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A linear programming model for allocating HIV prevention funds with state agencies: a pilot study

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Abstract

Given the initiatives to improve resource allocation decisions for HIV prevention activities, a linear programming model was designed specifically for use by state and local decision-makers. A pilot study using information from the state of Florida was conducted and studied under a series of scenarios depicting the impact of common resource allocation constraints. Improvements over the past allocation strategy in the number of potential infections averted were observed in all scenarios with a maximal improvement of 73%. When allocating limited resources, policymakers must balance efficiency and equity. In this pilot study, the optimal allocation (i.e., most-efficient strategy) would not distribute resources in an equitable manner. Instead, only 12% of at-risk people would receive prevention funds. We find that less efficient strategies, where 58% fewer infections are averted, result in significantly more equitable allocations. This tool serves as a guide for allocating funds for prevention activities.

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References

  1. Ruiz MS, Gable AR, Kaplan EH, Stoto MA, Fineberg H, Trussell J (2001) No time to lose: getting more from HIV prevention, committee on HIV prevention strategies in the United States, Division of Health Promotion and Disease Prevention. National Academy Press, Washington

    Google Scholar 

  2. Academy for Educational Development’s Center for Community-based Health Strategies, HIV Prevention Community Planning (2000) Setting HIV prevention priorities: a guide for community planning groups. Academy for Educational Development’s Center for Community-based Health Strategies, Washington, DC

  3. Brandeau ML (2004) Allocating resources to control infectious diseases. In: Brandeau ML, Sainfort F, Pierskalla WP (eds) Operations research and health care: a handbook of methods and applications. Kluwer, Boston, MA

    Google Scholar 

  4. Paltiel AD, Stinnett, AS (1998) Resource allocation and the funding of HIV prevention. In: Holtgrave DR (ed) Handbook of economic evaluation of HIV prevention programs. Plenum, New York

    Google Scholar 

  5. Stinnett AA, Paltiel AD (1996) Mathematical programming for the efficient allocation of health care resources. J Health Econ 15:641–653

    Article  Google Scholar 

  6. Kaplan EH, Merson MH (2002) Allocating HIV-prevention resources: balancing efficiency and equity. Am J Public Health 92:1905–1907

    Google Scholar 

  7. Zaric GS, Brandeau ML (2001) Optimal investment in a portfolio of HIV prevention programs. Med Decis Mak 21:391–408

    Article  Google Scholar 

  8. Kaplan EH (1998) Economic evaluation and HIV prevention community planning: a policy analyst’s perspective. In: Holtgrave DR (ed) Handbook of economic evaluation of HIV prevention programs. Plenum, New York

    Google Scholar 

  9. Pinkerton SD, Abramson PR (1998) The Bernoulli-process model of HIV transmission: applications and implications. In: Holtgrave DR (ed) Handbook of economic evaluation of HIV prevention programs. Plenum, New York

    Google Scholar 

  10. Zaric GS, Brandeau ML (2001) Resource allocation for epidemic control over short time horizons. Math Biosci 171:33–58

    Article  Google Scholar 

  11. Brandeau ML, Zaric GS, Richter A (2003) Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis. J Health Econ 22:575–598

    Article  Google Scholar 

  12. Richter A, Loomis B (2005) Health and economic impacts of an HIV intervention in out of treatment substance abusers: evidence from a dynamic model. Health Care Manage Sci 8:67–79

    Article  Google Scholar 

  13. Zaric GS, Brandeau ML (2007) A little planning goes a long way: Multi-level allocation of HIV prevention resources. Med Decis Mak 27:71–81

    Google Scholar 

  14. Lasry A, Zaric GS, Carter MW (2007) Multi-level resource allocation for HIV prevention: A model for developing countries. Eur J Oper Res 180(2):786–799

    Google Scholar 

  15. Tengs TO, Meyer G, Siegel JE, Pliskin JS, Graham JD, Weinstein MC (1996) Oregon’s medicaid ranking and cost-effectiveness: is there a relationship? Med Decis Mak 16:99–107

    Article  Google Scholar 

  16. Pinkerton SD, Johnson-Masotti AP, Derse A, Layde PM (2002) Ethical issues in cost-effectiveness analysis. Eval Program Plann 25:71–83

    Article  Google Scholar 

  17. Holtgrave DR (2004) HIV prevention, cost-utility analysis, and race/ethnicity: methodological considerations and recommendations. Med Decis Mak 24:181–191

    Article  Google Scholar 

  18. The Henry J. Kaiser Family Foundation, Cumulative HIV infection cases reported through 2004 among states with confidential name-based reporting. Available at: http://www.statehealthfacts.org/cgi-bin/healthfacts.cgi?action=compare&category=HIV%2fAIDS&subcategory=Cumulative+Reported+HIV+Infections+%28Cases%29&topic=Cumulative+Reported+HIV+Cases+All+Ages. Accessed November 13, 2006

  19. Florida Epidemiologic Profile 2000, HIV/AIDS summary analyses of community planning partnerships, Section 3B, 195–230. Available at: http://www.doh.state.fl.us/disease_ctrl/aids/trends/epiprof/16epiprofgeosum.pdf. Accessed November 13, 2006

  20. Kaplan EH, Heimer R (1992) A model-based estimate of HIV infectivity via needle sharing. J Acquir Immune Defic Syndr 5:1116–1118

    Google Scholar 

  21. Abdala N, Gleghorn AA, Carney JM, Heimer R (2001) Can HIV-1 contaminated syringes by disinfected? Implications for transmission among IDUs. J Acquir Immune Defic Syndr 28:487–494

    Google Scholar 

  22. Anderson RM, May RM (1998) Epidemiological parameters of HIV transmission. Nature 333:514–519

    Article  Google Scholar 

  23. Pinkerton SD, Abramson PR (1997) Effectiveness of condoms in preventing HIV transmission. Soc Sci Med 44:1303–1312

    Article  Google Scholar 

  24. Silverman BG, Gross TP (1997) Use and effectiveness of condoms during anal intercourse. Sex Transm Dis 24:11–17

    Article  Google Scholar 

  25. Anderson J (2003) Condom use and HIV risk among US adults. Am J Public Health 93:912–914

    Google Scholar 

  26. Kahn J (1998) Economic evaluation of primary HIV prevention in injection drug users. In: Holtgrave DR (ed) Handbook of economic evaluation of HIV prevention programs. Plenum, New York

    Google Scholar 

  27. Laumann E, Gagnon J, Michael R, Michaels S (1994) The social organization of sexuality: sexual practices in the United States. University of Chicago Press, Chicago, IL

    Google Scholar 

  28. Kamb ML, Fishbein M, Douglas JM Jr., Rhodes F, Rogers J, Bolan, G, Zenilman, J, Hoxworth T, Malotte CK, Iatesta M, Kent C, Lentz A, Graziano, S, Byers RH, Peterman TA (1998) Efficacy of risk-reduction counseling to prevent human immunodeficiency virus and sexually transmitted diseases. J Am Med Assoc 280:1161–1167

    Article  Google Scholar 

  29. Zaric GS, Barnett PG, Brandeau ML (2000) HIV transmission and the cost effectiveness of methadone maintenance. Am J Public Health 90:1100–1111

    Google Scholar 

  30. Pinkerton SD, Holtgrave DR, Valdiserri R (1997) Cost-effectiveness of HIV-prevention skills training for men who have sex with men. AIDS 11:347–357

    Article  Google Scholar 

  31. Bedimo A, Pinkerton S, Cohen D, Gray B, Farley T (2002) Condom distribution: A cost-utility analysis. Int J STD AIDS 13:384–392

    Article  Google Scholar 

  32. Holtgrave DR, Kelly J (1997) Cost-effectiveness of an HIV/AIDS prevention intervention for gay men. AIDS Behav 1:173–180

    Article  Google Scholar 

  33. Kahn J, Kegeles S, Hays R, Beltzer N (2001) Cost-effectiveness of the empowerment project, a community-level intervention for young gay men. J Acquir Immune Defic Syndr 27:482–491

    Google Scholar 

  34. Holtgrave DR, Reiser WJ, DiFranceisco W (1997) The evaluation of HIV counseling-and-testing services: making the most of limited resources. AIDS Educ Prev 9:105–118

    Google Scholar 

  35. Pinkerton SD, Holtgrave DR, DiFranceisco W, Stevenson Y, Kelly, J (1998) Cost-effectiveness of a community-level HIV risk reduction intervention. Am J Public Health 1239–1242

  36. Tao G, Remafedi G (1998) Economic evaluation of an HIV prevention intervention for gay and bisexual adolescents. J Acquir Immune Defic Syndr 17:83–90

    Google Scholar 

  37. Chesson H, Greenberg J, Hennessy M (2002) The cost-effectiveness of the WINGS intervention: a program to prevent HIV and sexually transmitted diseases among high-risk urban women. BMC Infect Dis 2:24

    Article  Google Scholar 

  38. Holtgrave DR, Kelly J (1996) Preventing HIV/AIDS among high-risk urban women: the cost-effectiveness of a behavioral group intervention. Am J Public Health 86:1442–1445

    Article  Google Scholar 

  39. Pinkerton SD, Holtgrave DR, Jemmott J III (2000) Economic evaluation of HIV risk reduction intervention in African-American male adolescents. J Acquir Immune Defic Syndr 25:164–172

    Article  Google Scholar 

  40. Pinkerton SD, Holtgrave DR, DiFranceisco W, Semann S, Coyle S, Johnson-Masotti A (2000) Cost-threshold analyses of the national AIDS demonstration research HIV prevention interventions. AIDS 14:1257–1268

    Article  Google Scholar 

  41. Kahn JG, Washington AE, Showstack JA, Berlin M, Phillips K (1992) Updated estimates of the impact and cost of HIV prevention in injection drug users. Institute for Health Policy Studies, University of California, San Francisco, CA

    Google Scholar 

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Correspondence to Stephanie R. Earnshaw.

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Funding: This research was supported by Cooperative Agreement Number R18/CCR420943 from the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent official views of the CDC.

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Earnshaw, S.R., Hicks, K., Richter, A. et al. A linear programming model for allocating HIV prevention funds with state agencies: a pilot study. Health Care Manage Sci 10, 239–252 (2007). https://doi.org/10.1007/s10729-007-9017-8

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  • DOI: https://doi.org/10.1007/s10729-007-9017-8

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