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Burden of chronic illness and associated disabilities in Bangladesh: Evidence from the Household Income and Expenditure Survey

Overview of attention for article published in Chronic Diseases and Translational Medicine, June 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Burden of chronic illness and associated disabilities in Bangladesh: Evidence from the Household Income and Expenditure Survey
Published in
Chronic Diseases and Translational Medicine, June 2017
DOI 10.1016/j.cdtm.2017.02.001
Pubmed ID
Authors

Marufa Sultana, Rashidul Alam Mahumud, Abdur Razzaque Sarker

Abstract

The purpose of this study was to investigate the distribution of chronic illness and associated disability, out-of-pocket payment (OOPP), and other related factors using survey data from Bangladesh. This study analyzed Bangladesh Household Income and Expenditure Survey data that include socio-economic and demographic data, such as consumption, expenditures, and assets, along with information regarding chronic illness and disability. Multiple linear regression models were used to identify factors significantly associated with OOPP. Furthermore, a binary Logistic regression model was employed to assess the association of the explanatory variables with disability status. A higher prevalence of chronic illness was found for those with chronic gastritis (18.70%), and 41.92% of the population had at least one side disability. The average OOPP healthcare expenditure for chronic illness was estimated to be US$7.59. Higher OOPP was found among the upper 2 wealth quintiles. Overall OOPP health expenditure was significantly higher among individuals with an associated disability (P < 0.001). The likelihood of having an associated disability was higher among those individuals with a lower education level (OR = 2.36, 95% CI: 1.95-4.06), those who not earning an income (OR = 2.85, 95% CI: 2.53-3.21), those who did not seek care (OR = 1.73, 95% CI: 1.57-1.90), those who sought care from a pharmacy (OR = 8.91, 95% CI: 7.38-10.74), and those in the lowest wealth quintile (OR = 7.21, 95% CI: 6.41-8.12). The high OOPP illustrates the necessity of financial risk protection for the population at low socio-economic status. Therefore, we recommend that the government strengthen the healthcare system with appropriate support directed to the rural and elderly populations.

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The data shown below were collected from the profiles of 4 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 30%
Researcher 9 10%
Student > Postgraduate 8 9%
Student > Bachelor 7 8%
Lecturer 4 5%
Other 8 9%
Unknown 26 30%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Nursing and Health Professions 13 15%
Economics, Econometrics and Finance 8 9%
Social Sciences 7 8%
Agricultural and Biological Sciences 3 3%
Other 11 13%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2017.
All research outputs
#14,393,794
of 25,382,440 outputs
Outputs from Chronic Diseases and Translational Medicine
#57
of 209 outputs
Outputs of similar age
#157,404
of 328,537 outputs
Outputs of similar age from Chronic Diseases and Translational Medicine
#2
of 7 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 209 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 72% 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 328,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.