An update on the economic burden of type 2 diabetes mellitus in China

Author(s):  
Chunchun Ding ◽  
Yun Bao ◽  
Bona Bai ◽  
Xuerun Liu ◽  
Bingyin Shi ◽  
...  
2012 ◽  
Vol 15 (4) ◽  
pp. A177 ◽  
Author(s):  
Y. Zheng ◽  
E.Q. Wu ◽  
K. Xie ◽  
B. Zheng ◽  
H.Y. Yang ◽  
...  

2017 ◽  
Vol 61 (4) ◽  
pp. 243 ◽  
Author(s):  
Aniza Ismail ◽  
LenySuzana Suddin ◽  
Saperi Sulong ◽  
Zafar Ahmed ◽  
NorAzmi Kamaruddin ◽  
...  

2019 ◽  
Vol 18 (3) ◽  
pp. 501-507
Author(s):  
Afsana Afroz ◽  
Khurshid Alam ◽  
Mohammed J Alramadan ◽  
Md Nassif Hossain ◽  
Hasina Akhter Chowdhury ◽  
...  

Background: Diabetes is one of the most prevalent non-communicable diseases (NCDs) all over the world and leading cause of death, disability, and economic loss. Diabetes imposes a heavy economic burden on individuals, their families and society as a whole. The aim of this study is to estimate the economic burden of type 2 diabetes mellitus (T2DM) in Bangladesh and to find association between glycemic control and Health Related Quality of Life with cost-of-illness (COI). Methodology: This will be an analytical cross-sectional cost-of-illness study. Within a specific time period participants aged ≥18 years, registered with Bangladesh Diabetic Somiti and having type 2 diabetes for more than one year will be recruited from selected hospitals inside and outside Dhaka to cover all level of health care services. A pre-tested electronic questionnaire will be used for data collection. The questionnaire will include demographic, clinical, behavioral information of the participants and all cost related information related to diabetes management during last one year. Descriptive statistics will include mean (±SD) or median (percentile) or relative frequencies (percentage) depending on the data. Two samples independent t-test or Mann-Whitney U-test, ANOVA or Kruskal-Wallis test and chi-squared tests will be used for univariate analysis. The multivariable regression analysis and bootstrap method will also be employed to analyze the relationship between the total cost of care (dependent variable) and several potential explanatory variables (independent variables). Logistic regression analysis will be performed to assess the factors affecting glycemic control and health related quality of life (HRQoL). The calculated total cost-of-illness will be projected for T2DM in Bangladesh by a mathematical modelling. Result & discussion: The results of the study will be useful as background information to forecast the economic burden of type 2 diabetes mellitus in Bangladesh and will be beneficial to conceptualize health strategies at national level. Furthermore, recognizing the factors of cost-of-illness will help both patients and health care providers to improve the management plan and cost control and hence, to have better quality of life. Evidence about the magnitude of the burden of T2DM is important for public health policymakers who are involved in making health care priorities and allocating scarce resources to facilitate the greatest benefits for type 2 diabetic people in Bangladesh. Bangladesh Journal of Medical Science Vol.18(3) 2019 p.501-507


2009 ◽  
Vol 12 (3) ◽  
pp. A153
Author(s):  
RL Ohsfeldt ◽  
SK Gandhi ◽  
KM Fox ◽  
M Bullano

2014 ◽  
Vol 9 (1) ◽  
pp. 8-13
Author(s):  
MZ Rahman ◽  
MZ Islam ◽  
MJ Alam ◽  
S Sajjad ◽  
R Ara ◽  
...  

Introduction: Diabetes Mellitus (DM) is a major concern for the developed as well as developing countries. It poses with enormous disabilities and economic burden to the victims. The treatment cost of diabetes is increasing day by day. Aim: To ascertain how type 2 diabetes mellitus is incurring economic burden to the patients. Materials and Methods: This descriptive cross sectional study was conducted during the period from January to June 2010 on 110 type 2 diabetes mellitus patients attending Combined Military Hospital, Dhaka. The patients were selected conveniently and data were collected by face to face interview with the help of a semi-structured questionnaire. For estimation of economic burden, both direct and indirect treatment costs were calculated. Results: The study revealed that majority (36.4%) of the patients were in the age group of 46-55 years with the mean age of 53.65 (+10.44) years. Majority (60.0%) of them had lower monthly family income (Tk.5, 000-Tk.10, 000) and 36.4% of them lived in urban area. Most of the patients (90.9%) were under treatment with drug, diet control and physical exercise. Regarding sources of fund for treatment, 31.8% patients used their savings while 27.3% took loan, 20% got help from relatives and the remaining 20.9% got donation and sold wealth. Average treatment cost incurred by the patients was estimated to Tk. 5543.35 (+1273.29). Average direct treatment cost was estimated to Tk.2656.88 (+1367.23) of which average drug cost was Tk.653.36 (+476.36), investigation cost was Tk.596.73 (+375.56), travel cost Tk.530.31 (+795.46), attendant cost Tk.865.87 (+734.22) and consultation fee was Tk.244.48 (+167.22). Average indirect cost was calculated to Tk.3081.27 (+1275.91) which was only due to loss of income due to illness. Conclusion: The study findings will enable the health policy makers and health care providers at different levels to provide need based cost-effective health care services to reduce the economic burden of diabetes mellitus patients. DOI: http://dx.doi.org/10.3329/jafmc.v9i1.18718 Journal of Armed Forces Medical College Bangladesh Vol.9(1) 2013: 8-13


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