Background
22
Of the children born every year in Nepal, 57.4% are delivered in health facilities. Disrespect and 23
abuse of women during maternity care are problems that can significantly impact women’s 24
willingness to seek out life-saving maternity care. However, evidence suggests ongoing 25
disrespectful maternity care worldwide. This study aims to identify perceived disrespect and 26
abuse during labor and delivery among postnatal women delivering at Bheri Hospital, Nepal. 27
Methods
28
A cross sectional study was conducted among 445 purposively selected women admitted in 29
postnatal ward of Bheri Hospital, Nepal from February to March 2020. Ethical approval was 30
obtained from Nepal Health Research Council. Informed written consent was obtained from each 31
participant and a face-to-face interview was conducted for data collection. A semi-structured 32
questionnaire consisting of demographic information and a pre-validated Respectful Maternity 33
Care (RMC) tool was used. The information was then checked, coded, and entered in SPSS for 34
descriptive and inferential analysis. 35
Results
36
In this study, the participants perceived very high friendly care, abuse-free care and 37
discrimination-free care but moderate timely care only. Timely care was found to be significantly 38
associated with age, ethnicity, occupation, monthly income, gravida, type of delivery, and 39
complications. On multinomial regression, monthly income and type of delivery were the only 40
factors found to be significant. Those mothers who had spontaneous vaginal delivery were 2.07 41
times more likely to have neutral RMC, and those who earn less than twenty thousand Nepalese 42
rupees per month were likely to perceive high timely RMC. 43
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Conclusion
44
This study concludes that disrespectful or abusive maternal care is not perceived among women 45
delivering at Bheri Hospital in terms of friendly care, abuse-free care and non- discriminatory 46
care. However, timely care is less reported. Appropriate interventions to provide timely care to 47
delivering women must be instituted. 48
Key words: Delivery; Disrespect and abuse; Labor; Maternal health services; Respectful 49
maternity care; Midwives 50
51
52
53
54
55
56
57
58
59
60
61
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4
Introduction
62
With Maternal Mortality Ratio (MMR) at 239 per 100,000 live births in 2016- higher than its 63
South Asian neighbors- maternal mortality remains a formidable challenge in Nepal. Although 64
the country has witnessed considerable decline in MMR by 55% from 1996 to 2016 [1] , it still 65
needs to go a long way to achieve the target of 70 per 100,000 live births as set out in the 66
Sustainable Development Goals (SDGs) [2]. 67
Ensuring access to quality skilled care before, during, and after childbirth is vital in reducing 68
maternal mortality [3]. In low resource settings such as Nepal the lack of availability of skilled 69
care services, mistreatment during childbirth, including abusive, neglectful, or disrespectful care 70
may result in compromised quality [4]. Women have experienced disrespect and abuse (D &A) 71
all over the world in various forms ranging from physical or verbal abuse, stigma or 72
discrimination [4], detention of babies [4], being shouted at [5], threatening comments [5], 73
withholding procedure related information and providing non-consented care [5]. For instance, a 74
study in Ghana revealed that only a few clients were encouraged to ask questions and explained 75
what to expect during labor [4]. Non-confidential care has also been reported [6], as identified in 76
a study conducted in India. Similarly, evidences suggest that women have also experienced poor 77
quality care in the form of restriction in their choice of birth position and movement, and 78
restriction of liquid drinks during delivery [7]. 79
Although a growing body of evidence paints a disturbing picture of women’s experience of care 80
during pregnancy and child birth, health care providers justify such acts on the grounds of 81
punishment for non-cooperation from women and good outcomes to babies[4]. Analyzed from 82
the perspective of health service delivery system, difficult circumstances in health facilities 83
under which maternity staffs work, system failures, and inadequate human resource management 84
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5
have been found as important reasons for D&A during delivery [8]. However, justifying 85
disrespectful care and abuse based on these factors is a violation of women’s human rights. 86
RMC has been defined by World Health Organization (WHO) as “care organized for and 87
provided to all women in a manner that maintains their dignity, privacy, and confidentiality, 88
ensures freedom from harm and mistreatment, and enables informed choice, and continuous 89
support during labor and childbirth” [9]. In this sense, RMC focuses on expanding safe 90
motherhood beyond prevention of maternal mortality and morbidity to incorporate a human-91
rights based approach, including respect to women’s autonomy, dignity, choices, privacy and 92
preferences [10]. RMC recognizes that all women need and deserve respectful care; and focuses 93
on eliminating D&A during pregnancy and childbirth. 94
Despite the existing evidences that suggest D&A during childbirth presents considerable 95
impediments to utilization of skilled birth care globally [9], only a few studies have been 96
undertaken to understand the phenomena in Nepal. The majority of these studies have used a 97
qualitative approach and only a limited number of studies have used a validated quantitative tool 98
to measure the level of D&A at the point of service provision, out of which the greater number 99
are based on health facilities in Kathmandu Valley. 100
This study aimed to identify perceived D&A during labor and deliveries among postnatal women 101
admitted at a remote hospital and also determine the factors affecting RMC. Understanding 102
women’s perspective of D&A during care is essential to identify factors that generate RMC in 103
the health facility and subsequently in the provision of RMC as envisioned in The Right to Safe 104
Motherhood and Reproductive Health Act of 2018. 105
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Methods
106
Study Design, Study Setting and Sample Size 107
A cross-sectional study was done to identify the forms and associated risk factors of perceived 108
disrespect and abuse among women delivering at Bheri Hospital, Nepal. With 5083 deliveries 109
conducted in the year 2017-18 [11], Bheri Hospital in southwestern Nepal is a major referral 110
center for emergency obstetric care services for three out of seven provinces (Lumbini Province, 111
Karnali Province & Sudur Pachhim Province) of the country. 112
The sample size was calculated based on a study conducted in India, Ghana, and Kenya which 113
depicted an overall prevalence of verbal abuse to be 16% across all countries [6]. Considering 114
the prevalence of verbal abuse to be 16%, and level of significance to be 95%, the minimum 115
sample size for the proposed study was calculated to be 237. However, we were able to collect 116
the information from 445 women who delivered during the allocated period of data collection. 117
Study Participants and Recruitment 118
Purposive sampling technique was used to interview postnatal women admitted at the postnatal 119
ward of Bheri Hospital, within 24 hours of delivery. Those who were unwilling to participate in 120
the study, couldn’t understand and/or speak the Nepali language or had a stillbirth or macerated 121
birth during delivery were excluded from the study. 122
Data Collection 123
Face-to-face interview technique was used to collect data. Each interview lasted for 124
approximately 20 minutes and conducted in the Nepali language. The data were collected from 125
February to March 2020. Informed written consent was obtained before data collection. Data 126
were collected from women in postnatal ward within 24 hours of delivery to avoid recall bias. 127
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A semi-structured questionnaire, divided into two parts, was used as the tool for data collection. 128
The first part included questions relating to socio-demographic factors and obstetric history, 129
details of which are presented in Table 1. The second part of the questionnaire was based on a 130
validated RMC tool with 15 items used to measure women’s perception regarding RMC. The 131
tool has four dimensions: friendly care, abuse-free care, timely care and non-discriminatory care 132
consisting of 7, 3, 3 and 2 items, respectively [12]. The construct validity of the scale is 133
confirmed by the high average factor loading of the four components ranging from 0.76 to 0.82 134
and a low correlation between the components. The scale has adequate reliability with α = 135
0.845[13]. The instrument was translated into the Nepali language and validated by a Nepali 136
language expert. The content validity of the instrument was established by consultation with 137
subject experts. Consistency of the tool was checked by pre-testing among 10% of women 138
delivering at Bheri Hospital which was not included in the final study sample. 139
Data Analysis 140
The collected data was checked, organized and coded, and entered into Microsoft excel and then 141
exported to SPSS (Statistical Package for the Social Sciences) 17.0 version for analysis. The data 142
were analyzed by using descriptive statistics like frequency, percentage, mean, standard 143
deviation, and inferential statistics: chi-square test, and multinomial logistic regression. 144
Mean score (M) of four broad components i.e. friendly care, timely care, abuse free care, and 145
non- discriminatory care was used to describe the level of respectful maternity care experienced 146
by the postpartum women during childbirth in each component separately. To determine the 147
participant’s degree of respectful maternity care, the following Likert- range conversion and 148
qualitative interpretation were used: 4.20- 5.00-Very High, 3.4- 4.19 -High, 2.60- 3.3 - Moderate, 149
1.80- 2.5 -Low and 1- 1.78 Very Low [12]. 150
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Ethical Approval 151
Ethical approval was obtained from the Nepal Health Research Council (Ref #1953, 18 March 152
2020). Written permission from Bheri Hospital administration was also obtained. Informed 153
written consent was obtained from the respondents. Participants were also assured that their 154
participation/non-participation would have no bearing on their treatment. Confidentiality of the 155
participants was maintained by assigning unique identification code to each participant. 156
Results
157
Table 2 depicts the socio-demographic information of the participants. The majority of them 158
(74.4%) were aged 20- 30 years, belonged to the Janjati ethnic group (46.1%), and most of them 159
(91.2%) followed the Hindu religion. The majority (86.7%) were educated. However, almost half 160
(50.8%) were unemployed. Approximately fifty-three percent of respondents were from joint or 161
extended family. Regarding the spouse’s background, most of them (91.7%) were educated and 162
were involved in a non-formal occupation (71.5%). 163
Table 3 illustrates the obstetric history of participants. The majority of participants had less than 164
two gravidae (75.7%), were multiparous (64.7%) and most of them (95.7%) had term pregnancy. 165
Almost half of the participants (51.5%) delivered via spontaneous vaginal delivery (SVD) while 166
remaining delivered via augmented labor and/or lower section cesarean section. One third of 167
respondents (33.3%) had complications during labor. 168
Table 4 shows the perception of participants regarding RMC on a 5 points Likert scale. The 169
components of RMC are presented in four broad categories of Friendly Care, Abuse-free Care, 170
Timely Care, and Non-discriminatory Care. 171
Regarding Friendly Care, very few respondents disagreed that the health workers cared for them 172
with kind approach (0.9%), treated them in a friendly manner (2.6%), talked positively about the 173
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9
pain and relief measures (2.0%), showed concern and empathy (0.2%), treated them with respect 174
as an individual (1.5%), and spoke in understandable language (10.5%). Of note, almost half of 175
the participants (47.2%) disagreed on being called by their name. 176
The table also presents the perception of participants towards Abuse-free Care. Nearly 32.6% 177
disagreed with the statement that health workers responded to their needs whether or not asked. 178
Also, 5.6% reported being slapped during delivery for different reasons, and a similar number of 179
participants (4.7%) reported being shouted at for not doing what they were told to do. 180
Regarding Timely Care, more than a quarter of participants (27.8%) agreed to being kept waiting 181
for a long time before receiving care, but a higher number of participants were not allowed to 182
practice cultural rituals (62%). Some agreed that service was delayed due to health facility’s 183
internal problems (18.7%). 184
Perception towards Discrimination-free Care shows that few respondents (3.3%) agreed that the 185
health workers did not treat them well because of personal attributes. Also, 2.9% of participants 186
agreed that some health workers insulted them and their companions due to personal attributes. 187
The mean score shows that the participants’ perceptions of Non-discrimination Care (4.67), 188
Friendly Care (4.42) and Abuse-free Care (4.29) were very high, whereas perception of Timely 189
Care (3.10) was comparatively moderate. 190
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Table 4 presents the findings of the association between selected demographic and obstetric 191
characteristics and the Friendly Care component of RMC. This table shows that there is a 192
significant association between timely care and monthly income (p<0.05), gravida (p<0.05), para 193
(p=0.004), and week of gestation (p=0.026). 194
Table 6 reveals the association between Abuse-free Care and selected demographic and obstetric 195
characteristics. This table shows that there is a significant association between Abuse-free Care 196
and spouse’s occupation (p=0.002), para (p=0.010), type of delivery (p<0.05). 197
Table 7 shows the association between Timely Care and selected characteristics which reveals 198
that there is a significant association between Timely Care and age (P<0.05), ethnicity (p=0.002), 199
occupation (p=0.001), monthly income (p<0.05), gravida (p<0.05), type of delivery (p=0.002), 200
and complications (p=0.002). However, there is no significant association between Timely Care 201
and educational status, spouse’s occupation, or week of gestation (P>0.05). 202
As mentioned in Table 4, among the four components, women’s perception of Timely Care was 203
found to be moderate whereas other dimensions of RMC were perceived very high. To determine 204
the factors resulting in moderate perception of Timely Care, multinomial logistic regression was 205
done. Table 8 shows that those who had SVD were 2.07 times as likely to have neutral RMC for 206
Timely Care. Similarly, those who earn less than twenty thousand Nepalese Rupees per month 207
were 2.36 (1.30-4.23) times as likely to have high Timely RMC in Nepal. We did not observe 208
any significant effects between gravida, complication during the delivery, and the number of 209
living children (P>0.05). 210
Discussion
211
This study aimed to identify perceived Disrespect & Abuse and its associated factors during 212
labor and delivery among postnatal women at a busy referral hospital in western Nepal. D&A are 213
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11
evaluated based on four different dimensions of RMC i.e. Friendly Care, Abuse-free Care, 214
Timely Care and Discrimination-free Care. Very high degree of Friendly Care, Abuse-free Care 215
and Discrimination-free Care was identified, however, only moderate Timely Care was 216
perceived by the participants which is in contrast to the study in Egypt where only 217
Discrimination-free Care was perceived to be high and other dimensions to be moderate [12]. 218
The reason for high rating of Abuse-free Care in this study could be normalization of the abuse 219
in the health care setting [14], where delivering women think that it is normal to be abused 220
physically and/or verbally for better labor outcomes. Also, despite the knowledge of principles of 221
RMC among health care providers, this knowledge may not translate to an improvement in 222
actual respectful care at the bedside [14]. 223
Most of the women (91.3%) perceived that they were treated in a friendly manner which is 224
consistent with a direct observation of RMC in health facilities of five countries in East and 225
Southern Africa (86%) [7]. Talking positively about the pain and relief measures was one of the 226
components of Friendly Care where very few respondents (2.0%) disagreed with the statement. 227
The reasons for not addressing pain may be due to the lack of availability of a doctor [14] and/or 228
the shortage of health workers persistent in the country [15]. The shortage, however, might have 229
been more pronounced at the time of data collection due to the ongoing staff adjustment process 230
undertaken as part of implementing Federalism in the country [16]. 231
WHO recommends communication between maternity care providers and women in labor, using 232
simple and culturally acceptable methods [17]. Evidence suggests that language barrier is a 233
critical factor that hinders effective communication and can also pose considerable risk to patient 234
safety and quality of care [18]. More than two third of the participants (84%) in this study 235
confirmed that the health worker spoke in a language understandable to them. A study conducted 236
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in Egypt found that nearly 61% of the health workers did not communicate in an understandable 237
language. This suggests that language barrier was less common in our context. To ensure 238
respectful attitude and supportive environment during delivery, it is required to continue 239
emphasizing the importance of health care provider-client communication and client-centered 240
care [19]. 241
One of the critical elements affecting patients’ perception of RMC is the way in which a patient 242
is addressed by a name of her/his preference. Patients’ preferred mode of address by healthcare 243
workers, to large extent, is influenced by ethnic and cultural factors. For instance, a study on 244
non-English speaking Australians shows that patients preferred to be called by their informal 245
name [20]. On the other hand, patients in countries like Iran [21] and Israel [22] preferred formal 246
address by title and surname. In this study, 47.2% respondents agreed that they were called by 247
their preferred name, which is similar to the study from Egypt [12]. However, with limited 248
evidence on Nepalese patients’ preference of address by healthcare workers, the present study is 249
unable to provide contextual interpretation of the figure. Therefore, we recommend further study 250
on Nepalese patients’ preferred mode of address by healthcare workers. 251
Neglect or abandonment during labor and delivery has been reported in varying degrees in 252
countries like Kenya (14.3%) [23] and Tanzania (3.45%)[24]. This neglect could be in form of 253
health workers not being present at the time of birth, not providing medications or not 254
communicating the progress of labor. More than a quarter of women in this study responded that 255
the health workers did not respond to their need whether or not asked, which is quite a large 256
figure compared to those reported previously. The reason for not responding to needs could be 257
the heavy workload of midwives and health care workers[25]. In an overburdened Nepali health 258
care system where patient to healthcare workers ratio is unimaginably high [26]. In a 259
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13
communication with Shanti Kandel, RN (January 2021), six thousand delivery in Bheri Hospital 260
is attended by a group of only eleven staffs for the fiscal year 2076/77. Silence can be a way in 261
which a system defends itself against the many needs of patients. Silence from a care provider 262
can cause neglect, resulting to avoidable complications during delivery [25], negative impact on 263
the health of mother and / or baby [27] and also unwillingness to return or recommend others to 264
the health facility for next delivery [28]. Respondents with complications are generally more 265
likely to report D & A during delivery[29]. Although a third of respondents in this study had 266
complications, rates of D & A remained low. 267
Women, during the process of delivery, are vulnerable to being abused by health workers 268
whether it might be physical or verbal [28,30,31]. Such abuses are likely to result in a high rate 269
of traumatic birth experience for women [32]. Different forms of abuse like being slapped (5.6%) 270
or being shouted at (4.6%) has been reported in this study. Women experiencing physical and 271
verbal abuse was found to be dramatically higher in another study conducted in central Nepal, 272
which reported physical and verbal abuse to be 18.7% and 30% respectively [33]. The difference 273
in reported abuse thus requires extensive research to identify the prevalence and institute 274
appropriate interventions. A study has demonstrated that midwives feel a strong sense of 275
accountability and responsibility for labor and delivery outcomes and tend to do whatever it 276
takes to deliver a live baby to a healthy mother [34]. In addition, the midwives/ nurses ratio per 277
population for Nepal is lesser (31.08/10,000 population) than the recommended by WHO 278
(40/10,000 population) leading to overburden for health workers [35]. WHO recognizes that D 279
& A not only violate the rights of women to respectful care, but also threaten their rights to life, 280
health, bodily integrity and freedom from discrimination [36]. However, abuse in any form, 281
whether it be physical or verbal should never be tolerated during labor and delivery. 282
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Nearly half of the respondents (48.3 %) agreed that they were kept waiting for a long time, 283
which is substantially higher than the study conducted in Ghana, Guinea, Myanmar, and Nigeria 284
where 22% reported waiting for long periods before being attended by health workers [4]. The 285
delay in care (27.8%) might be due to too few staff as compared to patients as revealed by a 286
study of midwives of Malawi [8]. The situation might be similar in Nepal as shortage of staffs in 287
the hospital setting has been reported [37], further worsened by the ongoing shifts in staff 288
allocation as a part of Federalism. 289
Few participants i.e. approximately three out of a hundred, agreed that the health workers did not 290
treat them well because of personal or their companions’ attributes, which is in contrast to a 291
study conducted in Nigeria that showed a higher percentage of discrimination faced by 292
respondents at 8.1% [38]. Birth preparedness practice in Nepal tends to be higher as reported by 293
a study that denotes familiarization of pregnant women with the delivery setting. Early 294
communication and interpersonal relationship between care provider and patient could be a cause 295
for higher Discrimination-free Care [39]. 296
Women with SVD were two times more likely to have a neutral response about RMC for Timely 297
Care as compared to those who had cesarean delivery. Women experiencing caesarian delivery 298
could have ultimately perceived the urgency of services for delivering a healthy baby, thus 299
women with SVD would be more likely to report neutral Timely Care. Similarly, those who earn 300
less than twenty thousand Nepalese Rupees were twice as likely to feel they had a high level of 301
timely RMC. Women of lower economic status may be more tolerant of a long wait in order to 302
receive care in a government facility with higher case load as opposed to delivering at home. 303
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15
Limitations
304
This study has used a standardized tool to gather quantitative information about D & A faced by 305
women during labor and delivery. However in-depth insight regarding health workers’ 306
perceptions and/or those of delivering women could not be obtained. Also, the potential for 307
generalization of the findings cannot be ascertained as only a single tertiary care center in 308
western Nepal has been included for the study. 309
Information bias and courtesy bias might have occurred as the information was collected by an 310
on- duty student nurse, although the respondents were assured prior to the study that their 311
opinion would have no impact on further treatment. 312
Recommendations 313
Any forms of D & A must be prohibited during labor and delivery so that women can enjoy their 314
experience of labor and delivery. Irrespective of the health system or staff-related issues; timely 315
care must be of priority in order to ensure quality maternity care. Timely Care is simply not 316
always possible in highly constrained settings such as Bheri Hospital, but the perception of 317
Timely Care might possibly be reduced by additional communication and explanations of the 318
cause of the delay. 319
Further studies should be conducted to determine RMC at all levels of the healthcare system 320
throughout the country, such that potential generalization of our findings and appropriate 321
interventions for improvement can be planned accordingly. 322
Sustained interaction with the health system are required to implement behavior change 323
intervention central to promoting respectful care [40]. The successful improvement in maternity 324
care environment for women and midwives needs broader interdisciplinary perspectives on the 325
wider drivers of midwives’ disrespectful attitudes and behaviors [8]. 326
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Conclusion
327
This study concludes that RMC is practiced highly in western Nepal in terms of Friendly Care, 328
Abuse-free Care, and Discrimination-free Care. However, Timely Care is less reported. 329
Therefore, appropriate interventions to provide Timely Care to delivering women must be 330
instituted. Along with this, adequate communication and explanation of delay can reduce 331
perception of delayed care among care recipients. Physical or verbal abuse during labor and 332
delivery must not be tolerated, and while rates of abuse were shown to be low in this study, there 333
remains room for improvement. Further research on RMC in Nepal is required to clarify the 334
drivers for D & A and examine potential solutions. 335
Abbreviations 336
D&A- Disrespect & Abuse 337
LSCS – Lower Segment Caesarion Section 338
MMR - Maternal Mortality Ratio 339
NHRC- Nepal Health Research Council 340
RMC- Respectful Maternity Care 341
SDG – Sustainable Development Goals 342
SVD – Spontaneous Vaginal Delivery 343
WHO- World Health Organization 344
Declaration 345
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17
Competing interests: The authors declare no competing interests. 346
Funding: The study was self-funded by the authors. 347
Acknowledgments: The authors are immensely thankful to the management of Bheri 348
Hospital and to the NHRC for ethical approval. We express sincere gratitude to all women who 349
participated in this study along with delivery room residents and midwives for providing support 350
during the study. At last but not the least, we are thankful to all the student nurses of Sushma 351
Koirala Memorial Hospital, Nepalgunj, Banke for their support during data collection. 352
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499
List of Tables 500
Table 1. Distribution of variables in the study 501
Part I- Socio-demographic
characteristics and obstetric
history
Demographic Information: Age of Mother, Ethnicity, Religion,
Type of Family, Educational Status, Educational Level,
Occupation, Spouse’s Educational Status, and Spouse’s
Occupation
Obstetric History: Gravida, Para, Week of Gestation, Type of
Delivery, and Complication During Labor
Part II- Perceived
Disrespect & Abuse 12
Friendly Care, Abuse-free Care, Timely Care, and
Discrimination-free Care
502
Table 2. Distribution of participants according to socio-demographic information (n= 445) 503
Characteristics Frequency (n) Percent (%)
Age (Years)
<20
20-30
30-40
88
331
26
19.8
74.4
5.8
Ethnicity
Brahmin/Chhetri
Janjati
Madhesi/Dalit and others
136
205
104
30.6
46.1
23.4
Religion
Hindu
Others
406
39
91.2
8.8
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25
Educational Status
Educated
Uneducated
386
59
86.7
13.3
Occupation
Unemployed
Employed
226
219
50.8
49.2
Family type
Nuclear
Joint& Extended
208
237
46.7
53.3
Monthly income
20000
263
182
59.1
40.9
Spouse’s educational status
Educated
Uneducated
408
37
91.7
8.3
Spouse’s Occupation
Foreign employment
Non-formal employment
Formal employment
25
318
102
5.6
71.5
22.9
504
505
Table 3. Distribution of participants according to obstetric history (n=445) 506
Characteristics Frequency (n) Percent (%)
Gravida
2
337
108
75.7
24.3
Para
Primi para
Multipara
157
288
35.3
64.7
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26
Week of gestation
Preterm
Term
19
426
4.3
95.7
Type of delivery
Spontaneous vaginal delivery
Augmented
Lower section cesarean section
229
63
153
51.5
14.2
34.4
Complications during labor
Yes 148 33.3
No 148 66.7
507
508
Table 4 Participant reports of RMC (n=445) 509
Components of RMC SD
f (%)
D
f (%)
N
f (%)
A
f (%)
SA
f (%)
Mean
(SE)
CM
(SE)
Friendly care: The health
worker/s
Cared with a kind approach 3
(0.7)
1
(0.2)
1
(0.2)
141
(31.7)
299
(67.2)
4.64
(.027)
4.42
(.028)
Treated in a friendly manner 10
(2.2)
2
(0.4)
27
(6.1)
185
(41.6)
221
(49.7)
4.36
(.038)
Talked positively about pain
and relief
5
(1.1)
4
(0.9)
14
(3.1)
200
(44.9)
222
(49.9)
4.42
(.033)
Showed his/her concern and
empathy
- 1
(0.2)
38
(8.5)
187
(42)
219
(49.2)
4.40
(.031)
Treated with respect as an
individual
1
(0.2)
6
(1.3)
66
(14.8)
181
(40.7)
191
(42.9)
4.25
(.036)
Spoke in a language that I
could understand
18
(4)
29
(6.5)
24
(5.4)
174
(39.1)
200
(44.9)
4.14
(.05)
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27
Called me by my name 113
(25.4)
97
(21.8)
46
(10.3)
130
(29.2)
59
(13.3)
2.83
(.068)
Abuse free care:
The health worker/s
Responded to my needs
whether or not I asked
51
(11.5)
94
(21.1)
89
(20.0)
90
(20.2)
121
(27.2)
3.31
(.065)
4.29
(.044)
Slapped me during delivery
for different reasons (R)
267
(60.0)
121
(27.2)
32
(7.2)
19
(4.3)
6
(1.3)
4.40
(0.43)
Shouted at me because I
hadn’t done what I was told
to do (R)
249
(56.0)
125
(28.1)
50
(11.2)
17
(3.8)
4
(0.9)
4.34
(.042)
Timely Care
Kept waiting for a long time
before receiving service (r)
98
(22.0)
117
(26.3)
106
(23.8)
78
(17.5)
46
(10.3)
3.32
(.061)
3.10
(.057)
Allowed to practice cultural
rituals in the facility
169
(38.0)
107
(24.0)
87
(19.6)
19
(4.3)
63
(14.2)
2.33
(.066)
Service provision was delayed
due to the health facility’s
internal problems (r)
172
(38.7)
102
(22.9)
88
(19.8)
51
(11.5)
32
(7.2)
3.74
(.060)
Discrimination- free care: Some of the health workers
Did not treat me well because
of my personal attributes (R)
330
(74.2)
89
(20.0)
11
(2.5)
9
(2.0)
6
(1.3)
4.64
(.036)
4.67
(.032)
Insulted me and my
companions due to my
personal attributes (R)
316
(71.0)
112
(25.2)
4
(0.9)
5
(1.1)
8
(1.8)
4.62
(.035)
SA- Strongly agree, A- Agree, N- Neutral/ Indifferent, D- Disagree, SD- Strongly disagree 510
SE- Standard error, CM- Cumulative mean 511
Table 5. Distribution of Friendly RMC by different socio-demographic and obstetric 512
characteristics (n=445) 513
Characteristics Friendly care χ 2 p-
value Moderate
RMC
High RMC Very high
RMC
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28
f (%) f (%) f (%)
Age
<20
20-30
30-40
1 (1.1)
24 (7.3)
1 (3.8)
41 (46.6)
149(45.0)
16 (61.5)
46 (52.3)
158 (47.7)
9 (34.6)
8.958a .062
Ethnicity
Brahmin/Chhetri
Janjati
Madhesi/Dalit & others
10 (7.4)
8 (3.9)
8 (7.7)
58 (42.6)
92 (44.9)
56 (53.8)
68 (50.0)
105 (51.2)
40 (38.5)
6.754 .149
Educational Status
Educated
Uneducated
25 (6.5)
1 (1.7)
177(45.9)
29 (49.2)
184 (47.7)
29 (49.2)
2.817a .244
Occupation
Unemployed
Employed
9 (4.0)
17 (7.8)
115(50.9)
91 (416)
102 (45.1)
111 (50.7)
5.529 .063
Monthly income
20000
5 (1.9)
21 (11.5)
126(47.9)
80 (44.0)
132 (50.2)
81 (44.5)
18.188 .000
Spouse’s Occupation
Foreign
Non-formal
Formal employment
0(.0)
21(6.6)
5(4.9)
13(52.0)
146(45.9)
47(46.1)
12(48.0)
151(47.5)
50(49.0)
3.605a .462
Gravida
2
7 (2.1)
19 (17.6)
146(43.3)
60 (55.6)
184 (54.6)
29 (26.9)
49.498 .000
Para
Primi para
Multi para
2 (1.3)
24 (8.3)
83 (52.9)
123(42.7)
72 (45.9)
141 (49.0)
11.135 .004
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29
Week of gestation
Preterm
Term
0
26 (6.1)
14 (73.7)
192(45.1)
5 (26.3)
208 (48.8)
7.302 a .026
Type of delivery
SVD
Augmented
LSCS
10 (4.4)
6 (9.5)
10 (6.5)
100(43.7)
34 (54.0)
72 (47.1)
119 (52.0)
23 (36.5)
71 (46.4)
6.112 a .191
Complications
Yes
No
7 (4.7)
19 (6.4)
69 (46.6)
137(46.1)
72 (48.6)
141 (47.5)
0.504 .777
a – likelihood ratio 514
515
Table 6. Distribution of Abuse-free RMC by different socio-demographic and obstetric 516
characteristics (n=445) 517
Characteristics Abuse Free Care χ 2 p-
value Very
Low
RMC
f (%)
Low
RMC
f (%)
Moderate
RMC
f (%)
High
RMC
f (%)
Very
High
RMC
f (%)
Age
<20
20-30
30-40
-
4(1.2)
-
2(2.3)
12(3.6)
1(3.8)
13(14.8)
71(21.5)
5 (19.2)
39(44.3)
94(28.4)
11(42.3)
34(38.6)
150(45.3)
9 (34.6)
11.606a
.212
Ethnicity
Brahmin/Chhetri
Janjati
Madhesi/Dalit &
others
0(.0)
1(.5)
3(2.9)
2(1.5)
8(3.9)
5(4.8)
32(23.5)
36(17.6)
21(20.2)
42(30.9)
66(32.2)
36(34.6)
60(44.1)
94(45.9)
39(37.5)
11.214 .186
.190
Educational
Status
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30
Educated
Uneducated
3(.8)
1(1.7)
10(2.6)
5(8.5)
74(19.2)
15(25.4)
129(33.4)
15(25.4)
170(44.0)
23(39.0)
11.214a .190
Occupation
Unemployed
Employed
3(1.3)
1 (.5)
6 (2.7)
9 (4.1)
40(17.7)
49(22.4)
81(35.8)
63(28.8)
96(42.5)
97(44.3)
4.713a .318
Monthly income
20000
1(.4)
3(1.6)
11(4.2)
4(2.2)
50(19.0)
39(21.4)
79(30.0)
65(35.7)
122(46.4)
71(39.0)
5.981a .201
Spouse’s
Occupation
Foreign
Non-formal
Formal
employment
0(.0)
3(.9)
1(1.0)
0(.0)
15(4.7)
0(.0)
4(16.0)
61(19.2)
24(23.5)
3(12.0)
99(31.1)
42(41.2)
18(72.0)
140(44.0)
35(34.3)
24.143a .002
Gravida
2
2(.6%)
2(1.9)
14(4.2)
1(.9)
69(20.5)
20(18.5)
103(30.6)
41(38.0)
149(44.2)
44(40.7)
6.223a .183
Para
Primi para
Multipara
1(.6)
3(1.0)
9(5.7)
6(2.1)
40(25.5)
49(17.0)
54(34.4)
90(31.2)
53(33.8)
140(48.6)
13.184a .010
Week of gestation
Preterm
Term
0(.0)
4(.9)
0(.0)
15(3.5)
7(36.8)
82(19.2)
7(36.8)
137(32.2)
5(26.3)
188(44.1)
5.592a .232
Type of delivery
SVD
Augmented
LSCS
3(1.3)
1(1.6)
0(.0)
4(1.7)
9(14.3)
2(1.3)
50(21.8)
12(19.0)
27(17.6)
69(30.1)
25(39.7)
50(32.7)
103(45.0)
16(25.4)
74(48.4)
29.030a .000
Complications
Yes 1(.7) 1(.7) 32(21.6) 45(30.4) 69(46.6) 7.391 a .117
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31
No 3(1.0) 14(4.7) 57(19.2) 99(33.3) 124(41.8)
a – likelihood ratio 518
Table 7. Distribution of Timely RMC by different socio-demographic and obstetric 519
characteristics (n=445) 520
Characteristics Timely Care χ 2 p-
value Very Low
RMC
Low
RMC
Moderate
RMC
High
RMC
Very high
RMC
Age
<20
20-30
30-40
0(.0)
38(11.5)
3(11.5)
8(9.1)
33(10.0)
1(3.8 0
37(42.0)
179(54.1)
13(50.0)
25(28.4)
73(22.1)
9(34.6)
18(20.5)
8(2.4)
0(.0)
55.822a
54.618
.000
.000
Ethnicity
Brahmin/Chhetri
Janjati
Madhesi/Dalit &
others
19(14.0)
12(5.9)
10(9.6)
13(9.6)
17(8.3)
12(11.5)
75(55.1)
101(49.3)
53(51.0)
29(21.3)
53(25.9)
25(24.0)
0(.0)
22(10.7)
4(3.8)
24.939a .002
Educational Status
Educated
Uneducated
38(9.8)
3(5.1)
39(10.1)
3(5.1)
198(51.3)
31(52.5)
90(23.3)
17(28.8)
21(5.4)
5(8.5)
4.089a
4.420
.394
.352
Occupation
Unemployed
Employed
10(4.4)
31(14.2)
29(12.8)
13(5.9)
113(50.0)
116(53.0)
61(27.0)
46(21.0)
13(5.8)
13(5.9)
18.888a
.001
Monthly income
≤ 20000
>20000
18(6.8)
23(12.6)
23(8.7)
19910.4)
129(49.0)
100(54.9)
68(25.9)
39(21.4)
25(9.5)
1(.5)
20.616a
.000
Spouse’s
Occupation
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32
Foreign
Nonformal
Formal
employment
6(24.0)
25(7.9)
10(9.8)
2(8.0)
31(9.7)
9(8.8)
13(2.0)
159(50.0)
57(55.9)
4(16.0)
79(24.8)
24(23.5)
0(.0)
24(7.5)
2(2.0)
13.692a
14.218
.090
.076
Gravida
2
17(5.0)
24(22.2)
32(9.5)
10(9.3)
185(54.9)
44(40.7)
85(25.2)
22(20.4)
18(5.3)
8(7.4)
30.782a .000
Para
Primi para
Multi para
8(5.1)
33(11.5)
18(11.5)
24(8.3)
87(55.4)
142(49.3)
39(24.8)
68(23.6)
5(3.2)
21(7.3)
9.255a .055
Week of gestation
Preterm
Term
2(10.5)
39(9.2)
0(.0)
42(9.9)
10(52.6)
219(51.4)
5(26.3)
102(23.9)
2(10.5)
24(5.6)
2.703a
4.355
.609
.360
Type of delivery
SVD
Augmented
LSCS
20(8.7)
10(15.9)
11(7.2)
14(6.1)
7(11.1)
21(13.7)
129(56.3)
32(50.8)
68(44.4)
56(24.5)
14(22.2)
37(24.2)
10(4.4)
0(.0)
16(10.5)
22.359a
24.612
.004
.002
Complication
Yes
No
10(6.8)
31(10.4)
22(14.9)
20(6.7)
68(45.9)
161(54.2)
33(22.3)
74(24.9)
15(10.1)
11(3.7)
16.957a .002
No. of living child
≤ 2
>2
22(5.8)
19(28.4)
37(9.8)
5(7.5)
204(54.0)
25(37.3)
92(24.3)
15(22.4)
23(6.1)
3(4.5)
35.113a
26.558
.000
.000
a – likelihood ratio 521
Table 8. Associated factors for Timely RMC during delivery (n=445) 522
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33
Predictors Neutral RMC High RMC
OR( CI) P-Value OR(CI) P-Value
Type of Delivery
SVD 2.07(1.15-3.72) 0.01 1.38(0.74-2.59) 0.30
Augmented 0.99(0.47-2.10) 0.99 0.56(0.23-1.36) 0.18
LSCS 0 b - 0 b -
Gravida
Primi 2.28(0.92-6.29) 0.07 2.20(0.82-5.90) 0.12
Multi 0 b 0 b -
Monthly income (NPR)
≤ 20000 1.33(0.78-2.24) 0.289 2.36(1.3-4.23) 0.004
>20000 0 b - 0 b
Complication during delivery
Yes 0.81(0.43-1.53) 0.52 0.63(0.31-1.27) 0.63
No 0b - 0 b
Living Children
≤ 2 1.86(0.74-2.59) 0.048 1.52(0.52-4.39) 0.43
≥ 2 0 b - 0 b -
Model fitting information= Chi-square= 3.68,df=12 p-value=0.000, Pseudo R2 Nagelkerke=0.096 523
a. The reference category is 1.00 Low RMC, b This parameter set zero because it is redundant, 524
525
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