Evidence map›Paper›PMID 39243098›Full record

ArticleBMC health services research2024

Wealth disparities in maternal health service utilization among women of reproductive age in Ethiopia: findings from the mini-EDHS 2019.

Asnakew Molla Mekonen, Natnael Kebede, Atrsaw Dessie, Setegn Mihret, Yawkal Tsega

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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12citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Asnakew Molla MekonenDepartment of Health Systems Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia. amdessie2007@gmail.com.
Natnael KebedeDepartment of Health Promotion and Health Communication, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Atrsaw DessieDepartment of Midwifery, School of Nursing, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Setegn MihretDepartment of Pediatrics and Child Health, School of Nursing, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Yawkal TsegaDepartment of Health Systems Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthiopia has made strides in reducing maternal mortality, but significant discrepancies in maternal health service utilization exist across socioeconomic levels. According to studies, women from higher-income households are far more likely to use essential services such as antenatal care, delivery care, and postnatal care than poorer women. This wealth disparity is a primary contributor to persistently high maternal mortality, particularly among poor populations. The study's goal was to assess wealth disparities in maternal health service uptake and identify contributing factors. METHODS AND MATERIALS: We used the Ethiopian Mini Demographic Health Survey (EMDHS), conducted in 2019 on women aged 15-49 living in selected census areas, with a weighted sample size of 3,909. The Erreygers Concentration Index (ECI) was used to measure wealth inequalities in maternal health care, and the ECI decomposition was used to identify factors contributing to inequality in maternal health services.

resultsMaternal health service utilization was pro-rich among women in Ethiopia. The prevalence of antenatal care service (ANC), delivery, and postnatal care (PNC) service utilization showed a pro-rich distribution among Ethiopian women, with ECI = 0.115 (95% CI: 0.091-0.137), ECI = 0.223 (95% CI: 0.191-0.276), and ECI = 0.121 (95% CI: 0.041-0.200), respectively. The ECI indices were decomposed to examine the contributing factors to disparities in maternal service utilization in Ethiopia. Mother's current age, household family size, region, birth order, and parity were contributors to maternal health service utilization.

conclusionThe ANC service, delivery service and PNC service utilization showed a pro-rich distribution among Ethiopian women. Mother's current age, household family size, region, birth order, and parity are important contributors of maternal health service inequality. To improve access and usage among low-income women, policymakers can develop programs including increasing the number of free or subsidized services and providing transportation.

Indexed as

Healthcare DisparitiesMaternal Health ServicesPatient Acceptance of Health CareSocioeconomic FactorsAdolescentAdultEthiopiaFemaleHumansMiddle AgedPregnancyPrenatal CareYoung AdultAntenatal care serviceDelivery serviceEthiopiaMaternal health service utilizationPostnatal care serviceWealth status

Identifiers

PMID39243098
PMCPMC11378606

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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.