Evidence map›Paper›PMID 41688486›Full record

ArticleScientific data2026

The Citizens Survey 2022-23: a household-level dataset on Universal Health Coverage in India.

Anuska Kalita, Siddhesh Zadey, Sudheer Kumar Shukla, Shubhangi Bhadada, Sumit Kane, Dolon Roy, Mukund Kumar Chandan, Jashanjot Singh Mangat, Preeyati Chopra, Sarika Chaturvedi and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Anuska KalitaHarvard University, Cambridge, MA, USA. akalita@hsph.harvard.edu.
Siddhesh ZadeyAssociation for Socially Applicable Research (ASAR), Pune, Maharashtra, India. sidzadey@asarforindia.org.ORCID http://orcid.org/0000-0003-1176-1529
Sudheer Kumar ShuklaHealth Systems Transformation Platform, New Delhi, Delhi, India.ORCID http://orcid.org/0000-0002-4747-6992
Shubhangi BhadadaHarvard University, Cambridge, MA, USA.
Sumit KaneUniversity of Melbourne, Melbourne, Victoria, Australia.
Dolon RoyDevelopment and Research Services, New Delhi, Delhi, India.
Mukund Kumar ChandanDevelopment and Research Services, New Delhi, Delhi, India.
Jashanjot Singh MangatAssociation for Socially Applicable Research (ASAR), Pune, Maharashtra, India.
Preeyati ChopraAssociation for Socially Applicable Research (ASAR), Pune, Maharashtra, India.
Sarika ChaturvediDr. D.Y. Patil Medical College Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Sonia BhalotraUniversity of Warwick, Coventry, UK.
S V SubramanianHarvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2365-4165
Vikram PatelHarvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1066-8584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of Universal Health Coverage (UHC) in India is particularly challenging given the country's vast population and pronounced socioeconomic disparities. Although extensive research addresses specific healthcare areas, contemporary data on citizens' healthcare access, quality, and preferences to inform UHC design are lacking. To bridge this gap, the Lancet Commission on a Citizen-Centred Health System for India conducted a Citizens Survey from November 2022 to April 2023, interviewing respondents in person in 50,000 randomly selected households across 125 districts in 29 Indian states and Union Territories. The survey comprised 141 questions covering healthcare utilization, experiences, costs, satisfaction, delivery preferences, insurance coverage, willingness to pay, health information behaviors, technology use, aspirational health norms, and electoral attitudes towards health. The survey had a high participation rate (98%) and a low non-response rate (9.5%), 70% of households were rural, 56% of respondents were male, 79% were Hindu, and 39% identified as Scheduled Caste or Tribes. The data aim to inform citizen-centric reforms, advancing a UHC responsive to India's diverse population needs.

Indexed as

Universal Health InsuranceFamily CharacteristicsFemaleHumansIndiaMaleSurveys and Questionnaires

Identifiers

PMID41688486
PMCPMC13013603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.