↓ Skip to main content

Extension of mandatory health insurance to informal sector workers in Togo

Overview of attention for article published in Health Economics Review, September 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
91 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Extension of mandatory health insurance to informal sector workers in Togo
Published in
Health Economics Review, September 2018
DOI 10.1186/s13561-018-0208-4
Pubmed ID
Authors

Dosse Mawussi Djahini-Afawoubo, Esso-Hanam Atake

Abstract

About 90.4% of Togolese workers operate in the informal sector and account for between 20 and 30% of Togo's Gross Domestic Product. Despite their importance in the Togolese economy, informal sector workers (ISW) do not have a health insurance scheme. This paper aims to estimate the willingness-to-pay (WTP) of ISW in order to have access to Mandatory Health Insurance (MHI), and to analyze the main determinants of WTP. This study used data from the Community-Based Monitoring System (CBMS) project implemented in 2015 by the Partnership for Economic Policy (PEP). It focusses on 4,296 ISW (2,374 in urban areas and 1,922 in rural areas, respectively). The contingent valuation method was used to determine the WTP for the MHI while the Tobit model is used to analyze its determinants. Findings indicate that about 92% of ISW agreed to have access to MHI, like for formal sector workers. Overall, ISW are willing to pay 2,569 FCFA (USD 4.7) per month. ISW in the poorest quintiles are willing to allocate a higher proportion of their income (15%) to the premium than the richest quintiles (2.5%). Generally, women are more interested in MHI than men, although men are willing to pay higher premiums (3,168.9 FCFA or USD 5.8) than women (2,077 FCFA or USD 3.8). Women's lower WTP can be explained by their low levels of education and income, and a lack of employment opportunities compared to men. The gender of the head of the household, the size of the household and the education and income levels are the main determinants of WTP. We conclude that it is possible to extend MHI to ISW as long as their premiums are subsidized. The annual subsidy is estimated at 4.1% of the state current general budget or 96% of the health sector budget. In setting the premium, policy makers should take into account the MHI benefits package, subsidies from the government, and information about the WTP. It is important to emphasize that resource mobilization and management, as well as health services delivery, would be effective only in a context of improved governance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 20%
Student > Ph. D. Student 6 7%
Lecturer 5 5%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 14 15%
Unknown 38 42%
Readers by discipline Count As %
Social Sciences 14 15%
Economics, Econometrics and Finance 10 11%
Medicine and Dentistry 6 7%
Business, Management and Accounting 6 7%
Nursing and Health Professions 4 4%
Other 11 12%
Unknown 40 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 September 2018.
All research outputs
#13,626,495
of 23,103,436 outputs
Outputs from Health Economics Review
#173
of 436 outputs
Outputs of similar age
#173,826
of 341,518 outputs
Outputs of similar age from Health Economics Review
#7
of 15 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 436 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 55% 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 341,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.