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Poverty, user fees and ability to pay for health care for children with suspected dengue in rural Cambodia

Overview of attention for article published in International Journal for Equity in Health, April 2008
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
1 CiteULike
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Title
Poverty, user fees and ability to pay for health care for children with suspected dengue in rural Cambodia
Published in
International Journal for Equity in Health, April 2008
DOI 10.1186/1475-9276-7-10
Pubmed ID
Authors

Sokrin Khun, Lenore Manderson

Abstract

User fees were introduced in public health facilities in Cambodia in 1997 in order to inject funds into the health system to enhance the quality of services. Because of inadequate health insurance, a social safety net scheme was introduced to ensure that all people were able to attend the health facilities. However, continuing high rates of hospitalization and mortality from dengue fever among infants and children reflect the difficulties that women continue to face in finding sufficient cash in cases of medical emergency, resulting in delays in diagnosis and treatment. In this article, drawing on in-depth interviews conducted with mothers of children infected with dengue in eastern Cambodia, we illustrate the profound economic consequences for households when a child is ill. The direct costs for health care and medical services, and added indirect costs, deterred poor women from presenting with sick children. Those who eventually sought care often had to finance health spending through out-of-pocket payments and loans, or sold property, goods or labour to meet the costs. Costs were often catastrophic, exacerbating the extreme poverty of those least able to afford it.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 2%
Germany 1 <1%
Malaysia 1 <1%
Indonesia 1 <1%
Kenya 1 <1%
Brazil 1 <1%
South Africa 1 <1%
India 1 <1%
United Kingdom 1 <1%
Other 2 2%
Unknown 118 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 27%
Researcher 28 22%
Other 10 8%
Student > Ph. D. Student 8 6%
Student > Doctoral Student 7 5%
Other 21 16%
Unknown 21 16%
Readers by discipline Count As %
Medicine and Dentistry 41 32%
Social Sciences 23 18%
Agricultural and Biological Sciences 14 11%
Nursing and Health Professions 10 8%
Economics, Econometrics and Finance 6 5%
Other 15 12%
Unknown 21 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 10 May 2022.
All research outputs
#1,149,619
of 22,721,584 outputs
Outputs from International Journal for Equity in Health
#153
of 1,889 outputs
Outputs of similar age
#2,457
of 80,897 outputs
Outputs of similar age from International Journal for Equity in Health
#1
of 5 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 91% 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 80,897 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them