National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis

Eric O Ohuma1, Ann-Beth Moller2, Ellen Bradley1

  • 1Maternal, Adolescent, Reproductive and Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.

Lancet (London, England)
|October 7, 2023
PubMed

Insights

Global preterm birth rates remained unchanged between 2010 and 2020, with millions of babies born prematurely each year. Improving data quality in regions like South Asia and Sub-Saharan Africa is crucial for targeted interventions and accountability.

Area of Science:

  • Neonatal Health
  • Global Public Health
  • Epidemiology

Background:

  • Preterm birth is a leading cause of neonatal mortality.
  • It is associated with significant long-term physical, neurodevelopmental, and socioeconomic consequences.
  • Accurate, up-to-date preterm birth rates are essential for global health initiatives.

Purpose of the Study:

  • To update global, regional, and country-specific preterm birth estimates for 2020.
  • To analyze trends in preterm birth rates from 2010 to 2020.
  • To provide novel estimates by gestational age subgroups.

Main Methods:

  • Systematic search of population-based, nationally representative data (2010-2020).
  • Inclusion of 679 data points from 103 countries and areas.
  • Bayesian hierarchical regression for estimating country-level rates, incorporating covariates and bias adjustments.

Main Results:

  • An estimated 13.4 million preterm births occurred globally in 2020 (9.9% of all births).
  • The global annual rate of reduction was minimal (-0.14%) from 2010-2020.
  • Southern Asia and sub-Saharan Africa accounted for 65% of global preterm births in 2020, with significant data quality gaps.

Conclusions:

  • No significant change in global preterm birth rates over the past decade.
  • Substantial missed opportunities exist to improve preterm birth data, particularly in data-scarce regions.
  • Prioritizing programmatic investments and data quality improvements is critical for prevention and care.
Abstract

Related Concept Videos

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
606
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
389
What are Estimates?01:06

What are Estimates?

It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
5.1K