IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v67y2019i3p853-873.html
   My bibliography  Save this article

Prioritizing Hepatitis C Treatment in U.S. Prisons

Author

Listed:
  • Turgay Ayer

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30318)

  • Can Zhang

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Anthony Bonifonte

    (Data Analytics Program, Denison University, Granville, Ohio 43023)

  • Anne C. Spaulding

    (Rollins School of Public Health, Emory University, Atlanta, Georgia 30322)

  • Jagpreet Chhatwal

    (Massachusetts General Hospital Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts 02114)

Abstract

Hepatitis C virus (HCV) prevalence in prison systems is about 10 times higher than in the community. As such, prison systems offer a unique opportunity to control the HCV epidemic. New HCV-treatment drugs are very effective, but providing treatment to all inmates is prohibitively expensive unless prices fall. Current practice is to prioritize treatment based on disease severity and puts less emphasis on other factors such as the remaining sentence length and injection drug use behavior. In “Prioritizing Hepatitis C Treatment in U.S. Prisons,” T. Ayer, C. Zhang, A. Bonifonte, A. Spaulding, and J. Chhatwal analyze optimal approaches for treatment prioritization under resource constraints by developing a restless bandit modeling framework. They present an easy-to-implement closed-form index policy to support hepatitis C treatment prioritization decisions in U.S. prisons. They also test their proposed policy using a detailed, realistic agent-based simulation model and shed light on several controversial health policy decisions related to hepatitis C treatment prioritization.

Suggested Citation

  • Turgay Ayer & Can Zhang & Anthony Bonifonte & Anne C. Spaulding & Jagpreet Chhatwal, 2019. "Prioritizing Hepatitis C Treatment in U.S. Prisons," Operations Research, INFORMS, vol. 67(3), pages 853-873, May.
    • Handle: RePEc:inm:oropre:v:67:y:2019:i:3:p:853-873
    DOI: 10.1287/opre.2018.1812
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/opre.2018.1812
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.2018.1812?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Glazebrook, K. D. & Mitchell, H. M. & Ansell, P. S., 2005. "Index policies for the maintenance of a collection of machines by a set of repairmen," European Journal of Operational Research, Elsevier, vol. 165(1), pages 267-284, August.
    2. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453, Decembrie.
    3. Timothy C. Y. Chan & Tim Craig & Taewoo Lee & Michael B. Sharpe, 2014. "Generalized Inverse Multiobjective Optimization with Application to Cancer Therapy," Operations Research, INFORMS, vol. 62(3), pages 680-695, June.
    4. Christos H. Papadimitriou & John N. Tsitsiklis, 1999. "The Complexity of Optimal Queuing Network Control," Mathematics of Operations Research, INFORMS, vol. 24(2), pages 293-305, May.
    5. Sabina Alistar & Elisa Long & Margaret Brandeau & Eduard Beck, 2014. "HIV epidemic control—a model for optimal allocation of prevention and treatment resources," Health Care Management Science, Springer, vol. 17(2), pages 162-181, June.
    6. K. D. Glazebrook & C. Kirkbride & J. Ouenniche, 2009. "Index Policies for the Admission Control and Routing of Impatient Customers to Heterogeneous Service Stations," Operations Research, INFORMS, vol. 57(4), pages 975-989, August.
    7. Macalino, G.E. & Vlahov, D. & Sanford-Colby, S. & Patel, S. & Sabin, K. & Salas, C. & Rich, J.D., 2004. "Prevalence and incidence of HIV, hepatitis B virus, and hepatitis C virus infections among males in Rhode Island prisons," American Journal of Public Health, American Public Health Association, vol. 94(7), pages 1218-1223.
    8. Kaplan, Edward H. & Pollack, Harold, 1998. "Allocating HIV Prevention Resources," Socio-Economic Planning Sciences, Elsevier, vol. 32(4), pages 257-263, December.
    9. Mason, J.E. & Denton, B.T. & Shah, N.D. & Smith, S.A., 2014. "Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients," European Journal of Operational Research, Elsevier, vol. 233(3), pages 727-738.
    10. Amin Khademi & Denis R. Saure & Andrew J. Schaefer & Ronald S. Braithwaite & Mark S. Roberts, 2015. "The Price of Nonabandonment: HIV in Resource-Limited Settings," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 554-570, October.
    11. Steven M. Shechter & Matthew D. Bailey & Andrew J. Schaefer & Mark S. Roberts, 2008. "The Optimal Time to Initiate HIV Therapy Under Ordered Health States," Operations Research, INFORMS, vol. 56(1), pages 20-33, February.
    12. Xuanming Su & Stefanos Zenios, 2004. "Patient Choice in Kidney Allocation: The Role of the Queueing Discipline," Manufacturing & Service Operations Management, INFORMS, vol. 6(4), pages 280-301, June.
    13. Sarang Deo & Seyed Iravani & Tingting Jiang & Karen Smilowitz & Stephen Samuelson, 2013. "Improving Health Outcomes Through Better Capacity Allocation in a Community-Based Chronic Care Model," Operations Research, INFORMS, vol. 61(6), pages 1277-1294, December.
    14. Jonathan E. Helm & Mariel S. Lavieri & Mark P. Van Oyen & Joshua D. Stein & David C. Musch, 2015. "Dynamic Forecasting and Control Algorithms of Glaucoma Progression for Clinician Decision Support," Operations Research, INFORMS, vol. 63(5), pages 979-999, October.
    15. Daniel Adelman & Adam J. Mersereau, 2008. "Relaxations of Weakly Coupled Stochastic Dynamic Programs," Operations Research, INFORMS, vol. 56(3), pages 712-727, June.
    16. T. W. Archibald & D. P. Black & K. D. Glazebrook, 2009. "Indexability and Index Heuristics for a Simple Class of Inventory Routing Problems," Operations Research, INFORMS, vol. 57(2), pages 314-326, April.
    17. Xuanming Su & Stefanos A. Zenios, 2005. "Patient Choice in Kidney Allocation: A Sequential Stochastic Assignment Model," Operations Research, INFORMS, vol. 53(3), pages 443-455, June.
    18. Sarang Deo & Milind Sohoni, 2015. "Optimal Decentralization of Early Infant Diagnosis of HIV in Resource-Limited Settings," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 191-207, May.
    19. Dimitris Bertsimas & José Niño-Mora, 2000. "Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic," Operations Research, INFORMS, vol. 48(1), pages 80-90, February.
    20. Jónas Oddur Jónasson & Sarang Deo & Jérémie Gallien, 2017. "Improving HIV Early Infant Diagnosis Supply Chains in Sub-Saharan Africa: Models and Application to Mozambique," Operations Research, INFORMS, vol. 65(6), pages 1479-1493, December.
    21. Z. Caner Taşkın & J. Cole Smith & H. Edwin Romeijn & James F. Dempsey, 2010. "Optimal Multileaf Collimator Leaf Sequencing in IMRT Treatment Planning," Operations Research, INFORMS, vol. 58(3), pages 674-690, June.
    22. Sarang Deo & Kumar Rajaram & Sandeep Rath & Uday S. Karmarkar & Matthew B. Goetz, 2015. "Planning for HIV Screening, Testing, and Care at the Veterans Health Administration," Operations Research, INFORMS, vol. 63(2), pages 287-304, April.
    23. Dimitris Bertsimas & Allison O’Hair & Stephen Relyea & John Silberholz, 2016. "An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer," Management Science, INFORMS, vol. 62(5), pages 1511-1531, May.
    24. Kaplan, E.H. & Merson, M.H., 2002. "Allocating HIV-prevention resources: Balancing efficiency and equity," American Journal of Public Health, American Public Health Association, vol. 92(12), pages 1905-1907.
    25. Dimitris Bertsimas & Vivek F. Farias & Nikolaos Trichakis, 2013. "Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation," Operations Research, INFORMS, vol. 61(1), pages 73-87, February.
    26. Chris P. Lee & Glenn M. Chertow & Stefanos A. Zenios, 2008. "Optimal Initiation and Management of Dialysis Therapy," Operations Research, INFORMS, vol. 56(6), pages 1428-1449, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gong, Jue & Liu, Shan, 2023. "Partially observable collaborative model for optimizing personalized treatment selection," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1409-1419.
    2. José Niño-Mora, 2020. "A Fast-Pivoting Algorithm for Whittle’s Restless Bandit Index," Mathematics, MDPI, vol. 8(12), pages 1-21, December.
    3. Emanuele Borgonovo & Marco Pangallo & Jan Rivkin & Leonardo Rizzo & Nicolaj Siggelkow, 2022. "Sensitivity analysis of agent-based models: a new protocol," Computational and Mathematical Organization Theory, Springer, vol. 28(1), pages 52-94, March.
    4. Urtzi Ayesta & Manu K. Gupta & Ina Maria Verloop, 2021. "On the computation of Whittle’s index for Markovian restless bandits," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 93(1), pages 179-208, February.
    5. José Niño-Mora, 2022. "Multi-Gear Bandits, Partial Conservation Laws, and Indexability," Mathematics, MDPI, vol. 10(14), pages 1-31, July.
    6. Ya‐Tang Chuang & Manaf Zargoush & Somayeh Ghazalbash & Saied Samiedaluie & Kerry Kuluski & Sara Guilcher, 2023. "From prediction to decision: Optimizing long‐term care placements among older delayed discharge patients," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1041-1058, April.
    7. José Niño-Mora, 2020. "Fast Two-Stage Computation of an Index Policy for Multi-Armed Bandits with Setup Delays," Mathematics, MDPI, vol. 9(1), pages 1-36, December.
    8. Elisa F. Long & Gilberto Montibeller & Jun Zhuang, 2022. "Health Decision Analysis: Evolution, Trends, and Emerging Topics," Decision Analysis, INFORMS, vol. 19(4), pages 255-264, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    2. Ting-Yu Ho & Shan Liu & Zelda B. Zabinsky, 2019. "A Multi-Fidelity Rollout Algorithm for Dynamic Resource Allocation in Population Disease Management," Health Care Management Science, Springer, vol. 22(4), pages 727-755, December.
    3. Elliot Lee & Mariel S. Lavieri & Michael Volk, 2019. "Optimal Screening for Hepatocellular Carcinoma: A Restless Bandit Model," Service Science, INFORMS, vol. 21(1), pages 198-212, January.
    4. Pinar Keskinocak & Nicos Savva, 2020. "A Review of the Healthcare-Management (Modeling) Literature Published in Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 59-72, January.
    5. Hessam Bavafa & Sergei Savin & Christian Terwiesch, 2021. "Customizing Primary Care Delivery Using E‐Visits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4306-4327, November.
    6. Breugem, Thomas & Wolter, Tim Sergio & Van Wassenhove, Luk N., 2023. "Visit Allocation Problems in Multi-Service Settings : Policies and Worst-Case Bounds," Discussion Paper 2023-004, Tilburg University, Center for Economic Research.
    7. Breugem, Thomas & Wolter, Tim Sergio & Van Wassenhove, Luk N., 2023. "Visit Allocation Problems in Multi-Service Settings : Policies and Worst-Case Bounds," Other publications TiSEM 01f06e7a-953b-479e-b351-8, Tilburg University, School of Economics and Management.
    8. Amin Khademi & Denis R. Saure & Andrew J. Schaefer & Ronald S. Braithwaite & Mark S. Roberts, 2015. "The Price of Nonabandonment: HIV in Resource-Limited Settings," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 554-570, October.
    9. Ece Zeliha Demirci & Joachim Arts & Geert-Jan Van Houtum, 2022. "A restless bandit approach for capacitated condition based maintenance scheduling," DEM Discussion Paper Series 22-01, Department of Economics at the University of Luxembourg.
    10. Diana M. Negoescu & Kostas Bimpikis & Margaret L. Brandeau & Dan A. Iancu, 2018. "Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases," Management Science, INFORMS, vol. 64(8), pages 3469-3488, August.
    11. Hossein Kamalzadeh & Vishal Ahuja & Michael Hahsler & Michael E. Bowen, 2021. "An Analytics‐Driven Approach for Optimal Individualized Diabetes Screening," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3161-3191, September.
    12. Urtzi Ayesta & Manu K. Gupta & Ina Maria Verloop, 2021. "On the computation of Whittle’s index for Markovian restless bandits," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 93(1), pages 179-208, February.
    13. Baris Ata & Yichuan Ding & Stefanos Zenios, 2021. "An Achievable-Region-Based Approach for Kidney Allocation Policy Design with Endogenous Patient Choice," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 36-54, 1-2.
    14. Zahra Gharibi & Michael Hahsler, 2021. "A Simulation-Based Optimization Model to Study the Impact of Multiple-Region Listing and Information Sharing on Kidney Transplant Outcomes," IJERPH, MDPI, vol. 18(3), pages 1-20, January.
    15. Vivek S. Borkar & Sarath Pattathil, 2022. "Whittle indexability in egalitarian processor sharing systems," Annals of Operations Research, Springer, vol. 317(2), pages 417-437, October.
    16. Dong Li & Li Ding & Stephen Connor, 2020. "When to Switch? Index Policies for Resource Scheduling in Emergency Response," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 241-262, February.
    17. Can Zhang & Atalay Atasu & Turgay Ayer & L. Beril Toktay, 2020. "Truthful Mechanisms for Medical Surplus Product Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 735-753, July.
    18. Yael Deutsch & Israel David, 2020. "Benchmark policies for utility-carrying queues with impatience," Queueing Systems: Theory and Applications, Springer, vol. 95(1), pages 97-120, June.
    19. Barış Ata & Anton Skaro & Sridhar Tayur, 2017. "OrganJet: Overcoming Geographical Disparities in Access to Deceased Donor Kidneys in the United States," Management Science, INFORMS, vol. 63(9), pages 2776-2794, September.
    20. José Niño-Mora, 2023. "Markovian Restless Bandits and Index Policies: A Review," Mathematics, MDPI, vol. 11(7), pages 1-27, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:67:y:2019:i:3:p:853-873. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.