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Porous safety net: catastrophic health expenditure and its determinants among insured households in Togo

Overview of attention for article published in BMC Health Services Research, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
1 X user

Citations

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31 Dimensions

Readers on

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118 Mendeley
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Title
Porous safety net: catastrophic health expenditure and its determinants among insured households in Togo
Published in
BMC Health Services Research, March 2018
DOI 10.1186/s12913-018-2974-4
Pubmed ID
Authors

Esso-Hanam Atake, Djesika D. Amendah

Abstract

In Togo, about half of health care costs are paid at the point of service, which reduces access to health care and exposes households to catastrophic health expenditure (CHE). To address this situation, the Togolese government introduced a National Health Insurance Scheme (NHIS) in 2011. This insurance currently covers only employees and retirees of the State as well as their dependents, although plans for extension exist. This study is the first attempt to examine the extent to which Togo's NHIS protects its members financially against the consequences of ill-health. Data was obtained from a cross-sectional representative households' survey involving 1180 insured households that had reported illness in the household in the 4 weeks preceding the survey or hospitalization in the 12 months preceding the survey. The incidence and intensity of CHE were measured by the catastrophic health payment method. A logistic regression was used to analyse determinants of CHE. The results indicate that the proportion of insured households with CHE varies widely between 3.94% and 75.60%, depending on the method and the threshold used. At the 40% threshold, health care cost represents 60.95% of insured households' total monthly non-food expenditure. This study showed that the socioeconomic status, the type of health facility used, hospitalization and household size were the highest predictors of CHE. Whatever the chosen threshold, care in referral and district hospitals significantly increases the likelihood of CHE. In addition, the proportion of households facing CHE is higher in the lowest income groups. The behaviour of health care providers, poor quality of care and long waiting time were the main factors leading to CHE. A sizable proportion of insured households face CHE, suggesting gaps in the coverage. To limit the impoverishment of insured households with low income, policies for free or heavily subsidized hospital services should be considered. The results call for an equitable health insurance scheme, which is affordable for all insured households.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Researcher 16 14%
Student > Postgraduate 10 8%
Student > Bachelor 7 6%
Student > Ph. D. Student 6 5%
Other 19 16%
Unknown 35 30%
Readers by discipline Count As %
Nursing and Health Professions 22 19%
Medicine and Dentistry 15 13%
Economics, Econometrics and Finance 14 12%
Social Sciences 6 5%
Business, Management and Accounting 4 3%
Other 15 13%
Unknown 42 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2022.
All research outputs
#2,958,241
of 24,400,706 outputs
Outputs from BMC Health Services Research
#1,289
of 8,235 outputs
Outputs of similar age
#60,398
of 336,678 outputs
Outputs of similar age from BMC Health Services Research
#51
of 221 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.