Evidence map›Paper›PMID 38953599›Full record

ArticleHealth policy and planning2024

Factors associated with financial risk due to health spending in Argentina.

Juan Marcelo Virdis, María Eugenia Elorza, Fernando Delbianco

Abstract read
In one paragraph

Article in Health policy and planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Juan Marcelo VirdisHealth Organisation, Policy and Economics (HOPE) research group, Centre for Primary Care and Health Services Research (FBMH), University of Manchester, Manchester M3 9PL, UK.ORCID 0000-0001-7118-9259
María Eugenia ElorzaInstituto de Investigaciones Económicas y Sociales del Sur (IIESS), Universidad Nacional del Sur-CONICET, San Andrés 800, Bahía Blanca 8000, Argentina.
Fernando DelbiancoDepartamento de Economía, Universidad Nacional del Sur (UNS), San Andrés 800, Bahía Blanca 8000, Argentina.

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas 179987
6 · The paper itself

Abstract

This article aims to assess the association between household demographic and socioeconomic characteristics and catastrophic health expenditure (CHE) in Argentina during 2017-2018. CHE was estimated as the proportion of household consumption capacity (using both income and total consumption in separate estimations) allocated for Out-of-Pocket (OOP) health expenditure. For assessing the determinants, we estimated a generalized ordered logit model using different intensities of CHE (10%, 15%, 20% and 25%) as the ordinal dependent variable, and socioeconomic, demographic and geographical variables as explanatory factors. We found that having members older than 65 years and with long-term difficulties increased the likelihood of incurring CHE. Additionally, having an economically inactive household head was identified as a factor that increases this probability. However, the research did not yield consistent results regarding the relationship between public and private health insurance and consumption capacity. Our results, along with the robustness checks, suggest that the magnitude of the coefficients for the household head characteristics could be exaggerated in studies that overlook the attributes of other household members. In addition, these results emphasize the significance of accounting for long-term difficulties and indicate that omitting this factor could overestimate the impact of members aged over 65.

Indexed as

Family CharacteristicsHealth ExpendituresSocioeconomic FactorsAdultAgedArgentinaCatastrophic IllnessFemaleFinancing, PersonalHumansIncomeInsurance, HealthMaleMiddle AgedCatastrophic health expendituregeneralized ordered logit modelsocioeconomic characteristics

Identifiers

PMID38953599
PMCPMC11308619

What OpenQuestion holds

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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.