Evidence map›Paper›PMID 35127058›Full record

ArticleHealth systems (Basingstoke, England)2022

Socioeconomic differentials in the burden of paying for healthcare in India: a disaggregated analysis.

Ramna Thakur, Shivendra Sangar

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Ramna ThakurSchool of Humanities and Social Sciences, Indian Institute of Technology Mandi, Mandi, India.
Shivendra SangarSchool of Humanities and Social Sciences, Indian Institute of Technology Mandi, Mandi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By using nationally representative consumption expenditure surveys (CES) conducted by the National Sample Survey Organisation (NSSO) in 1999-2000, 2004-05 and 2011-12, this paper has analysed the socioeconomic differentials in the burden of paying for healthcare in India. The study found that in all waves of data, the concentration of population reporting OOP health expenditure has shown a shift towards poor population, while the concentration of overshoot expenditure is still constant among the rich which is more pronounced in the rural areas of the country. Furthermore, Muslims and Sikhs among different religions, Scheduled Casts among social categories, self-employed and casual/agricultural labour among household types and rural areas among sectors are more likely to incur OOP health expenditure as compared to their counterparts. This study argues for the universal health insurance coverage to protect households from the significant burden of expenditure on critical healthcare.

Indexed as

catastropheexpenditurehealthcareHousehold

Identifiers

PMID35127058
PMCPMC8812753

What OpenQuestion holds

Textmetadata
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.