Key points are not available for this paper at this time.
OBJECTIVES: The goal of this study is: (1) to estimate the current direct out-of-pocket (OOP) and indirect non-communicable diseases (NCD) burden on Indonesian households and (2) to project NCD prevalence and burden in 2020 focusing specifically on hypertension, diabetes, heart problems and stroke. METHODS: This study relies on econometric analyses based on four waves of the Indonesian Family Life Survey (IFLS). RESULTS: In aggregate, of the NCDs studied, heart problems exert the greatest economic burden on households, costing Int1. 56 billion in OOP and indirect burden in 2010. This was followed by hypertension (Int1. 36 billion), diabetes (Int0. 81 billion) and stroke (Int0. 29 billion). The OOP and indirect burden of these conditions is estimated to be Int4. 02 billion. Diabetes and stroke are expected to have the largest proportional increases in burden by 2020; 56. 0% for diabetes and 56. 9% for stroke to total Int1. 27 billion and Int0. 45 billion respectively. The burden of heart problems in 2020 is expected to increase by 34. 4% to total Int2. 09 billion and hypertension burden will increase by 46. 1% to Int1. 99 billion. In 2020, these conditions are expected to impose an economic burden of Int5. 80 billion. CONCLUSION: In conclusion, this study demonstrates the significant burden of 4 primary NCDs on Indonesian households. In addition to the indirect burden, hypertension, diabetes, heart problems and stroke account for 8% of the nation's OOP healthcare expenditure, and due to rising disease prevalence and an aging population, this figure is expected to increase to 12% by 2020 without a significant health intervention.
Building similarity graph...
Analyzing shared references across papers
Loading...
Eric Finkelstein
University of North Carolina at Chapel Hill
Junxing Chay
Duke-NUS Medical School
Shailendra Bajpai
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
PLoS ONE
Duke University
Duke-NUS Medical School
Duke Institute for Health Innovation
Building similarity graph...
Analyzing shared references across papers
Loading...
Finkelstein et al. (Tue,) studied this question.
synapsesocial.com/papers/6a17f0f3cf02a40e68b4515f — DOI: https://doi.org/10.1371/journal.pone.0099572