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Study protocol for WHO and UNICEF estimates of global, regional, and national preterm birth rates for 2010 to 2019.
De Costa, Ayesha; Moller, Ann-Beth; Blencowe, Hannah; Johansson, Emily White; Hussain-Alkhateeb, Laith; Ohuma, Eric O; Okwaraji, Yemisrach B; Cresswell, Jennifer; Requejo, Jennifer H; Bahl, Rajiv; Oladapo, Olufemi T; Lawn, Joy E; Moran, Allisyn C.
Afiliação
  • De Costa A; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
  • Moller AB; UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research World Health Organization, Geneva, Switzerland.
  • Blencowe H; Centre for Maternal, Adolescent, Reproductive and Child Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Johansson EW; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
  • Hussain-Alkhateeb L; Department of Women and Children's Health, Uppsala University, Uppsala, Sweden.
  • Ohuma EO; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
  • Okwaraji YB; Global Health, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Cresswell J; Centre for Maternal, Adolescent, Reproductive and Child Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Requejo JH; Centre for Maternal, Adolescent, Reproductive and Child Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Bahl R; UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research World Health Organization, Geneva, Switzerland.
  • Oladapo OT; Division of Data, Analysis, Planning and Monitoring, United Nations Children's Fund, New York City, New York, United States of America.
  • Lawn JE; Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
  • Moran AC; UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research World Health Organization, Geneva, Switzerland.
PLoS One ; 16(10): e0258751, 2021.
Article em En | MEDLINE | ID: mdl-34669749
ABSTRACT

BACKGROUND:

Preterm birth is a leading cause of death among children under five years. Previous estimates indicated global preterm birth rate of 10.6% (14.8 million neonates) in 2014. We aim to update preterm birth estimates at global, regional, and national levels for the period 2010 to 2019.

METHODS:

Preterm birth is defined as a live birth occurring before 37 completed gestational weeks, or <259 days since a woman's last menstrual period. National administrative data sources for WHO Member States with facility birth rates of ≥80% in the most recent year for which data is available will be searched. Administrative data identified for these countries will be considered if ≥80% of UN estimated live births include gestational age information to define preterm birth. For countries without eligible administrative data, a systematic review of studies will be conducted. Research studies will be eligible if the reported outcome is derived from an observational or intervention study conducted at national or sub-national level in population- or facility-based settings. Risk of bias assessments will focus on gestational age measurement method and coverage, and inclusion of special subgroups in published estimates. Covariates for inclusion will be selected a priori based on a conceptual framework of plausible associations with preterm birth, data availability, and quality of covariate data across many countries and years. Global, regional and national preterm birth rates will be estimated using a Bayesian multilevel-mixed regression model.

DISCUSSION:

Accurate measurement of preterm birth is challenging in many countries given incomplete or unavailable data from national administrative sources, compounded by limited gestational age assessment during pregnancy to define preterm birth. Up-to-date modelled estimates will be an important resource to measure the global burden of preterm birth and to inform policies and programs especially in settings with a high burden of neonatal mortality. TRIAL REGISTRATION PROSPERO registration CRD42021237861.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prontuários Médicos / Nascimento Prematuro Tipo de estudo: Observational_studies / Prognostic_studies / Systematic_reviews Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prontuários Médicos / Nascimento Prematuro Tipo de estudo: Observational_studies / Prognostic_studies / Systematic_reviews Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2021 Tipo de documento: Article