Evidence map›Paper›PMID 41084893›Full record

ArticleGlobal health action2025

Does health insurance coverage improve cardiometabolic risk factor levels? Quasi-experimental evidence from India.

Kavita Singh, Dimple Kondal, Meetushi Jain, Deepa Mohan, Devraj Jindal, Ruby Gupta, Vamadevan S Ajay, Viswanathan Mohan, Rajeev Sadanandan, Anubha Agarwal and 6 more

Abstract read
In one paragraph

Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

16 authors.

Kavita SinghCentre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India.ORCID 0000-0003-4330-666X
Dimple KondalBiostatistics and Data Management, Centre for Chronic Disease Control, New Delhi, India.ORCID 0000-0002-1417-9510
Meetushi JainBiostatistics and Data Management, Centre for Chronic Disease Control, New Delhi, India.ORCID 0009-0001-6723-849X
Deepa MohanDepartment of Epidemiology, Madras Diabetes Research Foundation, Chennai, India.ORCID 0000-0001-6348-1946
Devraj JindalBiostatistics and Data Management, Centre for Chronic Disease Control, New Delhi, India.ORCID 0000-0003-2384-7354
Ruby GuptaBiostatistics and Data Management, Centre for Chronic Disease Control, New Delhi, India.ORCID 0000-0002-8487-6004
Vamadevan S AjayGoa Institute of Management, Sanquelim Campus, Goa, India.ORCID 0000-0002-4102-0505
Viswanathan MohanDepartment of Epidemiology, Madras Diabetes Research Foundation, Chennai, India.ORCID 0000-0001-5038-6210
Rajeev SadanandanHealth Systems Governance, Health System Transformation Platform, New Delhi, India.ORCID 0000-0001-7384-7788
Anubha AgarwalDivision of Cardiology and Global Health Center, and School of Public Health, Washington University, St. Louis, MO, USA.ORCID 0000-0002-7090-5601
Km Venkat NarayanRollins School of Public Health, Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.ORCID 0000-0001-8621-5405
Nikhil TandonDepartment of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA.ORCID 0000-0003-4928-2347
Mark D HuffmanDivision of Cardiology and Global Health Center, and School of Public Health, Washington University, St. Louis, MO, USA.ORCID 0000-0001-7412-2519
Mohammed K AliRollins School of Public Health, Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.ORCID 0000-0001-7266-2503
Dorairaj PrabhakaranBiostatistics and Data Management, Centre for Chronic Disease Control, New Delhi, India.ORCID 0000-0002-3172-834X
Manuela De AllegriHeidelberg Institute of Global Health, Heidelberg University Hospital and Medical Faculty, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-8677-1337

Funding

Developing and testing Collaborative Quality ImProvement initiative (C-QIP) for prevention of cardiovascular disease in IndiaK43TW011164 · FIC · PUBLIC HEALTH FOUNDATION OF INDIA · PI SINGH, KAVITA · 2019 to 2023
$342k
FIC NIH HHS K43 TW011164NHLBI NIH HHS HHSN268200900026C
6 · The paper itself

Abstract

backgroundChronic conditions cause notable health and economic burdens. While health insurance enables access to healthcare, its effects on chronic care outcomes remain under-explored.

objectiveTo examine the association between health insurance coverage and cardiometabolic risk factors among people with chronic conditions in India.

methodsData from the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) and Solan studies, including 2,926 adults with chronic conditions were analyzed using propensity score weighting to evaluate the associations between health insurance and cardiometabolic risk factors (HbA1c, low-density lipoprotein cholesterol [LDLc], and blood pressure [BP]) and self-reported health status (measured using European Quality of Life Visual Analogue Scale [EQ-VAS]). Mediation analysis evaluated healthcare visits as a potential mediator.

resultsAmong 2,926 respondents meeting criteria, mean (SD) age was 54.6 years (11.8), and 1630 (55.7%) were women. Health insurance coverage was low (6.5%) and more prevalent among men, higher-income groups, and rural vs urban residents. Insured participants had lower mean diastolic BP (84.8 vs 86.0 mmHg), mean LDLc (113.3 vs 117.2 mg/dl), mean HbA1c (6.9% vs 7.5%), and higher health status (EQ-VAS: 74.6 vs 69.1) than uninsured participants, respectively (

conclusionHealth insurance coverage was associated with better cardiometabolic risk profiles and health status, largely mediated by increased healthcare utilization. Expanding insurance coverage to include outpatient chronic care services should be prioritized to improve health outcomes in low- and middle-income countries.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesInsurance CoverageInsurance, HealthAdultAgedBlood PressureChronic DiseaseFemaleGlycated HemoglobinHealth StatusHumansIndiaMaleMiddle AgedRisk FactorsGlycated Hemoglobincardiometabolic risk factorsChronic conditionsinsurancepropensity scoreQuality of Care for Chronic Conditionsquasi-experiment

Identifiers

PMID41084893
PMCPMC12523458

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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.