OBJECTIVE: To develop data collection methods suitable to obtain data to assess the costs, cost-efficiency, and cost-effectiveness of eight types of HIV prevention programs in five countries. DATA SOURCES/STUDY SETTING: Primary data collection from prevention programs for 2002-2003 and prior years, in Uganda, South Africa, India, Mexico, and Russia. STUDY DESIGN: This study consisted of a retrospective review of HIV prevention programs covering one to several years of data. Key variables include services delivered (outputs), quality indicators, and costs. DATA COLLECTION/EXTRACTION METHODS: Data were collected by trained in-country teams during week-long site visits, by reviewing service and financial records and interviewing program managers and clients. PRINCIPAL FINDINGS: Preliminary data suggest that the unit cost of HIV prevention programs may be both higher and more variable than previous studies suggest. CONCLUSIONS: A mix of standard data collection methods can be successfully implemented across different HIV prevention program types and countries. These methods can provide comprehensive services and cost data, which may carry valuable information for the allocation of HIV prevention resources.
OBJECTIVE: To develop data collection methods suitable to obtain data to assess the costs, cost-efficiency, and cost-effectiveness of eight types of HIV prevention programs in five countries. DATA SOURCES/STUDY SETTING: Primary data collection from prevention programs for 2002-2003 and prior years, in Uganda, South Africa, India, Mexico, and Russia. STUDY DESIGN: This study consisted of a retrospective review of HIV prevention programs covering one to several years of data. Key variables include services delivered (outputs), quality indicators, and costs. DATA COLLECTION/EXTRACTION METHODS: Data were collected by trained in-country teams during week-long site visits, by reviewing service and financial records and interviewing program managers and clients. PRINCIPAL FINDINGS: Preliminary data suggest that the unit cost of HIV prevention programs may be both higher and more variable than previous studies suggest. CONCLUSIONS: A mix of standard data collection methods can be successfully implemented across different HIV prevention program types and countries. These methods can provide comprehensive services and cost data, which may carry valuable information for the allocation of HIV prevention resources.
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