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Prevalence and risk factors of stillbirths among pregnant women from twelve high-volume birthing facilities of Karachi, Pakistan: a longitudinal cohort study

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  • 30.12.2025
  • Research
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Abstract

Background

Stillbirth, defined as the death of a fetus at or after 22 weeks of gestation, remains a neglected public health issue, with approximately 2 million stillbirths occurring annually. Pakistan ranks among the top three countries with the highest number of stillbirths, yet progress in reducing stillbirth rates remains slower than regional and global averages. Despite the substantial burden, there is a lack of evidence on the prevalence, geographic variation, and predictors of stillbirths in Pakistan, particularly from marginalized settings.

Methods

We conducted a longitudinal cohort study in 12 selected public and private birthing facilities located in Karachi, Sindh, Pakistan between February 9, 2021, and January 1, 2022. We enrolled pregnant women visiting the selected birthing sites during antenatal care visits and those directly visiting for deliveries. We used the World Health Organization (WHO) standard definition of stillbirth occurring at a gestational age of ≥22 weeks. We analyzed stillbirth rates across birthing sites, geographic location, and gestational age, and used firth logistic regression to identify risk factors for stillbirths.

Results

Of the pregnant women enrolled (n = 21,523), 63.5% (13,668/21,523) with a gestational age ≥ 22 weeks delivered their babies at the study birthing facilities. The overall weighted stillbirth rate was 12.0 per 1,000 births across all sites. The prevalence varied substantially across sites, geographic location, gestational age, and facility type (public or private). Multivariable logistic regression showed a significant association between polio-endemic super high-risk union councils (AHR: 3.53; CI: 1.84–6.75), preterm delivery (AHR: 3.97; CI: 1.42–11.16), unvaccinated for Tetanus Toxoid (TT) vaccine during pregnancy (AHR: 5.29; CI: 2.61–10.74), and having received <8 ANC visits (AHR: 2.40; CI: 1.04–5.53) with stillbirth outcomes.

Conclusion

Our study found significant variation in stillbirth prevalence across birthing facilities and geographic locations, with notably higher stillbirth rates in polio-endemic regions. These findings highlight the need for integrated approaches that combine polio eradication efforts with enhanced maternal healthcare services including maternal immunizations to maximize efficiency and impact. Additionally, efforts are needed to ensure high-quality antenatal care services and efficient management of medical conditions and prematurity during pregnancy.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1186/s12884-025-08288-3.
Danya Arif Siddiqi and Muhammad Zia Muneer contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
WHO
World health organization
SBR
Stillbirth rate
TT
Tetanus toxoid
LMICs
Low- and middle-income countries
PWBR
Pregnant women and birth registry
SHRUCs
Super high-risk union councils
SEIR
Sindh electronic immunization registry
ANC
Antenatal care
ODK
Open data kit
ICD
International classification of diseases
AOR
Adjusted odds ratio

Background

Stillbirths are defined as the death of a fetus at or after 22 weeks of gestation before or during delivery [1]. Despite stillbirths being an important indicator of maternal and child health, the progress achieved in reducing maternal and child mortality has not been paralleled by equivalent advancements in addressing the burden of stillbirths [2]. While the UN Global Strategy for Women’s, Children’s and Adolescents’ Health (2016–2030) and the Every Newborn Action Plan (ENAP) advocate for an end to preventable stillbirths, reducing stillbirths is conspicuously absent as a specific target in the Sustainable Development Goals agenda [3, 4]. This neglect becomes particularly concerning as the burden of stillbirths continues to rise, with approximately 2 million stillborn babies each year, with devastating and far-reaching consequences for families, communities, and health systems [5]. Prevalence of stillbirths is disproportionately higher in low- and middle-income countries (LMICs), where the risk of stillbirth is more than seven times higher than in high-income settings [6]. Over 70% of the global stillbirths occur in Sub-Saharan Africa and South Asia and in 2021, six countries – India, Pakistan, Nigeria, the Democratic Republic of Congo, Ethiopia, and Bangladesh – alone accounted for nearly half of all global stillbirths [5, 7]. With the last standardized global assessment of stillbirth rates conducted in 2019, stillbirths remain underreported or omitted from global data tracking, making it difficult to measure their true burden [2, 5, 7]. If current trends persist, over 16 million additional babies are projected to be stillborn by 2030, with 56 countries likely to miss the ENAP target of reducing stillbirths to 12 or fewer per 1,000 total births [7].
Pakistan is among the 56 countries at risk of missing the ENAP stillbirth target by 2030 [5, 7]. The country also ranks third in the number of stillbirths (> 200,000) and second in stillbirth rates (30.9 per 1000 births) [7]. Pakistan’s progress in reducing rates of stillbirths in the past two decades has been lower (1%) compared to both the regional average (3%) and other low-income countries (1.3%) [7, 8]. Factors contributing to high rates of stillbirths include socioeconomic inequalities, inadequate access to skilled birth attendants and early screening for complications, suboptimal uptake of technological advancements in healthcare and preventable maternal risk factors such as malnutrition, infections, hypertensive disorders, and diabetes [810]. These are compounded by systemic barriers, including under-resourced healthcare systems, weak referral mechanisms, and cultural norms that delay care-seeking behavior [11, 12].
Data on stillbirth prevalence in Pakistan remain fragmented and inconsistent, primarily due to underreporting, the absence of standardized definitions, and infrequent monitoring [8, 12]. The lack of civil and vital registration systems, and comprehensive medical birth and death registries, further complicates the production of reliable and timely stillbirth estimates [2]. Local studies report varying stillbirth rates (6 to 44.4 per 1,000 total births), but these are outdated, limited in scope, typically facility-specific, and fail to capture broader systemic patterns and regional disparities [8, 11, 13, 14]. The impact of geographical disparities, particularly district-level variations and challenges faced by polio-endemic regions, remains underexplored, despite evidence that healthcare access in these areas is often limited. Existing research also often overlooks the need to distinguish stillbirth rates by gestational age, which obscures the differing risk factors and causes of stillbirths at various stages of pregnancy. These gaps in current literature and data systems hinder the identification of key risk factors and the development of effective strategies to reduce stillbirth rates in the country.
We leveraged data from an electronic Pregnant Women and Birth Registry (PWBR) to conduct a facility-based longitudinal cohort research study at selected birthing facilities in Karachi, Pakistan. We estimated the prevalence of stillbirths, analyzed stillbirth rates across different types of birthing facilities, assessed geographic variations, and identified sociodemographic, pregnancy-related, and maternal factors associated with both early and late gestational stillbirths.

Methods

Study site and population

The study was conducted in the city of Karachi in Sindh province, Pakistan. With a population of over 20 million, Karachi is one of the six global megacities and the largest city in Pakistan [15]. Karachi is divided into seven districts comprising 24 towns, subdivided into union councils (UCs – the smallest geographic administrative unit). Eight of the 40 Super High-Risk Union Councils (SHRUCs) in Pakistan are located in Karachi. These UCs are classified as super high risk because of the presence of positive environmental polio cases, making them disease reservoirs with poor overall health outcomes [16]. The SHRUCs, located in four districts of Karachi are home to >1.6 million people with an approximate annual birth cohort of 60,000 live births. Karachi was selected for this study due to its status as the most linguistically and ethnically diverse urban center in Pakistan, with the largest migrant population [17]. The inclusion of SHRUCs was critical to understanding disparities in stillbirth rates, in areas with poor health infrastructure.
We conducted our study in 12 public and private birthing sites located across six of the seven districts of Karachi: four in Karachi East, three in Karachi West, two in Malir, and one each in Kemari, Karachi South, and Korangi districts. Of the 12 study sites, nine were in SHRUCs, and the remaining three were in non-SHRUCs. Purposive sampling was used for all facility selection. We first compiled a list of high-volume birthing facilities and identified those located within SHRUCs. Among facilities located outside of SHRUCs, we selected high-volume tertiary care hospitals that serve Karachi, including the SHRUC regions. Data was collected from February 9, 2021 to January 1, 2022, with varying enrollment dates across study sites. 

Participant recruitment and data collection

We deployed an electronic Pregnant Women and Birth Registry (PWBR) in selected birthing facilities from February 2021 to January 2022 to register all pregnant women and newborn children from that facility into the registry as a routine activity. Female field workers were stationed 24/7 at each birthing facility and worked closely with the facility-based birthing staff to register all pregnant women and newborn children from that facility into the PWBR. The registration process included entering the biodata (name, address, contact number, basic demographic variables) of pregnant women and their newborns and assigning them a QR code as a unique identifier. This QR code served as the primary identifier for linking records across visits. In cases where the QR card was unavailable at follow-up, alternative identifiers such as name, CNIC number, phone number, and address were used to retrieve and update the corresponding record. This registry enrolled all pregnant women and their newborns into a centralized database connected to the Government of Sindh’s Electronic Immunization Registry (SEIR) [18].

Data collection and procedure

Following their registration into the PWBR, a formal consent was taken from pregnant women to participate in a research study, which would involve additional data collection from them and their newborns at enrolment and during their follow-up visits. The data collection tool was developed after a thorough review of literature and adapting questions to fit the local context. A structured questionnaire was developed that collected data on household demographics, medical background of the pregnant women including underlying conditions, healthcare attendance, and use of medications, as well as information more specifically related to their pregnancy, such as frequency of ANC visits and uptake of vaccinations. If the pregnant women were unsure about particular questions (such as expected date of delivery, gestational age, date for upcoming ANC visit), data collectors were instructed to retrieve these details from the doctor or hospital patient records. Stillbirth occurrences were identified by the facility birthing staff in the obstetrics and gynecology ward.
Data was collected by trained female field workers who were supervised by field supervisors who remained in close contact with the birthing facility staff. Data was collected both during the women’s first visit to the facility as well as on subsequent routine visits, where the field workers followed up with enrolled women to record pregnancy-related health conditions and pregnancy outcomes. Responses were recorded using an Open Data Kit (ODK) application, which incorporated built-in validation constraints, skip logics and range checks to minimize entry errors at the point of data capture. Field supervisors and the study manager monitored data collection through daily field reports to track progress and identify any immediate technical or operational issues.

Inclusion and exclusion criteria

All pregnant women presenting to the selected birthing facilities during the study period who provided written informed consent were eligible for registration. No exclusion criteria were applied for participant enrollment.

Data quality measures

To ensure the quality of the questionnaire, the English version was translated into the local language by a team member fluent in the language and with sufficient experience of the local context. Field staff were provided with training on the study objectives, research ethics and the questionnaire. A pilot was done across four birthing facilities to evaluate the content, assess staff comprehension, and identify areas requiring modification. Based on pilot feedback, minor refinements were made to the training content to enhance clarity on key definitions and field procedures. Data quality checks were conducted by the field supervisor and study manager through daily field reports.

Outcome variable and data analysis

The primary outcome variable was stillbirth, defined as a fetal death at ≥22 weeks of gestation as per the WHO/International Classification of Diseases (ICD-11) definition, among mothers of reproductive age [19]. We only included deliveries at ≥22 weeks of reported gestational age. Based on reported gestational age by participants, stillbirths were categorized as extremely preterm (< 28 weeks), very preterm (28–31 weeks), moderate to late preterm (32–36 weeks), at term (37–41 weeks), and post-term (≥ 42 weeks) [20, 21]. The stillbirth rate was defined as the number of stillbirths per 1,000 births among the study participants.
A two-pronged analytical approach was undertaken to address potential bias due to loss to follow-up (LTF), comprising (1) a complete-case (CC) analysis using unweighted Firth logistic regression, and (2) a LTF-adjusted analysis using inverse probability weighting (IPW) [22, 23]. Firth’s penalized likelihood logistic regression was selected for the unweighted CC analysis due to its suitability in addressing small sample sizes and rare binary outcomes as it prevents infinite estimates in models with rare events, making it well-suited for sparse data and low event rates [24].
For the LTF-adjusted analysis, a sensitivity assessment was conducted, and IPW was applied to account for differential follow-up probability. To mitigate the influence of extreme or unstable weights, often driven by unmeasured confounding, weights exceeding the 99th percentile were truncated to the 99th percentile value.
The weighted analysis was performed using Cox proportional hazards regression with the svy package to incorporate IPW. IPW Cox regression is particularly suitable for handling informative censoring and producing unbiased hazard ratio estimates under incomplete follow-ups [25, 26]. A manual stepwise approach was used for variable selection in the final multivariable model. An a priori list of variables was developed based on prior literature, biological plausibility, and their role as potential confounders. Variables with a p-value < 0.20 in univariable analysis were considered for inclusion, and those were retained if statistically significant (p < 0.05) or if they had a meaningful influence on other effect estimates. Model selection was further guided by minimizing the Akaike Information Criterion (AIC). Statistical significance was set at a two-sided p-value of < 0.05.
Multicollinearity among variables was assessed using variance inflation factors (VIFs), all of which were below the commonly accepted threshold of 5, indicating no significant multicollinearity. In addition, a correlation heatplot was examined to visually assess inter-variable relationships. Because model building was conducted manually, VIFs were reassessed at each step of adding or removing variables to ensure stability.
Analysis was conducted using Stata version 17.0. Summary measures, frequencies, and percentages were reported for categorical variables. Where relevant, both unweighted and weighted estimates were presented to reflect the underlying population structure.

Results

Stillbirth prevalence

Between February 9, 2021, to January 1, 2022, 21,523 pregnant women enrolled in the research study. Of these, 63.5% (13,668/21,523) pregnant women with a gestational age of ≥22 weeks delivered their babies at the study birthing facilities during the study period (Fig. 1) to while, 33.5% (7,813/21,523) were lost to follow up. Supplementary Table-1 presents the baseline characteristics of women who were lost to follow-up compared to those who were retained for analysis. We recorded 102 stillbirths and 13,811 live births (including multiple births, e.g., twins or triplets, etc.), resulting in a total weighted stillbirth rate of 12.0 per 1000 births (95 CI%: 7.7–16.3) across the 12 birthing facilities. When observed on a granular level, the weighted stillbirth rate varied widely, ranging from as low as 1.3 to as high as 66.0 per 1,000 births. Higher weighted stillbirth rates were observed in SHRUCs (24.1 per 1,000 births; 95% CI: 11.9–36.3) compared to non-SHRUCs (5.6 per 1,000 births; 95% CI: 4.2–7.0.2.0), and in private facilities (17.9 per 1,000 births; 95% CI: 4.2–31.6) compared to public ones (9.6 per 1,000 births; 95% CI: 7.2–12.0) reflecting substantial disparities across facilities, its type, and location. When analyzed by gestational age, the highest weighted stillbirth rates was observed among extreme preterm births (< 28 weeks) at 429.1 per 1000 births (95% CI: 62.9–795.3), followed by 187.3 (95% CI: 0.0–437.2) among very preterm births (28–31 weeks) (Table 1).
Fig. 1
Flow diagram of participants included in the study
Bild vergrößern
Table 1
Prevalence of stillbirth rates (SBR) per 1000 births by type and location of birthing facilities (February 9, 2021 - January 1, 2022)
 
# of birthing facilities (n = 12)
# of Deliveries (n = 13,668)
# of births (n = 13,913)
# of Live births (n = 13,811)
# of Stillbirths (n = 102)
Unweighted
95% CI
Weighted
95% CI
SBR per 1,000 births
SBR per 1,000 births
Overall
12
13,668
13,913
13,811
102
7.3
5.9–8.7
12.0
7.7–16.3
Birthing facilities a
 Site A
-
41
43
42
1
23.3
0.0–68.3
23.9
0.0–71.5
 Site B
-
80
85
83
2
23.5
0.0–55.8
34.6
0.0–83.8
 Site C
-
41
44
41
3
68.2
0.0–142.7
66.0
0.0–146.5
 Site D
-
4,176
4,305
4,290
15
3.5
1.7–5.2
3.4
1.7–5.2
 Site E
-
368
385
374
11
28.6
11.9–45.2
28.8
11.3–46.2
 Site F
-
92
93
92
1
10.8
0.0–31.7
8.4
0.0–25.1
 Site G
-
231
235
232
3
12.8
0.0–27.1
12.0
0.0–25.6
 Site H
-
65
68
65
3
44.1
0.0–92.9
43.0
0.0–94.6
 Site I
-
20
22
21
1
45.5
0.0–132.5
64.3
0.0–193.8
 Site J
-
1,913
1,958
1,939
19
9.7
5.4–14.0
9.6
5.2–13.9
 Site K
-
3,558
3,637
3,598
39
10.7
7.4–14.1
11.8
8.1–15.4
 Site L
 
2,981
3,038
3,034
4
1.3
0.0-2.6.0
1.3
0.03–2.6
Type of birthing facilities
 Government
5
10,192
10,378
10,293
85
8.2
6.5–9.9
9.6
7.2–12.0
 Private
6
3,476
3,535
3,518
17
4.8
2.5–7.1
17.9
4.2–31.6
Birthing facilities in Super High-Risk Union Councils (SHRUCs) - Characterized by Polio endemic areasb
 SHRUCs
9
2,895
2,933
2,889
44
15.0
10.6–19.4
24.1
11.9–36.3
 Non-SHRUCs
3
10,773
10,980
10,922
58
5.3
3.9–6.6
5.6
4.2–7.0
District of birthing facility
 Karachi Keamari
1
44
44
41
3
68.2
0.0–142.7
66.0
0–146
 Karachi East
4
575
585
570
15
25.6
12.8–38.4
33.0
9.1–60.0
 Karachi West
3
3,873
3,915
3,872
43
11.0
7.7–14.2
12.3
8.2–16.3
 Karachi Malir
2
2,000
2,026
2,004
22
10.9
6.3–15.4
11.6
6.5–16.6
 Karachi South
1
4,191
4,305
4,290
15
3.5
1.7–5.2
3.4
1.7–5.2
 Karachi Korangi
1
2,985
3,038
3,034
4
1.3
0.0–2.6
1.3
0.03–2.6
Gestational age
 Extreme preterm (22–28 weeks)
-
26
27
18
9
333.3
155.5–511.1
429.1
62.9–795.3
 Very preterm (28–31 weeks)
-
130
145
134
11
75.9
32.8–119.0
187.3
0.0–437.2
 Moderate to late preterm (32–36 weeks)
-
2,846
2,934
2,894
40
13.6
9.4–17.8
16.3
10.2–22.4
 Term and post-term (≥ 37 weeks)
-
10,666
10,807
10,765
42
3.9
2.7–5.1
8.0
3.7–12.2
a. Birthing facility names have been redacted due to confidentiality
b. National and Provincial Emergency Operations Centers (NEOC and PEOCs) identified 40 SHRUCs in Pakistan based on the presence of Wild Polio Virus (WPV). Of these 40 SHRUCs, 8 belonged to the 4/7 districts of Karachi division, while others were from the remaining provinces of Pakistan. Of the 12 study birthing facilities, 9 were located in SHRUCs

Sociodemographic, maternal, and newborn characteristics

Table 2 presents the sociodemographic, maternal, and neonatal characteristics associated with unique births (live births and stillbirths), defined as one record per pregnancy, regardless of whether a woman delivered single or multiple newborns. This differs from Table 1, which reports aggregate birth outcomes.
Table 2
Sociodemographic characteristics, reported antenatal care (ANC) practices, and newborn health characteristics for unique births in 12 birthing facilities of Karachi, Sindh (n = 13,668) by birth status (February 9, 2021 - January 1, 2022)
Sociodemographic characteristics
Live Births
(n = 13,566)
Stillbirths
(n = 102)
Total
(n = 13,668)
Median
IQR
 
Median
IQR
 
Median
IQR
 
Unweighted
Unweighted
Weighted
Unweighted
Unweighted
Weighted
Unweighted
Unweighted
Weighted
Woman age at enrollment (in years)
25.4
22.3–30.4
-
25.4
23.3–29.4
-
25.4
22.3–30.4
-
# of household members
6
5.0–9.0
-
6
5.0–10.0
-
6
5.0–9.0
-
# of children < 5 years
2
1.0–2.0
-
1
0.0–2.0
-
2
1.0–2.0
-
# of elderly aged > 65 years
0
0.0–1.0
-
0
0.0–1.0
-
0
0.0–1.0
-
# of children aged 5–18 years
1
0.0–2.0
-
1
0.0–2.0
-
1
0.0–2.0
-
Highest years of education received by household members
9
0.0–10.0
-
6
0.0–10.0
-
9
0.0–10.0
-
Weight of women (Kg) at last visit
65
60.0–70.0
-
65
60.0–70.0
-
65
60.0–70.0
-
 
n
%
 
n
%
 
n
%
 
Districts of birthing facilities
Unweighted
Unweighted
Weighted
Unweighted
Unweighted
Weighted
Unweighted
Unweighted
Weighted
Karachi East
560
4.1
16.9
15
14.7
46.8
575
4.2
17.29
Karachi Keamari
41
0.3
1.0
3
2.9
5.6
44
0.3
1.09
Karachi Korangi
2,981
22
14.3
4
3.9
1.5
2,985
21.8
14.15
Karachi Malir
1,978
14.6
11.6
22
21.6
11.1
2,000
14.6
11.6
Karachi South
4,176
30.8
30.1
15
14.7
8.6
4,191
30.7
29.84
Karachi West
3,830
28.2
26.0
43
42.2
26.4
3,873
28.3
26.04
Type of birthing facility
 Government
10,107
74.5
70.9
85
83.3
56.6
10,192
74.6
70.8
 Private
3,459
25.5
29.1
17
16.7
43.4
3,476
25.4
29.2
 Non-SHRUCs
10,715
78.9
65.3
58
56.9
30.5
10,773
78.8
64.8
 SHRUCs
2,851
20.1
34.7
44
43.1
69.5
2,895
21.2
35.2
Participant ethnicity
Urdu speaking muhajirs [27]
6,762
49.8
41.0
42
41.2
22.9
6,804
49.8
40.8
Sindhi
815
6
5.8
6
5.9
4.9
821
6
5.8
Punjabi
691
5.1
5.3
3
2.9
2.1
694
5.1
5.2
Pathan
3,521
26
33.5
41
40.2
62.9
3,562
26.1
33.9
Balochi
604
4.5
4.4
3
2.9
1.6
607
4.4
4.4
Others
1,173
4.5
10.0
7
2.9
5.6
1,180
4.4
9.9
Participant education (in Years)
 0
4,962
36.6
46.0
53
52
73.8
5,015
36.7
46.4
 1–5
1,507
11.1
10.6
9
8.8
5.2
1,516
11.1
10.6
 6–8
1,678
12.4
10.8
13
12.7
7.9
1,691
12.4
10.7
 9–10
3,452
25.4
21.1
20
19.6
10.0
3,472
25.4
21.0
 ≥11
1,967
14.5
11.5
7
6.9
3.1
1,974
14.4
11.4
Participant current occupation
 Housewife
13,399
98.8
 
102
100
 
13,501
98.8
 
 Employed
123
0.9
 
-
  
123
0.9
 
 Unemployed
44
0.3
 
-
  
44
0.3
 
Monthly Household Income (PKR)
 < 1,000 to 9,999
324
2.4
3.1
6
5.9
5.6
330
2.4
3.1
 10,000 to 19,999
5,024
37
34.2
35
34.3
29.3
5,059
37
34.1
 20,000 to 49,999
7,153
52.7
55.1
55
53.9
60.3
7,208
52.7
55.1
 ≥50,000
1,065
7.9
7.6
6
5.9
4.8
1,071
7.8
7.6
Reported # of ANC visits
 < 8
7.926
61.5
68.8
76
74.5
85.3
8,002
61.6
69.0
 ≥8
4,971
38.5
31.2
26
25.5
14.8
4,997
38.4
31.0
History of any TT vaccine received
 No
4,829
35.6
44.7
48
47.1
70.3
4,877
35.7
45.0
 Yes
8,737
64.4
55.3
54
52.9
29.7
8,791
64.3
29.7
Use of any contraceptives a
 No
12,005
88.5
90.5
87
85.3
91.4
12,092
88.5
90.5
 Yes
1,561
11.5
9.5
15
14.7
8.6
1,576
11.5
9.5
Any pre-existing medical condition before ANC visit b
 No
11,966
88.2
90.3
87
85.3
92.3
12,053
88.2
90.3
 Yes
1,600
11.8
9.7
15
14.7
7.7
1,615
11.8
9.7
Any medical condition during ANC visit c
 No
9,945
73.3
72.8
61
59.8
53.9
10,006
73.2
72.6
 Yes
3,621
26.7
27.2
41
40.2
46.1
3,662
26.8
27.4
Any medications intake in pregnancy d
 No
5,980
44.1
43.2
37
36.3
43.9
6,017
44.0
43.2
 Yes
7,586
55.9
56.8
65
63.7
56.1
7,651
56.0
56.8
Any supplement intake in pregnancy e
 No
1,540
11.4
13.0
10
9.8
5.4
1,550
11.3
12.9
 Yes
12,026
88.6
87.0
92
90.2
94.6
12,118
88.7
87.1
Use of any substances in pregnancy f
 No
12,318
90.8
92.1
95
93.1
96.4
12,413
90.8
92.1
 Yes
1,248
9.2
7.9
7
6.9
3.6
1,255
9.2
7.9
Practicing any precautions in pregnancy g
 No
3,258
24.0
27.3
26
25.5
22.8
3,284
24
27.2
 Yes
10,308
76.0
72.7
76
74.5
77.2
10,384
76
72.8
Postpartum condition h
 No
13,497
99.5
97.9
99
97.1
85.3
13,596
99.5
97.7
 Yes
83
0.6
2.1
5
4.9
14.7
88
0.6
2.3
Body Mass Index (BMI) category i
 Underweight
94
0.7
1.4
1
1
1.6
95
0.7
1.4
 Normal
3,032
22.3
33.9
19
18.6
33.9
3,051
22.3
33.9
 Overweight
3,963
29.2
42.9
30
29.4
46.3
3,993
29.2
42.9
 Obese
2,038
15
21.8
11
10.8
18.5
2,049
15
21.8
Delivery by pregnancy weeks
 Extreme Preterm (22–28 weeks)
17
< 0.1
0.2
9
8.8
5.5
26
0.2
0.2
 Very preterm (28–31 weeks)
119
0.9
0.9
11
10.8
15.3
130
1.0
1.1
 Moderate to late Preterm (32–36 weeks)
2,806
20.7
19.6
40
39.2
26.9
2,846
20.8
19.7
 Term (37–41 weeks)
10,597
78.1
79.1
42
41.2
52.3
10,639
77.8
78.8
 Post-term (> 41 weeks)
27
0.2
0.2
0
-
 
27
0.2
0.2
Teenage Pregnancy (< 20 years)
 No
12,620
93.0
91.9
99
97.1
98.3
12,719
93.1
92.0
 Yes
946
7.0
8.1
3
2.9
1.7
949
6.9
8.0
Newborn delivered by
 Doctor
12,904
95.1
92.9
87
85.3
80.1
12,991
95
92.8
 Midwife/lady health worker/relative others
662
4.9
7.1
15
14.7
19.9
677
5
7.2
Note: Each record represents a unique birth (one per pregnancy). Analyses from this table onward are based on individual-level characteristics and exclude duplicate counts from multiple births (e.g., twins).”
a. Contraceptives include condoms, implants, injections, oral pills, and surgical procedures
b. Pre-existing medical condition before ANC visit includes any one of the key reported conditions anemia, hypertension, obesity, diabetes, chronic heart/liver/kidney diseases among others
c. Medical conditions during ANC visit include any one of the key reported conditions including fatigue, reflux, lower back/neck pain, nausea/vomiting pelvic pain, and anemia among others
d. Medication intake in pregnancy includes the use of any one of the key medications including painkillers, fever medicines, antibiotics, and anti-allergies, among others
e. Supplements intake in pregnancy includes the use of any one of the key supplements including folic acid, iron/vitamin D, and calcium, among others
f. Substance use in pregnancy includes any one of the substances including beetal nuts, prescription drugs for medical/non-medical use, tobacco, and alcohol
g. Practicing any precautions in pregnancy includes any one of the precautions including washing hands more frequently than usual, washing food before eating, avoiding raw food, resting more than usual, and avoiding contact with animals among others
h. Postpartum condition includes any of the conditions including admission to intensive care unit, pelvic floor disorder, postpartum hemorrhage, among others
i. BMI was not available for 4,480 participants
The median maternal age was 25.4 years across both groups, with an interquartile range (IQR) of 22.3–30.4 years for live births and 23.3–29.4 years for stillbirths. The median maternal education level among live births was 9.0 years (IQR: 0.0–10.0), compared to 6.0 years (IQR: 0.0–10.0) among stillbirths. Among the stillbirths, 83.3% occurred at government facilities compared to 16.7% at private facilities. Additionally, 69.5% of the stillbirths occurred in SHRUCs, compared to 30.5% in non-SHRUCs. Not Receiving the TT vaccine was reported in 70.3% of stillbirths, while 29.7% were among those who received the vaccine. Women with stillbirths also had a higher proportion reporting postpartum conditions compared to those with live births (14.7% vs. 2.1%).
The distribution of stillbirths varied across districts (highest in Karachi East: 46.8% vs. lowest in Karachi Korangi: 1.5%) and ethnicities (highest among Urdu speaking muhajirs: 42.2% vs. lowest among Balochi: 2.9%) (Table 2). Over nine in ten stillbirths (91.4%) occurred among women who did not use any contraceptive method, and just over half (52.3%) were preterm births (< 37 weeks gestation).

Factors associated with stillbirths

Supplementary Table 2 shows the results of weighted and unweighted univariable regression models to determine predictors of stillbirths. The weighted univariable regression showed significant variation in stillbirth by district, type of birthing facilities, and location of birthing facilities. The risk of stillbirths was 2.57 times higher if the delivery took place at a government facility compared to a private birthing facility (HR: 2.57; CI: 0.97–6.81, p: 0.058). Similarly, we found a significantly higher risk of stillbirths in the SHRUCs facilities relative to non-SHRUCs (HR: 5.73; CI: 2.63–12.51, p < 0.001). Women having no schooling (HR: 4.27; CI: 1.59–11.46, p: 0.004), and belonging to a PKR 20 to < 50k income group (HR: 4.29; CI: 1.10–16.76 p:0.036) were associated with higher risk of having stillbirths. Maternal and pregnancy-related variables including not receiving TT vaccination (HR: 6.69; CI: 3.03–14.78; p < 0.001), and preterm delivery (HR: 4.52; CI: 1.57–13.04; p = 0.005) also led to a higher risk of stillbirth outcome, relative to the respective reference group.
In the weighted multivariable regression (Table 3), we found the risk of stillbirth was 3.53 times higher among women delivering in facilities located in SHRUCs (AHR: 3.53; CI: 1.84–6.75; p < 0.001), compared to non-SHRUCs birthing facilities. The odds of stillbirth decreased by 30% with each additional year of education of the household (AOR: 0.70; 95% CI: 0.55–0.89; p = 0.003). There was 5.29 times higher risk of having stillbirths among women who did not receive TT vaccination in the last pregnancy (AHR: 5.29; CI: 2.61–10.74; p < 0.001) relative to those who received a TT dose. Moreover, women who received < 8 ANC visits had 2.40 times higher risk of stillbirths (AHR: 2.40; CI: 1.04–5.53; p < 0.040) compared to those who received ≥8 ANC visits. Preterm delivery (< 37 weeks) was also found to be a significant predictor of stillbirth (AHR: 3.97; 95% CI: 1.42–11.16; p = 0.009).
Table 3
Unweighted and weighted multivariable regression analysis for risk factors associated with stillbirths among women delivering at 12 selected birthing facilities in Karachi, Sindh (n = 13,668) (February 9, 2021 - January 1, 2022)
 
Unweighted multivariable regression
Weighted multivariable regression
AOR
P-value
95% CI
 
AHR
P-value
95% CI
Birthing facilities in Super High-Risk Union Councils (SHRUCs) - Characterized by Polio endemic
 No
1
   
1
   
 Yes
2.55
<0.001
1.69
3.83
3.53
<0.001
1.84
6.75
 # of household members
1.1
<0.001
1.05
     
 # of children <5 years
0.51
<0.001
0.40
     
 # of children aged 5–18 years
1.12
0.061
0.99
     
Highest years of education received by household members
    
0.70
0.003
0.55
0.89
Reported # of ANC visits
 >=8
    
1
   
 <8
    
2.40
0.040
1.04
5.53
History of any TT vaccine received
 Yes
    
1
   
 No
1.74
0.008
1.16
 
5.29
<0.001
2.61
10.74
Preterm delivery (<37 weeks)
 No
1
       
 Yes
5.97
<0.001
4.00
8.91
3.97
0.009
1.42
11.16

Discussion

Our study evaluated the prevalence and predictors of stillbirths among 13,668 deliveries across 12 birthing facilities in Karachi, Pakistan, revealing an overall weighted stillbirth rate of 12.0 per 1,000 live births with notable variation across facility types and geographic locations. Nearly 50% of stillbirths occurred in preterm deliveries, with the highest weighted stillbirth rate observed in extreme preterm births (< 28 weeks, 429.1 per 1,000 live births). Key maternal health factors, such as ANC visits and lack of TT vaccination were also identified as significant predictors of stillbirth.
Our estimate of the weighted stillbirth rate of 12.0 per 1,000 births is lower than the reported national average of 30.9 per 1,000 total births [7]. We also found substantial variations in the weighted stillbirth rates based on location and facility characteristics. These findings are in line with global and local evidence from other low- and middle-income countries (LMICs) and Pakistan, which report lower than national level estimates for stillbirth rates and highlight variations across geographic locations and facility types, highlighting significant disparities in stillbirth outcomes [7, 12, 28, 29]. This observed deviation from national estimates may stem from several factors, including different study settings (urban vs. rural), underreporting, and challenges in identification of stillbirths by the hospital and healthcare staff, and exclusion of stillbirths occurring at home or enroute to healthcare facilities [12]. Despite this, neither district nor facility type, both assessed at the district level, emerge as significant predictors of stillbirth in our adjusted models. However, at the UC level, we found significantly higher stillbirths in facilities located in the polio-endemic areas (SHRUCs). Higher stillbirth rate in these areas could be because SHRUCs often face compounded challenges, including low maternal literacy, poor socioeconomic conditions, and limited healthcare access and information [28, 30, 31]. This, coupled by the lack of trust people have in the health system, further exacerbates the disparities in maternal and neonatal outcomes [32].
Our study findings revealed the substantial impact of gestational age on stillbirths, with the highest rate observed among extreme preterm deliveries (< 28 weeks) at 429.1 per 1,000 live births, and the lowest among at term deliveries (≥ 37 weeks) at 8.0 per 1,000 live births. This is consistent with findings from other global studies across multiple settings, where preterm delivery is consistently identified as major risk factors for stillbirths [3336]. A possible explanation is that preterm birth increases the risk of stillbirth, primarily due to respiratory issues from an immature respiratory system, apnea (prolonged breathing pauses), heart problems, poor temperature regulation caused by insufficient body fat and a weakened immune system that makes infections more likely [34]. The high stillbirth rate among extreme preterm births raises important considerations for clinical care, as these deliveries are often associated with significant neonatal morbidity and mortality. It is worth noting that the stillbirth rate among preterm deliveries nationally may still be an underestimate as the current stillbirth reporting practices in Pakistan, (and many other LMICs), exclude stillbirths occurring before 28 weeks of gestation [14, 3740]. Our findings emphasize the need for consistent application of the WHO’s recommended stillbirth definition, which includes stillbirths at any gestational age ≥22 weeks, to ensure more accurate data capture and informed intervention and policy development for timely and high-quality maternal care.
We also found key maternal health related factors which significantly increase the likelihood of stillbirths. Women who had not received TT vaccinations during pregnancy and who had received <8 ANC visits were at higher risk of stillbirth. Literature from other settings has signified the protective effect and safety of maternal immunization during pregnancy for improved birth outcomes and has been recommended by WHO as a key strategy for preventing vaccine-preventable diseases in newborns [14, 3739, 41]. Adequate ANC visits (≥8) have been found to be associated with lower stillbirths across multiple settings [42, 43], highlighting the importance of comprehensive and continuous care across pregnancy. ANC contributes to stillbirth prevention by enabling timely detection and management of complications [44], and promoting institutional deliveries attended by skilled birth providers [45].
Household education was also associated with lower stillbirths in our study underscoring the importance of educated family members in improving maternal health and outcomes. Education contributes to improved health outcomes by enhancing communication within families and with healthcare providers, increasing household income and health-seeking capacity, fostering a greater sense of responsibility, and enabling timely recognition and response to danger signs [45, 46].
Our study had certain limitations. First, it was conducted only in selected birthing facilities in Karachi and focused solely on facility-based births (excluding home births) which limited generalizability. Additionally, the accurate identification of stillbirths among health staff was a challenge that has been documented and reported earlier in Pakistan [12]. Due to these challenges, we were unable to collect detailed data on the classification and nature of stillbirths (intrapartum vs. antepartum), which limits the depth of insights we can draw from our results. Additionally, to compute the stillbirth rates in our study, we relied on actual births within the study sample rather than estimated births for the broader setting due to the lack of reliable data. This limitation may affect the generalizability of our findings. Furthermore, we used the ≥ 22-week threshold to define stillbirths, consistent with the WHO/ICD-11 classification. While this enhances sensitivity and aligns with evolving global standards, it may limit comparability with national statistics and prior studies that use the ≥ 28-week threshold. The number of refusals was not recorded due to high patient volume and integration of registration into routine workflows. Based on field team observations, refusals were minimal. Lastly, although approximately one-third of participants were LTF—likely due to delivering outside of study facilities—we conducted a sensitivity analysis using IPW to adjust for differences in baseline characteristics. While this helps mitigate the risk of attrition bias, we acknowledge the potential for residual confounding due to unmeasured variables.
The findings from this study highlight several key areas where policy interventions could significantly reduce stillbirth rates. First, the higher stillbirth rates observed in SHRUC-based and government-operated facilities suggest a need for targeted investments in these settings to improve healthcare infrastructure, staffing, and quality of care. While substantial efforts have been directed toward polio eradication in SHRUCs, our findings underscore the need for a more integrated approach to health interventions. Focusing solely on polio may inadvertently overlook other pressing maternal and child health challenges, including stillbirths. To address this, we recommend that health policies in polio-endemic areas expand their scope to include comprehensive maternal health services. For example, maternal immunizations, such as tetanus toxoid vaccines, should be prioritized alongside routine polio campaigns to reduce infections that may contribute to adverse pregnancy outcomes. Additionally, ANC services must be enhanced in these areas, with a focus on improving both the quality and accessibility of care, a practice that has proven to be successful across multiple countries that have improved maternal and newborn healthcare over the last three decades [47]. Efforts should include better screening for maternal complications, early detection of risk factors, and timely management of conditions that could lead to stillbirths. Leveraging the existing infrastructure of polio programs, such as community outreach, vaccination campaigns, and healthcare worker networks — can facilitate the delivery of integrated maternal and child health services. Finally, given the high prevalence of preterm births and their association with stillbirths, policies that emphasize early identification of preterm labor and provide access to appropriate care and interventions could help reduce the risk of stillbirth, particularly in high-risk pregnancies. Future research is warranted to measure the prevalence of stillbirths at a wider-scale using real-time longitudinal data from electronic birth registries. Investigating the causal relationships between maternal health factors, immunization, and stillbirths, particularly in diverse settings, would offer valuable insights for targeted interventions.

Conclusion

Our study found a stillbirth rate lower than the national average. However, the aggregate number masks underlying disparities between birthing facilities and geographic locations. Polio-endemic regions, in particular, emerged as hotspots for stillbirths, highlighting the need for targeted and integrated interventions. Strengthening maternal health services, through provision of high-quality antenatal care services including maternal immunization and efficient management of medical conditions during pregnancy remains critical to minimize the risk of stillbirths.

Acknowledgements

We thank Ms. Mehwish Kanwal, Ms. Nida Aslam, Ms. Humdiya Raza, and the Maternal & Child Health program team at IRD for their support. We are grateful to the frontline health workers for their dedication to deliveries, vaccinations, and maintaining the Pregnant Women and Birth Registry. We also thank their supervisors and support staff. We appreciate the support of the birthing facilities’ administrations. Finally, we acknowledge the crucial support of the Department of Health, Government of Sindh.

Declarations

The study was approved by the Institutional Review Board of Interactive Research and Development (IRB-IRD) (study reference number: IRD_IRB_2020_08_006) and was conducted in accordance with the principles of the Declaration of Helsinki. The field workers explained the purpose of this research in detail to participants and informed them of its potential benefits and risks. Field workers also explained that participation is voluntary, and participating women were allowed to refuse to answer any questions. Written informed consent was obtained from all participants. The content of the consent form was pitched in a local language by the field workers to allow informed decision-making at the respondent’s end. Participant privacy and data confidentiality were maintained throughout the study.
Not applicable.

Competing interests

The authors declare no competing interests.
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Titel
Prevalence and risk factors of stillbirths among pregnant women from twelve high-volume birthing facilities of Karachi, Pakistan: a longitudinal cohort study
Verfasst von
Danya Arif Siddiqi
Muhammad Zia Muneer
Sundus Iftikhar
Mubarak Taighoon Shah
Vijay Kumar Dharma
Fatima Miraj
Mariam Mehmood
Irshad Ali Sodhar
Farrukh Raza Malik
Subhash Chandir
Publikationsdatum
30.12.2025
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2026
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-025-08288-3

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Neu im Fachgebiet Gynäkologie und Geburtshilfe

HPV-Impfung auch nach Konisation noch sinnvoll

Mit humanen Papillomviren (HPV) infizieren sich Menschen vor allem in jungen Jahren, und die Impfung wird primär jungen Menschen empfohlen. Dennoch rät eine Gynäkologin dazu, auch bestimmte ältere Patientinnen zu impfen – etwa Frauen nach Konisation.

Arbeitsvertrag für angestellte Ärztinnen und Ärzte: Das gilt bei Fortbildungen, Überstunden und Boni

Immer mehr Ärztinnen und Ärzte arbeiten angestellt in Praxen bzw. MVZ. Was im Arbeitsvertrag geklärt werden kann und sollte und wo Risiken liegen, erklärt Medizin- und Arbeitsrechtlerin Gabriele Leucht.

Breast-Implant-Illness unterscheidet sich je nach Zweck des Silikonimplantats

Frauen mit kosmetischen Silikonbrustimplantaten haben offenbar ein höheres Risiko für eine Reihe von Breast-Implant-Illness-assoziierten Symptomen als diejenigen, die Silikonimplantate aus rekonstruktiven Gründen erhalten. 

Wird die Therapie bei inflammatorischem Brustkrebs voreilig deeskaliert?

Die Prognose beim inflammatorischen Mammakarzinom bleibt ungünstig, wie eine Analyse von US-Registerdaten nahelegt. Ein weiteres Problem ist demnach, dass zunehmend weniger Frauen die leitliniengerechte trimodale Therapie erhalten. 

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Bildnachweise
Frau erhält eine Spritze/© Talia Mdlungu / peopleimages.com / Stock.adobe.com (Symbolbild mit Fotomodell), Narbe an der Brust/© Sergey Novikov / Stock.adobe.com (Symbolbild mit Fotomodell), Inflammatorisches Mammakarzinom/© Springer Medizin Verlag GmbH