↓ Skip to main content

Coping with the economic burden of Diabetes, TB and co-prevalence: evidence from Bishkek, Kyrgyzstan

Overview of attention for article published in BMC Health Services Research, April 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
148 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
Coping with the economic burden of Diabetes, TB and co-prevalence: evidence from Bishkek, Kyrgyzstan
Published in
BMC Health Services Research, April 2016
DOI 10.1186/s12913-016-1369-7
Pubmed ID
Authors

Matthias Arnold, David Beran, Hassan Haghparast-Bidgoli, Neha Batura, Baktygul Akkazieva, Aida Abdraimova, Jolene Skordis-Worrall

Abstract

The increasing number of patients co-affected with Diabetes and TB may place individuals with low socio-economic status at particular risk of persistent poverty. Kyrgyz health sector reforms aim at reducing this burden, with the provision of essential health services free at the point of use through a State-Guaranteed Benefit Package (SGBP). However, despite a declining trend in out-of-pocket expenditure, there is still a considerable funding gap in the SGBP. Using data from Bishkek, Kyrgyzstan, this study aims to explore how households cope with the economic burden of Diabetes, TB and co-prevalence. This study uses cross-sectional data collected in 2010 from Diabetes and TB patients in Bishkek, Kyrgyzstan. Quantitative questionnaires were administered to 309 individuals capturing information on patients' socioeconomic status and a range of coping strategies. Coarsened exact matching (CEM) is used to generate socio-economically balanced patient groups. Descriptive statistics and logistic regression are used for data analysis. TB patients are much younger than Diabetes and co-affected patients. Old age affects not only the health of the patients, but also the patient's socio-economic context. TB patients are more likely to be employed and to have higher incomes while Diabetes patients are more likely to be retired. Co-affected patients, despite being in the same age group as Diabetes patients, are less likely to receive pensions but often earn income in informal arrangements. Out-of-pocket (OOP) payments are higher for Diabetes care than for TB care. Diabetes patients cope with the economic burden by using social welfare support. TB patients are most often in a position to draw on income or savings. Co-affected patients are less likely to receive social welfare support than Diabetes patients. Catastrophic health spending is more likely in Diabetes and co-affected patients than in TB patients. This study shows that while OOP are moderate for TB affected patients, there are severe consequences for Diabetes affected patients. As a result of the underfunding of the SGBP, Diabetes and co-affected patients are challenged by OOP. Especially those who belong to lower socio-economic groups are challenged in coping with the economic burden.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 20%
Researcher 21 14%
Student > Ph. D. Student 14 9%
Student > Bachelor 11 7%
Student > Postgraduate 7 5%
Other 26 18%
Unknown 40 27%
Readers by discipline Count As %
Medicine and Dentistry 46 31%
Nursing and Health Professions 22 15%
Social Sciences 5 3%
Business, Management and Accounting 5 3%
Economics, Econometrics and Finance 5 3%
Other 21 14%
Unknown 44 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 October 2019.
All research outputs
#7,159,897
of 25,305,422 outputs
Outputs from BMC Health Services Research
#3,458
of 8,602 outputs
Outputs of similar age
#93,569
of 307,813 outputs
Outputs of similar age from BMC Health Services Research
#34
of 84 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,602 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 59% 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 307,813 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 69% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.