Evidence map›Paper›PMID 32736622›Full record

ArticleBMC health services research2020

Uncovering spatial variation in maternal healthcare service use at subnational level in Jimma Zone, Ethiopia.

Jaameeta Kurji, Benoit Talbot, Gebeyehu Bulcha, Kunuz Haji Bedru, Sudhakar Morankar, Lakew Abebe Gebretsadik, Muluemebet Abera Wordofa, Vivian Welch, Ronald Labonte, Manisha A Kulkarni

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

10 authors.

Jaameeta KurjiSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada. jkurj022@uottawa.ca.ORCID http://orcid.org/0000-0001-9181-3266
Benoit TalbotSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada.
Gebeyehu BulchaJimma Zone Health Office, Jimma Zone, Oromia Region, Jimma, Ethiopia.
Kunuz Haji BedruJimma Zone Health Office, Jimma Zone, Oromia Region, Jimma, Ethiopia.
Sudhakar MorankarDepartment of Health, Behaviour & Society, Jimma University, Jimma, Ethiopia.
Lakew Abebe GebretsadikDepartment of Health, Behaviour & Society, Jimma University, Jimma, Ethiopia.
Muluemebet Abera WordofaDepartment of Population & Family Health, Jimma University, Jimma, Ethiopia.
Vivian WelchCentre for Global Health, Bruyere Research Institute, Ottawa, Canada.
Ronald LabonteSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada.
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada.

Funding

Global Affairs Canada 108028-002International Development Research Centre 108028-001
6 · The paper itself

Abstract

backgroundAnalysis of disaggregated national data suggest uneven access to essential maternal healthcare services within countries. This is of concern as it hinders equitable progress in health outcomes. Mounting an effective response requires identification of subnational areas that may be lagging behind. This paper aims to explore spatial variation in maternal healthcare service use at health centre catchment, village and household levels. Spatial correlations of service use with household wealth and women's education levels were also assessed.

methodsUsing survey data from 3758 households enrolled in a cluster randomized trial geographical variation in the use of maternity waiting homes (MWH), antenatal care (ANC), delivery care and postnatal care (PNC) was investigated in three districts in Jimma Zone. Correlations of service use with education and wealth levels were also explored among 24 health centre catchment areas using choropleth maps. Global spatial autocorrelation was assessed using Moran's I. Cluster analyses were performed at village and household levels using Getis Ord Gi* and Kulldorf spatial scan statistics to identify cluster locations.

resultsSignificant global spatial autocorrelation was present in ANC use (Moran's I = 0.15, p value = 0.025), delivery care (Moran's I = 0.17, p value = 0.01) and PNC use (Moran's I = 0.31, p value < 0.01), but not MWH use (Moran's I = -0.005, p value = 0.94) suggesting clustering of villages with similarly high (hot spots) and/or low (cold spots) service use. Hot spots were detected in health centre catchments in Gomma district while Kersa district had cold spots. High poverty or low education catchments generally had low levels of service use, but there were exceptions. At village level, hot and cold spots were detected for ANC, delivery care and PNC use. Household-level analyses revealed a primary cluster of elevated MWH-use not detected previously. Further investigation of spatial heterogeneity is warranted.

conclusionsSub-national variation in maternal healthcare services exists in Jimma Zone. There was relatively higher poverty and lower education in areas where service use cold spots were identified. Re-directing resources to vulnerable sub-groups and locations lagging behind will be necessary to ensure equitable progress in maternal health.

Indexed as

Spatial AnalysisCluster AnalysisDelivery of Health CareEducational StatusEthiopiaFemaleHumansMaternal Health ServicesPovertyPregnancyPrenatal CareSurveys and QuestionnairesClustersEquityEthiopiaMaternal health service useSpatial analysisSub-national data

Identifiers

PMID32736622
PMCPMC7394677

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.