Evidence map›Paper›PMID 33788900›Full record

ArticlePloS one2021

Examining the incidence of catastrophic health expenditures and its determinants using multilevel logistic regression in Malawi.

Atupele N Mulaga, Mphatso S Kamndaya, Salule J Masangwi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
10.0field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Atupele N MulagaFaculty of Applied Sciences, Department of Mathematics and Statistics, University of Malawi, Blantyre, Malawi.ORCID 0000-0002-9172-0366
Mphatso S KamndayaFaculty of Applied Sciences, Department of Mathematics and Statistics, University of Malawi, Blantyre, Malawi.
Salule J MasangwiFaculty of Applied Sciences, Department of Mathematics and Statistics, University of Malawi, Blantyre, Malawi.
University of Malawi · MW

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundDespite a free access to public health services policy in most sub-Saharan African countries, households still contribute to total health expenditures through out-of-pocket expenditures. This reliance on out-of-pocket expenditures places households at a risk of catastrophic health expenditures and impoverishment. This study examined the incidence of catastrophic health expenditures, impoverishing effects of out-of-pocket expenditures on households and factors associated with catastrophic expenditures in Malawi.

methodsWe conducted a secondary analysis of the most recent nationally representative integrated household survey conducted by the National Statistical Office between April 2016 to 2017 in Malawi with a sample size of 12447 households. Catastrophic health expenditures were estimated based on household annual nonfood expenditures and total household annual expenditures. We estimated incidence of catastrophic health expenditures as the proportion of households whose out-of-pocket expenditures exceed 40% threshold level of non-food expenditures and 10% of total annual expenditures. Impoverishing effect of out-of-pocket health expenditures on households was estimated as the difference between poverty head count before and after accounting for household health payments. We used a multilevel binary logistic regression model to assess factors associated with catastrophic health expenditures.

resultsA total of 167 households (1.37%) incurred catastrophic health expenditures. These households on average spend over 52% of household nonfood expenditures on health care. 1.6% of Malawians are impoverished due to out-of-pocket health expenditures. Visiting a religious health facility (AOR = 2.27,95% CI:1.24-4.15), hospitalization (AOR = 6.03,95% CI:4.08-8.90), larger household size (AOR = 1.20,95% CI:1.24-1.34), higher socioeconomic status (AOR = 2.94,95% CI:1.39-6.19), living in central region (AOR = 3.54,95% CI:1.79-6.97) and rural areas (AOR = 5.13,95% CI:2.14-12.29) increased the odds of incurring catastrophic expenditures.

conclusionThe risk of catastrophic health expenditures and impoverishment persists in Malawi. This calls for government to improve the challenges faced by the free public health services and design better prepayment mechanisms to protect more vulnerable groups of the population from the burden of out-of-pocket payments.

Indexed as

Health ExpendituresAdolescentAdultCatastrophic IllnessChildChild, PreschoolFamily CharacteristicsFemaleFinancing, PersonalHospitalizationHumansIncidenceLogistic ModelsMalawiMaleMiddle Aged

Identifiers

PMID33788900
PMCPMC8011740
OpenAlexW3145451057

What OpenQuestion holds

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LicenceCC BY
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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.