Factors Related to HIV AIDS Fund Expenditure 2010-2018 (NASA 2019 Data Analysis)
Abstract
The prevalence rate of HIV/AIDS and various achievement targets are still challenges in HIV/AIDS intervention in Indonesia. Indonesia is required to map out the current resources and their allocation in dealing with HIV AIDS. The objective of this study is to know the distribution and the factors that related with the HIV/AIDS expenditure in the year 2010-2018. This study uses a correlation study design derived from the 2019 National AIDS Spending Assesment (NASA) report and other data sources. The results of the study show that the total expenditure on HIV/AIDS programs in 2017 was 143,053,754 USD and decreased to 107,680,959 USD in 2018. Of the total expenditure, about 60% each came from public funding, an increase of 30% over 10 years. There is a strong relationship between HIV expenditure and the variables of reported HIV cases, ARV coverage, GDP growth and health budget. Total domestic expenditure on HIV and the total health budget had the strongest relationship (R=0.885) with a contribution of 78.3% effect on the health budget (p=0.001). The availability of domestic funds is still limited and is dominated by the allocation of treatment. The high level of dependence on international funding especially on prevention means that the architecture of HIV/AIDS funding needs to be reorganized to protect the sustainability of HIV funding.
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3. The World Bank. Classifying Countries by Income. [Report]. Washington, DC: The World Bank; 2019. Available at: https://datatopics.worldbank.org/world-development-indicators/stories/the-classification-of-countries-by-income.html
4. UNAIDS. Guide to Produce National AIDS Spending Assessment (NASA)-May 2009. Geneva-Switzerland: United Nations Programme on HIV/AIDS; 2009.
5. The World Bank. World Bank National Accounts Data, and OECD National Accounts Data File.Washington,DC: The World Bank; 2020.
6. UNAIDS. National Aids Spending Assessment 2006-2018: NASA Country Reports of Indonesia. Geneva-Switzerland: United Nations Programme on HIV/AIDS; 2019.
7. Suthar AB, Nagata JM, Nsanzimana S, Bärnighausen T, Negussie EK, Doherty MC. Performance-Based Financing for Improving HIV/AIDS Service Delivery: a Systematic Review. BMC Health Services Research. 2017;17(6):1-10.
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9. Ávila C, Loncar D, Amico P, Lay P De. Determinants of Government HIV/AIDS Financing : a 10 Year Trend Analysis From 125 Low and Middle-Income Countries. BMC Public Health. 2013;13(673):1-8.
10. UNAIDS. UNAIDS Announces Lower Price Tag on Investments Needed to Fast-Track Ending the AIDS Epidemic. [Press Release]. Geneva-Switzerland: United Nations Programme on HIV/AIDS; 2016. Available at: https://www.unaids.org/en/resources/presscentre/pressreleaseandstatementarchive/2016/april/20160401_PR_fast-track-update
11. Sarkar S, Menser N, McGreevey W. Cost‐Effective Interventions that Focus on Most at Risk Populations. [Draft Working Paper]. Result for Development Institute; 2008.
12. OECD. Fourth High Level Forum on Aid Effectiveness: Busan Partnership for Effective Development Cooperation. Busan, Korea: Organisation for Economic Cooperation and Development; 2011
13. Kemenkes RI. Rencana Aksi Nasional Pengendalian HIV dan AIDS Bidang Kesehatan 2015-2019. Jakarta: Direktorat Jenderal Pencegana dan Pengendalian Penyakiy Kementerian Kesehatan RI. Available at: https://siha.kemkes.go.id/portal/files_upload/RAN_HIV_Health_Sector_Action_Plan_2015_2019_FINAL_070615_.pdf
14. KEMENDAGRI. PERPRES No. 59 Tahun 2017 Tentang Pelaksanaan Pencapaian Tujuan Pembangunan Berkelanjutan dengan Tuhan Yang Maha Esa. Jakarta: Kementerian dalam Negeri Republik Indonesia; 2017.
15. Stuart RM, Grobicki L, Haghparast-Bidgoli, et al. How Should HIV Resources Be Allocated? Lessons Learnt from Applying Optima HIV in 23 Countrie. Journal of the International AIDS Society. 2018;21(4):1-12.
16. Burrows D, Oberth G, Parsons D, McCallum L. Transitions from Donor Funding to Domestic Reliance for HIV Responses: Recommendations for Transitioning Countries. APMGlobal Health, AIDSPAN Independent Observer of the Global Fund; 2016. Available at: https://www.globalfundadvocatesnetwork.org/wpcontent/uploads/2016/04/AidspanAPMG2016TransitionfromDonorFunding.pdf
17. Yang, Xinye. The Relationship Between Economics Factors & HIV-Infected Population Around the World. Available at SSRN: https://ssrn.com/abstract=3562752 or http://dx.doi.org/10.2139/ssrn.3562752.
Authors
Wahyuniar, L., Hamamah, F., Fidiyahfi, D., & Agustine, L. (2021). Factors Related to HIV AIDS Fund Expenditure 2010-2018 (NASA 2019 Data Analysis). Media Kesehatan Masyarakat Indonesia, 17(1), 1-8. https://doi.org/10.30597/mkmi.v17i1.10935
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