Literature DB >> 31455400

Mistreatment of women in public health facilities of Ethiopia.

Ephrem D Sheferaw1,2, Young-Mi Kim3,4, Thomas van den Akker5, Jelle Stekelenburg3,6.   

Abstract

BACKGROUND: Recent evidence suggests that mistreatment of women during childbirth is a global challenge facing health care systems. This study seeks to explore the prevalence of mistreatment of women in public health facilities of Ethiopia, and identify associated factors.
METHODS: A two-stage cross sectional sampling design was used to select institutions and women. The study was conducted in hospitals and health centers across four Ethiopian regions. Quantitative data were collected from postpartum women. Mistreatment was measured using four domains: (1) physical abuse, (2) verbal abuse, (3) failure to meet professional standards of care, and (4) poor rapport between women and providers. Percentages of mistreatment and odds ratios for the association between its presence and institutional and socio demographic characteristics of women were calculated using bivariate and multivariable logistic regression modeling.
RESULTS: A total of 379 women were interviewed, of whom 281 (74%) reported any mistreatment. Physical and verbal abuse were reported by 7 (2%) and 31 (8%) women interviewed respectively. Failure to meet professional standards of care and poor rapport between women and providers were reported by 111 (29%) and 274 (72%) women interviewed respectively. Multivariable logistic regression analysis revealed that the odds of reporting mistreatment were higher among women with four or more previous births (aOR = 3.36 95%CI 1.22,9.23, p = 0.019) compared to women with no previous childbirth, Muslim women (aOR = 3.30 95%CI 1.4,7.77, p = 0.006) and women interviewed in facilities with less than 17 births per MNH staff in a month (aOR = 3.63 95%CI 1.9,6.93, p < 0.001). However, the odds of reporting mistreatment were lower among women aged 35 and older (aOR = 0.22 95%CI 0.06, 0.73, p = 0.014) and among women interviewed between 8 and 42 days after childbirth (aOR = 0.37 95%CI 0.15, 0.9, p = 0.028).
CONCLUSION: Mistreatment during childbirth in Ethiopia is commonly reported. Health workers need to consider provision of individualized care for women and monitor their experiences in order to adjust quality of their services.

Entities:  

Keywords:  Disrespect and abuse; Ethiopia; Mistreatment; Respectful maternity care

Mesh:

Year:  2019        PMID: 31455400      PMCID: PMC6712647          DOI: 10.1186/s12978-019-0781-y

Source DB:  PubMed          Journal:  Reprod Health        ISSN: 1742-4755            Impact factor:   3.223


Plain English summary

Recent evidence suggests that mistreatment of women during childbirth is a global challenge facing health care systems. This study seeks to explore the level of mistreatment of women in public health facilities in Ethiopia and identify associated factors. The study was conducted in hospitals and health centers across four Ethiopian regions. Quantitative data were collected from postpartum women. Mistreatment was measured using four domains: (1) physical abuse, (2) verbal abuse, (3) failure to meet professional standards of care, and (4) poor rapport between women and providers. A total of 379 women were interviewed, of whom 281 (74%) reported any mistreatment. Physical and verbal abuse were reported by 7 (2%) and 31 (8%) women interviewed respectively. Failure to meet professional standards of care and poor rapport between women and providers were reported by 111 (29%) and 274 (72%) women interviewed respectively. The odds of reporting mistreatment were higher among women aged less than 25 compared to women aged 35 and above, those with four or more previous births compared to no previous birth, and also in those who gave birth in facilities with fewer (less than 17) births per MNH staff in a month. Mistreatment during childbirth in Ethiopia is commonly reported. Health workers need to consider provision of individualized care for women and monitor their experience in order to adjust quality of their services.

Introduction

The third Sustainable Development Goal aims to reduce the maternal mortality ratio (MMR) to below 70 per 100,000 live births in all countries by 2030 [1]. Ensuring access to skilled birth attendance in well-functioning health facilities is a widely-accepted strategy to prevent maternal mortality [2] . Recent studies in low- and middle-income countries on experiences of women during childbirth in health facilities have revealed unacceptable practices including disrespectful, abusive or neglectful treatment [3-6]. These experiences of mistreatment are identified as reasons for low institutional birth rates [7-10]. Ethiopia saw a dramatic decline in MMR from 1400 to 420 per 100,000 live births between 1990 and 2013 [11]. Despite this progress, the MMR remains unacceptably high. Ensuring access to maternity care by skilled providers working in a functional health facility forms the basis of the strategy formulated by the Federal Ministry of Health of Ethiopia to reduce maternal mortality. As part of this strategy, a large number of health centers and hospitals were built and staffed by essential health care providers over the past decade. Coverage of births attended in health facilities increased from 7 to 62% between 2007 and 2015 [12, 13]. The Ethiopian health system is structured into three tiers: primary, secondary and tertiary levels. The primary care level includes primary hospitals, health centers and health posts. The secondary level includes general hospitals and the tertiary level comprises specialized hospitals [14]. Most of the expansion in the health sector over the past decade occurred at the primary level [15, 16]. Although the Ministry of Health promotes the provision of compassionate and respectful care in these facilities, which includes individualized and culturally sensitive care for all women [17], some studies in Ethiopia indicate that physical and verbal abuse, non-consented care and lack of consideration of cultural practices related to childbirth by health workers may take place, possibly compounded by the increasing pressure on the health system due to the growing number of facility births [10, 18]. In this way, disrespectful and abusive behaviors by health providers during childbirth, which are known to be a significant barrier to increasing facility based births, could be a threat to the gains made in coverage of skilled birth attendance and to reductions of maternal mortality [19, 20]. Understanding the prevalence of mistreatment in Ethiopian maternity care facilities is therefore critical. Studies to date are limited in number, conducted in a limited geographic area or fail to apply similar definitions. In a previous study in a hospital and two health centers in Addis Ababa, 78% of respondents experienced one or more categories of disrespect and abuse including violation of the right to information, informed consent, and choice of position during childbirth [21] A study in four health centers in Amhara and SNNP regions, 21.1% of women reported occurrence of any disrespect and abuse [22]. A study using provider-client observations in 28 facilities across the four most populous regions in Ethiopia showed that 36% of women experienced any mistreatment [23]. On the other hand, a community based assessment in Tigray region reported that 22% of women experience mistreatment during childbirth in health facilities [24]. This study aimed to generate evidence on the prevalence of mistreatment of women in public health facilities as reported by women in Ethiopia and identify factors that may contribute to such mistreatment.

Materials and methods

Design

The study used a cross-sectional two-stage sampling design with quantitative data collection methods.

Setting

The study was conducted in June 2016, in 38 public hospitals and health centers across 4 regions in Ethiopia- Oromia, Amhara, Southern Nations Nationalities and Peoples (SNNP) and Tigray. Interviews were conducted in public hospitals and health centers in both urban and rural areas.

Data collection

Twelve data collectors, who were external to and clearly expressed not to be part of facility staff with a minimum of a BSc degree qualification, conducted the recruitment in postnatal and immunization units. Data collectors interviewed women in a private area within the premises of the health facilities immediately after childbirth or after women attended immunization and postnatal care services. Quantitative data on health facility policy were collected from facility managers and maternity unit leaders. Four supervisors and two coordinators from the Maternal and Child Survival Program (MCSP) and the Ministry of Health coordinated the data collection process. Data collectors were external to the health facilities assessed. Study coordinators ensured that data collectors were competent in the application of the standardized tools for data collection. All data collectors attended a three-day training workshop in Addis Ababa to ensure that they were oriented to scientific and ethical standards.

Participants

Maternity unit leads were interviewed about facility-related policies such as allowing non-harmful cultural practices during childbirth in health facilities and allowing women to choose their preferred birthing position. Women who had used skilled birth attendance services in public health facilities from 6 hours to 3 months prior to the start of data collection were included and interviewed about their birthing experiences.

Data sources

Since no validated tool for measuring mistreatment of women at the time of data collection was present in the literature, the study team utilized a structured interview tool for postpartum women adopted from the Population Council Heshima project that was piloted in Kenya and previously applied in Kenya, Tanzania and Ethiopia [16, 25]. The exit interview tool captured four of the seven types of mistreatment. These are: 1. Physical abuse, 2. Verbal abuse, 3. Failure to meet professional standard of care and 4. Poor rapport between women and providers [26]. For facility-related policy assessment, a survey tool was developed by the study team. The tools used are included in Additional files 1 and 2. The outcome variable was any mistreatment, measured as a binary (yes/no) variable, which was defined as being present if any of the four categories of mistreatment was reported. Physical abuse included hitting, slapping or pinching. Verbal abuse included shouting, scolding, threatening to take women into the operating theatre or addressing women using insulting names. Failure to meet standards of care included neglecting women when they needed care at some point during labor and childbirth, ignoring women’s requests for pain relief, providing treatment without consent and providing care that violated privacy of women. Poor rapport between women and providers included not greeting women, not explaining the labor progress, not responding to women’s questions in a polite manner, not encouraging women to move around freely, not allowing women to bring a companion, not allowing women to give birth in their preferred birth position and not offering hot drinks or food after childbirth. Based on literature review and expert judgment of the investigators the following explanatory variables were assessed: socio demographic characteristics of women including age, educational status, marital status, employment status, number of previous births, religion, residence, antenatal care, follow-up visit, time of childbirth and interval between time of interview and childbirth. Similarly, facility-related explanatory variables such as facility type, a policy of organizing facility visits for pregnant women, a policy of reporting providers’ misconduct, number of births per maternity care worker, and the proportion of maternity care providers trained in BEmONC were assessed.

Sampling

The sample size calculation for the client interview used assumptions of 95% level of confidence, variability of attributes related to Disrespect and Abuse (D&A) with a proportion of 0.14 (using the MCHIP study estimate of self-reported D&A prevalence in the same regions in 2014 [27]), and an anticipated non-response rate of 10%, plus or minus 4 percentage points of relative error (which is equivalent to 0.56% absolute margin of error), 10% non-response rate and using Design Effect (DE) of 1.2 since there were no estimates of DE from previous studies [28]. Using these statistical parameters, the total number of participants required for client interviews was 382. However, we planned to interview 380 women by allocating an equal number of ten clients from each facility using the strategy described below. Sampling was conducted in two stages. First, 85 hospitals and 751 health centers that have an average of 60 births per month from the national health management information systems report were listed as sampling frame. These facilities were categorized into two groups, high volume and low volume facilities, using the median number of attended births per month; using power allocation 11 hospitals and 27 health centers (19 from high volume and 19 from low volume) were selected randomly using a systematic random sampling approach. In the second stage of sampling, 10 women from each selected facility were selected randomly in postnatal and immunization units. All clients that fulfilled inclusion criteria, having attended childbirth services in selected health facilities between 6 hours to 3 months prior to the interview were invited.

Data analysis

The study team leader supervised data entry and cleaning. Data were entered using EPI data software and exported to Stata 15.0 for further statistical analysis [29]. Before data analysis was started, the presence of extreme values was assessed using standardized scores of independent variables. Similarly, the effect of influential cases and leverage cases were assessed using residual analysis. Frequencies and percentages of client background characteristics and birth experiences, availability of facility policies related to respectful maternity care (RMC) and components of mistreatment disaggregated by health center and hospital were calculated. Bivariate analysis was performed to detect statistically significant associations between the outcome variable (mistreatment of women) and explanatory variables in the study group. Multivariable multilevel logistic regression analysis was used to identify factors associated with mistreatment of women. A P-value less than 0.25 in the binary analysis was used as the criterion to include a variable into the multivariable regression model. The explanatory variables included in the binary and multivariable regression were women’s individual characteristics (age, education level, religion, marital status, parity, residence, time of birth and presence of complications at birth). Health facility characteristics recorded were proportion of maternal and child health care (MCH) providers trained in Basic Emergency Maternal Obstetric and Newborn Care (BEmONC), number of birth per MCH provider, availability of a policy of providing a tour for pregnant women around the maternity unit and availability of a policy of anonymous reporting of providers’ misconduct. The effect sizes of individual and facility level factors on the reported mistreatment of women were expressed in crude odds ratios (OR) and adjusted odds ratios (aOR), with their respective 95% Confidence Intervals (CI).

Ethical considerations

This study was approved by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board in Baltimore, Maryland, USA. The institutional review board ruled the protocol exempt from review under 45 CFR 46.101(b)(5). The study was further approved by the national Ministry of Health and the regional health bureaus of Amhara, Oromia, Tigray and SNNPR. Structured interviews of women were conducted in a private area after receiving oral informed consent. The client consent forms were translated into and administered in the Amharic, Tigrigna and Afan Oromo languages.

Results

A total of 379 women were interviewed in 27 health centers and 11 hospitals in Oromia, Amhara, Tigray and SNNPR regions. Among 380 women we planned to interview, we could not interview three women in one of the hospitals because of temporary civil unrest in the town and an additional two women were interviewed in two other health centers. A majority, 73 of the 107 (68%) participants interviewed in hospitals were urban residents compared to only 121 of the 272 (44%) participants interviewed in health centers. The percentage of women interviewed in the first week after childbirth was higher in health centers compared to hospitals (41% vs. 11%) (Table 1).
Table 1

Background characteristics and birth experience of respondents

VariablesTotal (N = 379)Health Centers (N = 272)Hospitals (N = 107)
NPercentNPercentNPercent
Residence Location
 Urban19451121447368
 Rural18549151563432
Residence region
 Tigray40112072019
 Amhara1002670263028
 Oromia13937112412725
 SNNPR1002670263028
Age
  < 2516744116435148
 25–3417747129484845
 35+349261087
Education - ever attended school27873192718680
 Highest level of school attended
  Informal education/can read and write736311
  Primary (1–8)13750106563136
  Secondary863151273541
TVET/College/University461727141922
Religion
 Muslim1072887322019
 Orthodox Christian19552130486561
 Other Christian (protestant, catholic etc)762055202120
Marital status
 Never married / Single/divorced1238344
 Currently married or co-habiting366972639710396
Employment status
 Not employed /house wife26470199736561
 Employed972661233634
 Student17411466
Parity - births ever had including most recent
 116243104385854
 2–31153085313028
 4 +1022783311918
Duration between birth and interview
 Less than a week731929414411
 1–6 weeks1363699353736
 7–12 weeks17045144242653
Time of birth
 Night time17947131454848
 Day time (6:00 AM-6:00 PM)19953140555952
Background characteristics and birth experience of respondents Table 2 describes policies on RMC in the facilities. Health facility managers and maternity unit leaders reported existence of most of the policies on RMC. The least reported policies were allowing non-harmful cultural rituals in health facilities (reported in 23 (85%) health centers and 4 (36%) hospitals) and allowing women a choice of birthing position (in 20 (74%) health centers and 6 (55%) hospitals).
Table 2

Availability of Facility based Policies on Respectful Maternity Care, N = 38

Availability of Policy related to RMCTotal (n = 38)Health Center (n = 27)Hospital (n = 11)
N%N%N%
Freedom of movement during labor (i.e., walking around)381002710011100
Prevention of institutional violence against women and newborns381002610012100
Requirement of informed consent for procedures3695259311100
Keeping the newborn with the mother immediately after the birth34892593982
Admission of family members/ person of choice to accompany women during labor/childbirth33872489982
Keeping mother and baby together in the facility34892593982
Policy of allowing non harmful cultural rituals in the facility27712385436
Allowing women a choice of position for birth26682074655
Availability of Facility based Policies on Respectful Maternity Care, N = 38 Types of mistreatment reported by women, N = 379 • P-values are from logistic regression ** three missing cases Logistic regression analysis of socio-demographic variables of women and Environmental characteristics on the reported mistreatment of women * Ref: Reference group. aOR: Adjusted odds ratio, * Statistically significant at Alpha = 0.05 Table 3 describes the level of self-reported mistreatment of women. Overall, three out of four women (74%, n = 281) reported any mistreatment during their latest childbirth experience in health facilities, with women in hospitals and health centers reporting 87 and 69% respectively.).
Table 3

Types of mistreatment reported by women, N = 379

CategoriesTotalHealth centerHospitals
N%N%N%
Any mistreatment28174188699387
Physical abuse: hit /slapped/pinched by the provider**725222
Verbal abuse: shouted at, scolded, threatened with going to operating theatre, called by insulting name3182071110
Failure to meet professional standards of care: (at least one of the 4)1112980293129
Neglect: Client left unattended when needed care at any point in stay391028101110
Client’s request for pain medication was ignored: (among those that requested it; N = 117, Health Center = 80, Hospital =37)43373645719
Non-consented care: Any treatment done without women’s permission**591638142120
Non-confidential care: At any point during Labor and childbirth stay client were treated in a way that violated privacy246.3186.665.6
Poor Rapport between women and providers: (at least one of the 7)27472181679387
Poor Reception: The health workers did not greet woman when she came to this facility during Labor and childbirth641741152321
No Explanation during labor: The health workers did not explain the next steps during Labor and childbirth to clients18148154434441
Not Responding to questions: The health workers did not respond to clients’ questions politely2121624151418
Free Movement not encouraged: Health workers do not encourage women to walk and change positions during Labor and childbirth1133073734063
Not Allowing Birth companion during labor1052869253634
Birth Position of women choice was not respected: The health workers did not allow women to give birth in the position they wanted during Labor and childbirth21756142517569
Food and drink not offered: After childbirth, women were not offered hot drinks or food621639142321

• P-values are from logistic regression ** three missing cases

Physical abuse and verbal abuse were the least prevalent experiences of mistreatment reported by seven (2%) and 31 (8%) women respectively. Failure to meet standards of care (neglect, non-consented care, non-confidential care and pain relief ignored) was reported by 29%. On the other hand, poor rapport between women and providers was the most prevalent form of mistreatment, reported by 72% of the women. Standardized scores of independent variables confirmed that there were no extreme values. Similarly, residual analysis suggested the absence of influential and leverage cases. Table 4 describes bivariate and multivariable logistic regression analysis of possible predictors of mistreatment of women.
Table 4

Logistic regression analysis of socio-demographic variables of women and Environmental characteristics on the reported mistreatment of women

Bi-variableMultivariable
MistreatmentOR[95% CI]P-valueaOR[95% CI]P-value
Age category (ref: < 25)
 25–341.510.73,3.110.2661.000.47,2.130.999
 35+0.680.23,2.040.4910.220.06,0.730.014*
Marital status (ref: Currently married)
 Single or divorced1.750.18,17.50.633
Parity (Ref. 1)
 2 to 30.620.28,1.370.2390.940.44,1.980.867
 4+1.800.75,4.330.1893.361.22,9.230.019*
Education level (ref: TVET/College/University.)
 informal/no education1.960.05,81.710.724
 Primary (1–8)1.720.41,7.260.462
 Secondary0.660.16,2.670.557
Religion (ref: Orthodox Christian)
 Muslim3.240.95,11.130.0613.301.4,7.770.006*
 other Christians (Prot., catholic)1.390.32,6.110.6621.610.63,4.090.317
Facility (ref: Health center)
 Hospitals9.631.25,74.260.032.090.92,4.760.077
Region
 igray2.040.11,36.560.631.210.35,4.20.759
 Amhara0.880.12,6.650.9031.670.7,4.010.248
 SNNPR0.090.01,0.70.0210.190.08,0.44< 0.001*
Residence (ref: rural)
 Urban1.260.52,3.040.607
 ANC visits (ref. < 4)
 4+1.690.78,3.670.1831.260.67,2.380.47
Time from childbirth to interview (ref: First week)
 1–6 weeks0.370.12,1.120.0790.370.15,0.90.028*
 7–12 weeks0.660.21,2.040.4700.880.35,2.210.779
Childbirth time (ref. night)
 Day time1.310.66,2.590.434
Monthly childbirth per MNH Staff (Ref. > 17)
 Less than 175.460.97,30.620.0543.631.9,6.93< 0.001*
MNH staff trained in BEmONC (Ref. < 50%)
 50% or more3.410.62,18.690.1571.450.75,2.820.27
Policy of facility tour for pregnant women (ref. yes)
 No6.741.23,37.020.0281.720.89,3.320.11
Policy of anonymous (ref. yes)
 No3.270.2,52.570.402

* Ref: Reference group. aOR: Adjusted odds ratio, * Statistically significant at Alpha = 0.05

In the bivariate analysis, compared to women interviewed in health centers those interviewed in hospitals (OR = 9.63 95%CI 1.25, 74.26, p = 0.03) were more likely to report mistreatment. Women who gave birth in health facilities with less than 17 births per month (OR = 5.46, 0.97, 30.62, p = 0.054) and with no policy of a facility tour for pregnant women (OR = 6.74 95% CI 1.23, 37.02; p = 0.028) were more likely to report mistreatment. In a multivariable logistic regression analysis, the odds of reporting mistreatment were higher among women with four or more previous births (aOR = 3.36 95%CI 1.22, 9.23, p = 0.019) compared to women with no previous childbirth, among Muslim women (aOR = 3.30 95%CI 1.4, 7.77, p = 0.006) compared to Orthodox Christians and among women interviewed in facilities with less than 17 births per MNH staff in a month (aOR = 3.63 95%CI 1.9, 6.93, p < 0.001). However, the odds of reporting mistreatment were lower among women aged 35 and older compared to those younger than 25 (aOR = 0.22 95%CI 0.06, 0.73 p = 0.014) and among women interviewed between 8 and 42 days after childbirth (aOR = 0.37 95%CI 0.15, 0.9 p = 0.028).

Discussion

This study assessed the level of mistreatment of women during childbirth in 38 randomly selected health facilities with high and low case load across Tigray, Amhara, Oromia and SNNP regions in Ethiopia. The four regions included in the study represent more than 86% of the total population of the country [30]. Policies of RMC at facility level that aim to improve women’s experiences, including allowing a birth companion of choice, keeping newborn and mother together following childbirth, and allowing women to take their preferred birthing position were not universally observed. The observed discrepancy could be due to lack of focus by the leadership of health facilities and lack of monitoring on the policies by district and regional level health managers. A systematic review on RMC policies previously showed that such policies are feasible in low resource settings if these are prioritized [31]. Three-fourth of women interviewed reported experiencing any mistreatment. These findings are consistent with previous studies from the Ethiopian cities Addis Ababa and Bahirdar in which 78 and 67.1% of women reported disrespect and abuse respectively [21, 32]. However, our finding was higher than three other studies conducted in Ethiopia reporting 21–36% of mistreatment based on provider-client structured observation [23, 24, 33]. Physical abuse was reported by only 2 % women which was comparable to a study in Addis Ababa that reported 2.3% physical abuse [21] and a study in Tanzania that reported 2.7% physical abuse in exit interview [5]. Our finding was higher than a study conducted in Tigray region that reported 0.8% physical abuse [24] and a study conducted in Amhara and SNNPR regions that reported 0.5% physical abuse [33]. Our finding was lower than a previous study in the same four regions in Ethiopia that reported 9% physical abuse using structured observation [23] and much lower than a community based study among women in Bahirdar town that reported 23.2% physical abuse [32]. Verbal abuse was reported by 8 % women which was comparable to our previous study in the same four regions in Ethiopia that reported 8 % verbal abuse [23], a study in Addis Ababa that reported 7.5% insult, intermediation, threat or coercion [21] and a study in Tanzania that reported 8.7% women being shouted at [34]. But the reported level of verbal abuse was lower than a study in Bahirdar town that reported 27.1% of women reported verbal insult committed by providers [32] and a study conducted in Tigray region that reported 12.5% women being shouted at and 10.5% women being scolded [24]. Nearly one in three women reported failure to meet professional standards of care that included being left unattended (10%), pain relief medication being denied (37%), non-consented care (16%) or non-confidential care (6.3%). Previous studies in Ethiopia did not use a comprehensive definition for failure to meet professional standard of care but different studies reported its components. The finding reported for components of failure to meet professional standards of care was consistent with a study conducted in Amhara and Oromia regions that reported 15.2% women experienced violation of privacy, 17.8% women experienced non consented care [22] and a study conducted in Tanzania that reported 8.7% women were left unattended [5]. The finding on some components were not consistent with our previous study in the four regions that reported 17% women experienced violation of privacy and 19% women experienced being left unattended [23] and a study in Tigray region that reported 6% women were left unattended [24]. Nearly three out of four women experienced poor rapport with providers that include poor reception of women (17%), next steps not explained (48%), not responding to women questions (16%), not allowing birth companion (28%) and not allowing women preferred birth position (56%). The findings on poor rapport between women and providers was one of the first finding to our knowledge. Other studies assessed components of poor rapport between women and providers. The reported level of poor reception was lower than previous study in the same regions that reported 23% women were not greeted and received politely [23]. The reported level of poor communication was higher than previous study that reported 35% women did not receive explanation about next steps [23]. Our findings show that women younger than 25 years were more likely to report mistreatment compared to those 35 years and above. This finding for younger groups of women is consistent with other studies in South Africa, Uganda and rural Australia suggesting that young women may be more likely to be mistreated or discriminated against by health providers, and sometimes blamed for getting pregnant at a younger age [26, 35–38]. It is possible however, that compared to the older age group, these women have different expectations from the health system and/or have been sensitized to respectful care to a larger extent. Older women may either have normalized the experience of mistreatment [6] or may feel barriers to report it. Muslim women were more likely to report mistreatment compared to Orthodox Christians. It is unclear whether cultural and religious expectations of Muslim women related to privacy and sex of the care provider play a role. Alternatively, Muslim women could be discriminated against by care providers. A study in Afar, Ethiopia, a predominantly Muslim community, revealed that women did not seek maternity care from health facilities because of poor services and unfriendly or even abusive treatment during childbirth [39]. A study in Ghana suggested that Muslim women did not seek maternity care from health facilities because health care providers’ lack of knowledge and insensitivity to religious and cultural practices of Muslim women [40]. Women interviewed during eighth to 42 days after childbirth were less likely to report mistreatment compared to those interviewed in the first 7 days. The reason for reporting higher rates of mistreatment during the first 7 days after childbirth and lower rates after the seventh day could be due to a fresh memory of the birthing experience in the first week. Women may not have reported negative experiences for fear of reprisal by health care providers during their visit for immunization. A previous study in Tanzania in which women were interviewed in health facilities after childbirth and after a 5–10 week follow-up showed an increase in the level of mistreatment reported, considering that the follow-up interview was held at the woman’s home [5]. Women with four or more previous births were more likely to report mistreatment. Discrimination of women based on parity was identified in a systematic review [26]. This finding is consistent with a study in Kenya that reported women with four to nine previous births being more likely to experience some form of mistreatment including non-consented care, detainment for lack of payment and being requested for bribes [25]. Facility level factors significantly associated with mistreatment of women were the number of births per MNH provider. Women interviewed in facilities with lower numbers of monthly births (< 17) per MCH provider were more likely to report mistreatment. With increasing numbers of births per MNH provider, the odds of reporting mistreatment decreased. This is consistent with the finding of a systematic review conducted in five African countries, which indicated that facilities with a low case load were associated with poor quality of basic maternity care services [41]. The reason for lower levels of mistreatment in facilities with relatively high numbers of births per MCH provider could have a causal relationship, and the other way around. In other words, high or low volume of clients could be the result of previous treatment that women experienced in these facilities, either attracting them to come or making them give birth elsewhere. However, this finding contradicts with assumptions suggesting that health providers mistreated women due to high work load. High workload was identified as a cause of negative attitudes and behavior of maternity care providers in a systematic review in low- and middle-income countries [42]. Another reason for the increase in mistreatment in facilities with lower maternity case load per provider could be the rapid expansion of these facilities since most of the new facilities usually have low case load due to preference of women for previously established facilities. This study measured prevalence of mistreatment, using a nationally representative sample of health facilities in the four largest regions of the country. However, there are some limitations. This assessment was conducted on the premises of health facilities instead of women’s homes. This may create courtesy bias, i.e. women may have provided socially desirable responses to data collectors because of fear of repercussions during postnatal care visits. To mitigate this problem, data collectors were trained to ensure privacy and confidentiality of information. Another limitation could be recall bias leading to underreporting of some of the events, since interviews were conducted within the same day to 3 months after childbirth. Those women interviewed weeks after childbirth may have forgotten some of the interactions with health providers that would have been categorized as mistreatment. However, earlier studies on birthing experiences of women reported that women remember negative experiences for long periods of time [43]. Another limitation, inherent to study design, is the fact that residual confounding variables such as unmeasured provider and facility characteristics may have affected study findings.

Conclusions

This study identified that most women experienced some form of mistreatment during childbirth in Ethiopian health facilities. Younger women, women with four or higher previous childbirths, Muslim women, women who received childbirth services in health facilities with low numbers of births per provider were disproportionately affected by mistreatment. Health workers efforts to improve respectful maternity care should consider such factors that are associated with mistreatment of women in health facilities. Health providers need to provide culturally sensitive women-centered care considering particular needs of each woman (younger versus older women) and continuously monitor experiences of women. National and regional level policy makers and program managers should investigate reasons for lower case load per provider in some health facilities so as to make appropriate corrective measures. Exit interview tool. (PDF 589 kb) RMC policy assessment tool. (PDF 151 kb)
  10 in total

1.  Experiences and Felt Needs of Women During Childbirth in a Tertiary Care Center: a Hospital-Based Cross-Sectional Descriptive Study.

Authors:  Gowri Dorairajan; Vandana Gopalakrishnan; Palanivel Chinnakali; Subhalakshmi Balaguru
Journal:  J Obstet Gynaecol India       Date:  2020-07-28

2.  Imagining maternity care as a complex adaptive system: understanding health system constraints to the promotion of respectful maternity care.

Authors:  Anteneh Asefa; Barbara McPake; Ana Langer; Meghan A Bohren; Alison Morgan
Journal:  Sex Reprod Health Matters       Date:  2020-12

3.  Unveiling respectful maternity care as a way to address global inequities in maternal health.

Authors:  Anteneh Asefa
Journal:  BMJ Glob Health       Date:  2021-01

Review 4.  Prevalence of sexual violence in Ethiopian workplaces: systematic review and meta-analysis.

Authors:  Mulugeta Dile Worke; Zewdie Birhanu Koricha; Gurmesa Tura Debelew
Journal:  Reprod Health       Date:  2020-12-09       Impact factor: 3.223

5.  Providing safe maternity care under challenging conditions in rural Ethiopia: a qualitative study.

Authors:  Elin Mordal; Ingrid Hanssen; Andargachew Kassa Biratu; Solfrid Vatne
Journal:  BMC Health Serv Res       Date:  2021-04-09       Impact factor: 2.655

Review 6.  Women's experiences throughout the birthing process in health facilities in Arab countries: a systematic review.

Authors:  Arein Awad; Aisha Shalash; Niveen M E Abu-Rmeileh
Journal:  Reprod Health       Date:  2022-03-18       Impact factor: 3.223

7.  Women's hospital birth experiences in Harar, eastern Ethiopia: a qualitative study using Roy's Adaptation Model.

Authors:  Maleda Tefera; Nega Assefa; Kedir Teji Roba; Letta Gedefa; Alex Brewis; Roseanne C Schuster
Journal:  BMJ Open       Date:  2022-07-08       Impact factor: 3.006

8.  Respectful maternity care and associated factors among mothers who gave birth at public health institutions in South Gondar Zone, Northwest Ethiopia 2021.

Authors:  Wassie Yazie Ferede; Temesgen Worku Gudayu; Dereje Nibret Gessesse; Besfat Berihun Erega
Journal:  Womens Health (Lond)       Date:  2022 Jan-Dec

9.  Social inequalities in women exposed to obstetric and gyneco-obstetric violence in Ecuador: a cross-sectional study.

Authors:  Fara Faith Arias Fuentes; Erika Arteaga; Miguel San Sebastián
Journal:  BMC Womens Health       Date:  2022-10-13       Impact factor: 2.742

10.  Disrespect and Abuse during Childbirth in Ethiopia: A Systematic Review.

Authors:  Meresa Berwo Mengesha; Asgele Gebrekrstos Desta; Hayat Maeruf; Hagos Degefa Hidru
Journal:  Biomed Res Int       Date:  2020-10-23       Impact factor: 3.411

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.