Stillbirths and early neonatal mortality continue to be a huge public health challenge in developing countries, despite an overall global reduction of under-five child mortality and stillbirth. 1 In 2011, the global burden of third trimester stillbirths was 2.6 million, and data reported in 2015 estimated that early neonatal mortality was ~2 million babies a year. 2 Of the neonatal deaths, almost three quarters, occur in first week of life, most within the first 48 hours. 3 The 2020 global targets for early neonatal morality and stillbirth are set at less than 15 and 14 per 1000 births by the year 2020 but for many low and middle-income countries, this will be challenging. 1

Low- and middle-income countries account for the greatest burden of perinatal mortality. 4 These countries including Pakistan and neighbouring India and Bangladesh share a large burden of perinatal mortality along with Sub-Saharan African countries. In 2015 Pakistan had an estimated 242,600 stillbirths at a rate of approximately 43 per 1000 births - the highest in the world. Similarly there were 244,700 neonatal deaths 5, 6 with a neonatal mortality rate of 40 per 1000 live births, 7 the highest in the Eastern Mediterranean region. 8 Recent nationally representative surveys in Pakistan, have reported even higher rates. The 2012 Pakistan demographic and health survey (DHS) reported a perinatal mortality rate of 75 per 1,000 births with very little progress since the 2007 DHS. 9 The causes of the high burden of perinatal deaths in countries like Pakistan are multifaceted. In Pakistan, antepartum maternal disorders including hypertension, haemorrhage and other maternal conditions account for almost a quarter of stillbirths. Intrapartum asphyxia accounts for another quarter and the remaining antepartum cases are usually unexplained (33%) or intrapartum unexplained (21%) causes. These unexplained intrapartum deaths could be because of congenital anomalies, intrapartum hypoxia, preterm labour and intrapartum infections. 10 Intrapartum stillbirths are especially linked with the delay and poor quality of health services around birth. The quality of and access to the health services by rural women is the main reason for the high stillbirth burden in the intrapartum period in South Asia. 5 As for neonatal mortality, infections, preterm birth and birth asphyxia account for almost all of neonatal deaths in high burden countries like Pakistan. 11 However preterm birth is the main cause of early neonatal mortality and is also the primary cause of under-5 child mortality globally, including in Pakistan. 7 Neonatal birth asphyxia because of labour complications causes about a third of all neonatal deaths. 3 In countries with a high perinatal burden these maternal factors account for most of the losses, but in more than half of all deaths no cause has been identified. 4, 6 These are exasperated by health system related factors such as lack of access to and provision of essential maternal and newborn care especially around birth and the absence of functional linkages between communities and health facilities for the provision of essential services. Inequity can occur at different levels, not only within health service delivery and at the time of utilisation but it can also exist at the community and individual level. Importantly, distal factors such as inequity in access to maternal care 5 have not been investigated and warrant consideration.

Though studies have analysed the relationship of birth outcomes with several biological and sociodemographic factors 12-13 there exists a gap in identifying key factors and challenges specific to individual settings in high burden countries. 3 Women’s empowerment to access healthcare services in pregnancy has not been previously considered in research originating from high burden countries. Therefore, we aimed to determine the impact of women’s empowerment related factors on the risk of stillbirth and early neonatal mortality in Pakistan, specifically focusing on the role of women’s empowerment to make her own decisions around pregnancy and birth and how this could impact adverse perinatal outcomes.


We used the Pakistan DHS 2012-13 data obtained from the DHS program for the present analysis. 9 Data from two surveys questionnaires; the women’s survey and the household survey, were included in the analysis. We analysed both stillbirth and early neonatal mortality separately. We used the DHS definition of stillbirth as a ‘‘fetal death in pregnancy lasting for seven or more months to women aged 15-49 years at the time of the survey’’. The denominator for stillbirths was pregnancies of seven or more months’ duration that terminated in a fetal death plus pregnancies that ended with a live birth. Early neonatal mortality was defined as deaths between day 0 to 6 among live-born babies.

Statistical analysis and variables

Variable selection for our analysis was based on known risk factors of perinatal mortality ascertained from previous research. We classified identified variables by groups, which included sociodemographic, health services during antenatal and postnatal periods, women’s empowerment and family planning use. The main exposure factors were variables that measured dimensions of women’s empowerment and her access, both physical and financial, to health services, especially around the perinatal period. We categorised women who worked as either “manual work” or “no work”, because most women worked in agriculture, which was a type of manual work. The household cooking fuel variable was categorised as “clean” or “unclean fuel” based on the type of the fuel the household used; kerosene was included in the unclean fuel category. For the ethnicity variable, we merged the ethnicities with very small numbers into a single category of ‘others’. Women’s body mass index (BMI) variable was calculated from the height and weight variables available in the data set.

Stillbirth data analysis was based on variables that measured inequities in the women’s questionnaire (background characteristics, reproductive history, family planning, antenatal care, birth and postnatal care, breastfeeding and infant feeding practices etc.) and health services related variables were obtained by the household questionnaire. The stillbirth variable was generated by single STATA command that included observations for the singleton pregnancies in the last five years.

A dichotomous early neonatal mortality variable was created from a variable that initially had three categories: survived in the neonatal period, early neonatal mortality and late neonatal mortality. Observations for ‘survived neonatal period’ and ‘late neonatal mortality’ categories were merged into single category of ‘no early neonatal mortality’. A framework originally developed by Mosley and Chen 14 to study neonatal survival was used to determine the risk factors associated with early neonatal mortality. Potential confounders were classified in groups of socioeconomic, environmental, nutrition, biological and birth spacing related factors of early neonatal mortality. Informed verbal consent was obtained from the participants in the DHS survey at the time of the interviews.

We calculated stillbirth and early neonatal mortality rates per 1000 births and live births respectively, for all variables. Descriptive data was followed by univariate logistic regression analysis reporting odds ratios and 95% confidence intervals for the two outcome variables of stillbirth and early neonatal mortality. First, groups of statistically significant (P<0.25) variables were entered the model. Next, we kept the significant variables or those known as important regardless of their statistical significance until the model was fitted. We used a backward elimination method of model building in which we included variables stepwise and group by group according to the framework above, after removing variables for multicollinearity. The variables with P>0.25 and insignificant in the univariate analysis were removed from the final multivariate models. Univariate associations of covariates with the outcome variable are presented using odds ratios (OR). In the multivariate models we adjusted for other included covariates and these are presented as adjusted odds ratios (aOR). An aOR, considers the effect of all the predictor variables included in the multivariate model and controls their confounding effect on the outcome variable. “Svy” commands were used in our analysis to adjust for the survey weights and cluster design effect of the DHS survey. Observations with missing values were excluded from the analysis. Multiple pregnancies accounted for 158 stillbirth cases and 129 in the neonatal data sets and were removed. We used STATA version 13.1 to analyse our data.


The analysis identified 412 (3.43%) stillbirths in 11,985 singleton births and 501 (4.25%) early neonatal deaths among 11,596 live births, in the five years preceding the DHS. In both the neonatal and the stillbirth data sets, mothers younger than 29 years consisted of almost 50% (664) of the survey sample, about 70% (8750) belonged to rural areas, 70% (8639) used unclean fuels for cooking (and were therefore exposed to household air pollution). About 47% (5597) of the women were poor, 59% (7063) had no education and 57% (7020) of the sample were from the most populous province, Punjab. Although about three quarters (%, 9169) of women had made at least one antenatal care visit, only 14.6% (1327) had visited any health care provider during the first month of pregnancy and 51% (6125) of all births occurred in the home.


Overall, the stillbirth rate was 34.4 per 1000 births (Table 1). The odds of stillbirth were higher if the women belonged to Baluchi (OR=3.53, 95% CI=1.93-6.54) and Barahui (OR=3.60, 95% CI=1.46-8.92) compared to Urdu ethnicities, they lived in a rural compared to an urban area(OR=1.8, 95% CI=1.41-2.51), performed any manual work compared to no work (OR=1.60, 95% CI=1.13-2.27), their husbands were educated up to primary compared to higher education (OR=1.73, 95% CI=1.01-2.96) and were a blood relation to their husbands compared to not related to their husband (OR=1.73, 95% CI=1.23-2.43). Women’s empowerment and access to health care was associated with stillbirth in the univariate analysis. Women who experienced problems compared with no problems in getting permission to attend pregnancy care (OR=1.47, 95% CI=1.08-1.99) or who had trouble getting money needed for the treatment (OR=1.49, 95% CI=1.05-2.13) and those who did not want to go alone to their health care provider (OR=1.47, 95% CI=1.08-1.99) had higher odds of stillbirth. Women who said that distance to a health facility was a big problem, compared to those who said it was not, had higher odds of stillbirth (OR=1.38, 95% CI=1.00-1.89). Women whose elders or husband decided about their healthcare compared to women who decided themselves were more than twice as likely to have a stillbirth (OR=2.24, 95% CI=1.19-4.23). Univariate analysis with family planning related variables demonstrated that women who had never used any family planning method were more likely to have had a stillbirth compared to women who had used a modern method (OR=1.61, 95% CI=1.23-2.11), women who wanted a pregnancy then compared to those who wanted no more children had a higher odds of stillbirth (OR=2.45, 95% CI=1.23-4.86). Similarly, women who believed that the ideal number of boys was more than three compared to less than three, had higher odds of stillbirth (OR=1.40, 95% CI=1.02-1.91).

Table 1. Risk factors of Stillbirths in Pakistan (2012-13)
Live births n (%) Stillbirths n (%) Total births SBR/1000 births OR* (95% CI) aOR(95% CI)
Age (years):
15-24 2701 (22.8) 98 (23.8) 2799 35.0 0.98 (0.69-1.40) 0.86 [0.57-1.29)
25-29 3727 (31.4) 138 (33.4) 3865 35.6 Reference Reference
30-34 3100 (26.1) 101 (24.5) 3201 31.6 0.88 (0.50-1.57) 0.91 (0.54-1.56)
35-49 2328 (19.6) 75 (18.2) 2403 31.2 0.87 (0.61-1.25) 0.91 (0.63-1.31)
No education 6786 (57.2) 277 (67.3) 7063 39.2 2.09 (1.20-3.65)
Primary 2016 (17.0) 66 (16.0) 2082 31.6 1.67 (0.88-3.18)
Secondary 2095 (17.7) 50 (12.2) 2145 23.5 1.23 (0.64-2.38)
Higher 959 (8.1) 19 (4.5) 978 19.2 Reference
Urdu 950 (8.0) 19 (4.5) 968 19.1 Reference Reference
Punjabi 4328 (36.5) 137 (33.2) 4465 30.6 1.62 (0.94-2.81) 1.34 (0.77-2.34)
Sindhi 1168 (9.9) 46 (11.1) 1213 37.6 2.01 (1.09-3.69) 1.14 (0.59-2.20)
Pashto 1563 (13.2) 49 (12.0) 1612 30.6 1.62 (0.89-2.96) 1.32 (0.70-2.46)
Baluchi 584 (4.9) 40 (9.8) 625 64.4 3.53 (1.93-6.45) 1.93 (1.03-3.61)
Barahui 340 (2.9) 24 (5.8) 364 65.6 3.60 (1.46-8.92) 2.25 (0.85-5.98)
Siraiki 1980 (16.7) 79 (19.3) 2060 38.5 2.06 (1.05-4.01) 1.46 (0.72-2.94)
Others 934 (7.9) 18 (4.4) 952 19.0 1.00 (0.44-2.26) 0.82 (0.36-1.87)
Place of residence:
Urban 3444 (29.1) 74 (17.9) 3518 21.0 Reference
Rural 8412 (70.9) 338 (82.1) 8750 38.7 1.88 (1.41-2.51)
Women’s occupation:
No work 8770 (74.2) 264 (64.2) 9034 29.2 Reference Reference
Manual work 3056 (25.8) 147 (35.8) 3203 45.9 1.60 (1.13-2.27) 1.55 (1.09-2.21)
Husband's education:
No education 4031 (34.1) 146 (35.4) 4177 34.9 1.49 (0.93-2.37)
Primary 2029 (17.2) 85 (20.7) 2114 40.4 1.73 (1.01-2.96)
Secondary 3967 (33.5) 137 (33.2) 4104 33.3 1.42 (0.87-2.30)
Higher 1798 (15.2) 44 (10.6) 1842 23.8 Reference
Blood relation with husband:
No 4026 (34.0) 95 (23.0) 4121 22.9 Reference Reference
Yes 7827 (66.0) 317 (77.0) 8144 39.0 1.73 (1.23-2.43) 1.45 (1.01-2.06)
Husband related as:
1st cousin on father's side 3275 (41.9) 165 (52.3) 3440 47.9 1.87 (1.05-3.35)
1st cousin on mother's side 2463 (31.5) 94 (29.9) 2557 36.9 1.42 (0.72-2.81)
Second cousin 949 (12.1) 25 (8.1) 975 26.1 1.00 (0.47-2.12)
Other/not related 1133 (14.5) 31 (9.7) 1164 26.2 Reference
Getting medical help for self: (maternal healthcare access):
Getting permission to go:
Big problem 2541 (21.5) 118 (28.6) 2659 44.4 1.47 (1.08-1.99)
Not a big problem 9294 (78.5) 294 (71.4) 9588 30.7 Reference
Getting money needed for treatment:
Big problem 3965 (33.5) 177 (43.0) 4142 42.7 1.49 (1.05-2.13)
Not a big problem 7870 (66.5) 235 (57.0) 8105 29.0 Reference
Distance to health facility:y
Big problem 4850 (41.0) 201 (48.9) 5051 39.8 1.38 (1.00-1.89)
Not a big problem 6985 (59.0) 211 (51.1) 7196 29.3 Reference
Not wanting to go alone:
Big problem 7039 (59.5) 281 (68.3) 7320 38.4 1.47 (1.08-1.99)
Not a big problem 4797 (40.5) 131 (31.7) 4928 26.5 Reference
Usually deciding respondent's healthcare:
Respondent alone 1005 (8.6) 21 (5.2) 1026 20.5 Reference Reference
Respondent and husband/partner 4478 (38.2) 125 (31.0) 4603 27.1 1.33 (0.70-2.52) 1.23 (0.64-2.35)
Husband/partner alone 4016 (34.3) 153 (38.0) 4169 36.7 1.82 (0.93-3.55) 1.51 (0.77-2.98)
Family elders/others 2213 (18.9) 104 (38.0) 2317 44.8 2.24 (1.19-4.23) 2.04 (1.05-3.99)
Beating justified if wife argues with husband:
No 7902 (66.8) 249 (60.5) 8151 30.6 Reference
Yes 3747 (31.7) 157 (38.2) 3904 40.3 1.57 (1.08-2.28)
Don't know 183 (1.5) 5 (1.3) 188 28.1 0.66 (0.15-2.85)
Birth and family planning:
Ever used any family planning method:
Used modern 6206 (52.3) 178 (43.1) 6384 27.8 Reference Reference
Never used any 4713 (39.7) 217 (52.7) 4930 44.0 1.61 (1.23-2.11) 1.47 (1.06-2.04)
Used only traditional 938 (7.9) 17 (4.1) 955 17.9 0.66 (0.36-1.20) 0.67 (0.36-1.23)
Last pregnancy wanted:
No more 1121 (9.5) 13 (4.4) 1134 11.2 Reference
Then 9295 (78.5) 257 (89.3) 9552 26.9 2.45 (1.23-4.86)
Later 1418 (12.0) 18 (6.3) 1436 12.6 1.12 (0.45-2.82)
Ideal number of boys:
0-2 boys 8239 (69.5) 255 (62.0) 8494 30.1 Reference
≥3 boys 3618 (30.5) 157 (38.0) 3774 41.5 1.40 (1.02-1.91)

SBR – Stillbirth rate, CI – confidence interval


†Adjusted for age, ethnicity, respondent’s occupation, decision about health care and ever use of a family planning method.

In the final multivariate model, ethnicity was statistically associated with stillbirth and being Baluchi compared to Urdu carried almost a twofold risk of stillbirth (aOR=1.93, 95% CI=1.03-3.61). Women who reported manual labour had 1.55 times higher odds of stillbirth compared to women who did not work (aOR=1.55, 95% CI=1.09-2.21). Women with a blood relationship to their husbands had 1.45 times higher odds of stillbirth compared to women who were married to a non-blood related husband (aOR=1.45, 95% CI=1.01-2.06). Women whose family elders decided about their healthcare compared to women who decided themselves were twice at risk of stillbirth (aOR=2.04, 95% CI=1.05-3.99). Women who had never used any (traditional or modern) method of family planning were 1.47 times more likely to have had a stillbirth compared to women who had ever used a modern method (aOR 1.47, 95% CI=1.06-2.04). The stillbirth model included the education variable however it was not statistically significant in the multivariate model. Similarly, as age is associated with stillbirth we made an a priori decision to retain maternal age variable in the stillbirth model.

Early neonatal mortality

Overall, the early neonatal mortality rate was 43 per 1000 live births (Table 2). Women with no education compared to higher education (OR=2.66, 95% CI=1.42-4.99) and Baluchi compared to Urdu ethnic women (OR=2.33, 95% CI=1.32-4.09) were more than twice as likely to have had an early neonatal mortality. Women who lived in a rural compared to an urban area (OR=1.72, 95% CI=1.28-2.31) and women who did manual work compared to no work were also more likely to have had an early neonatal mortality (OR=1.41, 95% CI=1.13-1.96). The association between women’s empowerment and health care access with early neonatal mortality showed that women who reported that it was a "big problem’’ in getting money for treatment (OR=1.39, 95% CI=1.05-1.83) and women who did not want to go alone for pregnancy care had higher odds of early neonatal morality (OR=1.39, 95% CI=1.04-1.84). Newborns whose birth weight was unmeasured compared to those with birth weight of >2500g had very high odds of death within the first week of life (OR=3.6, 95% CI=1.77-7.14). Also, mothers with BMI of <18.5kg/m2 compared to mothers within normal BMI had higher odds of an early neonatal mortality (OR= 1.68, 95% CI=1.05-2.69). Family planning also had a similar pattern of association to the stillbirth results. Women who wanted their last child later compared to those who did not want any child had almost 50% reduced odds of an early neonatal mortality (OR=0.45, 95% CI=0.23-0.89). Higher gravida of >5 pregnancies compared to 1-2 pregnancies carried a higher likelihood of early neonatal mortality (OR=1.62, 95% CI=1.14-2.29). Non-use of family planning methods compared with the use of a modern method carried a 70% higher risk of early neonatal mortality (OR=1.70, 95% CI=1.22-2.36).

Table 2. Risk factors of early neonatal mortality in Pakistan (2012-13)
Survived Early neonatal period n (%) Early neonatal mortality Total Early neonatal mortality rate/1000 live births OR* (95% CI) OR(95% CI)
25-29 3616 (32.0) 109 (21.7) 3725 29.2 0.65 (0.41-1.02)
30-34 2922 (25.9) 140 (27.8) 3062 45.6 1.03 (0.68-1.56)
35-49 2180 (19.3) 133 (26.6) 2313 57.6 1.32 (0.95-1.82)
Education level:
No education 6439 (57.0) 331 (66.0) 6770 48.9 2.66 (1.42-4.99)
Primary 1915 (16.9) 82 (16.4) 1997 41.2 2.23 (1.10-4.52)
Secondary 2012 (17.8) 70 (14.0) 2083 33.7 1.81 (0.90-3.64)
Higher 934 (8.3) 18 (3.6) 952 18.9 Reference
Urdu 908 (8.0) 36 (7.2) 944 37.7 Reference
Punjabi 4143 (36.7) 158 (31.9) 4301 36.8 0.98 (0.58-1.63)
Sindhi 1096 (9.7) 63 (12.6) 1159 54.2 1.46 (0.84-2.55)
Pushto 1517 (13.4) 42 (8.4) 1559 26.7 0.7 (0.4-1.23)
Baluchi 536 (4.7) 49 (9.8) 585 83.5 2.33 (1.32-4.09)
Barauhi 331 (2.9) 19 (3.7) 349 53.0 1.43 (0.87-2.36)
Siraiki 1879 (16.6) 89 (18.0) 1968 45.3 1.21 (0.68-2.17)
Others 886 (7.8) 42 (8.4) 928 44.8 1.2 (0.69-2.09)
Place of residence:
Urban 3316 (29.3) 101(20.2) 3417 29.6 Reference
Rural 7984 (70.7) 400 (79.8) 8384 47.7 1.72 (1.28-2.31)
Respondent's occupation:
No work 8391 (74.5) 332 (66.2) 8723 38.1 Reference
Manual work 2878 (25.5) 169 (33.8) 3047 55.6 1.49 (1.13-1.96)
Health care access:
Getting medical help for self: getting money needed for treatment:
Big problem 3759 (33.3) 205 (41.0) 3964 51.8 1.39 (1.05-1.83) 1.67 (1.06-2.63)
Not a big problem 7521 (66.7) 296 (59.0) 7817 37.9 Reference Reference
Getting medical help for self: not wanting to go alone:
Big problem 6677 (59.2) 335 (66.8) 7011 47.8 1.39 (1.04-1.84)
Not a big problem 4604 (40.8) 167 (33.2) 4770 34.9 Reference
Child and maternal nutrition:
Birth weight:‡
>2500g 1060 (9.5) 15 (3.0) 1075 14.0 Reference Reference
<2500g 340 (3.0) 9 (1.9) 350 26.6 1.9 (0.68-6.74) 2.44 (0.25-23.68)
Not weighed 8301 (74.0) 419 (84.7) 8719 48.0 3.6 (1.77-7.14) 4.39 (1.00-19.33)
Don't remember 1510 (13.5) 51 (10.4) 1561 32.9 2.4 (1.09-5.31) 2.17 (0.42-11.35)
Body mass index of mother:
≤ 18.5 569 (14.2) 46 (24.5) 615 74.7 1.68 (1.05-2.69) 1.61 (1.00-2.58)
18.5-24.9 (ref) 2155 (53.7) 104 (55.2) 2259 45.8 Reference Reference
25.0–29.9 829 (20.7) 27 (14.5) 856 31.8 0.68 (0.32-1.48) 0.74 (0.35-1.57)
≥30.0 458 (11.4) 11 (5.8) 469 23.2 0.50 (0.22-1.12) 0.65 (0.28-1.52)
Maternal factors and family planning:
Wanted last child:
Wanted no more 1063 (9.4) 50 (10.1) 1113 44.9 Reference Reference
Wanted then 8830 (78.4) 417 (84.1) 9246 45.1 1.00 (0.64-1.57) 0.78 (0.37-1.66)
Wanted later 1376 (12.2) 29 (5.9) 1405 20.7 0.45 (0.23-0.89) 0.17 (0.05-0.59)
Total pregnancy outcomes:
1-2 3073 (27.2) 101 (20.2) 3174 31.9 Reference
3-4 3683 (32.6) 158 (31.5) 3841 41.1 1.30 (0.85-1.98)
>5 4544 (40.2) 242 (48.3) 4786 50.6 1.62 (1.14-2.29)
Current use by method type:
Modern method 3126 (27.7) 98 (19.6) 3225 30.4 Reference
No method 6978 (61.8) 371 (74.1) 7350 50.5 1.70 (1.22-2.36)
Traditional method 1195 (10.6) 32 (6.4) 1227 26.0 0.86 (0.46-1.63)


†Adjusted for: Getting medical help for self: getting money needed for treatment, birth weight, respondent’s BMI and desire for last child.

‡Birth weight: 2500g is classified as normal, <2500g low birth weight.

The final adjusted multivariate model for the early neonatal analysis was explained mainly by variables related to mothers facing problems in financial access to receiving treatment during pregnancy and birth (aOR=1.67, 95% CI=1.06-2.63), babies not weighed at birth (aOR=4.39, 95% CI=1.00-19.33) and malnourished mothers with a BMI <18.5 (aOR=1.61, 95% CI=1.00-2.58). Mothers who wanted their last child later than when the child was born compared to mothers who wanted no more children were at a lower risk of early neonatal mortality (aOR=0.17, 95% CI=0.05-0.59). Variables such as antenatal care or place of birth did not show any statistically significant association with any of the two outcomes in our univariate analysis.


We identified that maternal empowerment and health care access related factors were strong predictors of both stillbirth and early neonatal mortality in Pakistan. Our multivariate analysis identified two important and direct predictors of women’s empowerment with the both stillbirth and early neonatal mortality. Mothers whose family elders decided their healthcare were twice more likely to have had a stillbirth and mothers facing ‘big’ problems in financial access to receiving pregnancy care were 1.67 times more likely to have experienced an early neonatal mortality.

Women’s empowerment is a multifaceted concept and has both important cultural and individual versus population level differences. Using the 2011-2012 Pakistan DHS data we had access to some variables that would capture women’s individual empowerment. In a study from Pakistan, economic stability, social acceptability, educational achievement, and family harmony was defined as women’s empowerment and certainly the variables that we used in our analysis aligned with this concept. 15 Mothers’ lack of decision-making ability and financial access to health care and therefore, her lack of empowerment during pregnancy care showed a strong association with the two outcomes of perinatal mortality in our study. Maternal empowerment has been shown to be related to a lack of polio vaccination for children in Pakistani children. 16 In the Pakistani culture, cultural beliefs and practices, gender discrimination and lack of women’s autonomy are important factors determining their health seeking behaviour for themselves and their children. Women in poor and disadvantaged communities are at increased risk of diminished autonomy and therefore lack access to essential health care for themselves and their children, especially around pregnancy and birth. Decisions about health care utilisation are often taken by the household elders, usually the males, rendering these women disempowered and exposing them to higher risks of complications leading to worse outcomes during pregnancy and birth. 17 Previous studies have highlighted the importance of integrating health services and engagement with communities and thereby empowering the community groups, for instance, to improve the quality of healthcare services offered to women and children to reduce neonatal mortality. 18 The health system bottlenecks related to governance, financing and service delivery and lack of engagement with local communities to improve their access to healthcare is related with poor maternal and child health outcomes. 19 In similar settings, these bottlenecks have been successfully overcome by packaging prevention interventions through elimination of financial and cultural barriers to healthcare access for vulnerable and culturally disengaged communities. 20 Health system interventions for perinatal mortality prevention need to be implemented keeping the cultural context in perspective so that vulnerable women are effectively linked with quality health services at all stages of pregnancy, labour and birth. 21 Additionally, improving women’s education and hence empowerment is essential to improve existing health seeking practices often shown to be associated with child morbidity and mortality in Pakistan. 22

Other important variables we identified as surrogate indicators of women’s empowerment included; doing manual labour, consanguinity and family planning practices. Women doing manual work compared with no work had higher odds of perinatal mortality in our study. Since 70% of the sample comprised of rural women, the most common manual work that they performed was related to agriculture. We found that such work was associated with 1.55 times higher odds of stillbirths in women. Whether these women continue to work while pregnant and what they do if a complication requires them to rest warrants further research. Nevertheless previous research clearly shows that working in agriculture increases pregnant women’s exposure to heavy lifting and to pesticides which is associated with adverse outcomes of low birth weight, small for gestational age babies and other complications during pregnancy. 23-24 Another surrogate of women’s empowerment was being related to her husband which increased the risk of stillbirth by 1.45-fold. Apart from the biological aspect of consanguineous marriages and their relation with adverse child health outcomes 25, this highlights that women in rural communities lack autonomy and authority for making decisions to choose life partners and are often married against their will at very young ages mostly to their paternal or maternal cousins. 26 Similarly women’s contraceptive empowerment is closely linked with their planning, and decision making about access to and use of modern contraceptives giving long-term protection from pregnancy. 27 In rural Pakistani culture it is the husbands or the elderly members in families who decide about the use of contraception and the number of children. 17 Stillbirth was associated with wanting child ‘then’ compared with wanting no more in the univariate analysis and wanting to have a pregnancy may not mean planning a pregnancy. It may mean that women allow the pregnancy to happen rather than plan for it and most likely it is due to the lack of any intention to use contraception.

Living in rural areas, being socioeconomically disadvantaged and having no or low education showed statistically significant associations with both perinatal outcomes and are additional proxy indicators of women’s lack of empowerment to access health care during pregnancy and birth. In the final stillbirth model, women’s ethnicity was statistically significant with stillbirth and belonging to a Baluchi ethnicity carried almost a twofold risk of stillbirth. Baluchi is spoken by most of the population in Baluchistan where maternal and child health, as well as other socioeconomic indicators are historically poorest compared to the rest of the country because of poor development, conflict and health system factors. 28

Mothers with low birth weight newborns or those not weighed at birth and malnourished mothers had very high odds of early neonatal mortality. These results reassert the association of maternal and fetal malnutrition with perinatal mortality. 29 The finding that early neonatal mortality risk was higher among newborns not weighted at the time of birth could be explained by home birth without a skilled birth attendant at the time of birth. Our final model for early neonatal mortality emphasises the significance of maternal nutritional status and its association with perinatal mortality. 29 This also demonstrates that the progress made towards improving maternal nutrition in Pakistan is dismal, and programs especially national maternal and child nutrition programs, must reassess their strategies to reduce the burden of malnutrition in mothers and children.

Strengths and weaknesses

Women’s empowerment gives an innovative perspective to the understanding of complex sociocultural and biological factors of perinatal mortality in a high perinatal burden context of Pakistan. Analysis of the large nationally representative sample and adjustment for cluster sampling effect and confounding factors were strengths of the study. We used data only from the last five years to minimise recall bias. We removed cases of multiple pregnancies from our analysis because multiple pregnancies are known biological risks of perinatal mortality. However, this study has some limitations. Underestimation of stillbirths and early neonatal deaths could be a possibility in our study because of diverse reasons for instance, some geographic areas were omitted from data collection in the DHS survey because of conflict and these areas could possibly have worse perinatal outcomes. There may be a possibility of misclassification bias, whereby a stillbirth was classified as an early neonatal death.


Patriarchal decision-making is highly entrenched in the cultural norms of Pakistani communities especially in rural areas where women are not supported to make their own and their children’s health care decisions, which affects women’s and children’s health and survival during and after birth. An understanding of the local culture and women’s empowerment in accessing health care around pregnancy and birth and even during recuperation from a previous pregnancy, is important for identification of risk factors of perinatal mortality. Our analysis also highlights the need and importance of the relevant local data on perinatal mortality outcomes including identification and estimation of individual and complex risk factors during the critical perinatal period. Usefulness of these data cannot be underestimated in the development and implementation of maternal and child survival programs and strategies.


In conclusion, this study found that the mothers who considered it a “big problem” to decide about their treatment and could not financially access the health care during pregnancy and birth had higher likelihood of experiencing perinatal mortality. Women’s empowerment needs to be further studied to ascertain the mechanisms by which it leads to higher risk of perinatal deaths in developing countries. Women’s empowerment also needs to be incorporated within the perinatal mortality prevention implementation strategies. More information in DHS surveys about access to and quality of care, especially advanced care, during maternal and newborn complications would improve our understanding of health service related factors of perinatal deaths.

Correspondence to:
Jamil Ahmed
PhD Candidate Medicine
School of Public Health
Sydney Medical School
The University of Sydney
Room 121B, Edward Ford Building (A27)
Sydney, NSW
2006 Australia
Assistant Professor
Department of Family and Community Medicine
College of Medicine and Medical Sciences
Arabian Gulf University
Salmaniya Medical Complex, Manama, Bahrain
[email protected]