Evidence map›Paper›PMID 25376485›Full record

ArticleInternational journal for equity in health2014

The prevalence and determinants of catastrophic health expenditures attributable to non-communicable diseases in low- and middle-income countries: a methodological commentary.

Yevgeniy Goryakin, Marc Suhrcke

Abstract read
In one paragraph

Article in International journal for equity in health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

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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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Determinants of catastrophic healthcare expenditure in Peru.International journal of health economics and management · 2018
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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.

Yevgeniy GoryakinNorwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK. y.goryakin@uea.ac.uk.
Marc SuhrckeNorwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK. m.suhrcke@uea.ac.uk.

Funding

British Heart FoundationCancer Research UKMedical Research CouncilWellcome Trust
6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs), while traditionally considered a "rich world"-problem, have been spreading fast in low and middle income countries and by now account for a large share of mortality and ill-health in these countries, too. In addition to the disease burden, NCDs may also impose a substantial economic cost. One way in which NCDs might impact people's economic well-being may be via the out-of-pocket expenditures required to cover treatment and other costs associated with suffering from an NCD.

methodsIn this commentary, we identify and discuss the methodological challenges related to cross-country comparison of-out-of-pocket and catastrophic out-of-pocket health care expenditures, attributable to NCDs, focussing on low and middle income countries.

resultsThere is significant evidence of substantial cost burden placed by NCDs on patients living in low and middle income countries, with most of it being heavily concentrated among low socioeconomic status groups. However, a large variation in definition of COOPE between studies prevents cross-country comparison. In addition, as most studies tend to be observational, causal inferences are often not possible. This is further complicated by the cross-sectional nature of studies, small sample sizes, and/or limited duration of follow-up of patients. Most evidence for certain conditions (e.g., cancer) tends to be collected in high-income countries only.

conclusionsThe definitions for COOPEs should be standardized as much as possible, to enable comparison of COOPE prevalence between countries. Prospective study design using larger samples representative of broader sections of local population, collecting better data on both direct and indirect treatment costs is also needed.

Indexed as

Developing CountriesIncomeChronic DiseaseCost of IllnessCross-Sectional StudiesFinancing, PersonalHealth ExpendituresHumansPrevalenceProspective StudiesSocioeconomic Factors

Identifiers

PMID25376485
PMCPMC4228103

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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.