Evidence map›Paper›PMID 31179039›Full record

ArticleBMJ global health2019

Socioeconomic inequality in life expectancy in India.

Miqdad Asaria, Sumit Mazumdar, Samik Chowdhury, Papiya Mazumdar, Abhiroop Mukhopadhyay, Indrani Gupta

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
15.4field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  9. Excess mortality in elderly hip fracture patients: An Indian experience.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2023
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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 at 5 institutions in 2 countries.

Miqdad AsariaLSE Health, London School of Economics and Political Science, London, UK.ORCID 0000-0002-3538-4417
Sumit MazumdarCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-9278-4396
Samik ChowdhuryAmbedkar University Delhi, Delhi, India.
Papiya MazumdarDepartment of Health Sciences, University of York, York, UK.
Abhiroop MukhopadhyayEconomics and Planning Unit, Indian Statistical Institute Delhi Centre, New Delhi, India.
Indrani GuptaHealth Policy Research Unit, Institute of Economic Growth, Delhi, India.
University of York · GBAmbedkar University Delhi · INIndian Statistical Institute · INInstitute of Economic Growth · INLondon School of Economics and Political Science · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionConcern for health inequalities is an important driver of health policy in India; however, much of the empirical evidence regarding health inequalities in the country is piecemeal focusing only on specific diseases or on access to particular treatments. This study estimates inequalities in health across the whole life course for the entire Indian population. These estimates are used to calculate the socioeconomic disparities in life expectancy at birth in the population.

methodsPopulation mortality data from the Indian Sample Registration System were combined with data on mortality rates by wealth quintile from the National Family Health Survey to calculate wealth quintile specific mortality rates. Results were calculated separately for males and females as well as for urban and rural populations. Life tables were constructed for each subpopulation and used to calculate distributions of life expectancy at birth by wealth quintile. Absolute gap and relative gap indices of inequality were used to quantify the health disparity in terms of life expectancy at birth between the richest and poorest fifths of households.

resultsLife expectancy at birth was 65.1 years for the poorest fifth of households in India as compared with 72.7 years for the richest fifth of households. This constituted an absolute gap of 7.6 years and a relative gap of 11.7 %. Women had both higher life expectancy at birth and narrower wealth-related disparities in life expectancy than men. Life expectancy at birth was higher across the wealth distribution in urban households as compared with rural households with inequalities in life expectancy widest for men living in urban areas and narrowest for women living in urban areas.

conclusionAs India progresses towards Universal Health Coverage, the baseline social distributions of health estimated in this study will allow policy makers to target and monitor the health equity impacts of health policies introduced.

Indexed as

health inequalityIndialife expectancysocioeconomic inequality

Identifiers

PMID31179039
PMCPMC6528758
OpenAlexW2944241246

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.