Evidence map›Paper›PMID 39219770›Full record

ArticleBulletin of the World Health Organization2024

District-level monitoring of universal health coverage, India.

Arnab Mukherji, Megha Rao, Sapna Desai, S V Subramanian, Gagandeep Kang, Vikram Patel

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Annals of global health · 2025
    Article
  6. District-level monitoring of universal health coverage, India.Bulletin of the World Health Organization · 2024
    Article
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.

Arnab MukherjiCentre for Public Policy, Indian Institute of Management, IIM Bangalore, Bengaluru, Karnataka560076, India.
Megha RaoCentre for Health Economics, University of York, York, England.
Sapna DesaiPopulation Council Institute, New Delhi, India.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, United States of America (USA).
Gagandeep KangDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India.
Vikram PatelDepartment of Global Health and Social Medicine, Harvard Medical School, Cambridge, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts. Methods: We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC Findings: The median UHC Conclusion: Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.

Indexed as

Health Services AccessibilityUniversal Health InsuranceHealthcare DisparitiesHumansIndiaSocioeconomic Factors

Identifiers

PMID39219770
PMCPMC11362688

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.