Evidence map›Paper›PMID 37013518›Full record

ArticleBMC health services research2023

Sociodemographic and geographic inequalities in diagnosis and treatment of older adults' chronic conditions in India: a nationally representative population-based study.

Sanjay K Mohanty, Abhilasha, Radhe Shyam Mishra, Ashish Kumar Upadhyay, Owen O'Donnell, Jürgen Maurer

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence of CVD Among Indian Adult Population: Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2025
    Pooled it
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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.

Sanjay K MohantyDepartment of Population and Development, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, India. sanjayiips@yahoo.co.in.
AbhilashaInternational Institute for Population Science, R4D India Project, Mumbai, India.
Radhe Shyam MishraInternational Institute for Population Science, R4D India Project, Mumbai, India.
Ashish Kumar UpadhyayInternational Institute for Population Science, Research Coordinator, R4D India Project, Mumbai, India.
Owen O'DonnellProfessor of Applied Economics, Erasmus School of Economics, Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.
Jürgen MaurerDepartment of Economics, Institute of Health Economics and management, University of Lausanne, Lausanne, Switzerland.

Funding

Swiss National Science Foundation and the Swiss Agency for Development and Cooperation 400640_160374
6 · The paper itself

Abstract

contextExpeditious diagnosis and treatment of chronic conditions are critical to control the burden of non-communicable disease in low- and middle-income countries. We aimed to estimate sociodemographic and geographic inequalities in diagnosis and treatment of chronic conditions among adults aged 45 + in India.

methodsWe used 2017-18 nationally representative data to estimate prevalence of chronic conditions (hypertension, diabetes, lung disease, heart disease, stroke, arthritis, cholesterol, and neurological) reported as diagnosed and percentages of diagnosed conditions that were untreated by sociodemographic characteristics and state. We used concentration indices to measure socioeconomic inequalities in diagnosis and lack of treatment. Fully adjusted inequalities were estimated with multivariable probit and fractional regression models.

findingsAbout 46.1% (95% CI: 44.9 to 47.3) of adults aged 45 + reported a diagnosis of at least one chronic condition and 27.5% (95% CI: 26.2 to 28.7) of the reported conditions were untreated. The percentage untreated was highest for neurological conditions (53.2%; 95% CI: 50.1 to 59.6) and lowest for diabetes (10.1%; 95% CI: 8.4 to 11.5). Age- and sex-adjusted prevalence of any diagnosed condition was highest in the richest quartile (55.3%; 95% CI: 53.3 to 57.3) and lowest in the poorest (37.7%: 95% CI: 36.1 to 39.3). Conditional on reported diagnosis, the percentage of conditions untreated was highest in the poorest quartile (34.4%: 95% CI: 32.3 to 36.5) and lowest in the richest (21.1%: 95% CI: 19.2 to 23.1). Concentration indices confirmed these patterns. Multivariable models showed that the percentage of untreated conditions was 6.0 points higher (95% CI: 3.3 to 8.6) in the poorest quartile than in the richest. Between state variations in the prevalence of diagnosed conditions and their treatment were large.

conclusionsEnsuring more equitable treatment of chronic conditions in India requires improved access for poorer, less educated, and rural older people who often remain untreated even once diagnosed.

Indexed as

Diabetes MellitusHypertensionAgedChronic DiseaseHumansIndiaPrevalenceSocioeconomic FactorsChronic conditionIndiaInequalityLASINon-communicable diseaseTreatment

Identifiers

PMID37013518
PMCPMC10069025

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LicenceCC BY
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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.