Evidence map›Paper›PMID 32470020›Full record

ArticlePloS one2020

Application of geographically weighted regression analysis to assess predictors of short birth interval hot spots in Ethiopia.

Desalegn Markos Shifti, Catherine Chojenta, Elizabeth G Holliday, Deborah Loxton

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Worldwide Wellness of Mothers and Babies (WWOMB): program overview and lessons learned from Ethiopia.Archives of public health = Archives belges de sante publique · 2024
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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

4 authors at 2 institutions in 2 countries.

Desalegn Markos ShiftiSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.ORCID 0000-0001-6638-6194
Catherine ChojentaSchool of Medicine and Public Health, Priority Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, New South Wales, Australia.
Elizabeth G HollidaySchool of Medicine and Public Health, Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Newcastle, New South Wales, Australia.
Deborah LoxtonSchool of Medicine and Public Health, Priority Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, New South Wales, Australia.
University of Newcastle Australia · AUSt. Paul's Hospital Millennium Medical College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBirth interval duration is an important and modifiable risk factor for adverse child and maternal health outcomes. Understanding the spatial distribution of short birth interval, an inter-birth interval of less than 33 months, and its predictors are vital to prioritize and facilitate targeted interventions. However, the spatial variation of short birth interval and its underlying factors have not been investigated in Ethiopia.

objectiveThis study aimed to assess the predictors of short birth interval hot spots in Ethiopia.

methodsThe study used data from the 2016 Ethiopia Demographic and Health Survey and included 8,448 women in the analysis. The spatial variation of short birth interval was first examined using hot spot analysis (Local Getis-Ord Gi* statistic). Ordinary least squares regression was used to identify factors explaining the geographic variation of short birth interval. Geographically weighted regression was used to explore the spatial variability of relationships between short birth interval and selected predictors.

resultsStatistically significant hot spots of short birth interval were found in Somali Region, Oromia Region, Southern Nations, Nationalities, and Peoples' Region and some parts of Afar Region. Women with no education or with primary education, having a husband with higher education (above secondary education), and coming from a household with a poorer wealth quintile or middle wealth quintile were predictors of the spatial variation of short birth interval. The predictive strength of these factors varied across the study area. The geographically weighted regression model explained about 64% of the variation in short birth interval occurrence.

conclusionResiding in a geographic area where a high proportion of women had either no education or only primary education, had a husband with higher education, or were from a household in the poorer or middle wealth quintile increased the risk of experiencing short birth interval. Our detailed maps of short birth interval hot spots and its predictors will assist decision makers in implementing precision public health.

Indexed as

Geographic MappingSpatial RegressionBirth IntervalsEthiopiaFemaleHealth SurveysHumansSocioeconomic Factors

Identifiers

PMID32470020
PMCPMC7259714
OpenAlexW3031029279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.