Evidence map›Paper›PMID 41492636›Full record

ArticleCureus2025

Maternal Mortality in Pakistan: Demographic, Temporal, and Contextual Insights From the Three Delays Model.

Noor Ullah Khan, Nida Asif, Muhammad A Miraj, Hamza Khalid, Talha Awan, Maaz Ahmed Khan, Nimra Khalid, Phyu Thet Mon, Alyshba Shafi

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Noor Ullah KhanPublic Health, Health Services Academy, Islamabad, PAK.
Nida AsifPediatric Medicine, Mardan Medical Complex, Mardan, PAK.
Muhammad A MirajInternal Medicine, Pakistan Institute of Medical Sciences, Islamabad, PAK.
Hamza KhalidPublic Health, Health Services Academy, Islamabad, PAK.
Talha AwanOtolaryngology-Head and Neck Surgery, Pakistan Institute of Medical Sciences, Islamabad, PAK.
Maaz Ahmed KhanFamily Medicine, One Health Medical Services, Islamabad, PAK.
Nimra KhalidPhysiology, Shifa Tameer-E-Millat University, Islamabad, PAK.
Phyu Thet MonInternal Medicine, Bahosi Hospital, Yangon, MMR.
Alyshba ShafiMedicine, Peshawar Medical College, Peshawar, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Maternal mortality remains a pressing health concern, especially in low‑ and middle‑income countries. Understanding the demographic, temporal, and contextual factors that lead to these deaths is essential for designing effective interventions. This study aimed to examine maternal mortality through the lens of the three delays model using data from Pakistan. Methods We conducted a retrospective analysis of the Pakistan Maternal Mortality Survey 2018‑2019, drawing on the Pakistan Demographic and Health Survey Verbal Autopsy dataset. Descriptive statistics and stratified analyses were used to profile maternal deaths by demographic characteristics, timing, and place of death. We also quantified delays in deciding to seek care, reaching a facility, and receiving treatment. Results Of the 1,177 maternal deaths analyzed, the mean age was 34 years. Most deaths occurred in health facilities and were classified as direct obstetric causes such as hemorrhage and sepsis. Women experienced an average delay of 3.8 days in deciding to seek care, 3.7 hours in reaching a facility, and 7.6 minutes in receiving treatment. More than half of the deaths occurred within 42 days postpartum. Financial hardship, geographic isolation, and limited resources emerged as prominent reasons for delay. Women who reached a health facility were less likely to die on the first day of admission than those who did not. Conclusions Maternal mortality in Pakistan reflects a web of sociodemographic inequalities and systemic shortcomings. Addressing these deaths requires more than clinical solutions. It calls for policies that improve the timeliness and quality of maternal health services, tackle financial and geographic barriers, and strengthen the healthcare system. Interventions grounded in the three delays framework could help reduce maternal mortality and advance maternal health equity in low‑resource settings.

Indexed as

demographic and health surveymaternal health servicesmaternal mortalitypakistan maternal deathsthree delays model

Identifiers

PMID41492636
PMCPMC12765515

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.