductive-aged women compared with those participants with unfavorable attitudes (AOR = 2.21, 95% CI: 1.42–3.44).
The study respondents with good knowledge of IPV were 2.2 times more likely to report readiness to screen IPV compared to participants with poor knowledge of IPV (AOR = 2.23, 95% CI: 1.42–3.50).
Availability of IPV guidelines in the working environment was also another positively associated variable with readiness to screen IPV. Those healthcare providers who had an IPV guideline in their working environment were 1.7 times more ready to screen IPV compared to those who did not have guidelines (AOR = 1.74, 95% CI: 1.07–2.81).
Discussion
This study assessed the readiness of healthcare providers’ and associated factors to screen for intimate partner violence in OBY/GYN units against reproductive-aged women in Amhara regional state referral hospitals, northwest Ethiopia.
The findings revealed that the proportion of healthcare providers’ readiness to screen for IPV in the OBY/GYN unit was found to be 46.5% (95% CI: 42–51). Factors associated with readiness to screen for IPV included being male, having training experience in IPV, having favorable attitudes toward IPV screening, having knowledge of IPV, and availability of IPV guidelines in the work environment.
According to this study, less than half of healthcare providers were ready to screen for IPV. This might be due to more than half of the study participants having poorly perceived self-efficacy in handling IPV, over half of the study participants having poor system support, and more than half of the study participants having professional role resistance/fear of offending the patient. This explanation is supported by a study carried out in Jeddah, Saudi Arabia, which found that having professional resistance/fear of offending the patient and a lack of psychiatric support reduced dentists’ readiness to screen for IPV (
As screening for IPV and giving care to its victims are expected to be highly correlated, preparedness can be affected by almost similar variables. In addition, factors affecting preparedness to provide IPV care in a study conducted in Tanzania were found to affect readiness to screen for IPV in this study. Considering this, when we compare the proportion of healthcare providers’ readiness to screen for IPV, it was found to be lower compared to the findings of a study from Tanzania (54%) (
The results of the present study identified gender as one of the positively associated variables with healthcare providers’ readiness to screen for IPV. Male healthcare providers had higher odds of readiness to screen for IPV compared with their female counterparts (AOR = 1.64, 95% CI: 1.03–2.61). These findings were supported by a study conducted in East Gojjam, Ethiopia, in which male nurses were more likely to give care for women exposed to IPV (
In this study, participants who trained in IPV were 2.8 times more likely to be ready to screen for IPV (AOR = 2.84, 95% CI: 1.64–4.94). This finding is supported by studies carried out in Tanzania (
Healthcare providers’ who had favorable attitudes toward IPV screening had higher odds of readiness to screen for IPV compared with their counterparts with unfavorable attitudes (AOR = 2.21, 95% CI: 1.42–3.44), a finding consistent with a study conducted in Iran (
This study revealed that participants with a good knowledge of IPV had higher odds of readiness to screen for IPV compared to participants with a poor knowledge of IPV (AOR = 2.23, 95% CI: 1.42–3.50). This aligns with findings from East Gojjam zone in Ethiopia, where nurses lacking IPV knowledge were less likely to provide care to women experiencing IPV (
The availability of IPV guidelines in the work environment was also significantly associated with increased readiness among HCPs to screen for IPV (AOR = 1.74, 95% CI: 1.07–2.81). This finding is supported by a study conducted in Tanzania (
Limitations of the study
Although conducting a pilot study to assess the reliability and construct validity of the DVHCPSS tool was a strength of the study, the sample size for the pilot study was limited due to resource constraints. A larger sample size might have allowed for the inclusion of additional variables that were excluded during the validation process. In addition, this study was conducted exclusively in tertiary hospitals, which are typically better equipped and staffed with higher-level HCPs. As a result, the findings may not be fully generalizable to other healthcare settings within the region, such as primary and secondary healthcare facilities. Future research could address this limitation by including healthcare providers from all levels of care, which would offer more comprehensive and generalizable results.
Conclusion
In this study, fewer than half of healthcare providers in the OBY/GYN unit were ready to screen for IPV. Most healthcare providers reported poor perceived self-efficacy and professional role resistance/fear of offending the patient, with nearly half blaming the victim for the abuse. Factors contributing to readiness to screen for IPV included a favorable attitude toward IPV screening, good knowledge of IPV, the gender of the HCP, training on intimate partner violence, and the availability of IPV guidelines in the workplace. Based on these findings, it is recommended that stakeholders provide consistent, comprehensive, and updated training for HCPs at all levels of care. In addition, standardized guidelines and protocols, including safety measures and validated screening tools, should be made available. Healthcare facilities must also be adequately equipped to support meticulous screening practices. Integrating IPV screening, management, and rehabilitation services with other reproductive health services can ensure a holistic approach to IPV screening and care. Finally, implementing monitoring and evaluation mechanisms will help assess the quality and effectiveness of IPV screening services, fostering continuous improvement. These measures can enhance the readiness of HCPs and improve care for IPV survivors.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher upon reasonable request.
Ethics statement
The studies involving humans were approved by University of Gondar’s School of Midwifery’s ethical review committee (reference number MIDW/30/2015). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
KA: Conceptualization, Formal analysis, Methodology, Writing – original draft, Data curation, Investigation, Software, Writing – review & editing. TK: Data curation, Investigation, Methodology, Writing – original draft. BT: Data curation, Formal analysis, Supervision, Writing – review & editing. MS: Data curation, Formal analysis, Supervision, Writing – review & editing. MT: Investigation, Software, Writing – review & editing. MC: Data curation, Supervision, Writing – review & editing. TL: Investigation, Writing – review & editing. BW: Methodology, Writing – original draft. AS: Investigation, Writing – review & editing. BR: Investigation, Writing – review & editing. GA: Data curation, Formal analysis, Supervision, Writing – original draft.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Acknowledgments
We would like to thank the University of Gondar for providing the ethical clearance of this study. Our gratitude goes to all the participants in the study as well as the data collectors.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
AOR, adjusted odds ratio; AVE, average variance extracted; DVHCPSS, Domestic Violence Healthcare Provider Survey Scale; GBV, gender-based violence; HCP, healthcare provider; IPV, intimate partner violence; OBY/GYN, obstetrics and gynecology; SV, sexual violence.
References
1.
OpinionC. Intimate Partner Violence. Washington, DC: ACOG, Womens Health Care Physicians (2012).
2.
BreidingMBasileKCSmithSGBlackMCMahendraRR. Intimate partner violence surveillance: Uniform definitions and recommended data elements. Version 2.0 (2015).
3.
World Health Organization. Strengthening Health Systems to Respond to Women Subjected to Intimate Partner Violence or Sexual Violence: A Manual for Health Managers. Geneva: World Health Organization (2017).
4.
World Health Organization. Preventing Intimate Partner and Sexual Violence Against Women: Taking Action and Generating Evidence. Geneva: World Health Organization (2010).
5.
PeironeAE. Intimate Partner Violence in Sub-Saharan Africa: Characteristics, Patterns, and Multi-Level Influences. Canada: University of Windsor (2019).
6.
Demographic E. Health Survey (EDHS) 2016: Key Indicators Report, Central Statistical Agency Addis Ababa, Ethiopia. Rockville, Maryland, USA: The DHS Program ICF (2016).
7.
IbrahimEHamedNAhmedL. Views of primary health care providers of the challenges to screening for intimate partner violence, Egypt. Eastern Mediterr Health J. (2021) 27(3):233–41. 10.26719/emhj.20.125
8.
AlebelAKibretGDWagnewFTesemaCFeredeAPetruckaPet alIntimate partner violence and associated factors among pregnant women in Ethiopia: a systematic review and meta-analysis. Reprod Health. (2018) 15(1):1–12. 10.1186/s12978-018-0637-x
9.
CollCVEwerlingFGarcía-MorenoCHellwigFBarrosAJ. Intimate partner violence in 46 low-income and middle-income countries: an appraisal of the most vulnerable groups of women using national health surveys. BMJ Glob Health. (2020) 5(1):e002208. 10.1136/bmjgh-2019-002208
10.
United Nations Development Programme (UNDP). Sustainable development goals and the 2030 agendas (2015). Available at:https://www.undp.org/sustainable-development-goals/gender-equality (Accessed February 12, 2023).
11.
Ministry of Women, Children and Youth Affairs, Government of Ethiopia. Women, children and youth directorate strategic plan (2020). Available at:http://www.pdf.usaid.gov (Accessed February 10, 2023).
12.
PharesTMSherinKHarrisonSLMitchellCFreemanRLichtenbergK. Intimate partner violence screening and intervention: the American college of preventive medicine position statement. Am J Prev Med. (2019) 57(6):862–72. 10.1016/j.amepre.2019.07.003
13.
GutmanisIBeynonCTuttyLWathenCNMacMillanHL. Factors influencing identification of and response to intimate partner violence: a survey of physicians and nurses. BMC Public Health. (2014) 7:12. 10.1186/1471-2458-7-12
14.
CommitteeA. ACOG committee opinion No 518: intimate partner violence. Obstet Gynecol. (2012) 119(2 Pt 1):412–7. 10.1097/AOG.0b013e318249ff74
15.
JonesKMTaoukLHCastleberryNMCarterMMSchulkinJ. IPV screening and readiness to respond to IPV in ob-gyn settings: a patient-physician study. Adv Public Health. (2018) 2018(1):1586987. 10.1155/2018/1586987
16.
EMOH. Ethiopian Health Sector Transformation Pan II (2021). Available at:https://www.globalfinancingfacility.org/sites/default/files/Ethiopia-HSTP-II.pdf (Accessed January 10, 2023).
17.
UN. The 2030 Agenda for Sustainable Development’s 17 Sustainable Development Goals (SDGs) (2018). Available at:https://sdgs.un.org/sites/default/files/2020-09/SDG%20Resource%20Document_Targets%20Overview.pdf (Accessed January 10, 2023).
18.
SchrierMWRougasSCSchrierEWElisseouSWarrieS. Intimate partner violence screening and counseling: an introductory session for health care professionals. MedEdPORTAL. (2017) 13:10622. 10.15766/mep_2374-8265.10622
19.
ScottE. A Brief Guide to Intimate Partner Violence and Abuse. Abingdon: NHS Health Scotland (2015).
20.
HegartyKMcKibbinGHameedMet alHealth practitioners’ readiness to address domestic violence and abuse: a qualitative meta-synthesis. PLoS One. (2020) 15(6):e0234067. 10.1371/journal.pone.0234067
21.
AlhalalE. Nurses’ knowledge, attitudes and preparedness to manage women with intimate partner violence. Int Nurs Rev. (2020) 67(2):265–74. 10.1111/inr.12584
22.
AzizMMEl-GazzarAF. Health care providers’ perceptions and practices of screening for domestic violence in upper Egypt. Sex Reprod Healthc. (2019) 20:93–9. 10.1016/j.srhc.2019.04.003
23.
ForsdikeKO’ConnorMCastleDHegartyK. Exploring Australian psychiatrists’ and psychiatric trainees’ knowledge, attitudes and preparedness in responding to adults experiencing domestic violence. Australas Psychiatry. (2019) 27(1):64–8. 10.1177/1039856218789778
24.
AhmadIAliPARehmanSTalpurADhingraK. Intimate partner violence screening in emergency department: a rapid review of the literature. J Clin Nurs. (2017) 26(21–22):3271–85. 10.1111/jocn.13706
25.
MeskeleMKhuzwayoNTaylorM. Healthcare worker experience and the challenges in screening for intimate partner violence among women who use antiretroviral therapy and other health services in Wolaita Zone, Ethiopia: a phenomenological study. J Multidiscip Healthc. (2020) 13:1047–59. 10.2147/JMDH.S269940
26.
TiruyeTYHarrisMLChojentaCHollidayELoxtonD. Determinants of intimate partner violence against women in Ethiopia: a multi-level analysis. PLoS One. (2020) 15(4):e0232217. 10.1371/journal.pone.0232217
27.
ChernetAGCherieKT. Prevalence of intimate partner violence against women and associated factors in Ethiopia. BMC Women’s Health. (2020) 20(1):22. 10.1186/s12905-020-0892-1
28.
AshenafiWMengistieBEgataGBerhaneY. Prevalence and associated factors of intimate partner violence during pregnancy in eastern Ethiopia. Int J Women’s Health. (2020) 12:339–58. 10.2147/IJWH.S246499
29.
TeshomeLAdugnaHDeribeL. Health providers readiness in managing intimate partner violence in public health institutions, Ethiopia. PLoS One. (2023) 18(12):e0295494. 10.1371/journal.pone.0295494
30.
AlemGZelekeHMengistuD. Assessment of nurses’ preparedness and identify barriers to care women exposed to intimate partner violence in East Gojjam Zone, Ethiopia, 2014. J Nurs Care. (2015) 4(250):2167-1168.1000250. 10.4172/2167-1168.1000250
31.
GashawBTScheiBSolbraekkeKNMagnusJH. Ethiopian Health care Workers’ insights into and responses to intimate partner violence in pregnancy—a qualitative study. Int J Environ Res Public Health. (2020) 17(10):3745. 10.3390/ijerph17103745
32.
FentieEAYeshitaHYShewaregaESBokeMMKidieAAAlemuTG. Adverse birth outcome and associated factors among mothers with HIV who gave birth in northwest Amhara region referral hospitals, northwest Ethiopia, 2020. Sci Rep. (2022) 12(1):22514. 10.1038/s41598-022-27073-2
33.
LawokoSOcholaEOloyaGPiloyaJLubegaMLawoko-OlweWet alReadiness to screen for domestic violence against women in healthcare Uganda: associations with demographic, professional and work environmental factors. Open J Prev Med. (2014) 04(4):145–55. 10.4236/ojpm.2014.44020
34.
LeeASMcDonaldLRWillSWahabMLeeJColemanJS. Improving provider readiness for intimate partner violence screening. Worldviews Evid Based Nurs. (2019) 16(3):204–10. 10.1111/wvn.12360
35.
LawokoSMuttoM. GuwattudeD. Piloting the domestic violence healthcare providers’ survey for use in Uganda: testing factorial structure and reliability. Psychology. (2012) 3:947–52. 10.4236/psych.2012.311142
36.
JohnIALawokoS. Assessment of the structural validity of the domestic violence healthcare providers’ survey questionnaire using a Nigerian sample. J Inj Violence Res. (2010) 2(2):75. 10.5249/jivr.v2i2.41
37.
AlyusufRHPrasadKSatirAMAAbalkhailAAAroraRK. Development and validation of a tool to evaluate the quality of medical education websites in pathology. J Pathol Inform. (2013) 4(1):29. 10.4103/2153-3539.120729
38.
KassaAHumanSPGemedaH. Knowledge of preconception care among healthcare providers working in public health institutions in Hawassa, Ethiopia. PLoS One. (2018) 13(10):e0204415. 10.1371/journal.pone.0204415
39.
Ab HamidMSamiWSidekMM. Discriminant Validity Assessment: Use of Fornell & Larcker Criterion Versus HTMT Criterion. Journal of Physics: Conference Series. IOP Publishing (2017).
40.
LanHTQLongNTHanhNV. Validation of depression, anxiety and stress scales (DASS-21): immediate psychological responses of students in the E-learning environment. Int J Higher Educ. (2020) 9(5):125–33. 10.5430/ijhe.v9n5p125
41.
MilneTCreedyDWestR. Development of the awareness of cultural safety scale: a pilot study with midwifery and nursing academics. Nurse Educ Today. (2016) 44:20–5. 10.1016/j.nedt.2016.05.012
42.
AlshouibiEN. General dentists’ readiness and barriers in intimate partner violence screening: a cross-sectional study in Jeddah City. BMC Oral Health. (2022) 22(1):1–7. 10.1186/s12903-022-02627-y
43.
LawokoSSanzSHelströmLCastrenM. Screening for intimate partner violence against women in healthcare Sweden: prevalence and determinants. Int Sch Res Notices. (2011) 2011:510692. 10.5402/2011/510692
44.
AmbikileJSLeshabariSOhnishiM. Knowledge, attitude, and preparedness toward IPV care provision among nurses and midwives in Tanzania. Hum Resour Health. (2020) 18(1):1–7. 10.1186/s12960-020-00499-3
45.
AnyangoJFYostJDobsonANkaluboJMcKeeverA. Healthcare providers’ perceived barriers and facilitators to screening for intimate partner violence in pregnant women attending prenatal clinics. J Adv Nurs. (2024) 81:210–23. 10.1111/jan.16198
46.
KodoTKKidieAAMerechoTHTirunehMGYayehBMGetanehBAet alThe impact of armed conflict on services and outcomes related to maternal and reproductive health in North Wollo, Amhara, Ethiopia: a qualitative study. Int J Women’s Health. (2024) 16:1055–66. 10.2147/IJWH.S457529
47.
ArageMWKumsaHAsfawMSKassawATDagnewEMTuntaAet alExploring the health consequences of armed conflict: the perspective of northeast Ethiopia, 2022: a qualitative study. BMC Public Health. (2023) 23(1):2078. 10.1186/s12889-023-16983-z
48.
DellieESalelewEMihret FeteneSNegashWDKebedeAHaileTGet alGender-based violence among women and girls in conflict-affected areas of Northeast Amhara. Ethiopia. Front Global Women’s Health. (2024) 5:1453149. 10.3389/fgwh.2024.1453149
49.
AsefaEYHaileABMohamedOYBerhanuD. The magnitude of gender-based violence, health consequences, and associated factors among women living in post-war woredas of North Shewa zone, Amhara, Ethiopia, 2022. Front Global Women’s Health. (2024) 5:1335254. 10.3389/fgwh.2024.1335254
50.
AnguzuRCassidyLDBeyerKMBabikakoHMWalkerRJDickson-GomezJ. Facilitators and barriers to routine intimate partner violence screening in antenatal care settings in Uganda. BMC Health Serv Res. (2022) 22(1):283. 10.1186/s12913-022-07669-0
51.
Mostafa ArrabMShabaan IbrahimH. Effect of educational training intervention on overcoming nurses’ barriers to screening intimate partner violence against women in outpatient clinics. Am J Nurs Res. (2018) 6(4):198–207. 10.12691/ajnr-6-4-8
52.
BynumTP. Impact of intimate partner violence education on clinician readiness, patient screening, and management (doctoral dissertation). Georgetown University (2024).
53.
YousefniaNNekueiNFarajzadeganZ. The relationship between healthcare providers’ performance regarding women experiencing domestic violence and their demographic characteristics and attitude towards their management. Inj Violence. (2018) 10(2):113–8. 10.5249/jivr.v10i2.958
54.
TrafimowD. The theory of reasoned action: a case study of falsification in psychology. Th & Psych.19(4):501–18. 10.1177/0959354309336319
55.
FunkeJ. How much knowledge is necessary for action?Knowledge Action. (2017) 9:99–111. 10.1007/978-3-319-44588-5_6
56.
EMOH. Obstetrics Management Protocol for Hospitals (2021).
Summary
Keywords
readiness, intimate partner violence, healthcare provider, referral hospitals, Ethiopia
Citation
Abebe KA, Kebede TN, Taye BT, Silesh M, Tadese M, Chekol MS, Lemma Demisse T, Workineh BB, Solomon AA, Rade BK and Aynalem GL (2025) Healthcare providers’ readiness to screen for intimate partner violence in obstetrics and gynecology units in Amhara regional state referral hospitals, Ethiopia: validation and cross-sectional survey using the DVHCPSS tool. Front. Glob. Women's Health 6:1408703. doi: 10.3389/fgwh.2025.1408703
Received
06 April 2024
Accepted
26 March 2025
Published
24 April 2025
Volume
6 - 2025
Edited by
Jacob Owusu Sarfo, University of Cape Coast, Ghana
Reviewed by
Ambrose Akinlo, Obafemi Awolowo University, Nigeria
Roxanne Keynejad, King’s College London, United Kingdom
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© 2025 Abebe, Kebede, Taye, Silesh, Tadese, Chekol, Lemma Demisse, Workineh, Solomon, Rade and Aynalem.
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*Correspondence: Kidist Ayalew Abebe kiduyayudbu@gmail.com
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