The Price of Nonabandonment: HIV in Resource-Limited Settings

References

• Adelman D, Mersereau AJ (2008) Relaxations of weakly coupled stochastic dynamic programs. Oper. Res. 56(3):712–727.Link, Google Scholar
• AIDS.gov (2013) Global AIDS overview. Accessed September 2014, http://www.aids.gov/federal-resources/around-the-world/global-aids-overview/.Google Scholar
• Alistar SS, Brandeau ML, Beck EJ (2013) Reach: A practical HIV resource allocation tool for decision makers. Operations Research and Health Care Policy (Springer, New York), 201–223.Crossref, Google Scholar
• American Medical Association (2009) Withholding or withdrawing life-sustaining medical treatment. Accessed September 2014, http://www.ama-assn.org//ama/pub/physician-resources/medical-ethics/code-medical-ethics/opinion220.page.Google Scholar
• Anderson RM, May RM (1991) Infectious Diseases of Humans: Dynamics and Control (Oxford University Press, Oxford, UK).Crossref, Google Scholar
• Avdeeva O, Lazarus J, Abdel Aziz M, Atun R (2011) The global fund’s resource allocation decisions for HIV programs: Addressing those in need. J. Internat. AIDS Soc. 14(1):1–10.Crossref, Google Scholar
• Badri M, Cleary S, Maartens G, Pitt J, Bekker LG, Orrell C, Wood R (2006) When to initiate highly active antiretroviral therapy in sub-Saharan Africa? A South African cost-effectiveness study. Antiviral Therapy 11(1):63–72.Google Scholar
• Bertsekas DP (2007) Dynamic Programming and Optimal Control, Vol. 2 (Athena Scientific, Belmont, MA).Google Scholar
• Bertsimas D, Farias VF, Trichakis N (2013) Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Oper. Res. 61(1):73–87.Link, Google Scholar
• Braithwaite RS, Nucifora KA, Yiannoutsos CT, Musick B, Kimaiyo S, Diero L, Bacon MC, Wools-Kaloustian K (2011) Alternative antiretroviral monitoring strategies for HIV-infected patients in east Africa: Opportunities to save more lives? J. Internat. AIDS Soc. 14(38). doi: 10.1186/1758-2652-14-38.Google Scholar
• Brown DB, Smith JE, Sun P (2010) Information relaxations and duality in stochastic dynamic programs. Oper. Res. 58(4):785–801.Link, Google Scholar
• Caplan A (1995) Organ procurement and transplantation: Ethical and practical issues. Center for Bioethics, University of Pennsylvania School of Medicine, Volume 2, Number 5; http://www.upenn.edu/ldi/issuebrief2_5.html.Google Scholar
• de Farias DP, Van Roy B (2003) The linear programming approach to approximate dynamic programming. Oper. Res. 51(6):850–865.Link, Google Scholar
• de Farias DP, Van Roy B (2004) On constraint sampling in the linear programming approach to approximate dynamic programming. Math. Oper. Res. 29(3):462–478.Link, Google Scholar
• El-Sadr WM, Lundgren JD, Neaton JD, Gordin F, Abrams D, Arduino RC, Babiker A, Burman W, Clumeck N, Cohen CJ (2006) CD4+ count-guided interruption of antiretroviral treatment. New England J. Medicine 355(22):2283–2296.Crossref, Google Scholar
• Erdelyi A, Topaloglu H (2009) Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods. IIE Trans. 41(6):498–510.Crossref, Google Scholar
• Faden RR, Chalkidou K, Appleby J, Waters HR, Leider JP (2009) Expensive cancer drugs: A comparison between the United States and the United Kingdom. Milbank Quart. 87(4):789–819.Crossref, Google Scholar
• Farias V, Saure D, Weintraub G (2012) An approximate dynamic programming approach to solving dynamic oligopoly models. RAND J. Econom. 43(2):253–282.Crossref, Google Scholar
• Garnett GP, Anderson RM (1994) Balancing sexual partnerships in an age and activity stratified model of HIV transmission in heterosexual populations. IMA J. Math. Appl. Medicine and Biology 11(3):161–192.Crossref, Google Scholar
• General Medical Council (2010) Treatment and care towards the end of life: Good practice in decision making. Accessed September 2014, http://www.gmc-uk.org/guidance/ethical_guidance/end_of_life_care.asp.Google Scholar
• Glasziou PP, Simes RJ, Gelber RD (1990) Quality adjusted survival analysis. Statist. Medicine 9(11):1259–1276.Crossref, Google Scholar
• Joint United Nations Programme on HIV/AIDS (2010) UNAIDS report on the global AIDS epidemic. Accessed September 2014, http://www.unaids.org/en/.Google Scholar
• Khademi A, Braithwaite RS, Saure D, Schaefer AJ, Nucifora K, Roberts MS (2014) Should expectations about the rate of new antiretroviral drug development impact the timing of HIV treatment initiation and expectations about treatment benefits? PLoS ONE 9(6):e98354.Crossref, Google Scholar
• Kirby J (2010) Enhancing the fairness of pandemic critical care triage. J. Medical Ethics 36(12):758–761.Crossref, Google Scholar
• Kohlenberger C, Sprung CL, Danis M, Baily MA, Chalfin DB, Dagi TF, Davila Fet al. (1994) Consensus statement on the triage of critically ill patients. J. Amer. Medical Assoc. 271(15):1200–1203.Crossref, Google Scholar
• Kraus CK, Levy F, Kelen GD (2007) Lifeboat ethics: Considerations in the discharge of inpatients for the creation of hospital surge capacity. Disaster Medicine and Public Health Preparedness 1(1):51–56.Crossref, Google Scholar
• Kretzschmar M, Morris M (1996) Measures of concurrency in networks and the spread of infectious disease. Math. Biosciences 133(2):165–195.Crossref, Google Scholar
• Lai G, Margot F, Secomandi N (2010) An approximate dynamic programming approach to benchmark practice-based heuristics for natural gas storage valuation. Oper. Res. 58(3):564–582.Link, Google Scholar
• Lee CP, Chertow GM, Zenios SA (2008) Optimal initiation and management of dialysis therapy. Oper. Res. 56(6):1428–1449.Link, Google Scholar
• Long EF, Brandeau ML, Galvin CM, Vinichenko T, Tole SP, Schwartz A, Sanders GD, Owens DK (2006) Effectiveness and cost-effectiveness of strategies to expand antiretroviral therapy in St. Petersburg, Russia. AIDS 20(17):2207–2215.Crossref, Google Scholar
• Long L, Fox M, Sanne I, Rosen S (2010) The high cost of second-line antiretroviral therapy for HIV/AIDS in South Africa. AIDS 24(6):915–919.Crossref, Google Scholar
• Maxwell M, Restrepo M, Henderson SG, Topaloglu H (2009) Approximate dynamic programming for ambulance redeployment. INFORMS J. Comput. 22(2):266–281.Link, Google Scholar
• Mollison D (1995) Epidemic Models: Their Structure and Relation to Data (Cambridge University Press, New York).Google Scholar
• Neaton JD, Grund B (2008) Earlier initiation of antiretroviral therapy in treatment-naive patients: Implications of results of treatment interruption trials. Current Opinion in HIV and AIDS 3(2):112–117.Crossref, Google Scholar
• Organ Procurement and Transplantation Network (2014) The new kidney allocation system (KAS) frequently asked questions. Accessed September 2014, http://optn.transplant.hrsa.gov/ContentDocuments/KAS_FAQs.pdf.Google Scholar
• Patrick J, Puterman M, Queyranne M (2008) Dynamic multi-priority patient scheduling for a diagnostic resource. Oper. Res. 56(6):1507–1525.Link, Google Scholar
• Persad GC, Wertheimer A, Emanuel EJ (2010) Standing by our principles: Meaningful guidance, moral foundations, and multi-principle methodology in medical scarcity. Amer. J. Bioethics 10(4):46–48.Crossref, Google Scholar
• Phillips AN, Lepri AC, Lampe F, Johnson M, Sabin CA (2003) When should antiretroviral therapy be started for HIV infection? Interpreting the evidence from observational studies. AIDS 17(3):1863–1869.Crossref, Google Scholar
• PLATO Collaboration (2004) Predictors of trend in CD4-positive T-cell count and mortality among HIV-1 infected individuals with virological failure to all three antiretroviral-drug classes. The Lancet 364(9428):51–62.Crossref, Google Scholar
• Puterman ML (2005) Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley-Intersceince, New York).Google Scholar
• Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers RL, Alvarez-Uria G, et al. (2013) Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings. J. Antimicrobial Chemotherapy. 68(6):1406–1414.Crossref, Google Scholar
• Rottman SJ, Shoaf KI, Schlesinger J, Selski EK, Perman J, Lamb K, Cheng J (2010) Pandemic influenza triage in the clinical setting. Prehospital and Disaster Medicine 25(02):99–104.Crossref, Google Scholar
• Shechter SM, Bailey MD, Schaefer AJ, Roberts MS (2008) The optimal time to initiate HIV therapy under ordered health states. Oper. Res. 56(1):20–33.Link, Google Scholar
• Tabery J, Mackett C (2008) The ethics of triage in the event of an influenza pandemic. Disaster Medicine and Public Health Preparedness 2(2):114–118.Crossref, Google Scholar
• Ubel PA, Arnold RM, Caplan AL (1993) Rationing failure. The ethical lessons of the retransplantation of scarce vital organs. J. Amer. Medical Assoc. 270(20):2469–2474.Crossref, Google Scholar
• UNAIDS (2012) AIDS dependency crisis: Sourcing African solutions. Accessed September 2014, http://www.unaids.org/en/resources/publications/unaidspublications/2012/.Google Scholar
• Walensky RP, Wolf LL, Wood R, Fofana MO, Freedberg KA, Martinson NA, Paltiel AD, Anglaret X, Weinstein MC, Losina E (2009) When to start antiretroviral therapy in resource-limited settings. Ann. Internal Medicine 48(3):178–185.Google Scholar
• Watts CH, May RM (1992) The influence of concurrent partnerships on the dynamics of HIV/AIDS. Math. Biosciences 108(1):89–104.Crossref, Google Scholar
• Wein LM, Zenios SA, Nowak MA (1997) Dynamic multidrug therapies for HIV: A control theoretic approach. J. Theoret. Biology 185(1):15–29.Crossref, Google Scholar
• WHO (2012) The global report for research on infectious diseases of poverty. Accessed September 2014, http://whqlibdoc.who.int/publications/2012/9789241564489eng.pdf.Google Scholar
• WHO (2010a) Antiretroviral therapy for HIV infection in adults and adolescents: Recommendations for a public health approach. Accessed September 2014, http://www.who.int/hiv/pub/arv/adult2010/en/index.html.Google Scholar
• WHO (2010b) HIV/AIDS statistics: World Health Organization. Accessed September 2014, http://apps.who.int/globalatlas/default.asp.Google Scholar
• Zaric GS, Brandeau ML (2001) Optimal investment in a portfolio of HIV prevention programs. Medical Decision Making 21(5):391–408.Crossref, Google Scholar
• Zhang D, Adelman D (2009) An approximate dynamic programming approach to network revenue management with customer choice. Transportation Sci. 43(3):381–394.Link, Google Scholar