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Maternal and Child Health

Aga Khan University

2020

Pregnancy outcomes

Articles 1 - 3 of 3

Full-Text Articles in Medicine and Health Sciences

Why Are The Pakistani Maternal, Fetal And Newborn Outcomes So Poor Compared To Other Low And Middle-Income Countries?, Aleha Aziz, Sarah Saleem, Tracy L. Nolen, Nousheen Akber Pradhan, Elizabeth M. Mcclure, Saleem Jessani, Ana L. Garces, Patricia L. Hibberd, Janet L. Moore, Sameen Siddiqi Dec 2020

Why Are The Pakistani Maternal, Fetal And Newborn Outcomes So Poor Compared To Other Low And Middle-Income Countries?, Aleha Aziz, Sarah Saleem, Tracy L. Nolen, Nousheen Akber Pradhan, Elizabeth M. Mcclure, Saleem Jessani, Ana L. Garces, Patricia L. Hibberd, Janet L. Moore, Sameen Siddiqi

Community Health Sciences

Background: Pakistan has among the poorest pregnancy outcomes worldwide, significantly worse than many other low-resource countries. The reasons for these differences are not clear. In this study, we compared pregnancy outcomes in Pakistan to other low-resource countries and explored factors that might help explain these differences.
Methods: The Global Network (GN) Maternal Newborn Health Registry (MNHR) is a prospective, population-based observational study that includes all pregnant women and their pregnancy outcomes in defined geographic communities in six low-middle income countries (India, Pakistan, Democratic Republic of Congo, Guatemala, Kenya, Zambia). Study staff enroll women in early pregnancy and follow-up soon after …


Association Of Parity With Birthweight And Neonatal Death In Five Sites: The Global Network's Maternal Newborn Health Registry Study, Ana Garces, Wilton Perez, Margo S. Harrison, Kay S. Hwang, Tracy L. Nolen, Robert L. Goldenberg, Archana B. Patel, Patricia L. Hibberd, Adrien Lokangaka, Sarah Saleem Dec 2020

Association Of Parity With Birthweight And Neonatal Death In Five Sites: The Global Network's Maternal Newborn Health Registry Study, Ana Garces, Wilton Perez, Margo S. Harrison, Kay S. Hwang, Tracy L. Nolen, Robert L. Goldenberg, Archana B. Patel, Patricia L. Hibberd, Adrien Lokangaka, Sarah Saleem

Community Health Sciences

Background: Nulliparity has been associated with lower birth weight (BW) and other adverse pregnancy outcomes, with most of the data coming from high-income countries. In this study, we examined birth weight for gestational age z-scores and neonatal (28-day) mortality in a large prospective cohort of women dated by first trimester ultrasound from multiple sites in low and middle-income countries.
Methods: Pregnant women were recruited during the first trimester of pregnancy and followed through 6 weeks postpartum from Maternal Newborn Health Registry (MNHR) sites in the Democratic Republic of Congo (DRC), Guatemala, Belagavi and Nagpur, India, and Pakistan from 2017 and …


The Community-Level Interventions For Pre-Eclampsia (Clip) Cluster Randomised Trials In Mozambique, Pakistan, And India: An Individual Participant-Level Meta-Analysis, Peter Von Dadelszen, Zulfiqar Ahmed Bhutta, Sumedha Sharma, Jeffrey Bone, Joel Singer, Hubert Wong, Mrutyunjaya B. Bellad, Shivaprasad S. Goudar, Tang Lee, Rahat Qureshi, Clip Trials Working Group Aug 2020

The Community-Level Interventions For Pre-Eclampsia (Clip) Cluster Randomised Trials In Mozambique, Pakistan, And India: An Individual Participant-Level Meta-Analysis, Peter Von Dadelszen, Zulfiqar Ahmed Bhutta, Sumedha Sharma, Jeffrey Bone, Joel Singer, Hubert Wong, Mrutyunjaya B. Bellad, Shivaprasad S. Goudar, Tang Lee, Rahat Qureshi, Clip Trials Working Group

Woman and Child Health

Background: To overcome the three delays in triage, transport and treatment that underlie adverse pregnancy outcomes, we aimed to reduce all-cause adverse outcomes with community-level interventions targeting women with pregnancy hypertension in three low-income countries.
Methods: In this individual participant-level meta-analysis, we de-identified and pooled data from the Community-Level Interventions for Pre-eclampsia (CLIP) cluster randomised controlled trials in Mozambique, Pakistan, and India, which were run in 2014-17. Consenting pregnant women, aged 12-49 years, were recruited in their homes. Clusters, defined by local administrative units, were randomly assigned (1:1) to intervention or control groups. The control groups continued local standard of …