2015 Informs Annual Meeting

SD33

INFORMS Philadelphia – 2015

SD33 33-Room 410, Marriott Operations Research/Management for Women’s Health Sponsor: Health Applications Sponsored Session Chair: Soroush Saghafian, Harvard University, 79 JFK Street, Cambridge, MA, 02138, United States of America, Soroush.Saghafian@asu.edu 1 - Design of Financial Incentives for Maternity Care Safety and Quality Beste Kucukyazici, McGill University, 1001 Sherbrooke Street West, Room 526, Montreal, QC, H3A 1G5, Canada, beste.kucukyazici@mcgill.ca, Cheng Zhu Rate of C-section, which exposes potential harms on mothers and newborns as well as heavy economic burden, has been increasing constantly and this growth raises some concerns for the policy makers. This research focuses on optimizing the financial incentives, i.e. choosing best payment scheme and optimizing how to reimburse obstetricians under this scheme, in order to reduce the C-section rates without sacrificing birth quality while alleviating economic burden for overall health care system. 2 - Cost-Effectiveness of Malaria Preventive Treatment for HIV-Infected Pregnant Women in South Africa Sung Eun Choi, Stanford University, 44 Olmsted Rd Apt. 121, Stanford, Ca, 94305, United States of America, sungeunc@stanford.edu, Margaret L. Brandeau, Eran Bendavid Combined malaria and HIV infection during pregnancy increases the susceptibility of both mother and child to the negative effects of malaria, such as anemia, low birth weight, and placental malaria. A microsimulation model of HIV-infected pregnant women in sub-Saharan Africa was developed to assess the cost- effectiveness of different malaria preventive treatment approaches, including co-trimoxazole and intermittent preventive treatment in pregnancy with sulfadoxine-pyrimethamine (IPTp-SP). 3 - Mammography Screening Policies under Budgetary Restrictions Aysegul Demirtas, Graduate Student, Arizona State University, 699 S Mill Avenue, Tempe, AZ, 85281, United States of America, ademirt2@asu.edu, Esma Gel, Soroush Saghafian Hypertensive disorders of pregnancy (HDP) are one of the leading cause of maternal and neonatal mortality and morbidity in the world. We consider the decision problem of timing and mode of delivery for women with HDP. We formulate a discrete-time, infinite-horizon Markov decision process model in which the objective is to minimize the risks of maternal and neonatal adverse outcomes. We use clinical data in our computational results and provide delivery strategies under various scenarios. SD34 34-Room 411, Marriott Medical Decision Making Sponsor: Health Applications Sponsored Session Chair: Michelle Alvarado, Visiting Assistant Professor, Texas A&M University, 3131 TAMU, College Station, TX, 77840, United States of America, alvarado.michelle.m@gmail.com 1 - Assessing Prevention Strategies for Mid-life Adults: An Agent- based Modeling Approach Yan Li, Research Scientist, The New York Academy of Medicine, 99-52 66th Rd. Apt. 9M, Rego Park, NY, 11374, United States of America, yli@nyam.org 70 percent of mid-life adults in the US have been diagnosed with at least one chronic condition and nearly half of them have two or more. We developed an agent-based model to capture the development and consequences of several Mucahit Cevik, University of Wisconsin - Madison, 1513 University Avenue, Madison, WI, 53706, United States of America, cevik2@wisc.edu, Oguzhan Alagoz Cost of mammography and lack of resources in terms of number of diagnostic machines and the number of trained workforce to interpret mammograms limit the widespread use of mammography for screening in many countries. We investigate the breast cancer screening problem in a resource-constrained setting where the objective is to maximize total quality adjusted life years of the patients, and present a novel approach to obtain clinically intuitive policies. 4 - The Optimal Control of Child Delivery for Women with Hypertensive Disorders of Pregnancy

prevalent cardio-metabolic conditions, including obesity, hypertension, hypercholesterolemia, and diabetes, in mid-life adults. We conducted simulated trials to assess the impact of different lifestyle interventions on the health outcomes of general mid-life adults. 2 - Developing a Clinical Decision Support System for Diabetic Retinopathy Saeed Piri, Research Assistant, Oklahoma State University, IEM department, 322 Engineering North, Stillwater, Ok, 74078, United States of America, saeed.piri@okstate.edu, Tieming Liu About 29.1 million American have diabetes and about 30% of the diabetic patients develop diabetic retinopathy. The purpose of this research is to develop a clinical decision support system that could be used by the physicians and clinicians to manage the condition and progression path of the diabetic retinopathy. We are analyzing two sets of data, first EHR data of about 3 million diabetic patients, and second, detailed data of about 2000 diabetic retinopathy patients. 3 - Readmission Reduction Strategies in Medicaid / Medicare – Hospital System Michelle Alvarado, Visiting Assistant Professor, Texas A&M University, 3131 TAMU, College Station, TX, 77840, United States of America, alvarado.michelle.m@gmail.com, Yi Zhang, Mark Lawley In 2012 the Centers for Medicare and Medicaid Services implemented a penalty- only system for hospitals with high readmission rates. We develop a penalty-incentive model for hospital readmissions in a basic game theoretic setting between Medicaid/Medicare and a Hospital. Medicaid/Medicare designs a penalty-incentive mechanism that can inspire the Hospital to adopt a proper level of care. We identify the win-win region for the penalty-incentive factor and present preliminary analysis results. SD35 35-Room 412, Marriott OR in Public Policy: From Healthcare to Food Banks Sponsor: Public Sector OR Sponsored Session Chair: Ebru Bish, Associate Professor, Virginia Tech, Dept of Industrial and Systems Engg, 250 Durham Hall, Blacksburg, VA, 24061-0118, United States of America, ebru@vt.edu 1 - Value of Inventory Information in Allocating Flu Vaccine with Limited Supply Zihao Li, PhD Student, Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta, GA, 30332-0205, United States of America, zli66@gatech.edu, Pinar Keskinocak, Julie Swann Timely vaccination can prevent influenza, but flu vaccine supply is often limited. We study the allocation of vaccines when the uptake rates vary geographically. We derive allocation strategies based on inventory information and compare them to strategies that are population based. We quantify how many cases of flu can be prevented, how much inventory is saved, and the unmet demand under both policies. The results emphasize the need for greater visibility in public health supply chains. 2 - Modeling for the Equitable and Effective Distribution of Food Donations under Stochastic Capacities Irem Sengul Orgut, Lenovo, 1009 Think Place, Morrisville, NC, United States of America, isengul@ncsu.edu, Reha Uzsoy, Julie Ivy In partnership with the Food Bank of Central and Eastern North Carolina, which distributes donated food to a 34-county service area, our objective is to achieve the equitable and effective food distribution among the population at risk for hunger. Counties’ capacities are the main source of uncertainty in this system as they constrain the total food distribution due to the need to distribute food equitably. We develop stochastic models for optimal food distribution and prove structural results. 3 - Resource Deployment and Donation Allocation for Epidemic Outbreaks Azrah Azhar, Graduate Student, George Washington University, 800, 22nd Street NW, Washington, DC, 20052, United States of America, azrah@gwu.edu, Miguel Lejeune We propose an epidemic response model for developing countries that determines the number and location of treatment facilities and ambulances; deploys medical staff; and organizes the transportation of patients. We develop a framework to optimize the utilization of earmarked donations, and carry out a cost-benefit analysis for intervention strategies financed by a donation.

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