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The financial burden from non-communicable diseases in low- and middle-income countries: a literature review

Overview of attention for article published in Health Research Policy and Systems, August 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
2 policy sources
twitter
23 X users

Citations

dimensions_citation
305 Dimensions

Readers on

mendeley
751 Mendeley
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Title
The financial burden from non-communicable diseases in low- and middle-income countries: a literature review
Published in
Health Research Policy and Systems, August 2013
DOI 10.1186/1478-4505-11-31
Pubmed ID
Authors

Hyacinthe Tchewonpi Kankeu, Priyanka Saksena, Ke Xu, David B Evans

Abstract

Non-communicable diseases (NCDs) were previously considered to only affect high-income countries. However, they now account for a very large burden in terms of both mortality and morbidity in low- and middle-income countries (LMICs), although little is known about the impact these diseases have on households in these countries. In this paper, we present a literature review on the costs imposed by NCDs on households in LMICs. We examine both the costs of obtaining medical care and the costs associated with being unable to work, while discussing the methodological issues of particular studies. The results suggest that NCDs pose a heavy financial burden on many affected households; poor households are the most financially affected when they seek care. Medicines are usually the largest component of costs and the use of originator brand medicines leads to higher than necessary expenses. In particular, in the treatment of diabetes, insulin--when required--represents an important source of spending for patients and their families. These financial costs deter many people suffering from NCDs from seeking the care they need. The limited health insurance coverage for NCDs is reflected in the low proportions of patients claiming reimbursement and the low reimbursement rates in existing insurance schemes. The costs associated with lost income-earning opportunities are also significant for many households. Therefore, NCDs impose a substantial financial burden on many households, including the poor in low-income countries. The financial costs of obtaining care also impose insurmountable barriers to access for some people, which illustrates the urgency of improving financial risk protection in health in LMIC settings and ensuring that NCDs are taken into account in these systems. In this paper, we identify areas where further research is needed to have a better view of the costs incurred by households because of NCDs; namely, the extension of the geographical scope, the inclusion of certain diseases hitherto little studied, the introduction of a time dimension, and more comparisons with acute illnesses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 751 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 <1%
Belgium 2 <1%
India 2 <1%
Cameroon 1 <1%
Ghana 1 <1%
Kenya 1 <1%
Bangladesh 1 <1%
Indonesia 1 <1%
Brazil 1 <1%
Other 2 <1%
Unknown 737 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 164 22%
Researcher 86 11%
Student > Ph. D. Student 82 11%
Student > Bachelor 60 8%
Student > Postgraduate 52 7%
Other 109 15%
Unknown 198 26%
Readers by discipline Count As %
Medicine and Dentistry 197 26%
Social Sciences 79 11%
Nursing and Health Professions 75 10%
Economics, Econometrics and Finance 48 6%
Agricultural and Biological Sciences 29 4%
Other 99 13%
Unknown 224 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 13 December 2022.
All research outputs
#1,160,766
of 25,311,095 outputs
Outputs from Health Research Policy and Systems
#100
of 1,378 outputs
Outputs of similar age
#8,729
of 182,280 outputs
Outputs of similar age from Health Research Policy and Systems
#3
of 14 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 92% 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 182,280 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 95% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.