Skip to main content
  • Research article
  • Open access
  • Published:

Violence against housemaids in an Ethiopian town during the early phase of the COVID-19 pandemic: a cross-sectional study

Abstract

Background

Violence against women is a global public health problem that has numerous adverse effects. However, published literature regarding violence against housemaids during the COVID-19 pandemic in Ethiopia is lacking. The current study aims to explore the experiences of violence and associated factors among housemaids in Ethiopia. The findings may be useful to the design appropriate policies, programs and strategies to reduce the problem.

Methods

A community-based cross-sectional study was conducted from January to March, 2021 in Kombolcha Town, Ethiopia. A total of 215 housemaids aged 14 years and older were included in the study using a simple random sampling technique. A multivariable logistic regression model with 95% CI (confidence interval) was applied to identify significant factors of physical and sexual violence. Variables with a P-value < 0.05 were declared as factors significantly associated with violence.

Results

Among 215 housemaids, 33.49% (95% CI: 27.13–39.85%) reported physical violence and 21.4% (95% CI: 15.87–26.92) reported sexual violence during the COVID-19 pandemic. Thus, housemaids aged 19–23 years (AOR = 2.64, 95% CI: 1.01–6.89), who had a male employer (AOR = 2.39, 95% CI: 1.05–5.45), whose employers chewed chat (Catha edulis) (AOR = 3.78, 95% CI: 1.73–8.29), or drank alcohol (AOR = 2.90, 95% CI: 1.17–7.17) experienced more physical violence. Sexual violence was also associated with employers’ alcohol consumption (AOR = 9.72, 95% CI: 3.12–20.31), employers’ chat chewing (AOR = 7.40, 95% CI: 2.26–14.21) and male employers (AOR = 3.23, 95% CI: 1.22–8.52).

Conclusion

The findings indicate that one in five housemaids and one in three housemaids experienced sexual violence and physical violence, respectively. Housemaids aged 19–23 years, having a male employer, having an employer who chewed chat (Catha edulis) or who drank alcohol were factors associated with physical violence, whereas employers’ alcohol consumption, employers’ chat chewing and male employers were factors associated with sexual violence.

Peer Review reports

Background

Violence against women is a public health problem as well as a basic violation of women’s human rights that often results in injury, death, and sexual and psychological harm [1, 2]. Purposeful use of physical force is considered “physical violence,” while forcing a woman to engage in a sexual act is referred to as “sexual violence” [3].

Worldwide, an estimated one in three women has been physically or sexually abused; and one in five experience rape or attempted rape in their lifetime, but this are probably underestimates [1]. Violence against women is one of the main contributors to poor sexual and reproductive health, leading to unintended pregnancy, self-induced abortions, gynecological problems, sexual dysfunction and sexually transmitted infections (STIs), including HIV [4, 5].

Studies have reported that socioeconomic marginalization, poor mental health, alcohol misuse by a partner, unplanned pregnancies, young age and a history of childhood abuse are risk factors for violence against housemaids [6,7,8,9,10]. Globally, data show that reports of domestic violence have increased during the COVID-19 pandemic [11, 12]. In China, housemaid violence tripled during the mandatory stay-at-home period [13]. Violence increased also in the UK, Canada, USA, Italy, Spain, and Australia during the COVID-19 pandemic [11, 14]. In Kenya, Somalia, South Africa, Niger, Tunisia, Zimbabwe, and Ethiopia, housemaid violence has been reported as high as before the pandemic [15].

In Ethiopia, data from several hospitals in Addis Ababa showed that between mid-March and mid-May 2020 more than 100 girls were raped, some of them by close family members [16].

Socioeconomic instability related to stay-at-home orders and business closures increase substance abuse and lack of community support, all of which contribute to violence [17]. Women in Ethiopia and other developing countries face numerous barriers to accessing justice for gender-based violence and rarely report violence committed against them due to low conviction rates, disruption of court processes during the COVID-19 pandemic, and cultural factors, factors which shield perpetrators [18].

In Ethiopia, seasonal and long-term rural–urban migration for domestic work is highly prevalent. The main destinations of these migrants are regional and zonal towns, which provide migrants with opportunities for domestic work as housemaids [19]. Domestic work is one of the least protected sectors under the labor law and poor monitoring and implementation of the existing laws puts housemaids in a highly disadvantaged position, exacerbating their vulnerability to sexual abuse and violence [20, 21].

Housemaids are highly vulnerable to violence due to the nature of their work, socio-economic exclusion, and residence in the homes of their employers. But published literature on violence against housemaids during the COVID-19 pandemic in Ethiopia is limited. To fill this gap the current study aims to explore the experiences and risk factors of physical and sexual violence among housemaids aged 14 years and older in Kombolcha Town during the COVID-19 pandemic. The findings may be useful in the design of appropriate policies, programs and strategies that address the vulnerabilities of housemaids and reduce sexual and physical violence among housemaids. In addition, this study also provides useful information to labor and social affairs and health professionals, as well as policy makers planning and implementing prevention programs.

Methods and materials

Study setting, design and period

A community based cross-sectional design was utilized from January to March 2021 to assess violence among housemaids aged 14 years and older during the COVID-19 pandemic. The study was carried out in Kombolcha Town in northeast Ethiopia. Kombolcha is located in South Wollo Zone in Amhara Region at 1,800 m altitude, latitude 11°5′N and longitude of 39°44′E.

Data obtained from the South Wollo Zone Administration show that the population of Dessie Town was 102,350 in 2020. The great majority of the rural zonal population practices subsistence agriculture focused on grain cultivation and livestock rearing. South Wollo Zone is subject to frequent droughts and famines that cause many people, including young females, to move to urban areas, including Kombolcha Town, to seek work. Kombolcha Town is divided into 4 urban kebeles (the smallest administrative unit in Ethiopia) containing 28,040 households and a total of 3,467 housemaids aged 14 years and older in 2021, according to the Kombolcha Town Administration Office.

Source and study population

All housemaids aged 14 years and older in Kombolcha Town were the source population and all selected housemaids aged 14 years and older living in the town during data collection were considered as the study population. Housemaids who were critically ill and those who were unable to communicate were excluded from the study.

Sample size determination and sampling technique

The sample size was determined using a single population proportion formula:

$$\mathrm n\;=\;\frac{\left({\mathrm{Za}}_{/2}\right)^2\;\mathrm P\left(1-\mathrm P\right)}{\mathrm d^2}$$

Taking 16.3% prevalence of physical violence against housemaids from a study conducted in Mekele City in northern Ethiopia [22], with an assumed 95% CI and 5% margin of error, giving a sample size of 204. By adding 10% non-response rate, the total sample size was 224. For the second objective, considering two independent variables, a double population proportion formula was adopted from previous studies [22, 23]. Then, the sample size was computed using Epi-Info version 7.0 software and found to be 141. Thus, the maximum adequate sample size used for this study was 224.

According to the Kombolcha Town Administration, there are 4 kebeles with a total of 3,467 housemaids aged 14 years and above in January 2021. The sample size was proportionally allocated for each kebele based on the number of housemaids in the respective kebeles. Then a simple random sampling technique using the lottery method was employed to select study participants from the Kombolcha Town Administration files. Households of housemaid aged 14 years or above were coded to properly identify them. The data collectors started at the bench mark of the known location and then walked straight forward to identify each house. When more than one housemaid was present in a selected household, a lottery method was used to select one of them. When the housemaid in the selected household was not available, that house was revisited the same day. If again not available, the household was revisited a third time and considered as non-respondent if still absent.

Study variables

The dependent variables of the study were physical violence and sexual violence among housemaids. Independent variables were socio-demographic characteristics of housemaids (age, previous residence, marital status, educational status, religion, monthly income, work experience, type of agreement with the employer, reasons for being a housemaid), housemaid’s current family characteristics (parents live together, father’s education, mother’s education), housemaid’s behavioral characteristics (chewing chat, frequency of chat chewing, smoking, drinking alcohol, frequency of drinking alcohol, using cocaine, using shisha, using marijuana), and employer characteristics (education, gender, occupation, chewing chat, drinking alcohol, frequency of chewing chat, and frequency of drinking alcohol).

Operational definition

Housemaid

refers to a female domestic worker employed to do housework with or without contract and either living or not living in the employer’s home [24, 25].

Physical violence

was defined as any act of slapping a housemaid or throwing something at her, pushing or shoving her or pulling her hair, kicking or dragging her, beating her, punching her with a fist or with something else that could hurt her, choking or burning and threatening her with a weapon [26, 27].

Sexual violence

was defined as any acts of forced sexual intercourse or in this study, we also consider sexual violence as unwanted touching of breasts or the genital area, making sexually explicit remarks and threats of rape [26, 27].

Data collection tool and techniques

For data collection, interviewers administered a questionnaire adopted from validated WHO multi-country study on violence against women [26] (Additional file 1). The questionnaire was originally prepared in English and then translated into Amharic (local language) and back into English to ensure its consistency and accuracy. Four MPH supervisors and 8 unmarried female nurses with BSc degrees and well-experienced in data collection were recruited for data collection and trained for 2 days about the objectives and relevance of the study, confidentiality of information, the respondents’ rights and interviewing techniques.

The questionnaire was pretested on 5% of the total sample size in Dessie Town before the actual data collection to assure the validity of the questionnaire. Data were collected during face-to-face interviews with each respondent in a private and secure place, usually in a room or other space without the presence of the employer.

Data management and analysis

Data were entered into Epi-Info version 7 and exported to STATA version 14 software for further analysis. Continuous variables were summarized using mean and standard deviation. Bi-variable and multivariable logistic regression analysis was done to determine associations between independent and dependent variables. Variables having P-value < 0.25 in the bivariate analysis were selected using forward procedures and examined in multivariable logistic regression analysis to control possible confounders as described by Hosmer and Lemeshow [28].

Adjusted odds ratio (AOR) with 95% confidence interval (CI) was used to measure strength and direction of associations. Thus, variables having P-values less than 0.05 in the final model were considered as factors significantly associated with violence. Multi-collinearity between variables was checked using a standard error of the coefficient with cut-off point 2.0. The Hosmer and Lemeshow goodness-of-fit test (28) was used to determine the model fitness of the adjusted multivariable analysis with cut-off-point p-value > 0.05, which was found to be 0.89.

Results

Characteristics of housemaids

Of the 224 housemaids included in the study, 215 fully responded the questionnaire, giving a response rate of 95.98%. The mean age of respondents was 20.66 years, with SD (standard deviation) ± 3.68, while half were 19–23 years old. Ninety-three (43.25%) of the housemaids had attended primary school, 170 (79.07%) were currently unmarried and the mean of their monthly salary was 978.28 (SD ± 198.97) Ethiopian Birr (Table 1).

Table 1 Characteristics of housemaids in Kombolcha town, northeast Ethiopia, January to March, 2021 (N = 215)

More than half (111, 51.63%) of the housemaids had grown up in urban areas and 119 (55.35%) of them had worked for their current employer for less than one year. Regarding the type of employment agreement with the employer, 170 (79.07%) of the housemaids had a contract with their employer and 182 (84.65%) were living with their employer. Most of the housemaids 154 (71.63%) chose to work as a housemaid due to lack of other employment opportunities (Table 1).

Housemaids’ family characteristics

Housemaids were asked about their family history. More than half (134, 62.33%), of their parents were living together. Nearly two-fifths of them were unable to read and write, 93 (43.25%) had completed primary school and 13 (6.05%) secondary school or above (Table 1). Fewer than 8% of their fathers and mothers had completed secondary school or above. More than four-fifths 175 (81.40%) of the housemaids considered their monthly salaries to be insufficient (Table 2).

Table 2 Housemaids current family characteristics in Kombolcha town, Ethiopia, January to March, 2021 (N = 215)

Housemaids’ substance use

Forty-two (19.53%) of the housemaids drank alcohol, nearly all (41, 97.62%) consuming alcohol sometimes. Sixty-one (28.37%) of them chewed chat, (Catha edulis), 54(88.52%) chewing chat sometimes. Thirty-one (14.42%) of the housemaids smoked using water pipes (shisha). None of the housemaids said yes to use of cocaine or marijuana (Table 3).

Table 3 Substance use-related behaviors of housemaids in Kombolcha town, Ethiopia, January to March, 2021 (N = 215)

Current employers characteristics

Nearly half (101, 46.98%) of the current employers had a diploma or university education. Half of the current employers (108, 50.23%) were government employees and more than half (112, 52.09%) of them were chat chewers, 58 (51.79%) of them chewing once or twice a week and 17.79% daily. Sixty-three (29.30%) of the current employers used alcohol, of whom 38 (61.29%) of them drank once or twice a week (Table 4).

Table 4 Characteristics of current employers of housemaids in Kombolcha Town, Ethiopia, January to March, 2021 (N = 215)

Experiences of physical violence

Of the 215 respondents, 72 (33.49%) had experienced physical violence (95% CI: 27.13, 39.85%) at their present or previous jobs. Among these, 33 (45.84%) had experienced more physical violence since the lockdown for the COVID-19 pandemic. Regarding the kind of physical violence experienced, 26 (36.11%) of the housemaids had been slapped or punched with a fist, 33 (45.83%) of them had been hit with an object, and 13 (18.06%) reported being kicked. About one-third (35, 48.61%) of the housemaids had not reported the violence committed against them (Table 5).

Table 5 Experiences and impacts of physical violence among housemaids in Kombolcha, Ethiopia, January to March, 2021 (N = 215)

The study also showed that 53 (73.61%) of the housemaids considered the violence not to have been justified by their behavior or attitude. More than two-thirds 49 (68.06%) of the respondents experienced depression due to violence, 50 (69.44%) considered changing jobs due to violence and 39 (57.35%) of them wanted to change their occupation (Table 5).

Factors associated with physical violence

Age, religion, monthly income, previous residence, work experience, marital status, use of alcohol and shisha by housemaids, and gender of and alcohol and chat use by employer were significant variables in the bi-variable analysis at P-values < 0.25. They were entered into a multivariable model to control for possible confounding and to identify significant predicators. In the multivariate logistic regression analysis, age of housemaids, gender of employer, and employers chewing chat or drinking alcohol were statistically significant factors of physical violence among housemaids.

The odds of physical violence were nearly three times higher against those aged 19–23 years than those aged 14–18 years (AOR = 2.64, 95% CI: 1.01–6.89). Housemaids who had a male employer were 2.4 times more likely (AOR = 2.39, 95% CI:1.05–5.45) to experience physical violence than housemaids who had both male and female employers. Housemaids whose employer chewed chat were 3.8 times more likely (AOR = 3.78, 95% CI:1.73–8.29) to have experienced physical violence than their counterparts whose employers did not chew chat. Similarly, housemaids whose employer used alcohol were 2.9 times more likely (AOR = 2.90, 95% CI:1.17–7.17) to have experienced physical violence than their counterparts whose employers were non-drinkers (Table 6).

Table 6 Factors associated with physical violence against housemaids in Kombolcha Town, Ethiopia, January to March, 2021 (N = 215)

Experiences of sexual violence

The prevalence of reported sexual violence among housemaids was 21.4% with 95% CI (15.87, 26.92). The great majority (18.6%) of them reported that they had experienced sexual violence during the one year since the lockdown for the COVID-19 pandemic. About one-third 69 (32.09%) of housemaids experienced unwanted touching and of the 52 housemaids who reported being raped, 21 (40.38%) reported the rape to a friend and 28 (53.84%) to nobody (Table 7).

Table 7 Experiences and impacts of sexual violence against housemaids in Kombolcha Town, Ethiopia, January to March, 2021 (N = 215)

Factors in sexual violence among housemaids

In bivariate logistic regression analysis, age, religion, monthly salary, previous residence and use of alcohol by housemaids and education status, occupation, gender, and use of chat by the employer were significant variables at P-value < 0.25 and entered into the final multivariable regression model. After controlling for confounding, employers’ alcohol and chat use and gender were statistically significant factors of sexual violence in the final multivariate regression model. Housemaids who had male employers were 3.23 times (AOR = 3.23, 95% CI: 1.22–8.52) more likely to have experienced sexual violence than those who had both male and female employers.

Housemaids who had employers who consumed any type of alcohol were 9.72 times (AOR = 9.72, 95% CI: 3.12–20.31) more likely to have experienced sexual violence than their counterparts whose employers did not drink alcohol. Similarly, housemaids whose employer chewed chat were 7.40 times (AOR = 7.40, 95% CI: 2.26, 14.21) more likely to have experienced sexual violence than their counterparts whose employers were not chat chewers (Table 8).

Table 8 Factors associated with sexual violence among housemaids in Kombolcha Town, Ethiopia, January to March 2021 ( N = 215)

Discussion

The current study aimed to assess the prevalence of physical and sexual violence and risk factors on housemaids in Kombolcha Town during the COVID-19 pandemic. The study found one in every three (33.5%) housemaids had experienced physical violence. This finding was consistent with results from a WHO report [5], and studies in Debre Tabor Town [29], other Ethiopian towns [2, 30], and China [31]. But these rates are lower than those reported by another study in Ethiopia [32, 33].

The prevalence of physical violence in our study is higher than found in studies conducted in Mekele [22], Axum [34, 35] and Gondar [36] towns in northern Ethiopia. It is also higher than the reports from UK [37] and Germany [38]. This discrepancy might be due to variations in legal protection of workers, and variations in the time of the studies (the current study was conducted during the early phase of the COVID-19 pandemic). The higher prevalence in our study than in industrialized countries may also be due to the marginalization of Ethiopian housemaids, who tend to lack strong social support and cannot easily protect themselves when living with their employers.

In the current study, about one in five housemaids reported sexual violence. This figure is comparable with several other studies conducted in Ethiopia [25, 39,40,41], but is higher than in others [30, 42, 43]. The rate in this study was also lower than found in several other studies [44,45,46,47,48]. These variations might be due to contextual factors such as socio-demographic and cultural differences, and the time of study [30]. In the current study gender of employer, and employer and use of alcohol and chat by employers were significantly associated with sexual violence. The finding that physical violence was higher among housemaids aged 19–23 years than those 14–18 years old is consistent with previous studies [34, 35, 49,50,51,52]. This pattern was associated with physical and mental factors that rendered young housemaids highly vulnerable, which corroborates studies showing that young females were the age group subjected most to sexual violence in other domestic and workplace settings [50, 51].

A study in Nigeria found that underage housemaids were physically abused more than their adolescent counterparts [52]. In addition, perpetrators find it easier to manipulate younger housemaids, further increasing their exposure to violence [30]. The strong correlation between employers chewing chat and physical violence is consistent with previous studies [29, 30, 52,53,54,55,56,57,58]. Chat use reportedly operates as a driver of violence through several pathways. First, physical violence occurs directly through increased anger and aggression brought on by periods of excessive use and withdrawal of chat.

Violence may also be facilitated indirectly through multi-step pathways related to the financial and economic burden of chat use and its impact on livelihoods [53, 58]. This scenario highlights the importance of addressing substance control, including harm reduction, as part of housemaid violence prevention programs. Housemaids who had employers who consumed alcohol experienced physical violence more often than their counterparts with non-drinking employers. This finding corroborates a study conducted in northwest Ethiopia [29]. Numerous other studies reported that employer alcohol consumption increases the probability of violence [22, 24, 25, 29, 30, 37, 38, 59,60,61,62,63,64]. Alcohol use may lead to alcohol-induced depressive disorders which can increase the likelihood of employers committing physical violence against their housemaids [22].

The relationship between alcohol and domestic abuse is complicated as alcohol use can have various effects on the perpetrators (employers). These can be situational factors central to the assault itself, such as cognitive impairments caused by alcohol, or more distant but equally important factors, such as negative stereotypes or expectations about sex [65]. The psychopharmacological effect of alcohol on cognitive functioning can cause drinkers to disregard the sexual values and preferences of their victims, a potential key factor in sexual violence [65]. Combined with lowered inhibitions, this can lead to aggression when expectations are not met [66].

According to this study, housemaids who had employers chewing chat were more likely to have experienced sexual violence than their counterparts. This finding is consistent with other studies that indicate a positive association between chat chewing and sexual violence [24, 52, 56, 67]. A pathway through which chat use leads to violence is elevated and excessive sexual desire, which when coupled with aggressive behavior, leads to sexual violence [66].

Housemaids who had a male employer were more likely to experience sexual violence than housemaids who had both male and female employers, an association not previously reported in the literature. Further studies are needed to assess the nature and extent of gender-based violence in the domestic sphere. Housemaids who had employers who consumed alcohol were more likely to have experienced sexual violence than their counterparts whose employers did not drink alcohol. This finding is consistent with previous studies in various Ethiopia communities [24, 30, 39, 47, 67].

In this study, most housemaids who had experienced forced sex did not report this to a legal body. The main reasons for not reporting to a legal body were lack of knowledge of what to do, cultural taboos, fear of public reaction, shame, and fear of the attacker, exacerbating vulnerability to violence [24, 26]. This is consistent with other studies which demonstrate that violence is a common problem in Ethiopian families, where male domination and female subordination are the cultural norm, curtailing victims’ recourse to social support and legal action [29, 68, 69].

Strength and limitations of the study

The major strength of this study is that it is the first examination of violence against housemaids in Ethiopia during the COVID-19 pandemic, which may serve as a benchmark for future research. Several limitations should be noted. Since this was a cross-sectional study, participants were assessed only once; thus, it would be difficult to infer the temporal association between a risk factor and outcomes. Further, the cross-sectional nature of the study design cannot show causality between variables. In addition, our definition of sexual violence as a composite of rape and attempted rape, unwanted touching apparently resulted in underreporting of sexual violation. There may be also a self-reporting bias due to sensitive issue of violence and living as a servant might hinders the confidence. The prevalence of sexual violence as well as physical violence, may also have been under-reported due to the sensitivity of this subject and the location of the interviews in the residences of their employers, even though efforts were made to interview participants in privacy.

Implications of the study

The findings of this study may be useful to assist in the design of appropriate policies addressing the vulnerabilities of housemaids to sexual and physical violence. This study may also provide useful information to labor and social affairs officials and health professionals when planning and implementing violence prevention programs. The high vulnerability of younger housemaids to violence has important implications due to the increasing number of younger girls who are becoming housemaids.

This study may help to design intervention programs that create awareness in the public domain about the many factors related to violence and to ensure that younger housemaids in particular are considered in these programs. This study points out the need for concerned bodies, including police officers, experts in women’s affairs, prosecutors and judges to be equipped with adequate knowledge and skills necessary to effectively and equitably address violence against housemaids. Housemaid protection and empowerment may also be achieved through education, increase in respect for women’s rights, and assistance from women associations at the kebele level.

Conclusion

This study indicates that more than one-third of the housemaids and nearly one in every five housemaids experienced physical and sexual violence, respectively. Housemaids in Kombolcha Town have experienced more physical and sexual violence during the COVID-19 pandemic. The most vulnerable housemaids were in the youngest age group of 19–23 years and had a male employer, particularly an employer who used alcohol or chat. The findings point out an urgent need for an integrated policy that addresses the rise of physical and sexual violence against housemaids by their employers. Enhancing awareness on the role of chat chewing and alcohol use in violence should be an integral component of violence reduction programs. In addition, targeted efforts should be made to reduce the vulnerability of younger housemaids.

Availability of data and materials

The data used for analysis is fully available in the manuscript file without restriction.

Abbreviations

AOR:

Adjusted Odds Ratio

CI:

Confidence Interval

COR:

Crude Odds Ratio

STI:

Sexually transmitted infections

WHO:

World Health Organization

References

  1. World Health Organization. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence. Executive summary. Geneva: WHO. 2013; ISBN 978 92 4 1564625. https://apps.who.int/iris/handle/10665/85239.

  2. Jewkes R. Intimate partner violence: causes and prevention. The Lancet. 2002;359(9315):1423–9.

    Article  Google Scholar 

  3. Petersen R, Saltzman LE, Goodwin MM, Spitz A. Key scientific issues for research on violence occurring around the time of pregnancy. Report to the CDC. Atlanta, GA: CDC; 1998.

    Google Scholar 

  4. Glasier A, Gülmezoglu AM, Schmid GP, Moreno CG, Van Look PFA. Sexual and reproductive health: A matter of life and death. The Lancet. 2006;368(9547):1595–607.

    Article  Google Scholar 

  5. World Health Organization. Violence against women: Key facts. Geneva: WHO. 2017; 29. https://www.who.int/news-room/fact-sheets/detail/violence-against-women).

  6. Yakubovich AR, Stöckl H, Murray J, Melendez-Torres GJ, Steinert JI, Glavin CEY, et al. Risk and protective factors for intimate partner violence against women: systematic review and meta-analyses of prospective-longitudinal studies. Am J Public Health. 2018;108(7):e111. https://doi.org/10.2105/AJPH.2018.304428.

    Article  Google Scholar 

  7. Capaldi DM, Knoble NB, Short JW, Kim HK. A systematic review of risk factors for intimate partner violence. Partn Abuse. 2012;3(2):231–80. https://doi.org/10.1891/1946-6560.3.2.231.

    Article  Google Scholar 

  8. Bidarra ZS, Lessard G, Dumont A. Co-occurrence of intimate partner violence and child sexual abuse: prevalence, risk factors and related issues. Child Abuse Negl. 2016;55:10–21. https://doi.org/10.1016/j.chiabu.2016.03.007.

    Article  PubMed  Google Scholar 

  9. Devries KM, Child JC, Bacchus LJ, Mak J, Falder G, Graham K, et al. Intimate partner violence victimization and alcohol consumption in women: a systematic review and meta-analysis. Addiction. 2014;109(3):379–91. https://doi.org/10.1111/add.12393.

    Article  PubMed  Google Scholar 

  10. World Health Organization (WHO). COVID-19 and violence against women: What the health sector/system can do.2020. https://www.who.int/reproductivehealth/publications/emergencies/COVID-19VAW-full-text.pdf.

  11. Boserup B, McKenney M, Elkbuli A. Alarming trends in US domestic violence during the COVID-19 pandemic. Am J Emerg Med. 2020. https://doi.org/10.1016/j.ajem.2020.04.077.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Matoori S, Khurana B, Balcom MC, Koh DM, Froehlich JM, Janssen S. Intimate partner violence crisis in the COVID-19 pandemic: how can radiologists make a difference? Eur Radiol. 2020. https://doi.org/10.1007/s00330-020-07043-w.

    Article  PubMed  PubMed Central  Google Scholar 

  13. World Health Organization. Consolidated guideline on sexual and reproductive health and rights of women living with HIV. World Health Organization; 2017. https://apps.who.int/iris/bitstream/handle/10665/254634/WHO-RHR-17.03-por.pdf.

  14. Bradley NL, DiPasquale AM, Dillabough K, Schneider PS. Health care practitioners’ responsibility to address intimate partner violence related to the COVID-19 pandemic. CMAJ. 2020;192(22):E609–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. African Child Policy Forum. Under siege: impact of COVID-19 on girls in Africa. PLAN International/African Child Policy Forum(ACPF); 2020. https://girls.africanchildforum.org/.

  16. Yibeltal K. Child abuse rises in Ethiopia with COVID-19 restrictions. Addis Ababa: BBC News. 2020. https://www.ghanaweb.com/GhanaHomePage/africa/Child-abuse-rises-in-Ethiopia-with-Coronavirus-restrictions-971098.

  17. Mueller V, Peterman A, Billings L, Wineman A. Exploring impacts of community-based legal aid on intra household gender relations in Tanzania. Fem Econ. 2019;25(2):115–45.

    Article  Google Scholar 

  18. Gosangi B, Park H, Thomas R, Gujrathi R, Bay CP, Raja AS, Seltzer SE, et al. Exacerbation of physical intimate partner violence during COVID-19 pandemic. Radiology. 2021;298(1):e38E45. https://doi.org/10.1148/radiol.2020202866.

    Article  Google Scholar 

  19. Tadele F, Pankhurst A, Bevan P, Lavers T. Migration and rural-urban linkages in Ethiopia: cases studies of five rural and two urban sites in Addis Ababa, Amhara, Oromia and SNNP regions and implications for policy and development practice. London: ESRC WeD Research Programme United Kingdom; 2006. http://www.ethiopianreview.com/pdf/001/Migration_160606_nopics.pdf.

  20. Gebre KM. Vulnerability, legal protection and work conditions of domestic workers in Addis Ababa: human rights, Development and social jjstice. The Hague: International Institute of Social Studies; 2012.

    Google Scholar 

  21. Gebremedhin M. M. Procrastination in recognizing the rights of domestic workers in Ethiopia. Mizan Law Review,2016:10(1), 38. https://doi.org/10.4314/mlr.v10i1.2nd.

  22. Zenebe M, Gebresilassie A, Assefa H. Magnitude and factors associated to physical violence among housemaids of Mekelle town, Tigray, Northern Ethiopia: a cross sectional study. Am J Nursing. 2014;3(6):105–9.

    Article  Google Scholar 

  23. Bifftu BB, Dachew BA, Tiruneh BT, Zewoldie AZ. Domestic violence among pregnant mothers in Northwest Ethiopia: prevalence and associated factors. Adv Public Health. 2017. https://doi.org/10.1155/2017/6506231.

    Article  Google Scholar 

  24. Bekele T, Kaso M, Gebremariam A, Deressa W. Sexual violence and associated factors among female students of Madawalabu University in Ethiopia. Epidemiol. 2015;5:190. https://doi.org/10.4172/2161-1165.1000190.

    Article  Google Scholar 

  25. Azanaw KA, Gelagay AA, Lakew AM. Sexual violence and associated factors among housemaids living in Debre-Tabor town, Northwest Ethiopia. PAMJ-One Health. 2020;3(10). https://doi.org/10.11604/pamj-oh.2020.3.10.25147.

  26. World Health Organization. WHO multi-country study on women's health and domestic violence against women : initial results on prevalence, health outcomes and women's responses / authors: Claudia Garcia-Moreno ... [et al]. World Health Organization; 2005. https://apps.who.int/iris/handle/10665/43309.

  27. Abramsky T, Watts CH. What factors are associated with recent intimate partner violence? Findings from the WHO multi-country study on women’s health and domestic violence. BMC Public Health. 2011;11:109.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Hosmer DW, Lemesbow S. Goodness of ft tests for the multiple logistic regression model. Commun Statistics-Theory Methods. 1980;10:1043–69.

    Article  Google Scholar 

  29. Muche AA, Adekunle AO, Arowojolu AO. Gender based violence among married women in Debre Tabor Town, Northwest Ethiopia: a qualitative study. Afr J Reproduct Health. 2017;21(4):102–9.

    Article  Google Scholar 

  30. Amogne MD, Balcha TT, Agardh A. Prevalence and correlates of physical violence and rape among female sex workers in Ethiopia: a cross-sectional study with respondent-driven sampling from 11 major towns. BMJ Open. 2019;9:e028247. https://doi.org/10.1136/bmjopen-2018-028247.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Tu X, Lou C. Risk factors associated with current intimate partner violence at individual and relationship levels: a cross-sectional study among married rural migrant women in Shanghai, China. BMJ Open. 2017;7(4):e012264.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Andualem M, Tiruneh G, Gizachew A, Jara D. The prevalence of intimate partner physical violence against women and associated factors in Gozaman Woreda, Northwest Ethiopia 2013. Global J Sex Educ. 2014;2(3):26–35.

    Google Scholar 

  33. Birhane E, Desta A. Prevalence of physical violence and associated factors among married women in rural part of Northern Ethiopia. Int J Pharmac Sci Res. 2014;5:846–50.

    Google Scholar 

  34. Gebrewahd GT, Gebremeskel GG, Tadesse DB. Intimate partner violence against reproductive age women during COVID-19 pandemic in northern Ethiopia 2020: a community-based cross-sectional study. Reprod Health. 2020;17:152. https://doi.org/10.1186/s12978-020-01002-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Girmay A, Mariye T, Bahrey D, Hailu B, Isay A, Medhin, G. Intimate partner physical violence and associated factors in reproductive age married women in Aksum Town, Tigray, Ethiopia, 2018, a community-based study. BMC Res Notes. 2019;12:627. https://doi.org/10.1186/s13104-019-4615-3.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Yigzaw T, Yibric A, Kebede Y. Domestic violence around Gondar in northwest Ethiopia. Ethiop J Health Dev. 2004;18(3):133–9.

    Google Scholar 

  37. Bradley NL, DiPasquale AM, Dillabough K, Schneider PS. Health care practitioners’ responsibility to address intimate partner violence related to the COVID-19 pandemic. CMAJ. 2020;192(22):e609–610.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Schlack R, Rüdel J, Karger A, Hölling H. Physical and psychological violence perpetration and violent victimisation in the german adult population. Fed Health Gaz Health Res Health Prot. 2013;56(5–6):755–64.

    CAS  Google Scholar 

  39. Getachew M. Prevalence and determinants of sexual violence among female housemaids in selected junior secondary night school: cross sectional study Addis Ababa, Ethiopia 2015. (Doctoral dissertation, Addis Ababa University). http://etd.aau.edu.et/handle/123456789/8280.

  40. Garoma S, Belachew T, Wondafrash M, Duke N, Sieving R, Pettingell S. Sexual coercion and reproductive health outcomes among young females of Nekemte Town, South West Ethiopia. Ethiop Med J. 2008;46(1):19–28.

    PubMed  Google Scholar 

  41. Ali AA, Yassin K, Omer R. Domestic violence against women in Eastern Sudan. BMC Public Health. 2014;14(1):1136.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Straus MA, Mickey EL. Reliability, validity, and prevalence of partner violence measured by the conflict tactics scales in male-dominant nations. Aggress Violent Behav. 2012. https://doi.org/10.1016/j.avb.2012.06.004.

    Article  Google Scholar 

  43. Kabagenyi A. Empowerment, partner’s behaviours and intimate partner physical violence among married women in Uganda. BMC Public Health. 2013;13:1112.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Kapiga S, Harvey S, Muhammad AK, Stöckl H, Mshana G, Hashim R, et al. Prevalence of intimate partner violence and abuse and associated factors among women enrolled into a cluster randomized trial in northwestern Tanzania. BMC Public Health. 2017;17:190.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Hutagalung F, Ishak Z. Sexual harassment: a predictor to job satisfaction and work stress among women employees. Procedia-Soc Behav Sci. 2012;65:723–30.

    Article  Google Scholar 

  46. Hejase HJ. Sexual harassment in the workplace: an exploratory study from Lebanon. J Manag Res. 2015;7(1):107–21.

    Google Scholar 

  47. Galu SB, Gebru HB, Abeb YT, Gebrekidan KG, Aregay AF, Hailu KG, Abera GB. Factors associated with sexual violence among female administrative staff of Mekelle University, North Ethiopia. BMC Res Notes. 2020: 13(1):15. doi: https://doi.org/10.1186/s13104-019-4860.

  48. Rahama MR, Jahan N. Sexual harassment in workplace in South Asia: a comparative study on Bangladesh, India, Nepal and Sri Lanka. IOSR J Bus Manna. 2015;17(6):49–57.

    Google Scholar 

  49. Hindin, M.J. Understanding women’s attitudes towards wife beating in Zimbabwe.Bull World Health Organ. 2003; 81:501 8. https://doi.org/10.1590/S0042-96862003000700008.

  50. Caetano, R, Field, C.A, Ramisetty-Mikler, S, McGrath, C. The 5-year course of intimate partner violence among white, Black, and Hispanic couples in the United States. J Interpers Violence. 2005; 20:e103957. https://doi.org/10.1177/0886260505277783.

  51. Renner, LM, Whitney, S.D. Examining symmetry in intimate partner violence among young adults using socio-demographic characteristics. J Fam Vol. l. 2010;25:91106. https://doi.org/10.1007/s10896-009-9273

  52. Nwobi U. Child domestic worker and education: the oguta community in imo stata, Nigeria experience International Journal of Management, Social Sciences, Peace and Conflict Studies (IJMSSPCS). 2021;4(1):289-302; ISSN: 2682-6135. https://www.ijmsspcs.com/index.php/IJMSSPCS/article/view/180.

  53. Sharma, V., Papaefstathiou, S., Tewolde, S., Amobi, A., Deyessa, N., Relea, B.,Scott, J. Khat use and intimate partner violence in a refugee population: a qualitative study in Dollo Ado, Ethiopia. BMC Public Health, 2020. 20:670. https://doi.org/10.1186/s12889-020-08837-9

  54. Lencha B, Ameya G, Baresa G, Minda Z, Ganfure G. Intimate partner violence and its associated factors among pregnant women in Bale Zone, Southeast Ethiopia: a cross- sectional study. PLoS One. 2019;14(5).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Karamagi CA, Tumwine JK, Tylleskar T. Heggenhougen, K. Intimate partner violence against women in eastern Uganda: implications for HIV prevention. BMC Public Health. 2006;6:284.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Wirtz AL, Perrin NA, Desgroppes A, Phipps V, Abdi AA, Ross B, Kaburu F, et al. Lifetime prevalence, correlates and health consequences of gender-based violence victimisation and perpetration among men and women in Somalia. BMJ Glob Health. 2018;3(4).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Izugbara C, Muthuri S, Muuo S, Egesa C, Franchi G, Mcalpine A, et al. They say our work is not halal: experiences and challenges of refugee community workers involved in gender-based violence prevention and care in Dadaab. Kenya J Refugee Studies. 2018;33(3):521–36.

    Article  Google Scholar 

  58. Wachter K, Horn R, Friis E, Falb K, Ward L, Apio C, et al. Drivers of intimate partner violence against women in three refugee camps. Violence Against Women. 2018;24(3):286–306.

    Article  PubMed  Google Scholar 

  59. Azanaw KA, Gelagay AA, Lakew AM, Teshome DF. Physical violence and associated factors among housemaids living in Debre-Tabor Town, Northwest Ethiopia: doesemployer alcohol intake increase housemaid violence? Int J Reprod Med. 2019Dec;12(2019):8109898. https://doi.org/10.1155/2019/8109898.

    Article  Google Scholar 

  60. Selic Polona, Pesjak Katja, Kersnik Janko. The prevalence of exposure to domestic violence and the factors associated with co-occurrence of psychological and physical violence exposure:a sample from primary care patients. BMC Public Health. 2011;11:621.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Adjah ESO, Agbemafle I. Determinants of domestic violence against women in Ghana. BMC Public Health. 2016;16:368.

    Article  Google Scholar 

  62. McKinney CM, Ceatario R, Harris TR. Alcohol availability and intimate partnerviolence among US couples. Alcoholism Clin Experim Research. 2008;33(1):169–76.

    Article  Google Scholar 

  63. Garcia-Moreno Claudia, Henrica Jansen A F M, Ellsberg Mary, Heise Lori, H Charlotte Watts. Prevalence of intimate partner violence: Findings from the WHO multi-country study on women’s health and domestic violence. Lancet. 2006;368(9543):1260–9.

    Article  PubMed  Google Scholar 

  64. Galvani S. Grasping the nettle: alcohol and domestic violence, 2010;2. Acquire. June2010;2010:42.

    Google Scholar 

  65. Foran H, O’Leary K. (2008), Alcohol and intimate partner violence: A meta-analytic Review. Clinical Psychol Rev. 2008;28(7):1222–34.

    Article  Google Scholar 

  66. Abby A, Zawacki Buck TO, Clinton M, McAuslan P. Alcohol and sexual assault. Alcohol Research Health. 2001;25(1):43–51.

    Google Scholar 

  67. Hove C, Parkhill M, Neighbors C, McConhchie J, Fossos N. Alcohol consumption and intimate partner violence among college students: the role of self- determination. J Studies Alcohol Drugs. 2010;71(1):78–85.

    Article  Google Scholar 

  68. Girmatsion F, Mulusew G. Intimate partner physical violence among women in Shimelba refugee camp, northern Ethiopia. BMC Public Health. 2012;12:125.

    Article  Google Scholar 

  69. Abeya SG, Afework MF, Yalew AW. Intimate partner violence against women in western Ethiopia: prevalence, patterns, and associated factors. BMC public health. 2011;11(1):1–8. https://doi.org/10.1186/1471-2458-11-913.

  70. Cantin M. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. Reviewing the latest version. Int J Med Surg Sci. 2014;1(4):339-46. https://revistas.uautonoma.cl/index.php/ijmss/article/view/216.

Download references

Acknowledgements

Our special thanks go to the Kombolcha Town administration, Kombolcha Town Social Affairs and to the Labor Office for their assistance and cooperation during data collection. The authors also acknowledge the data collectors, supervisors, and all the housemaids and their employers for their collaboration. We acknowledge Lisa Penttila for language editing of the manuscript.

Funding

Wollo University funded the research. The funder had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

MA, EA: Conceptualizations of the study, methodology, validation, statistical analysis, coordinated data collection and drafted the original manuscript; MA, AM, ETA: performed statistical analysis, and supervision; MA, HK, YM, EA: edited the manuscript; all authors read and approved the manuscript.

Corresponding author

Correspondence to Metadel Adane.

Ethics declarations

Ethics approval and consent to participate

All study methods were performed in accordance with the ethical principles of the Declaration of Helsinki [70]. Ethical clearance was obtained from the ethical review committee of the College of Medicine and Health Sciences, Wollo University. An official letter of permission was obtained from the Amhara Public Health Institute, Dessie Branch. The purpose of the study was explained to each study participant before written informed consent was obtained from each participant aged 18 years and older. For those under 18 years, verbal assent was obtained from their employers after describing the purpose and benefits of the study. We obtained informed consent for the minors below age 16 years following the guidelines as per Federal Democratic Republic of Ethiopia regulations of national research and ethical guidelines. The interviews were performed in private and secure places, usually in a room or other space without the employer present. Confidentiality of the responses was ensured throughout the research process. All data were stored in a secure place.

Consent for publication

Not applicable.

Competing interests

The authors declare that there are no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Adane, M., Kloos, H., Mezemir, Y. et al. Violence against housemaids in an Ethiopian town during the early phase of the COVID-19 pandemic: a cross-sectional study. BMC Women's Health 23, 485 (2023). https://doi.org/10.1186/s12905-023-02530-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12905-023-02530-w

Keywords