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Assessing the Efficiency of HIV Prevention around the World: Methods of the PANCEA Project

Authors

  • Elliot Marseille,

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    • Address correspondence to Elliot Marseille, Dr. P.H., M.P.P., Principal Research Associate, Institute for Health Policy Studies, University of California, San Francisco, Box 0936, San Francisco CA 94143. Lalit Dandona, Ph.D., is with the Administrative Staff of the College of India. Joseph Saba, M.D., is with Axios International, Dublin. Coline McConnel, M.A., Brandi Rollins, B.A., and James G. Kahn, M.D., M.P.H., are with the University of California, San Francisco. Paul Gaist, Ph.D., M.P.H., is with the Office of AIDS Research, National Institutes of Health, Bethesda, MD. Mattias Lundberg, Ph.D., and Mead Over, Ph.D., are with the World Bank, Washington, DC. Stefano Bertozzi, M.D., Ph.D., is with the Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.

  • Lalit Dandona,

  • Joseph Saba,

  • Coline McConnel,

  • Brandi Rollins,

  • Paul Gaist,

  • Mattias Lundberg,

  • Mead Over,

  • Stefano Bertozzi,

  • James G. Kahn


  • This research was supported by the National Institutes of Health (NIH) Task Order no. 7, contract 282-98-0026, and by the National Institute on Drug Abuse through grant R01 DA15612.

Abstract

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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