Evidence map›Paper›PMID 29977529›Full record

ArticleJournal of global health2018

Examining horizontal inequity and social determinants of inequality in facility delivery services in three South Asian countries.

Tanvir M Huda, Alison Hayes, Michael J Dibley

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  14. Focus on disability-free life expectancy: implications for health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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  18. Wealth Inequality as a Predictor of Subjective Health, Happiness and Life Satisfaction among Nepalese Women.International journal of environmental research and public health · 2018
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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

3 authors at 2 institutions in 3 countries.

Tanvir M HudaSydney School of Public Health, University of Sydney, Sydney, Australia.
Alison HayesSydney School of Public Health, University of Sydney, Sydney, Australia.
Michael J DibleySydney School of Public Health, University of Sydney, Sydney, Australia.
University of Sydney · AUAssociation of Maternal and Child Health Programs · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe utilization of maternal health care services has increased in many developing countries, but persistent wealth-related inequalities in use of maternal services remained an important public health issue. The paper examined the horizontal inequities and identified the key social determinants that can potentially explain such wealth-related inequalities in use of facility delivery services.

methodsThe countries studied are Bangladesh, Pakistan and Nepal. We used horizontal inequity index to measure the horizontal inequity and decomposition of concentration index method to assess the contribution of different social determinants towards the wealth-related inequality. We have used household and women data from demographic and health surveys of Bangladesh (BDHS 2014), Pakistan (PDHS 2012-13) and Nepal (NDHS 2010-11).

resultsAll three countries showed pro-rich inequality in use of facility delivery services (Observed Concentration Index: Bangladesh = 0.235; Pakistan = 0.141; Nepal = 0.263). The study showed if the utilization were solely based on need factors there would have been little disparity between the rich and the poor (Need expected Concentration Index: Bangladesh = 0.004; Pakistan = 0.004; Nepal = 0.008). The use of facility delivery remained pro-rich in all three countries after taking the need factors into account (Horizontal inequity Index: Bangladesh = 0.231; Pakistan = 0.137; Nepal = 0.254). The decomposition analysis revealed that facility delivery is driven mostly by the social determinants of health rather than the individual health risk. Household socioeconomic condition, parental education, place of residence and parity emerged as the most important factors.

conclusionsOur study reiterates the importance of addressing social determinants of health in tackling wealth-related inequalities in use of facility delivery services. Health policy makers should acknowledge the importance of social determinants in determining individual health-seeking behaviour and accordingly set their strategies to improve access to facility delivery.

Indexed as

Healthcare DisparitiesSocial Determinants of HealthAdolescentAdultBangladeshDelivery, ObstetricFemaleHealth Care SurveysHumansMiddle AgedNepalPakistanPregnancySocioeconomic FactorsYoung Adult

Identifiers

PMID29977529
PMCPMC6008508
OpenAlexW2808365149

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.