Evidence map›Paper›PMID 31533723›Full record

ArticleInternational journal for equity in health2019

Evolution of catastrophic health expenditure in a high income country: incidence versus inequalities.

Carlota Quintal

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. From catastrophic health expenditures to the cost of unmet needs: New metrics for pharmaceutical access in vulnerable populations.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

1 author at 1 institution in 1 country.

Carlota QuintalFEUC, CeBER, CEISUC, Faculty of Economics, University of Coimbra, Av. Dias da Silva, 165 |, 3004-512, Coimbra, Portugal. qcarlota@fe.uc.pt.ORCID 0000-0002-8306-3431
University of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCatastrophic health expenditure (CHE) is well established as an indicator of financial protection on which there is extensive literature. However, most works analyse mainly low to middle income countries and do not address the different distributional dimensions of CHE. We argue that, besides incidence, the latter are crucial to better grasp the scope and nature of financial protection problems. Our objectives are therefore to analyse the evolution of CHE in a high income country, considering both its incidence and distribution.

methodsData are taken from the last three waves of the Portuguese Household Budget Survey conducted in 2005/2006, 2010/2011 and 2015/2016. To identify CHE, the approach adopted is capacity to pay/normative food spending, at the 40% threshold. To analyse distribution, concentration curves and indices (CI) are used and adjusted odds ratios are calculated.

resultsThe incidence of CHE was 2.57, 1.79 and 0.46%, in 2005, 2010 and 2015, respectively. CHE became highly concentrated among the poorest (the respective CI evolved from - 0.390 in 2005 to - 0.758 in 2015) and among families with elderly people (the absolute CI evolved from 0.520 in 2005 to 0.740 in 2015). Absolute CI in geographical context also increased over time (0.354 in 2015, 0.019 in 2005). Medicines represented by far the largest share of catastrophic payments, although, in this case concentration decreased (the median share of medicines diminished from 93 to 43% over the period analysed). Contrarily, the weight of expenses incurred with consultation fees has been growing (even for General Practitioners, despite the NHS coverage of primary care).

conclusionsThe incidence of CHE and inequality in its distribution might progress in the same direction or not, but most importantly policy makers should pay attention to the distributional dimensions of CHE as these might provide useful insight to target households at risk. Greater concentration of CHE can actually be regarded as an opportunity for policy making, because interventions to tackle CHE become more confined. Monitoring the distribution of payments across services can also contribute to early detection of emerging (and even, unexpected) drivers of catastrophic payments.

Indexed as

Catastrophic IllnessHealth ExpendituresHumansIncidencePortugalSocioeconomic FactorsCatastrophic health expenditureFinancial protectionInequalityPortugal

Identifiers

PMID31533723
PMCPMC6749702
OpenAlexW2974449718

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.