Cost-effectiveness of scaling up voluntary counselling and testing in West-Java, Indonesia.

Abstract

AIM:

to evaluate the costs-effectiveness of scaling up community-based VCT in West-Java.

METHODS:

the Asian epidemic model (AEM) and resource needs model (RNM) were used to calculate incremental costs per HIV infection averted and per disability-adjusted life years saved (DALYs). Locally monitored demographic, epidemiological behavior and cost data were used as model input.

RESULTS:

scaling up community-based VCT in West-Java will reduce the overall population prevalence by 36% in 2030 and costs US$248 per HIV infection averted and US$9.17 per DALY saved. Cost-effectiveness estimation were most sensitive to the impact of VCT on condom use and to the population size of clients of female sex workers (FSWs), but were overall robust. The total costs for scaling up community-based VCT range between US$1.3 and 3.8 million per year and require the number of VCT integrated clinics at public community health centers to increase from 73 in 2010 to 594 in 2030.

CONCLUSION:

scaling up community-based VCT seems both an effective and cost-effective intervention. However, in order to prioritize VCT in HIV/AIDS control in West-Java, issues of budget availability and organizational capacity should be addressed.

• Authors: Noor Tromp, Adiatma Siregar, Barnabas Leuwol, Dindin Komarudin, Andre van der Ven, Reinout van Crevel, Rob Baltussen
• Journal: Acta medica Indonesiana (Acta Med Indones) Vol. 45 Issue 1 Pg. 17-25 (Jan 2013) ISSN: 0125-9326 [Print] Indonesia
• PMID: 23585404 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Capacity Building (economics)
• Community Health Services (economics)
• Condoms (statistics & numerical data)
• Cost-Benefit Analysis
• Counseling (economics)
• Female
• HIV Infections (diagnosis, economics, prevention & control)
• Homosexuality, Male
• Humans
• Indonesia
• Male
• Sex Work
• Substance-Related Disorders (complications)
• Volunteers (statistics & numerical data)