Evidence map›Paper›PMID 35836984›Full record

ArticleFrontiers in public health2022

Is State-Wise Healthcare Budget Allocation Consistent With the Disease Burden in India? A Quinquennial Account (2015-2019).

Bhavani Shankara Bagepally, S Sajith Kumar, Akhil Sasidharan

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Bhavani Shankara BagepallyHealth Technology Assessment Resource Centre, Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
S Sajith KumarHealth Technology Assessment Resource Centre, Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Akhil SasidharanHealth Technology Assessment Resource Centre, Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Evidence-based resource allocation may help to achieve immense health gains in resource-limited settings like India. Understanding healthcare expenditure and the corresponding disease burden could provide insights to plan optimal allocation of limited resources. Hence, we aimed to investigate the status and trends of state-wise healthcare budget allocation and the corresponding disease burden. Methods: We retrieved state-wise healthcare budget allocation information in India for the years 2015 to 2019. Corresponding state-wise disability-adjusted-life-year (DALY) estimates from the Global Burden of Disease, injuries, and Risk Factors Study (GBD) was used to measure disease burden. The allocated budget (in rupees) per DALY was calculated for overall, communicable, and non-communicable diseases (NCDs). Descriptive statistics, correlation and graphical representations were used to identify and evaluate the trends and relationships between state-wise health budget allocation and disease burden. Results: The allocated budget per DALY in 2019 was highest for Goa ( 34,260 or US$ 486.66) and lowest for Bihar ( 2,408 or US $ 34.20). Smaller, less populous states had higher budget allocations per DALY than larger states. Health budget allocation had an inverse relationship with infectious diseases and an identical linear relationship with NCDs. Most state-wise health budget allocations, as well as total disease burden, increased over the years except for Assam, Karnataka, and Himachal Pradesh. Also, such trends are not similar for the injuries and NCD disease burden. Discussion: The health budget allocation is variable across states as well as between infectious and NCDs. The current increase in the allocated budget is incongruent with the increasing disease burden. There is a need for rapid expansion of healthcare resource allocation guided by evidence in India.

Indexed as

Communicable DiseasesNoncommunicable DiseasesCost of IllnessDelivery of Health CareGlobal Burden of DiseaseHumansIndiaQuality-Adjusted Life Yearsbudget allocationDALYdisease burdenhealthcareIndia

Identifiers

PMID35836984
PMCPMC9273767

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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.