Incentive-based Optimal Intervention Policy to Reduce Hospital Readmissions for COPD Patients

被引:0
|
作者
Lee, Sujee [1 ]
Zhong, Xiang [2 ]
Lee, Hyo Kyung [1 ]
Zhao, Cong [1 ]
Bain, Philip A. [3 ]
Kundinger, Tammy [4 ]
Sommers, Craig [4 ]
Baker, Christine [4 ]
Li, Jingshan [1 ]
机构
[1] Univ Wisconsin, Dept Ind & Syst Engn, 1513 Univ Ave, Madison, WI 53706 USA
[2] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA
[3] Dean Hlth Syst, 1821 Stoughton Rd, Madison, WI 53716 USA
[4] St Marys Hosp, 700 S Pk St, Madison, WI 53715 USA
关键词
Chronic obstructive pulmonary disease (COPD); readmission; intervention; incentive; optimal policy; OBSTRUCTIVE PULMONARY-DISEASE; HEALTH-CARE; UNITED-STATES; RISK-FACTORS; BURDEN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces an optimization model to support decision making for selection of appropriate incentive-based interventions to reduce readmissions of patients with chronic obstructive pulmonary disease (COPD). Such a model can be used to identify the optimal incentive policies to encourage patients taking appropriate interventions so that the readmission risk can be minimized under an incentive budget constraint. Closed formulas are derived under various budget scenarios and managerial insights are discussed to guide intervention implementation. The results of this work provide a quantitative tool to support hospitals planning of intervention activities.
引用
收藏
页码:562 / 567
页数:6
相关论文
共 50 条
  • [41] Predicting Early Hospital Readmissions in COPD Patients Using an Electronic Nose
    Rodrigo-Troyano, Ana
    Giner, Jordi
    Perea, Lidia
    Merino, Jose Luis
    Albacar, Nuria
    Solarat, Belen
    Castillo, Diego
    Faner, Rosa
    Agusti, Alvar
    Sibila, Oriol
    ARCHIVOS DE BRONCONEUMOLOGIA, 2022, 58 (09): : 663 - 665
  • [42] Need for an incentive-based reimbursement policy toward quality care for dialysis patient management
    Hidai, H
    KIDNEY INTERNATIONAL, 2000, 58 (01) : 363 - 373
  • [43] A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD
    Agarwal, Ankur
    Baechle, Christopher
    Behara, Ravi
    Zhu, Xingquan
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 22 (02) : 588 - 596
  • [44] A Bilevel Programming Framework for Determining the Optimal Incentive-Based Traffic Demand Management Strategy
    Wu, Jiyan
    Tian, Ye
    Sun, Jian
    CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 5900 - 5912
  • [45] A Multidisciplinary Initiative To Improve Inpatient COPD Education To Increase Medication Adherence And Reduce Hospital Readmissions
    Ryu, C.
    Lutchmansingh, D.
    Bradley, S.
    Brown, D.
    Kelsey, B.
    Mitchell, J.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187
  • [46] Targeted care navigation to reduce hospital readmissions in 'at-risk' patients
    Pang, Rebecca K.
    Srikanth, Velandai
    Snowdon, David A.
    Weller, Carolina D.
    Berry, Belinda
    Braun, Gary
    Edwards, Iain
    McGee, Fergus
    Azzopardi, Ruth
    Andrew, Nadine E.
    INTERNAL MEDICINE JOURNAL, 2023, 53 (07) : 1196 - 1203
  • [47] Extraction of actionable knowledge to reduce hospital readmissions through patients personalization
    Mardini, Mamoun T.
    Ras, Zbigniew W.
    INFORMATION SCIENCES, 2019, 485 : 1 - 17
  • [48] Incentive-based Intervention to Maintain Breastfeeding Among Low-income Puerto Rican Mothers
    Washio, Yukiko
    Humphreys, Mara
    Colchado, Elisa
    Sierra-Ortiz, Maria
    Zhang, Zugui
    Collins, Bradley N.
    Kilby, Linda M.
    Chapman, Donna J.
    Higgins, Stephan T.
    Kirby, Kimberly C.
    PEDIATRICS, 2017, 139 (03)
  • [49] EFFECTIVENESS OF AN INCENTIVE-BASED MHEALTH INTERVENTION TO PROMOTE SUSTAINED PHYSICAL ACTIVITY IN TWO CANADIAN PROVINCES
    Mitchell, Marc
    White, Lauren
    Faulkner, Guy
    ANNALS OF BEHAVIORAL MEDICINE, 2018, 52 : S407 - S407
  • [50] Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market
    Alasseri, Rajeev
    Rao, T. Joji
    Sreekanth, K. J.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 117 (117):