Although compelling evidence shows that exposure to intimate partner violence (IPV) during pregnancy is detrimental to both physical and mental health of the victims and their fetuses, studies on negative impact of IPV on antenatal care (ANC) services utilization are scarce.
Methods
The aim of the current study was to determine the impact of IPV exposure on ANC services utilization indicators such as (i) initiation of care within the first 3 months of pregnancy, (ii) receipt of at least four ANC visits and (iii) receipt of care from skilled providers among reproductive age women in Rwanda. This study used the data from the 2014–15 Rwanda Demographic and Health Survey. Multiple logistic regression was used to estimate the effects of physical and sexual IPV on the ANC services utilization indicators.
Results
Among married women living with their partners with at least one child aged 5 years or under (N = 5116), 17% of them reported physical violence, 22.8% reported psychological violence and 9.2% reported sexual violence. We found that there was a significant negative relationship between physical IPV and both early ANC and sufficient ANC. Women who had experienced physical violence by their partners during the preceding 12 months were less likely to receive more than four ANC visits, (O.R = 0.61, CI = 0.417–0.908) and they were less likely to attend the first ANC visits within the first 3 months (O.R = 0.656, CI = 0.445–0.967).
Conclusion
In this study, the prevalence of IPV still remains high and there is evidence that it does have significant impact on ANC. Therefore, the results provide support for continued efforts to reduce intimate partner violence, through the improvement of screening for IPV during ANC visits.
Hinweise
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Background
Intimate partner violence (IPV) refers to behavior within an intimate relationship that causes physical, psychological or sexual harm to those in the relationship [1]. Intimate partner violence is a global public health issue that affects about one third of women globally [2]. Global estimates of intimate partner violence perpetuated by men against women indicate that 30% of every partnered women worldwide have experienced physical and/or sexual violence by an intimate partner at some point in their lifetime [3]. The evidence shows that the overall prevalence rate of IPV during pregnancy in developed countries ranges between 10 and 20% [4]. Among developing nations, African countries have some of the highest rates of IPV during pregnancy with Gambia leading at 61%; followed by Zimbabwe (34%); Kenya, where it is estimated that 38% of women suffer from IPV in their lifetime [3]; and Ethiopia (25%) [4]. IPV prevalence and its effects were found to be worsened in post-conflict and resources limited setting like Rwanda due to low social support [5], burdened mental health problems [6], gender inequality and cultural and economic barriers [4, 7] that characterize these settings. Authors have revealed that IPV prevalence in Rwanda ranges from 16 to 50% and that it occurs in women and men even if women are more frequently and seriously affected [8, 9]. Rwanda is a patriarchal society, where IPV may be perceived as a confidential family matter and considered acceptable to keep the family together [8], despite gender-based violence (GBV) being widely recognized as a punishable offence in the Rwandan penal code. The stigma and discrimination that accompany victims of violence limit the ability of the Rwandan society to effectively address the GBV problem.
Violence against women was a central concern in this regard, and early studies on the relationship between violence against women and reproductive health in developing countries led to a greater understanding of the problem and its related adverse health outcomes [10]. Outcomes of IPV for pregnant women include pregnancy loss, HIV infection, stress, depression, pre-term delivery, abortion, stillbirth; as well as to giving birth to babies susceptible to low birth weight, illness, malnutrition and mortality [3, 11].
Anzeige
Women who experience IPV have myriad needs of services from different sectors, including antenatal care (ANC) service which is one of the best approaches to preventing poor pregnancy outcomes [1]. It was found that optimal ANC includes initiating care within the first 3 months of pregnancy, receiving at least four ANC visits and receiving care from skilled providers [12]. Antenatal care provides an opportunity to inform and educate pregnant women on important health issues including health promotion activities, screening and diagnosis [13]. It also offers an important platform to communicate with and support women, families and communities at a critical time in women’s life [14]. Thus, ANC is an essential component of birth preparedness complications readiness (BP/CR) matrix, a process of planning for normal birth and actions to be done in case of emergency. BP/CR matrix delineates “the roles of policymakers, facility managers, providers, communities, families, and women in ensuring that women and newborns receive appropriate, effective, and timely care” [4, 8]. Women and newborns need timely access to skilled care during pregnancy, childbirth and postpartum period [4, 8].
There has been an increase in the use of ANC services among pregnant women in low- and middle-income countries (LMICs) since 2002, but the evidence suggests that there remains a need to improve the quality of care that is given in ANC clinics and delivery [13]. According to the Demographic and Health Survey (DHS, 2014–2015) report, overall, four in ten women aged from 15 to 49 years reported exposure to “emotional, physical or sexual violence” from their intimate partners. Sexual violence committed by husband or partner was very common standing at 34 % and 20% of women aged 15–49 reported having exposed to sexual violence in their entire life. Evidence shows that women with at least five children are more likely to be exposed to physical violence (46%) than women with no children (23%) [15]. Mothers normally receive ANC services from health centers and district hospitals. Although severe cases are referred to the national referral hospitals, district hospitals have equipment and capacity to provide services related to ANC [14]. Authors have indicated that 99 % of Rwandan women received ANC from skillful health care providers (doctor, nurse, medical assistant, and midwife) [15], but the frequency of visits was lower than the standard set by World Health Organization (WHO) and the Rwandan Ministry of Health. In fact, only 44 % of mothers had at least four ANC visits. This proportion represents an increase from 13% in 2005 and 35% in 2010. Noteworthily, 56 % of women who went to their first ANC visit during the 1st trimester of pregnancy, as recommended by WHO [15].
Previous studies have documented the prevalence and correlates of IPV in large parts of the world based on different characteristics of a population, prevalence, and association of IPV with reproductive health issues [16]. IPV studies in developing countries mainly relied on data from their nationally representative Demographic and Health Surveys (DHS) [17]. Despite a pool of literature on the association of IPV exposure with low ANC services utilization in high income countries (e.g. USA [18], India [19], Honduras [12] and etc.) and few in developing countries (e.g. Nigeria [16], Mozambique [20], Ethiopia [21], Nepal [22] and etc.), there is a dearth of studies on the specific IPV exposure associated with reduced ANC services utilization especially in post-genocide countries. The primary goal of the current study is to analyze the effects of three specific IPV (i.e. physical IPV, emotional and sexual IPV) on ANC services utilization in Rwanda as post-genocide country. We hypothesized associations of exposure to emotional, physical and/or sexual IPV with ANC visits initiation within the first 3 months of pregnancy, having at least four ANC visits, and the receiving of care from skilled providers.
Materials and methods
Data source and sampling
Secondary data from the 2014–15 Rwanda Demographic Health Survey (RDHS 2014–15) was used in this sample. The RDHS survey was conducted by the National Institute of Statistics of Rwanda (NISR) from November 9, 2014, to April 8, 2015, using a stratified two stage cluster design. The first stage involved selecting sample points (clusters) consisting of enumeration areas (EAs) delineated for the 2012 Rwanda Population and Housing Census. A total of 492 clusters were selected, 113 and 379 in urban and rural areas (respectively). At the second stage, a sample of households was drawn in each EA using a systematic sampling. Within each sample point 26 households were selected, for a total sample of 12,792 households. Approximately, 13,564 women aged 15–49 years were eligible to complete the questionnaire. Of 13,497 women aged 15–49 years who had completed the questionnaire during the survey, only 5116 women met the inclusion criteria for this study giving a response rate of 37.71%. The participants were eligible if they were married, living together with their husband/partner and had at least one child aged 0–5 years.
Anzeige
Measures
Antenatal care service utilization
Antenatal Care services utilization was measured using three indicators: early ANC, sufficient ANC and skilled ANC providers. The early ANC is dichotomized into receiving early ANC services and delaying ANC services where ANC is considered to be early if a woman receives ANC visits within the first 3 months of pregnancy. Sufficient ANC is also evaluated as a dichotomized variable: receiving a sufficient ANC and receiving insufficient ANC where ANC is considered to be sufficient if a woman attended at least four ANC visits. Moreover, ANC providers were dichotomized into unskilled ANC providers (e.g. community health workers) and skilled providers (i.e. doctor, nurse, medical assistant and midwife).
Intimate partner violence
Intimate partner violence (IPV) was measured by items on physical (six items), sexual (four items) or emotional violence (two items) that were selected from the Women’s health and life experiences questionnaire, a validated questionnaire developed by the WHO for research on IPV experience [23]. This questionnaire was translated and back- translated into Kinyarwanda. This instrument has been shown to be cross-culturally valid [24‐26] in both men and women. Sample items for physical violence subscale were: (“1). Did your husband/partner ever kick you, beat you, drag you.., (“2). Did your husband/partner ever slap you.. and etc.”; and Sexual abuse subscale included (“1). Did your husband/partner ever physically forced you into unwanted sex.., (“2). Did your husband/partner ever force you into other unwanted sexual acts .. and etc. The emotional violence was assessed by the following two questions: (“1). Have you ever been insulted or made to feel bad by our partner/husband… and (“2). Have you ever been humiliated by your partner/husband or have you ever been threatened with harm by your partner/husband. Each item was scored on a dichotomous scale “yes” or “no”.
Sociodemographic questionnaire
Women’s Health and Life Experiences questionnaire assessed the ages of both women and their husbands/partners as well as collected information on education level, women’s literacy (illiterate versus literate), types of residence, religion and women’s occupation status. We also asked about mass media exposure, sterilization and wealth index.
Statistical analysis
Data was analyzed quantitatively using frequencies and percentages to describe the characteristics of ANC indicators, IPV and socio demographic factors (e.g., education level, residence, religion, occupation status, mass media exposure, province, age, parity and household size). For bivariate analysis, the Chi-Square test was utilized to examine the association in ANC services utilization indicators and forms of IPV via socio-demographic factors. In a multivariate analysis, after controlling for covariate factors, multiple logistic regression was used to examine whether emotional, physical or sexual IPV were associated with early ANC initiation, sufficient ANC and skilled ANC providers Where IPV was dichotomous coded variable (i.e. no = 0 and yes =1), No = 0 was chosen as a reference category in our multiple logistic regression. The covariates were chosen based on a purposeful selection process begun by a univariate analysis of each variable. Covariates were included based on results from Wald tests; those with p-values below .25 were retained [27]. All measures were presented as odd ratios (ORs), whereby an odd ratio greater than 1 is a positive association and an odd ratio less than 1 is negative association, with their 95% confidence intervals, and an odd ratio greater than 1 is a positive association and an odd ratio less than 1 is negative association, and fell within the 95% confidence interval. The Evaluation of the patterns of missing data indicated that data were missing completely at random with overall missing values of 3%. This rate was within the acceptable range (less than 5%) and it was replaced by median substitution as recommended by several researchers [28, 29]. However, the preliminary analysis illustrated no impact of missing data on the results of this study when they were replaced or not. All analyses were performed using the Statistical Package of Social Science (IBM SPSS Statistics 25).
Results
Most of sampled women were in rural areas (78.4%) and had a primary education level (70.9%) comparable to their husband’s primary education level (70.4%). The sample consisted largely of literate women (77.1%) and nearly all (99.5%) had a religion. Most of the sampled women were exposed to at least one type of mass media (86.4%) (Table 1). Regarding residential locations of the participants, 24.4% came from Eastern, 24.1% came from Western, and 23.8% came from Southern provinces, whereas, 15.8% come from Northern provinces with the remaining 11.9% coming from Kigali City. The mean parity was 4.46, with an average age of 31.59 years (Table 1). In the view of the IPV exposure, the majority experienced emotional (22.8%); 18.7% of all participants experienced physical violence; and only 8% of the sample reported experiencing sexual violence. The mean household size was 5.15 (Fig. 1).
Table 1
Distribution of variables considered in the analysis of relationship between IPV and ANC service utilization
Variables
Frequency
Percent
Women’s education
No education
785
15.4
Primary
3628
70.9
Secondary
542
10.6
Higher
161
3.1
Husband’s education
No education
830
16.3
Primary
3597
70.4
Secondary
467
9.1
Higher
212
4.1
Women’s literacy
Not able to read at all
1168
22.9
Able to read a part/whole sentence
3938
77.1
Type of place of residence
Urban
1105
21.6
Rural
4011
78.4
Women’s religion
No religion or other
24
0.5
Has a religion
5085
99.5
Women’s occupation
Not working/ don’t work
305
6
Working
4811
94
Exposure to mass media
No type of mass media
698
13.6
One type of mass media
2179
42.6
Two types of mass media
1432
28
Three types of mass media
780
15.2
Province
Kigali city
608
11.9
South
1218
23.8
West
1232
24.1
North
810
15.8
East
1248
24.4
Women’s age (Mean)
31.59
Husband’s age (Mean)
36
Wealth index (mean)
2.96
Parity (Mean)
4.45
Household’s size (Mean)
5.15
N= 5116
Fig. 1
Forms of Intimate Partner Violence (%)
×
In the current sample, the majority received ANC from skilled providers (97.01%), 58.7% received early ANC, and less than a half received at least four ANC visits during their most recent pregnancy (45.8%), (Fig. 2).
Fig. 2
Antenatal Care Service Utilization Indicators (%)
×
In model adjusting, we found a significant relationship between physical IPV and early ANC utilization and a sufficient number of ANC visits. There was no significant relationship between skilled ANC providers and IPV. While sexual IPV were not significant in all the three models, women who had ever experienced physical violence by their partners during the preceding 12 months were less likely to receive more than four ANC visits, (O.R = 0.6151, CI = 0.417–0.908) and they were less likely to attend the initial ANC visits within the first 3 months (O.R = 0.656, CI = 0.445–0.967), (Table 2).
Table 2
Adjusted odds ratios (aOR) and 95% confidence intervals (CIs) for associations between intimate partner violence (IPV) and antenatal care (ANC) among married women living together with partners with at least one child aged 5 years or younger, selected from Rwanda DHS 2014–15
Early ANC
Sufficient ANC
Skilled ANC providers
Adjusted OR(95% CI)
Adjusted OR(95% CI)
Adjusted OR(95% CI)
n = 4583
n = 4612
n = 4574
Ever experienced emotional IPV
No
1
1
1
Yes
0.945(0.656–1.360)
0.967(0.674–1.389)
1.073(0.348–3.306)
Ever experienced sexual IPV
No
1
1
1
Yes
1.068(0.653–1.746)
0.931(0.568–1.527)
0.500(0.162–1.550)
Ever experienced physical IPV
No
1
1
1
Yes
0.638(0.433–0.940)*
0.611(0.414–0.901)*
3.924(0.470–32.756)
Woman’s education
No education
0.428(0.100–1.8410
0.327(0.089–1.196)
4.507(0.424–47.868)
Primary
0.456(0.116–1.791)
0.343(0.103–1.142)
3.080(0.236–40.174)
Secondary
0.653(0.173–2.464)
0.367(0.115–1.165)
na
Higher
1
1
Husband’s education level
na
No education
0.576(0.196–1.709)
0.767(0.290–2.030)
Primary
0.669(0.237–1.894)
0.890(0.354–2.238)
Secondary
1.039(0.357–3.025)
0.837(0.327–2.146)
Higher
1
1
Woman’s literacy
Illiterate
1.097(0.712–1.689)
1.031(0.676–1.572)
0.175(0.017–1.836)
Literate
1
1
1
Area of residence
na
Urban
0.828(0.546–1.256)
0.942(0.662–1.343)
Rural
1
1
Province
Kigali city
0.469(0.284–0.775)*
1.271(0.775–2.086)
1.480(0.263–8.338)
South
1.174(0.815–1.690)
2.331(1.626–3.342)*
1.101(0.285–4.259)
West
0.909(0.639–1.293)
1.450(1.027–2.049)*
0.211(0.075–0.593)*
North
1.109(0.744–1.653)
1.607(1.091–2.368)*
2.998(0.343–26.174)
East
1
1
1
Exposed to mass media
na
na
No type
1.119(0.684–1.833)
One types
1.097(0.733–1.643)
Two types
1.123(0.741–1.702)
Three types
1
Woman’s current age
1.000(0.968–1.032)
1.002(0.971–1.035)
na
Husband/partner’s age
0.984(0.965–1.004)
0.983(0.964–1.004)
na
Wealth index
na
Poorest
0.667(0.383–1.161)
3.488(0.824–14.764)
Poorer
0.631(0.368–1.080)
1.918(0.548–6.719)
Middle
0.662(0.388–1.127)
3.577(0.793–16.128)
Richer
0.606(0.364–1.009)
0.815(0.267–2.487)
Richest
1
1
Household’s size
0.865(0.784–0.954)*
1.270(0.987–1.635)
Source: Table prepared by the author based on the analyses
Models were adjusted for woman’s age, husband’s age, woman’s education, husband’s education, woman’s literacy, area of residence, religion, women’s occupation, wealth index, household size, women’s mass media exposure and province
na Not applicable
*Pvalue < 0.05
Although, most of the covariates used are not statistically significant in our model (Table 2), according to our bivariate analysis (Table 3), covariates like: women’s and husband’s education level, wealth index, mass media exposure and types of residence were significantly associated with IPV (Table 4).
Table 3
Socio demographic characteristics and antenatal care service utilization by married women living with partner and had at least one aged 5 years or under, selected from Rwanda DHS 2014–15
Characteristics
Early ANC
Sufficient ANC
Skilled ANC providers
Yes
No
Yes
No
Yes
No
n (%)
n (%)
n (%)
n (%)
n(%)
n(%)
Women’s education
No education
324(12.2)
329(17.2)
256(12.10
406(16.3)
644(14.4)
8(7.8)
Primary
1875(70.5)
1411(73.6)
1500(71.1)
1803(72.2)
3196(71.5)
83(81.4)
Secondary
346(13)
152(7.9)
246(11.7)
254(10.2)
488(10.9)
10(9.8)
Higher
116(4.4)
26(1.4)
109(5.2)
34(1.4)
140(3.1)
1(1.0)
P value
0.00*
0.00*
0.113
Husband’s education
No education
362(13.6)
350(18.3)
293(13.9)
423(17)
13(12.7)
699(15.7)
Primary
1874(70.6)
1378(72.0)
1489(70.7)
1786(71.6)
76(74.5)
3168(71.1)
Secondary
267(10.1)
147(7.7)
201(9.5)
214(8.6)
10(9.8)
403(9.0)
Higher
152(5.7)
39(2.0)
122(5.8)
70(2.8)
3(2.9)
188(4.2)
P value
0.00*
0.00*
0.848
Women’s literacy
Not able to read at all
548(20.6)
454(23.8)
435(20.7)
579(23.2)
983(21)
16(15.7)
Able to read
2110(79.4)
1457(76.2)
1671(79.3)
1913(76.8)
86(84.3)
86(84.3)
P value
0.011*
0.036*
0.124
Type of place of residence
Urban
596(22.4)
382(19.9)
468(22.2)
518(20.7)
955(21.4)
21(20.6)
Rural
2065(77.6)
1536(80.1)
1643(77.8)
1979(79.3)
3513(78.6)
81(79.4)
P value
0.043*
0.24
0.848
Women’s religion
No religion
8(0.3)
8(0.4)
13(0.5)
5(0.2)
16(0.4)
0(0.0)
Has religion
2651(99.7)
1907(99.5)
2481(99.5)
2104(99.8)
4447(99.6)
102(100)
P value
0.782
0.304
0.813
Women’s occupation
Not working/ don’t work
126(6.6)
161(6.1)
120(5.7)
168(6.7)
5(4.9)
282(6.3)
Working
1792(93.4)
2500(93.9)
1991(94.3)
2329(93.3)
97(95.1)
4186(93.7)
P value
0.475
0.145
0.562
Province
Kigali city
279(10.5)
257(13.4)
223(10.6)
317(12.7)
526(11.8)
8(7.8)
South
677(25.4)
403(21)
572(27.1)
515(20.6)
1070(23.9)
9(8.8)
West
624(23.4)
495(25.8)
526(24.9)
604(24.2)
1049(23.5)
68(66.7)
North
445(16.7)
274(14.3)
351(16.6)
370(14.8)
711(15.9)
5(4.9)
East
636(23.9)
489(25.5)
439(20.8)
691(27.7)
1112(24.9)
12(11.8)
P value
0.00*
0.00*
0.00*
Exposed to mass media
No type
350(13.2)
279(14.6)
271(12.9)
365(14.7)
616(13.9)
12(11.9)
One type
1139(43)
825(43.3)
899(42.7)
1078(43.5)
1911(43.0)
51(50.5)
Two types
745(28.1)
524(27.5)
582(27.7)
690(27.8)
1237(27.8)
27(26.7)
Three types
414(15.6)
279(14.6)
351(16.7)
348(14.0)
681(15.3)
11(10.9)
P value
0.471
0.043*
0.41
Women’s age (Mean)
30.29
31.79
30.59
31.2
30.92
30.8
P value
0.00*
0.199
0.885
Husband’s age (Mean)
34.48
36.32
34.78
35.67
35.27
34.17
P value
0.00*
0.063
0.971
Wealth index (mean)
2.99
2.88
2.99
2.91
2.95
2.89
P value
0.04*
0.437
0.183
Parity (Mean)
4.24
4.65
4.32
4.52
4.41
5
P value
0.375
0.133
0.862
Household’s size (Mean)
4.86
5.35
4.91
5.2
5.06
5.07
P value
0.00*
0.00*
0.904
Source: Table prepared by the authors based on their analyses
*P-value < 0.05
Table 4
Socio demographic characteristics and Intimate Partner Violence by married women living with partner and had at least one aged 5 years or under, selected from Rwanda DHS 2014–15
Characteristics
Any physical IPV
Any sexual IPV
Any emotional IPV
Yes
No
Yes
No
Yes
No
n (%)
n (%)
n (%)
n (%)
n(%)
n(%)
Women’s education
No education
31(13.7)
147(14.9)
17(17.3)
161(14.3)
42(15.1)
135(14.3)
Primary
184(81.1)
714(72.2)
71(72.4)
833(74.1)
221(79.2)
685(72.5)
Secondary
10(4.4)
108(10.9)
8(8.2)
110(9.8)
14(5.0)
105(11.1)
Higher
2(0.9)
20(2.0)
2(2.0)
20(1.8)
2(0.7)
20(2.1)
P value
0.009*
0.83
0.007*
Husband’s education
No education
47(20.8)
147(14.9)
15(15.3)
180(16.1)
65(23.4)
130(13.8)
Primary
167(73.9)
716(72.6)
75(76.5)
813(72.6)
195(70.1)
694(73.7)
Secondary
10(4.4)
88(8.9)
7(7.1)
92(8.2)
18(6.5)
81(8.6)
Higher
2(0.9)
35(3.5)
1(1.0)
35(3.1)
0(0.0)
37(3.9)
P value
0.005*
0.741
0.00*
Women’s literacy
Not able to read at all
54(23.9)
225(22.8)
23(23.5)
256(22.9)
65(23.3)
214(22.7)
Able to read
172(76.1)
761(77.2)
75(76.5)
864(77.1)
214(76.7)
727(77.3)
P value
0.729
0.89
0.846
Type of place of residence
Urban
30(13.2)
201(20.3)
18(18.4)
215(19.1)
45(16.1)
189(20.0)
Rural
197(86.8)
788(79.7)
80(81.6)
909(80.9)
234(83.9)
756(80.0)
P value
0.014*
0.854
0.149
Women’s religion
No religion
0(0.0)
2(0.2)
0(0)
2(0.2)
1(0.4)
1(0.1)
Has religion
227(100.0)
986(99.8)
98(100)
1121(99.8)
278(99.6)
943(99.9)
P value
0.708
0.877
0.566
Women’s occupation
Not working/ don’t work
7(3.4)
68(6.7)
6(6.1)
68(6.0)
14(5.0)
61(6.5)
Working
200(96.6)
946(93.6)
92(93.9)
1056(92.0)
265(95.0)
884(93.5)
P value
0.24
0.977
0.397
Exposed to mass media
No type
45(19.9)
131(13.3)
19(19.6)
158(14.1)
49(17.7)
27(13.5)
One type
100(44.2)
442(45.0)
41(42.3)
502(44.9)
120(43.3)
425(45.2)
Two types
53(23.5)
266(27.1)
26(26.8)
295(26.4)
75(27.1)
247(26.3)
Three types
28(12.4)
144(14.6)
11(11.3)
163(14.6)
33(11.9)
41(15.0)
Pvalue
0.007*
0.454
0.237
Women’s age (Mean)
1.07
31.46
30.77
31.75
30.54
Pvalue
0.961
0.709
0.004*
Husband’s age (Mean)
35.01
35.04
35.57
34.99
36.66
34.56
Pvalue
0.356
0.575
0.007*
Wealth index (mean)
2.55
3.01
2.76
2.94
2.68
2.99
Pvalue
0.00*
0.465
0.022*
Parity (Mean)
4.5
4.22
5
4.88
4.38
4.2
Pvalue
0.786
0.103
0.146
Household’s size (Mean)
4.83
4.91
5.02
5.15
5.05
4.84
Pvalue
0.802
0.819
0.712
Source: Table prepared by the author based on their analyses
*Pvalue < 0.05
Discussion
To the best of our knowledge, this is the first study to investigate the relationship between different types of IPV (i.e. physical, sexual and emotional violence) and ANC services utilization in Rwanda. As predicted, we found that there was a significant negative association of physical IPV with both early ANC and sufficient ANC. Regarding the ANC services utilization, this study found that 97.7% of the current sample had received ANC services from skilled providers. Further, 46 % received at least four ANC visits during pregnancy time and 58.1% received early ANC. The prevalence of attending at least four or more ANC visits appears to be lower in Rwanda than those reported in some other East African countries like Zimbabwe (75.7%), Uganda (60%), Kenya (57.6%) and Zambia (56%) [30]. The difference observed could be due to post-genocide situation of Rwanda in terms of low social support [4] and elevated mental health problems [31, 32]. This undeniably life-altering event left many women without parents, siblings, external relatives and friends (i.e., their supportive network) for they have perished. Resultantly, expecting mothers may not have someone who physically lives at home with them when they have to go to seek ANC services. With the role of support from significant others or family members embodying understanding, sympathy and communication, which may positively affect ANC services attendance. Furthermore, throughout the region, high rates of Posttraumatic stress disorder (PTSD), depression, and other psychological disorders have been observed following the 1994 genocide perpetrated against Tutsi [26, 33] which in turn lead to high risks of violence committed against women [6, 34] and poor ANC utilization [31, 32].
Similar to other studies using large samples, we found a greater prevalence of emotional victimization (22.8%) than physical (18.7%) and sexual (8%) victimizations among our sample of pregnant women. A study conducted in Uganda found that the rate of emotional violence (40%) was higher than sexual violence (23%) in married women [35]. A greater prevalence of emotional violence (29%) than physical victimization (6%) was also found in a sample of American pregnant women [36]. Despite observing higher percentages, the prevalence of different types of IPV reported in this study were still smaller than those found in many community-based samples. It was found that the rate of physical IPV in women was 37% in Kenya [], 41% in Uganda [35], 38% in Egypt [12], 48% in Bangladeshi and 48.8% in Zambia [12]. They further indicated that in sub-Saharan Africa the prevalence of emotional IPV in women ranged from 7% in Comoros to 40.1% in Cameroon, while sexual IPV ranged from 3% in Moldova to 26% in Bangladesh [12].
Anzeige
Despite these differences, our results indicate an alarming amount of emotional victimization experienced by pregnant women, which may be explained by spousal age difference. The tradition of male dominance in marriage, which remains prevalent in Rwanda, may be attributed to: men having a strong preference to marry women younger than themselves or the common attempt by men in creating an avenue for men to exercise power as the family head [38]. Marriages with substantial age gap may lead to emotional violence due to differences in maturity and differences in opinions [39]. Worryingly, different authors found that emotional victimization was significantly associated with poorer maternal health and depression, and child’s health and temperament [36].
As predicted and similar to prior studies, the bivariate analysis revealed that socio-demographic characteristics such as age of women, rural residence [40, 41], women and husband’s education level [42] were significantly associated with early ANC or sufficient ANC. The current study demonstrates that the education and economic level of most women and their husbands were very low although husbands seemed to have a better status than wives in these aspects. In contrast, authors have found that there is no significant association between early ANC and women’s education [40, 41]. Another study assessing the factors related to utilization of ANC services in Vietnam demonstrated that age did not affect its utilization [43]. Our results could be explained by a greater self-efficacy gained from the experience of prior pregnancies among upper aged women; therefore, the ones who give birth to their first child without any complication are more likely to make insufficient ANC visits during subsequent pregnancies [44].
Moreover, Saad-Haddad et al. has found an association between women’s education level and having a higher frequency (> 4) of ANC visits [45]. Different authors have highlighted that women in the higher age group who are either single, divorced, separated or widowed women were at a higher risk of making two or less visits to ANC services [4]. Furthermore, women with poor social networks (e.g. no significant others, or close friends to assist when in need) were found to be at risk of poor utilization of ANC services. However, school attendance or household assets, as a proxy for socioeconomic status, were not found to be associated with poor utilization of ANC services [4]. Further investigations should consider other additional socio-demographic factors including awareness of ANC services, distance between home and health facility and planned Pregnancy (as opposed to an unplanned pregnancy) and age at first visit.
The bivariate analysis also revealed that women’s and husband’s low education level, rural residence, low exposure to mass media and poor wealth index were associated with physical IPV. Similar to our findings, substantial body of literature has indicated that woman’s and husband’s low education levels, poor wealth index [46, 47], rural residence and low exposure to mass media were and live in a rural residential setting are contributing factors associated with physical IPV [12]. Frequent exposure to mass media seemed to increase women’s exposure to IPV in the current sample. In support of this contention, a study conducted in Bangladesh showed that frequent exposure to newspaper, magazine or television was negatively connected with justifying IPV; while exposure to radio was positively connected [48].
Anzeige
Unexpectedly, our findings demonstrated that all socio-demographic characteristics of women and their partners were not associated with sexual IPV. However, our findings highlighted that only low education levels of women and their husband were significantly linked to emotional IPV when all socio-demographic characteristics were considered. Inconsistently, prior studies indicated that older age and poor wealth index were associated with emotional IPV [38, 49, 50]. Although physical abuse is suggested to diminish with age, prevalence of emotional abuse appears to be constant over the lifetime [38].
Even though several studies have found a significant relationship between physical IPV and receiving services from skilled ANC providers [46, 51], our model which was adjusted for covariates failed to find a significant association between the two (physical IPV and receiving skilled ANC providers).
Different scholars found that physical IPV was significantly related to sufficient ANC and early ANC [51, 52] which is in congruence with our findings. However, our present study is best supported with investigation conducted by Koski et al. which indicated that women who experienced physical IPV were less likely to initiate early ANC and less likely to receive four or more than four ANC visits consistent to our present study [46, 53].
Limitations
Although Rwanda Demographic Health Survey (DHS) dataset is well documented, well known and tested by researchers, during our analysis, we found that some of the attributes were not available i.e. the employment status of respondents which would’ve been an important covariates in the sample. There were also limitations in accessing similar studies on IPV violence and ANC services utilization that are based in Rwanda-- which only further revealed the gap that exists in the literature review. Furthermore, some attributes had missing values which can have a significant effect on drawing conclusion; however, the overall missing values of 3% reported in the current study was in the acceptable range (less than 5%) and was replaced by median substitution [28, 29]. The last limitation of this study was measurement limitation i.e. variables of interest were dichotomized which prevented an evaluation of graded effects of IPV on ANC.
Anzeige
Conclusion
The findings of the present study indicate a significant association between physical intimate partner violence (IPV) and antenatal care services utilization indicators of early ANC service and sufficient ANC. Emotional and sexual IPV were not significant after controlling for several socio-demographic characteristics (i.e. women’s educational level, partner’s education level, women’s literacy, residence, mass media exposure, religion, age, household size, wealth index and province); though most of them were not statistically significant as well. Therefore, this analysis provides support for continued efforts to reduce intimate partner violence, through the improvement of screening for IPV. These results also call attention to the need for greater access to ANC services, especially for women with the characteristics of this sample (primarily rural, East-African, and residing in a post-genocide country).
Acknowledgements
We gratefully acknowledge the contribution of the National Institute of Statistics in Rwanda who provided access to data which was used in this research.
Declarations
Ethics approval and consent to participate
The Rwanda Demographic Health Survey (RDHS) data that was used in the analysis was secured, free and publicly accessible for the researchers (https://microdata.statistics.gov.rw/index.php/catalog). Procedures used and the standard DHS survey used were reviewed and approved by the Rwanda National Ethics Committee, and the Institutional Review Board of ICF International. The Institutional Review Board of ICF ensures that the survey complies with the U.S Department of Health and Human Services regulations for the protection of human subjects while the Host country’s institutional review board (IRB) ensures that the survey complies with laws, ethics and norms of the nations. All procedures were performed in accordance with the principles of ethical standards according to the Declaration of Helsinki.
Consent for publication
Not applicable.
Competing interests
The authors declare that there is no conflict of interest.
Open AccessThis 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.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Trastuzumab deruxtecan scheint auch jenseits von Lungenkrebs gut gegen solide Tumoren mit HER2-Mutationen zu wirken. Dafür sprechen die Daten einer offenen Pan-Tumor-Studie.
Frauen mit lokalem oder metastasiertem Brustkrebs, die Statine einnehmen, haben eine niedrigere krebsspezifische Mortalität als Patientinnen, die dies nicht tun, legen neue Daten aus den USA nahe.
Welche Antibiotika darf man bei unkomplizierter Zystitis verwenden und wovon sollte man die Finger lassen? Welche pflanzlichen Präparate können helfen? Was taugt der zugelassene Impfstoff? Antworten vom Koordinator der frisch überarbeiteten S3-Leitlinie, Prof. Florian Wagenlehner.
Das Risiko, nach einem Gestationsdiabetes einen Typ-2-Diabetes zu entwickeln, hängt nicht nur von der Zahl, sondern auch von der Reihenfolge der betroffenen Schwangerschaften ab.
Update Gynäkologie
Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.
