Evidence map›Paper›PMID 30533487›Full record

ArticleSSM - population health2018

The health care burden in rural Burkina Faso: Consequences and implications for insurance design.

Fadima Yaya Bocoum, Michael Grimm, Renate Hartwig

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  8. Disparities in Physical Accessibility among Rural Thais Under Universal Health Coverage.The American journal of tropical medicine and hygiene · 2021
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  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 4 countries.

Fadima Yaya BocoumInstitut de Recherche en Sciences de la Santé (IRSS), Burkina Faso.
Michael GrimmUniversity of Passau, Germany.
Renate HartwigUniversity of Passau, Germany.
Institut de Recherche en Sciences de la Santé · BFIZA - Institute of Labor Economics · DEUniversity of Namur · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper maps the health care burden of households in rural Burkina Faso. More specifically we investigate the financial burden of health shocks and the manner in which households respond. Our data allows us to differentiate the burden of chronic illness and handicap, more frequent and recurring illnesses and episodes of severe illness, accident and mortality. We find that the burden of health shocks and health spending is high, ranging from one third of monthly non-medical consumption for the treatment of common infectious illnesses to almost three times the monthly non-medical spending in case of death of a household member. To cope, households deplete savings, sell livestock or reduce consumption. In case of severe shocks they are also heavily reliant on transfers from outside. Looking at the economic consequences of health shocks we find that illness of whichever type - severe, chronic or more common - reduces household consumption. Furthermore, households which suffered from a severe illness show significantly lower livestock holdings. Many of the health insurance schemes implemented in developing countries are not yet taking note of the burden of severe and chronic illness. However, in light of the universal health insurance coverage objectives of the Sustainable Development Goals (SDGs) it should be considered an area for future expansion.

Indexed as

Burkina FasoCommunity based health insuranceCopingIllnessShocks

Identifiers

PMID30533487
PMCPMC6262766
OpenAlexW2898632875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.