Evidence map›Paper›PMID 28100226›Full record

ArticleInternational journal for equity in health2017

Multidimensional poverty and catastrophic health spending in the mountainous regions of Myanmar, Nepal and India.

Sanjay K Mohanty, Nand Kishor Agrawal, Bidhubhusan Mahapatra, Dhrupad Choudhury, Sabarnee Tuladhar, E Valdemar Holmgren

Abstract readComparative Study
In one paragraph

Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  16. Determinants of catastrophic healthcare expenditure in Peru.International journal of health economics and management · 2018
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  19. Measuring the Effect ofIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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.

Sanjay K MohantyDepartment of Fertility Studies, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, 400088, India. sanjayiips@yahoo.co.in.
Nand Kishor AgrawalInternational Centre for Integrated Mountain Development, Kathmandu, Nepal.
Bidhubhusan MahapatraPopulation Council, New Delhi, India.
Dhrupad ChoudhuryInternational Centre for Integrated Mountain Development, Kathmandu, Nepal.
Sabarnee TuladharInternational Centre for Integrated Mountain Development, Kathmandu, Nepal.
E Valdemar HolmgrenInternational Centre for Integrated Mountain Development, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEconomic burden to households due to out-of-pocket expenditure (OOPE) is large in many Asian countries. Though studies suggest increasing household poverty due to high OOPE in developing countries, studies on association of multidimensional poverty and household health spending is limited. This paper tests the hypothesis that the multidimensionally poor are more likely to incur catastrophic health spending cutting across countries. DATA AND

methodsData from the Poverty and Vulnerability Assessment (PVA) Survey carried out by the International Center for Integrated Mountain Development (ICIMOD) has been used in the analyses. The PVA survey was a comprehensive household survey that covered the mountainous regions of India, Nepal and Myanmar. A total of 2647 households from India, 2310 households in Nepal and 4290 households in Myanmar covered under the PVA survey. Poverty is measured in a multidimensional framework by including the dimensions of education, income and energy, water and sanitation using the Alkire and Foster method. Health shock is measured using the frequency of illness, family sickness and death of any family member in a reference period of one year. Catastrophic health expenditure is defined as 40% above the household's capacity to pay.

resultsResults suggest that about three-fifths of the population in Myanmar, two-fifths of the population in Nepal and one-third of the population in India are multidimensionally poor. About 47% of the multidimensionally poor in India had incurred catastrophic health spending compared to 35% of the multidimensionally non-poor and the pattern was similar in both Nepal and Myanmar. The odds of incurring catastrophic health spending was 56% more among the multidimensionally poor than among the multidimensionally non-poor [95% CI: 1.35-1.76]. While health shocks to households are consistently significant predictors of catastrophic health spending cutting across country of residence, the educational attainment of the head of the household is not significant.

conclusionThe multidimensionally poor in the poorer regions are more likely to face health shocks and are less likely to afford professional health services. Increasing government spending on health and increasing households' access to health insurance can reduce catastrophic health spending and multidimensional poverty.

Indexed as

Cost of IllnessFinancing, PersonalHealth ExpendituresPovertySocial ClassAdolescentAdultAsiaCatastrophic IllnessChildDeveloping CountriesFamily CharacteristicsFemaleHealth Services AccessibilityHumansIncomeCatastrophic health spendingIndiaMultidimensional povertyMyanmarNepal

Identifiers

PMID28100226
PMCPMC5242009

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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.