Evidence map›Paper›PMID 28166779›Full record

ArticleInternational journal for equity in health2017

Assessing the impoverishing effects, and factors associated with the incidence of catastrophic health care payments in Kenya.

Edwine W Barasa, Thomas Maina, Nirmala Ravishankar

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 5 pooled it
22.0field-weighted citation impact, top 1% 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

94 citing papers in PubMed, 5 syntheses or guidelines pooled it, 179 citations in OpenAlex.

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34 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Edwine W BarasaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, P.O Box 43640-00100, Nairobi, Kenya. edwinebarasa@gmail.com.
Thomas MainaUSAID Health Policy Plus Project, Palladium group, 1331 Pennsylvania Ave NW, Suite 600, Washington, DC, 20004, USA.
Nirmala RavishankarIndependent consultant, Nairobi, Kenya.
African Conservation Centre · KEFutures Group (United States) · USKenya Medical Research Institute · KE

Funding

Wellcome Trust 092654Wellcome Trust 107527
6 · The paper itself

Abstract

backgroundMonitoring the incidence and intensity of catastrophic health expenditure, as well as the impoverishing effects of out of pocket costs to access healthcare, is a key part of benchmarking Kenya's progress towards reducing the financial burden that households experience when accessing healthcare.

methodsThe study relies on data from the nationally-representative Kenya Household Expenditure and Utilization Survey conducted in 2013 (n =33,675). We undertook health equity analysis to estimate the incidence and intensity of catastrophic expenditure. Households were considered to have incurred catastrophic expenditures if their annual out of-pocket health expenditures exceeded 40% of their annual non-food expenditure. We assessed the impoverishing effects of out of pocket payments using the Kenya national poverty line. We distinguished between direct payments for healthcare such as payments for consultation, medicines, medical procedures, and total healthcare expenditure that includes direct healthcare payments and the cost of transportation to and from health facilities. We used logistic regression analysis to explore the factors associated with the incidence of catastrophic expenditures.

resultsWhen only direct payments to healthcare providers were considered, the incidence of catastrophic expenditures was 4.52%. When transport costs are included, the incidence of catastrophic expenditure increased to 6.58%. 453,470 Kenyans are pushed into poverty annually as a result of direct payments for healthcare. When the cost of transport is included, that number increases by more than one third to 619,541. Unemployment of the household head, presence of an elderly person, a person with a chronic ailment, a large household size, lower household social-economic status, and residence in marginalized regions of the country are significantly associated with increased odds of incurring catastrophic expenditures.

conclusionsKenyan policy makers should prioritize extending pre-payment mechanisms to more vulnerable groups, specifically the poor, the elderly, those suffering from chronic ailments and those living in marginalized regions of the country. The range of services covered under these mechanisms should also be extended such that the proportion of direct costs paid to access care is reduced. Policy makers should also prioritize reducing supply side bottlenecks such as availability of healthcare facilities in close proximity to the population, especially in rural and marginalized areas, and improvements in quality of care. For the poor and the vulnerable, initiatives to cover the cost of transport to and from a health facility, such as transport vouchers could also be explored.

Indexed as

Financing, PersonalHealth ExpendituresPovertySocial ClassAdultAgedCatastrophic IllnessChildFamily CharacteristicsFemaleHealth Services AccessibilityHumansKenyaLogistic ModelsMaleMiddle AgedCatastrophic health spendingFinancial risk protectionHousehold health spendingKenyaOut of pocket health spending

Identifiers

PMID28166779
PMCPMC5294805
OpenAlexW2587114702

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.