Evidence map›Paper›PMID 31894509›Full record

ArticleMaternal and child health journal2020

A Scoping Review of Socioeconomic Inequalities in Distributions of Birth Outcomes: Through a Conceptual and Methodological Lens.

Chantel Ramraj, Ariel Pulver, Patricia O'Campo, Marcelo L Urquia, Vincent Hildebrand, Arjumand Siddiqi

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chantel RamrajDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada. chantel.ramraj@utoronto.ca.ORCID http://orcid.org/0000-0003-4956-4205
Ariel PulverDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada.
Patricia O'CampoDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada.
Marcelo L UrquiaDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada.
Vincent HildebrandDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada.
Arjumand SiddiqiDepartment of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building 6th Floor, 155 College Street, Toronto, ON, M5T 3M7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe extant literature has examined social inequalities in high-risk categories of birth weight and gestational age (i.e., low birth weight and preterm birth) with little attention given to their distributional nature. As such, a scoping review was conducted to understand how researchers have conceptualized and analyzed socioeconomic inequalities in entire distributions of these birth outcomes.

methodsBibliographic databases were searched from their inception until August 2016 for articles from five similar, English-speaking, advanced capitalist democracies: Canada, United States, United Kingdom, Australia and New Zealand.

resultsTwenty-one studies were included in the review, all of which provided rationales for examining socioeconomic inequalities in the entire distribution of birth weight. Yet, only three studies examined non-uniform associations of socioeconomic factors across the distribution of birth weight using conditional quantile regression, while the majority focused on mean birth weight using descriptive analysis or linear regression to analyze inequalities. Nevertheless, study results indicated that socioeconomic inequalities exist throughout the distribution of birth weight, extending beyond the high-risk category of low birth weight. DISCUSSION: Although social inequalities in distributions of birth weight have been conceptualized, few studies have analytically engaged with this concept. As such, this review supports further investigation of distributional inequalities in birth outcomes using methodology which allows one to empirically quantify and explain differences in population risk distributions, rather than solely between infants born low birth weight or preterm birth, versus not.

Indexed as

Social ClassAustraliaCanadaFemaleHealthcare DisparitiesHumansInfantInfant, NewbornNew ZealandOutcome Assessment, Health CarePregnancyPregnancy OutcomePremature BirthRisk FactorsUnited KingdomUnited StatesBirth weightEpidemiological methodsMaternal healthSocial inequalitiesSocio-economic

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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.