Skip to main content
Health Equity logoLink to Health Equity
. 2023 May 19;7(1):271–279. doi: 10.1089/heq.2022.0186

Matters of Gender and Social Disparities Regarding Postnatal Care Use Among Nepalese Women: A Cross-Sectional Study in Morang District

Rakchya Amatya 1,2, Mathuros Tipayamongkholgul 3,*, Nawarat Suwannapong 4, Siriwan Tangjitgamol 5
PMCID: PMC10240321  PMID: 37284539

Abstract

Objective:

The study compares the uses of postnatal care (PNC) and women's autonomy gradients across social caste and used intersectionality concepts to estimate odds ratio of women's autonomy and social caste on complete PNC.

Methods:

A community-based cross-sectional study among 600 women aged 15–49 years who had at least one child younger than the age of 2 years in Morang District, Nepal, was conducted from April to July 2019. PNC, women's autonomy (decision-making power, freedom of movement, and control over finances) and social caste were collected by both methods. Multivariable logistic regressions were used to determine associations between women's autonomy, social caste, and complete PNC.

Results:

Complete PNC totaled 13.5% of respondents. About one-fourth of respondents reported poor overall autonomy; however, non-Dalit demonstrated higher autonomy than Dalit. Non-Dalit exhibited greater odds of complete PNC by four times. Women exhibited high women's autonomy in decision-making power, control over finance, and freedom of movement and have greater odds of complete PNC than low autonomy by 17, 3, and 7 times, respectively.

Conclusion:

The study raises awareness of intersectionality (gender and social caste), relating to maternal health in caste-based system countries. To improve maternal health outcomes, health care personnel should identify and systematically address barriers that women of lower-caste membership face and offer these women appropriate advice or resources to obtain care. A multilevel change program that involves different actors like husbands and community leaders is needed for improving women's autonomy and lessening stigmatized perceptions, attitudes, or practices toward non-Dalit caste-members.

Keywords: Nepal, postnatal care, social disparity, women's autonomy

Introduction

Lessening the maternal mortality ratio (MMR) to below 70 per 100,000 live births by 2030 is likely a great challenge to countries with a low Human Development Index (HDI), including Nepal1 where MMR is about 40 times higher than others.2 Nepal has MMR of 186 per 100,000 live births.2 Over one-third of maternal deaths (34%) in Nepal occurred during the postpartum period and the majority involved postpartum hemorrhage,3 similar to other low HDI countries.4,5 To improve this situation, the Nepal Ministry of Health and Population (MoHP) recommends that women utilize postnatal care (PNC) at least three times, that is, within 24 h, 3, and 7 days postpartum.6 Unsuccessful implementation was reported by the latest national demographic and health survey at about 42.0% of women not using PNC7 and completing three PNC visits decreased from 19.0% to 16.0% in 2016 and 2018, respectively.6

Low PNC utilization is crucially influenced by social determinants, in which women are born, grow, work, live, and age.8,9 Such social conditions can structurally influence lived experiences of women, constrain resources and social opportunities that later position women into disadvantage and social stratification.9 Studies in Ethiopia,10 India,11 and United Kingdom8 emphasized disparity of maternal health and maternal health service use attributable to social determinants. Among social determinants, caste is a hereditary social stratification that determines settlement condition, marriage irrespective of faith practices of individual.12 Individuals in disadvantage caste groups are critically prone to disparities in health and service accessibility.12,13

Consistently, maternal care utilization among women in disadvantage caste group in central Asia countries were lower utilization of maternal care14,15 despite the free of charge service.13 Women who are born in low-caste group likely have poor accessibility16–18 to maternal health service due to geography and financial constraint, social discrimination, husband's education, and lack of autonomy.8,19,20

Women's autonomy is an ability through which women can act upon basic aspects of their life that affects their health and well-being.19,20 As a country with a patriarchal system, women in Nepal face an unjust imbalance of power and women's related barriers.21 Gender gaps can be found in education, income opportunities, legal rights, and health care accessibility. Nepalese women have lower autonomy than men in self-health care decision-making.22

In addition, Nepal maintains a caste-based hierarchical system, in which Brahmin/Chhetri is at the topmost of the hierarchy (advantaged caste), whereas Dalits are at the bottom (disadvantaged caste).23 Dalits have faced a complicated interconnection of historical and social biases. They generally lack human dignity and justice and may have the inability to access health services.24,25 Related studies in Nepal reported the highest MMR and lowest use of PNC among Dalits.3,23

Caste-based discrimination and gender inequity may lessen health care use among Dalit women and cause poor health outcomes among them. Effects of interconnection between social classes, ethnic, caste, and gender on women's health have widely raised awareness among public health professional.26–28 To examine insightful explanation of women health inequity, intersectionality concepts has become a crucial framework to study women's disadvantage.26,27

The Morang District lies in the Terai Region of eastern Nepal, and is ethnically diverse.29 The district has reported a lower percentage of PNC use than the national average.6,30 Social caste and gender inequity may play a crucial factor in PNC use in the area involving diverse cultures such as the Morang. We aimed to examine the relationship between women's autonomy, social caste, and complete PNC. The findings could assist health personnel to gain a better understanding of low PNC, and provide insights to improve PNC in countries with patriarchal and caste-based systems.

Methods

Study design and settings

The community-based cross-sectional study was conducted in one urban (Rangeli) and one rural (Kanepokhari) in the Morang District from April 2019 to July 2019. Morang District lies in Province No. 1 and divides into nine municipalities and eight rural areas. Rangeli and Kanepokhari were purposively selected because of the availability of the large proportion of the Dalit group who reside in these regions. Rangeli is further divided into nine wards whereas Kanepokhari is divided into seven wards.

Study participants

Study population and Sample

Women aged 15–49 years who have at least one child younger than the age of 2 years living in two selected areas of Morang District were included. Exclusion criteria included (1) hearing impairment or inability to speak and (2) being hospitalized longer than 24 h after delivery of the last child due to complications or in need of treatment.

Sample size and sampling procedure

The adequate sample size was calculated by two population proportions formula31 with 5% of Type I (5%) and 20% of Type II error. Due to the lack of PNC statistics among social caste, we used proportions of PNC within 2 days between rural (0.48) and urban areas (0.64) from the national survey7 to calculate the sample size and yielded 300 subjects per group.

Two-stage stratified probability proportional to size sampling32 was used to select 300 women from three wards of the Rangeli and Kanepokhari areas. The first stage, we select three wards from each area, and then used simple random sampling to select 100 eligible women from each selected ward's rosters of women which collected by Female Community Health Volunteers (FCHVs). By this sampling technique, each individual in the population possessed the same probability of being sampled.32 All 600 selected eligible women were informed of the research information and face-to-face interviews were commenced after the women agreed and signed the consent forms.

Research instrument

To collect quantitative data, we used the face-to-face interview-structured questionnaire. The dependent variable was PNC use. Three questions with a two-scale response (yes, no) were used to assess complete PNC, that is, use within 24 h of delivery, use on the third day, and use on the seventh day after childbirth. Positive responses to all three questions were considered complete PNC.

Independent variables included social caste which was classified in two categories: (1) Dalit or (2) non-Dalit, including Brahmin/Chhetri, Janajati, and other castes, and women's autonomy. Women's autonomy was measured through three dimensions, including control over finances, freedom of movement, and decision-making power using a 10-item structured questionnaire that was developed Bloom et al.33 It used an anchored 3-response scale, ranging from No/never, Yes, sometimes, and Yes, always.

Control over finances was assessed through respondents' answers to a series of three different circumstances: (1) regular access to money, (2) savings for personal use, and (3) spending money without consulting anyone.

Freedom of movement was assessed through respondents' freedom to go out solely on four different conditions: (1) going to the market, (2) taking a child to the doctor, (3) visiting a doctor for their health care, and (4) visiting natal kin/family.

Decision-making power was assessed through respondent's power on three different types of household decisions: (1) going out of the house without seeking permission, (2) deciding small matters such as what to cook, and (3) deciding larger matters such as schooling for children divided as family members, jointly with others or solely decided.

Previous studies found that accessibility to a health facility, age at the last childbirth of the respondents, highest education of respondent, and highest education of respondent's husband were associated with PNC.8,10,16–18 Therefore, these factors were adjusted to reveal a less biased odds ratio (OR) of social caste and women's autonomy on complete PNC.

Accessibility to health facility comprised four domains: (1) geographical accessibility, (2) financial accessibility, (3) cultural accessibility, and (4) functional accessibility. Questions were open-ended and close-ended. For close-ended questions, there were three responses: “Yes, always=3,” “Yes, sometimes=2,” “No, never=1,” and two responses: “Yes=2,” “No=1.”

The Cronbach's alpha coefficient for women's autonomy was 0.867. The total scores for each part were classified into three groups. Of the total score for women's autonomy, more than or equal to 80.0% was considered high, 60.0–79.0% was moderate, and less than 60.0% was needed to improve.

The research assistants were recruited from local health assistants (FCHVs). They could fluently speak both the local dialect and Nepali and had assisted in collecting data in previous surveys conducted in Nepal. They passed a 1-day training to understand study objectives, the questionnaire.

This study was approved by the Ethics Committee of the Faculty of Public Health, Mahidol University (MUPH 2019-048), and the Nepal Health Research Council (Ref. No: 2778). Informed consent was obtained from all participants. For illiterates, the first author read the content on the consented form, and the respondents stamped thumbprints on the consent form, and, for minors, verbal permission from the respondents' legal guardians to interview the respondents aged younger than 16 (3 respondents) years were obtained, which was approved by the Nepal Health Research Council. All methods were carried out in accordance with relevant guidelines and regulations.

Data analysis

Percentage, frequency, mean, and standard deviation were used to compare general characteristics, women's autonomy, and use of PNC by social caste. A p-value <0.05 was considered statistically significant. To estimate ORs of women's autonomy and social caste on complete PNC, we first conducted binary logistic regression to calculate OR of social caste on complete PNC. Second, we used multivariable logistic regression to calculate OR of social caste and each domain of women's autonomy on complete PNC. Finally, we conducted multivariable logistic regression to assess less bias OR of social caste and women's autonomy for complete PNC after controlling effects of geographical accessibility, financial accessibility, cultural accessibility, functional accessibility, age at birth of the last child, highest education of respondent, and highest education of respondent's. ORs and 95% confidence intervals (CIs) were calculated by binary logistic regression.

Results

Use of PNC among respondents

All selected women (600 respondents) voluntarily participated in the study (response rate=100%). Of 600 respondents, 50.7% of 335 Dalit respondents and 49.1% of 265 non-Dalit respondents resided in Kanepokhari (Table 1). Of the 600 respondents, only 13.5% reported complete PNC. PNC use at each recommended time differed between social caste; non-Dalit respondents reported to use PNC statistically higher than Dalit respondents at each timing (Fig. 1). The first visit which occurred 1 day postpartum was statistically higher among non-Dalit respondents (96%) compared to the Dalit respondents (58%), however, the percentage of PNC use in both groups declined by 50% in the following two timings (at day 3 and 7). Moreover, about 36% of Dalit respondents did not use PNC after delivery, while only 4% of non-Dalit women did not (Fig. 1).

Table 1.

Characteristics of Respondents

Characteristic Total (n=600)
Dalit (n=335)
Non-Dalit (n=265)
 
n (%) n (%) n (%) p
Areas       0.681
 Rangeli 300 (50.0) 165 (49.3) 135 (50.9)  
 Kanepokhari 300 (50.0) 265 (50.7) 130 (49.1)  
Age at birth of last child (years)
 15–19 85 (14.2) 57 (17.0) 28 (10.6) 0.034
 20–24 242 (40.3) 128 (38.2) 114 (43.0)  
 25–29 186 (31.0) 94 (28.1) 92 (34.7)  
 30–34 57 (9.5) 35 (10.4) 22 (8.3)  
 ≥35 30 (5.0) 21 (6.3) 9 (3.4)  
 Mean±SD 24.4±4.9 24.4±5.2 24.3±4.4  
 Min–max 15–41 15–41 16–39  
Highest education of respondents
 Illiterate 145 (24.2) 128 (38.2) 17 (6.4) <0.001a
 Primary 132 (22.0) 104 (31.0) 28 (10.6)  
 Secondary 89 (14.8) 42 (12.5) 47 (17.7)  
 High school 215 (35.8) 61 (18.3) 154 (58.1)  
 Bachelor degree and above 19 (3.2) 19 (7.2)  
Highest education of respondent's husband
 Illiterate 101 (16.9) 91 (27.1) 10 (3.8) <0.001
 Primary 119 (19.8) 92 (27.5) 27 (10.2)  
 Secondary 114 (19.0) 70 (20.9) 44 (16.6)  
 High school 237 (39.5) 80 (23.9) 157 (59.2)  
 Bachelor degree and above 29 (4.8) 2 (0.6) 27 (10.2)  
Average household monthly income (Nepalese Rupee)
 <6000 258 (43.0) 207 (61.8) 51 (19.2) <0.001
 6000–10,000 206 (34.3) 93 (27.8) 113 (42.6)  
 >10,000 136 (22.7) 35 (10.4) 101 (38.2)  
 Median 6000 5000 10,000  
 Min–max 1000–40,000 1000–30,000 1500–40,000  

1 USD=110.22 Nepalese Rupee.

a

Fisher's exact test.

SD, standard deviation.

FIG. 1.

FIG. 1.

Use of PNC among respondents by social caste. PNC, postnatal care.

General characteristics of respondents

The study found that adolescent pregnancy among Dalit women was nearly twice as high as that among non-Dalit women (17.0% vs. 10.6%). A higher proportion of non-Dalit respondents along with their husbands had obtained high school education level. The majority of respondents in both groups were homemakers. The proportion of non-Dalit having monthly household income over 10,000 Nepalese Rupees was over three times higher than that in the Dalit group (38.2% vs. 10.4%) (Table 1).

Women's autonomy among respondents

Women's autonomy among respondents differed significantly by social caste (p<0.001). Non-Dalit respondents were more likely to have higher autonomy. Likewise, a larger percentage of non-Dalit respondents had higher control over finances compared with Dalit respondents (20.0% vs. 6.5%), decision-making power (13.2% vs. 1.5%) and freedom of movement (37.0% vs. 16.4%) (Table 2).

Table 2.

Women's Autonomy of Respondents by Social Caste

Women's autonomy Total (n=600)
Dalit (n=335)
NonDalit (n=265)
 
n (%) n (%) n (%) p
Women's autonomy (overall)
 Poor 168 (28.0) 130 (38.8) 38 (14.4) <0.001
 Moderate 371 (61.8) 205 (61.2) 166 (62.6)  
 High 61 (10.2) 61 (23.0)  
Control over finances domain
 Poor 330 (55.0) 219 (65.4) 111 (41.9) <0.001
 Moderate 195 (32.5) 94 (28.1) 101 (38.1)  
 High 75 (12.5) 22 (6.5) 53 (20.0)  
Decision-making power domain
 Poor 304 (50.7) 234 (69.9) 70 (26.4) <0.001
 Moderate 256 (42.6) 96 (28.6) 160 (60.4)  
 High 40 (6.7) 5 (1.5) 35 (13.2)  
Freedom of movement domain
 Poor 105 (17.5) 81 (24.2) 24 (9.0) <0.001
 Moderate 342 (57.0) 199 (59.4) 143 (54.0)  
 High 153 (25.5) 55 (16.4) 98 (37.0)  

Associated factors with complete PNC

Crude odds of complete PNC were higher among non-Dalit than Dalit by eight times (crude OR=8.550; 95% CI 4.603–15.88). After adding women autonomy in to the model, adjusted odds of complete PNC among non-Dalit was 3.276 (95% CI 1.606–6.684), among high level of decision-making power (adjusted odds ratio [AOR]=15.431; 95% CI 4.935–48.247), high level of control over finances (AOR=2.102; 95% CI 0.827–5.343), and freedom of movement (AOR=5.396; 95% CI 1.474–19.785).

In our final model adjusting for geographical accessibility, financial accessibility, cultural accessibility, functional accessibility, age at birth of last child, highest educational level of respondent, and highest educational level of respondent's husband, we found that complete PNC assessments were higher among non-Dalit respondents (AOR=4.943; 95% CI 2.01–12.135), high level of decision-making power among respondents (AOR=17.841; 95% CI 4.792–66.418), control over finances among respondents (AOR=3.127; 95% CI 1.064–9.187), and freedom of movement (AOR=7.522; 95% CI 1.929–29.335) (Table 3).

Table 3.

Odds Ratio and Adjusted Odds Ratio of Social Caste and Women Autonomy for Complete Postnatal Care

  Model 1
Model 2
Model 3
 
95% CI for AOR
 
 
95% CI for AOR
 
 
95% CI for AOR
 
Crude OR Lower Upper p AOR Lower Upper p AOR Lower Upper p
Social caste
 NonDalit 8.550 4.603 15.881 <0.001 3.276 1.606 6.684 0.001 4.943 2.013 12.135 <0.001
Women autonomy
 Decision making power
  Low                        
  Moderate         2.010 0.971 4.163 0.060 2.215 0.997 4.919 0.051
  High         15.431 4.935 48.247 <0.001 17.841 4.792 66.418 <0.001
 Control over finance
  Low                        
  Moderate         0.923 0.453 1.879 0.824 1.001 0.472 2.124 0.998
  High         2.102 0.827 5.343 0.118 3.127 1.064 9.187 0.038
 Freedom of movement
  Low                        
  Moderate         1.301 0.367 4.609 0.684 1.403 0.386 5.096 0.607
  High         5.396 1.474 19.758 0.011 7.522 1.929 29.335 0.004

Model 3 adjusted for geographical accessibility, financial accessibility, cultural accessibility, functional accessibility, age at birth of last child, highest educational level of respondent, highest educational level of respondent's husband.

95% CI, 95% confidence interval; AOR, adjusted odds ratio; OR, odds ratio.

Discussion

The study revealed that the complete PNC use in the study area was far below the national target (50.0% in 2020)6 and complete PNC among Dalit women was lower than among non-Dalit women. This study found that the proportion of PNC use among Dalit women was lower than that reported in the national survey12 because the survey analyzed only single PNC visits within 2 days of childbirth.

This study emphasized the effects of the intersectionality of social caste and gender power disparity on complete PNC. Dalit women were less likely to comply with recommended PNC use compared with non-Dalit women. The reason behind this disparity may be the poor social and economic conditions of the Dalit group. In the study area, the Dalit were found to have obtained lower educational levels, earned less income, and been involved in more laborious work compared with the non-Dalit group. Similarly, women with low education levels and low wealth index were less likely to use maternal health services than women with high education levels and high wealth index in other studies in Benin,34 India,11,15 Nepal,14,35 Nigeria,18,36 and Pakistan.14,17 Both Dalit and non-Dalit women generally have low levels of autonomy, except for a slightly higher freedom of movement among non-Dalits.

Dalits may experience mobility restrictions because of socioeconomic disadvantage, poverty, illiteracy, and limited resources. In addition, Dalit women are more likely to be the victims of violence, sexual assault, and harassment, which restrict their freedom of movement and prevents them from traveling.12–15,25,37,38 The lower PNC use among Dalit women may also be related to poor self-awareness and lack of health information accessibility due to social bias. Many women in our study areas revealed that they were unaware of risky conditions and adverse events after delivery. They mentioned that PNC was unnecessary unless any severe conditions were present. Poor knowledge and household roles of women such as taking care of household members, parenting, and domestic responsibilities could lessen this awareness of PNC among Asian women.

Lack of awareness regarding PNC services and their importance was found to be a barrier to receiving these services among women in Ethiopia,10,39 Uganda, and Zambia.40 In addition, social isolation due to daily household chores among Nepalese women was also found to have negative effects on using maternal health care.41,42

Women's autonomy, including control over finances, was also found to be associated with complete PNC use. In the study area, most women were not allowed to spend money without consulting their husbands or other family members. Also, the majority could not set aside money for their personal use. These situations might hinder the women from visiting a health facility to receive PNC services. A positive association was reported between women's control over finances and use of maternal health services in other studies in Bangladesh,41 Nepal,42,43 and sub-Saharan African countries.38,44 This relationship could be supported by the fact that when women are given the power for controlling financial assets, they will have the ability to make choices and assess the costs and benefits of the available resources. As a result, she can use those resources in the most effective way.45

Women having the power to make decisions were more likely to use complete PNC services in this study. Other studies conducted in Afghanistan, Ethiopia, and Nepal also concluded that the decision-making power of women concerning their health, household purchases, and women's mobility was positively associated with maternal health service use.46,47 This could be further explained as women possessing the power to make their own decision can control their health care and decrease their risky behaviors.48 However, only a small proportion of the respondents usually decided all by themselves. The majority were not allowed to leave the house without permission. One woman during the data collection expressed her autonomy and explained her compulsion to follow her mother-in-law's advice and not receive any services she presumed were unnecessary.

Women's freedom of movement and complete PNC use were positively correlated. Having said that, some women in the study area were not allowed to solely visit the doctor as well as travel to places such as local market and natal home. This restricted mobility may limit their access to information and lower their decision-making power even concerning personal matters such as their health care. Furthermore, women's freedom of mobility, decision-making, and rights remain limited due to the prevalence of patriarchal systems in Nepal.49 The association of freedom of movement with maternal health use has also been reported in India33–49 and Bangladesh.41

Strength and limitations

Data were collected among large samples to compare between Dalit and non-Dalit groups. Due to the cross-sectional nature of this study, the respondents reported their past behaviors which might have been influenced by remembering their experiences inaccurately or omitting details. However, women who had delivered their baby within the past 2 years were chosen to minimize any recall bias. Moreover, lack of women's autonomy, being a sensitive issue, could also have involved reporting bias. However, interviews were conducted privately and were designed to reduce this issue. Although this study used local translators, they were trained before collecting data to reduce information errors.

Health Equity Implication

The study revealed that social caste plays an important role on postnatal health service utilization. This study also raises awareness on the intersectional effects of gender and caste on maternal health care in countries where caste systems are still legally present or socially reinforced. To improve maternal health outcomes, health care personnel should identify and systematically address barriers that women of lower caste membership face and offer these women appropriate advice or resources to obtain care. In addition, it is necessary to formulate a program that involves different actors like husbands, family members, and community leaders and impacts multilevel change for improving women's autonomy and also lessens the stigmatized perceptions, attitudes, or practices toward non-Dalit caste-members.

Acknowledgments

The authors thank all the authorized individuals as well as Female Community Health Volunteers (FCHVs) of Rangeli and Kanepokhari of Morang District providing important information and helping to collect data. The authors are also grateful for the kind cooperation of all mothers of children younger than 2-year-old participating in the study and making the work successful.

Abbreviations Used

AOR

adjusted odds ratio

CI

confidence interval

FCHV

Female Community Health Volunteer

HDI

Human Development Index

OR

odds ratio

PNC

postnatal care

SD

standard deviation

Authors' Contributions

R.A. initiated the research, collected data in the study sites, analyzed data, and drafted the article. M.T. initiated and designed methods, guided and approved data analysis, edited, and approved the article. S.N. and S.T. guided research concepts and approved the article.

Author Disclosure Statement

No competing financial interests exist.

Funding Information

No funding was received for this article.

Cite this article as: Amatya R, Tipayamongkholgul M, Suwannapong N, Tangjitgamol S (2023) Matters of gender and social disparities regarding postnatal care use among Nepalese women: a cross-sectional study in Morang District, Health Equity 7:1, 271–279, DOI: 10.1089/heq.2022.0186.

References

  • 1. Yaya S, Ghose B. Global inequality in maternal health care service utilization: Implications for sustainable development goals. Health Equity 2019;3(1):145–154; doi: 10.1089/heq.2018.0082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. World Health Organization. Trends in Maternal Mortality 2000 to 2017: Estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division: Executive Summary. World Health Organization: Geneva, Switzerland; 2019. Available from: https://www.unfpa.org/resources/trends-maternal-mortality-2000-2017-executive-summary [Last accessed: June 20, 2022].
  • 3. Suvedi BK, Pradhan A, Barnett S, et al. Nepal Maternal Mortality and Morbidity Study 2008/2009: Summary of Preliminary Findings. Kathmandu, Nepal: Family Health Division, Department of Health Services, Ministry of Health, Government of Nepal; 2009. Available from: https://fwd.gov.np/wpcontent/uploads/2021/03/NMMM_Study_2008_09.pdf [Last accessed: June 20, 2022].
  • 4. Lawn JE, Blencowe H, Oza S, et al. ; Lancet Every Newborn Study Group. Every newborn: Progress, priorities, and potential beyond survival. Lancet 2014;384:189–205; doi: 10.1016/S0140-6736(14)60496-7 [DOI] [PubMed] [Google Scholar]
  • 5. Nour NM. An introduction to maternal mortality. Rev Obstet Gynecol 2008;1(2):77–81. [PMC free article] [PubMed] [Google Scholar]
  • 6. Ministry of Health and Population. Annual Report of Department of Health Services. Department of Health Services, Ministry of Health and Population, Government of Nepal: Kathmandu, Nepal; 2018. Available from: https://dohs.gov.np/annual-report-f-y-2068-69/ [Last accessed: June 20, 2022].
  • 7. Ministry of Health and Population. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: Ministry of Health and Population, Government of Nepal; 2017. Available from: https://dhsprogram.com/pubs/pdf/SR243/SR243.pdf
  • 8. Jones GL, Mitchell CA, Hirst JE, et al. ; Royal College of Obstetricians and Gynaecologists. Understanding the relationship between social determinants of health and maternal mortality: Scientific Impact Paper No. 67. BJOG 2022;129(7):1211–1228; doi: 10.1111/1471-0528.17044 [DOI] [PubMed] [Google Scholar]
  • 9. Commission on Social Determinants of Health CSDH Final Report: Closing the Gap in a Generation: Health Equity Through Action on the Social Determinants of Health. World Health Organization: Geneva; 2008. [Google Scholar]
  • 10. Birmeta K, Dibaba Y, Woldeyohannes D. Determinants of maternal health care utilization in Holeta town, central Ethiopia. BMC Health Serv Res 20133;13:256.; doi: 10.1186/1472-6963-13-256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Hamal M, Dieleman M, De Brouwere V, et al. Social determinants of maternal health: A scoping review of factors influencing maternal mortality and maternal health service use in India. Public Health Rev 2020;41:13; doi: 10.1186/s40985-020-00125-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Patil RR. Caste-, work-, and descent-based discrimination as a determinant of health in social epidemiology. Soc Work Public Health 2014;29(4):342–349; doi: 10.1080/19371918.2013.821363 [DOI] [PubMed] [Google Scholar]
  • 13. Nayar KR. Social exclusion, caste & health: A review based on the social determinants framework. Indian J Med Res 2007;126(4):355–363. [PubMed] [Google Scholar]
  • 14. Mumtaz Z, Jhangri GS, Bhatti A, et al. Caste in Muslim Pakistan: A structural determinant of inequities in the uptake of maternal health services. Sex Reprod Health Matters 2022;29(2):2035516; doi: 10.1080/26410397.2022.2035516 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Saroha E, Altarac M, Sibley LM. Caste and maternal health care service use among rural Hindu women in Maitha, Uttar Pradesh, India. J Midwifery Womens Health 2008;53(5):e41–e47; doi: 10.1016/j.jmwh.2008.05.002 [DOI] [PubMed] [Google Scholar]
  • 16. Titaley CR, Hunter CL, Heywood P, et al. Why don't some women attend antenatal and postnatal care services?: A qualitative study of community members' perspectives in Garut, Sukabumi and Ciamis districts of West Java Province, Indonesia. BMC Pregnancy Childbirth 2010;10(1):61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Sultana N, Shaikh BT. Low utilization of postnatal care: Searching the window of opportunity to save mothers and newborns lives in Islamabad capital territory, Pakistan. BMC Res Notes 2015;8:645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Somefun OD, Ibisomi L. Determinants of postnatal care non-utilization among women in Nigeria. BMC Res Notes 2016;9:21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Banda PC, Odimegwu CO, Ntoimo LF, et al. Women at risk: Gender inequality and maternal health. Women Health 2017;57(4): 405–429; doi: 10.1080/03630242.2016.1170092 [DOI] [PubMed] [Google Scholar]
  • 20. Osamor PE, Grady C. Women's autonomy in health care decision-making in developing countries: A synthesis of the literature. Int J Womens Health 2016;8:191–202; doi: 10.2147/IJWH.S105483 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Asian Development Bank. Overview of Gender Equality and Social Inclusion in Nepal. Asian Development Bank: Philippines; 2010. Available from: https://www.adb.org/sites/default/files/institutional-document/32237/cga-nep-2010.pdf [Last accessed: June 20, 2022].
  • 22. Acharya M, Mathema P, Acharya B. Country Briefing Paper: Women in Nepal.Asian Development Bank: Philippines; 1999. Available from: https://www.adb.org/sites/default/files/institutional-document/32561/women-nepal.pdf [Last accessed: June 20, 2022].
  • 23. Pandey JP, Dhakal MR, Karki S, et al. Maternal and Child Health in Nepal: The Effects of Caste, Ethnicity, and Regional Identity: Further Analysis of the 2011 Nepal Demographic and Health Survey. Nepal Ministry of Health and Population, New ERA, and ICF International: Kathmandu, Nepal; 2013. Available from: https://www.dhsprogram.com/pubs/pdf/FA73/FA73.pdf [Last accessed: June 20, 2022].
  • 24. Acharya SS. Access to Health Care and Patterns of Discrimination: A Study of Dalit Children in Selected Villages of Gujarat and Rajasthan. Indian Institute of Dalit Studies and UNICEF: New Delhi; 2010. Available from: http://www.dalitstudies.org.in/uploads/publication/1473145022.pdf [Last accessed: June 20, 2022].
  • 25. Sob D. The situation of the Dalits in Nepal: Prospects in a new political reality. Contemp Voice Dalit 2012;5(1):57–62; doi: 10.1177/0974354520120105 [DOI] [Google Scholar]
  • 26. Al-Faham H, Davis AM, Ernst R. Intersectionality: From theory to practice. Annu Rev Law Soc Sci 2019;15(1):247–265. [Google Scholar]
  • 27. Crenshaw K. Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. Univ Chicago Legal Forum 1989;(1):139–167. Available from: https://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8/ [Google Scholar]
  • 28. Richardson LJ, Brown T. (En)gendering racial disparities in health trajectories: A life course and intersectional analysis. SSM—Popul Health 2016;2:425–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Central Bureau of Statistics. Local Level Profile of Morang. District Coordination Committee: Morang, Nepal; 2017. (In Nepali) [Google Scholar]
  • 30. District Public Health Office. District Health Report of Morang. District Public Health Office: Morang, Nepal; 2016. (In Nepali) [Google Scholar]
  • 31. Lwanga SK, Lemeshow S. Sample Sample Size Determination in Health Studies; 1991. Available from: https://apps.who.int/iris/bitstream/handle/10665/40062/9241544058_%28p1-p22%29.pdf?sequence=1&isAllowed=y [Last accessed: June 20, 2022].
  • 32. World Health Organization. Steps in Applying Probability Proportional to Size (PPS) and Calculating Basic Probability Weights. Available from: https://cdn.who.int/media/docs/default-source/hq-tuberculosis/global-task-force-on-tb-impact-measurement/meetings/2008-03/p20_probability_proportional_to_size.pdf?sfvrsn=51372782_3 [Last accessed: June 20, 2022].
  • 33. Bloom SS, Wypij D, Gupta MD. Dimensions of women's autonomy and the influence on maternal health care utilization in a North Indian City. Demography 2001;38(1): 67–78; doi: 10.2307/3088289 [DOI] [PubMed] [Google Scholar]
  • 34. Yaya S, Uthman OA, Amouzou A, et al. Inequalities in maternal health care utilization in Benin: A population based cross-sectional study. BMC Pregnancy Childbirth 2018;18(1):194; doi: 10.1186/s12884-018-1846-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Khanal V, Adhikari M, Karkee R, et al. Factors associated with the utilisation of postnatal care services among the mothers of Nepal: analysis of Nepal Demographic and Health Survey 2011. BMC Womens Health 2014;14(1):19; doi: 10.1186/1472-6874-14-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Babalola S, Fatusi A. Determinants of use of maternal health services in Nigeria-looking beyond individual and household factors. BMC Pregnancy Childbirth 2009;9:43; doi: 10.1186/1471-2393-9-43 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Asian Development Bank. Gender Equality Results Case Study: Nepal Gender Equality and Empowerment of Women Project. Asian Development Bank: Mandaluyong City, Philippines; 2016. [Google Scholar]
  • 38. Lamichhane A, Rana S, Shrestha K, et al. Violence and sexual and reproductive health service disruption among girls and young women during COVID-19 pandemic in Nepal: A cross-sectional study using interactive voice response survey. PLoS One 2021;16(12):e0260435; doi: 10.1371/journal.pone.0260435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Berhe A, Bayray A, Berhe Y, et al. Determinants of postnatal care utilization in Tigray, Northern Ethiopia: A community based cross-sectional study. PLoS One 2019;14(8):e0221161; doi: 10.1371/journal.pone.0221161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Sacks E, Masvawure TB, Atuyambe LM, et al. Postnatal care experiences and barriers to care utilization for home- and facility-delivered newborns in Uganda and Zambia. Matern Child Health J 2017;21(3):599–606; doi: 10.1007/s10995-016-2144-4 [DOI] [PubMed] [Google Scholar]
  • 41. Haque SE, Rahman M, Mostofa MG, et al. Reproductive health care utilization among young mothers in Bangladesh: Does autonomy matter? Womens Health Issues 2012;22(2):e171–180; doi: 10.1016/j.whi.2011.08.004 [DOI] [PubMed] [Google Scholar]
  • 42. Sekine K, Carter DJ. The effect of child marriage on the utilization of maternal health care in Nepal: A cross-sectional analysis of Demographic and Health Survey 2016. PLoS One 2019;14(9):e0222643; doi: 10.1371/journal.pone.0222643 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Furuta M, Salway S. Women's position within the household as a determinant of maternal health care use in Nepal. Int Fam Plan Perspect 2006;32(1):17–27; doi: 10.1363/3201706 [DOI] [PubMed] [Google Scholar]
  • 44. Iacoella F, Tirivayi N. Determinants of maternal healthcare utilization among married adolescents: Evidence from 13 Sub-Saharan African countries. Public Health 2019;177:1–9; doi: 10.1016/j.puhe.2019.07.002 [DOI] [PubMed] [Google Scholar]
  • 45. Smith LC, Ramakrishnan U, Ndiaye A, et al. The Importance of Women's Status for Child Nutrition in Developing Countries. International Food Policy Research Institute: North America, USA; 2003. Available from: https://ebrary.ifpri.org/utils/getfile/collection/p15738coll2/id/90850/filename/90851.pdf [Last accessed: March 2, 2023].
  • 46. Mumtaz S, Bahk J, Khang YH. Current status and determinants of maternal healthcare utilization in Afghanistan: Analysis from Afghanistan Demographic and Health Survey 2015. PLoS One 2019;14(6):e0217827; doi: 10.1371/journal.pone.0217827 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Tiruneh FN, Chuang KY, Chuang YC. Women's autonomy and maternal healthcare service utilization in Ethiopia. BMC Health Serv Res 2017;17(1):718; doi: 10.1186/s12913-017-2670-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Dyson T, Moore M. On kinship structure, female autonomy, and demographic behavior in India. Popul Dev Rev 1983;9(1):35–60; doi: 10.2307/1972894 [DOI] [Google Scholar]
  • 49. Adhikari R. Effect of Women's autonomy on maternal health service utilization in Nepal: A cross sectional study. BMC Womens Health 2016;16(1):26; doi: 10.1186/s12905-016-0305-7 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Health Equity are provided here courtesy of Mary Ann Liebert, Inc.

RESOURCES