Evidence map›Paper›PMID 38523625›Full record

ArticlePublic health in practice (Oxford, England)2024

Hospitalisation expenditure on tuberculosis among tribal populations in India: A repeated cross-sectional analysis of national sample survey data, 2004 to 2018.

Denny John, Jeetendra Yadav, Devdatta Ray, Paramita Bhattacharya, Nirmalya Mukherjee, Rajan Patil, Vivek Varma, Sahadeb Hembram, Moumita Hansda

Open access · goldAbstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Denny JohnFaculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India.
Jeetendra YadavICMR-National Institute of Medical Statistics, New Delhi, India.
Devdatta RayManipal Academy of Higher Education, Manipal, India.
Paramita BhattacharyaCentre for Public Health Research, MANT, Kolkata, India.
Nirmalya MukherjeeCentre for Public Health Research, MANT, Kolkata, India.
Rajan PatilKLE University, Belgaum, India.
Vivek VarmaAssam University, Silchar, India.
Sahadeb HembramMANT, Kolkata, India.
Moumita HansdaMANT, Kolkata, India.
Assam University · INKLE University · INManipal Academy of Higher Education · INM S Ramaiah University of Applied Sciences · INNational Institute of Medical Statistics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India. Methods: Data of three rounds of National Sample Surveys (NSS) 60th (2004-05), 71st (2013-14) and 75th (2017-18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment. Results: Over two-thirds of the TB cases are seen in the economically productive age group (14-59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15-35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure. Conclusions: The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.

Identifiers

PMID38523625
PMCPMC10958113
OpenAlexW4392454043

What OpenQuestion holds

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LicenceCC BY
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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.