Evidence map›Paper›PMID 37383553›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Estimating funds required for UHC within Indian States.

Nachiket Mor, Sudheer Kumar Shukla

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

2 authors.

Nachiket MorBanyan Academy of Leadership in Mental Health, India.
Sudheer Kumar ShuklaCentre for the Study of Regional Development, School of Social Sciences, Jawaharlal Nehru University, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Universal Health Coverage (UHC) has been high on national and international agendas since its adoption as one of the Sustainable Development Goals (SDGs). Within India, there is a wide variation in the total amounts per capita spent by each state government (Government Health Expenditure or GHE) on healthcare. Bihar, with a GHE of 556 per capita (per annum), has the lowest state government spending, but there are many states in which governments spend more than four times that amount on a per capita basis. However, despite this, no state offers UHC to its residents. This failure to provide UHC could be because even the highest amounts spent by the state governments are too low for them to offer UHC or because the cost differences between states are very high. It is also possible, however, that a poor design of the government-owned health system and the degree of waste embedded within it could account for this. It is important to understand which of these factors is responsible because it then provides a clue as to what the best path to UHC might be in each state. Methods: One way to do that would be to arrive at one or more broad estimates of the amounts needed to finance UHC and to compare them with actual amounts being spent by the governments in each state. Older research provides two such estimates. In this paper, using secondary data, we add to them using four additional approaches so that we can build greater confidence in the estimation of amounts needed by each state to offer UHC to its residents. We refer to these as Findings: We find that, with the exception of the approach which assumes that the current design of the government health system is optimal and only needs added investment to offer UHC (the Interpretation: These results suggest that several Indian states may have an inherent ability to offer UHC with government financing alone and that a high degree of waste and inefficiency in the manner in which government funds are currently being deployed may well be behind their apparent inability to do so already. Another implication of these results is that several states may also be further away from the goal of offering UHC than an initial analysis of their GHE as a proportion of their Gross State Domestic Product (GSDP), i.e., GHE/GSDP, may suggest. Of particular concern are the states of Bihar, Jharkhand, Madhya Pradesh, and Uttar Pradesh, all of which have GHE/GSDP greater than 1%, but because their absolute levels of GHE are well below 2000, in order to reach UHC, they may need to more than triple their annual health budgets. Funding: The Christian Medical College Vellore supported the second author (Sudheer Kumar Shukla) through a grant from the Infosys Foundation. Neither of these two entities had any role in the study design, data collection, data analysis, interpretation, writing of the manuscript, or the decision to submit it for publication.

Indexed as

FinancingHealthcare costsHealth financeUHC

Identifiers

PMID37383553
PMCPMC10305866

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Registered trials

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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.