IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v68y2022i4p2842-2859.html
   My bibliography  Save this article

Capacity Rationing in Primary Care: Provider Availability Shocks and Channel Diversion

Author

Listed:
  • Hessam Bavafa

    (Wisconsin School of Business, University of Wisconsin-Madison, Madison, Wisconsin 53706; School of Medicine and Public Health, University of Wisconsin-Madison,Madison, Wisconsin 53726)

  • Anne Canamucio

    (Veterans Health Administration, Washington, District of Columbia 20571)

  • Steven C. Marcus

    (School of Social Policy and Practice, University of Pennsylvania, Philadelphia, Pennsylvania 19104; Leonard Davis Institute for Health Economics, Philadelphia, Pennsylvania 19104)

  • Christian Terwiesch

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Rachel M. Werner

    (Leonard Davis Institute for Health Economics, Philadelphia, Pennsylvania 19104; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania 19104)

Abstract

We study capacity rationing by servers facing differentiated customer classes using data from the Veterans Health Administration, which is the largest integrated healthcare system in the U.S. Using more than 11 million health encounters over two years in which the system was capacity constrained, our study provides a comprehensive analysis of the impacts of provider availability shocks on care channel diversion and delays. The outcomes studied include emergency room (ER) visits broken down by type, urgent care center visits, office and phone visits with one’s own versus another provider, post-ER follow-up visits, and ER readmissions. Availability shocks in our analysis are a residualized measure characterizing weeks in which the provider has fewer (or more) office appointments than expected based on typical patterns. The main finding is that moving from two standard deviations above to two standard deviations below in availability shocks increases ER visits by 2.4%, or about 20,000 yearly ER visits. Interestingly, the increase in ER visits is only present for the non-emergent category, indicating differentiated service to emergent and non-emergent care requests; capacity-constrained providers still tend to the patients in most need. Another finding is that provider availability shocks delay and divert post-ER follow-up care. Yet there is no effect on ER readmissions, a severe outcome of delayed or foregone follow-up, indicating that providers ration by priority these follow-up appointments.

Suggested Citation

  • Hessam Bavafa & Anne Canamucio & Steven C. Marcus & Christian Terwiesch & Rachel M. Werner, 2022. "Capacity Rationing in Primary Care: Provider Availability Shocks and Channel Diversion," Management Science, INFORMS, vol. 68(4), pages 2842-2859, April.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:4:p:2842-2859
    DOI: 10.1287/mnsc.2021.4026
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2021.4026
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2021.4026?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. MILLER, Bruce L., 1969. "A queueing reward system with several customer classes," LIDAM Reprints CORE 41, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Bruce L. Miller, 1969. "A Queueing Reward System with Several Customer Classes," Management Science, INFORMS, vol. 16(3), pages 234-245, November.
    3. Donald M. Topkis, 1968. "Optimal Ordering and Rationing Policies in a Nonstationary Dynamic Inventory Model with n Demand Classes," Management Science, INFORMS, vol. 15(3), pages 160-176, November.
    4. Vinayak Deshpande & Morris A. Cohen & Karen Donohue, 2003. "A Threshold Inventory Rationing Policy for Service-Differentiated Demand Classes," Management Science, INFORMS, vol. 49(6), pages 683-703, June.
    5. Mohammad Delasay & Armann Ingolfsson & Bora Kolfal, 2016. "Modeling Load and Overwork Effects in Queueing Systems with Adaptive Service Rates," Operations Research, INFORMS, vol. 64(4), pages 867-885, August.
    6. Diwas S. Kc & Christian Terwiesch, 2009. "Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations," Management Science, INFORMS, vol. 55(9), pages 1486-1498, September.
    7. Dennis Campbell & Frances Frei, 2010. "Cost Structure, Customer Profitability, and Retention Implications of Self-Service Distribution Channels: Evidence from Customer Behavior in an Online Banking Channel," Management Science, INFORMS, vol. 56(1), pages 4-24, January.
    8. Hessam Bavafa & Sergei Savin & Christian Terwiesch, 2019. "Managing Patient Panels with Non‐Physician Providers," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1577-1593, June.
    9. Lawrence W. Robinson & Rachel R. Chen, 2010. "A Comparison of Traditional and Open-Access Policies for Appointment Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 330-346, June.
    10. Michael Freeman & Nicos Savva & Stefan Scholtes, 2017. "Gatekeepers at Work: An Empirical Analysis of a Maternity Unit," Management Science, INFORMS, vol. 63(10), pages 3147-3167, October.
    11. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    12. Dennis J. Zhang & Itai Gurvich & Jan A. Van Mieghem & Eric Park & Robert S. Young & Mark V. Williams, 2016. "Hospital Readmissions Reduction Program: An Economic and Operational Analysis," Management Science, INFORMS, vol. 62(11), pages 3351-3371, November.
    13. Adam Powell & Sergei Savin & Nicos Savva, 2012. "Physician Workload and Hospital Reimbursement: Overworked Physicians Generate Less Revenue per Patient," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 512-528, October.
    14. Shan Wang & Nan Liu & Guohua Wan, 2020. "Managing Appointment-Based Services in the Presence of Walk-in Customers," Management Science, INFORMS, vol. 66(2), pages 667-686, February.
    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. Kraig Delana & Sarang Deo & Kamalini Ramdas & Ganesh-Babu B. Subburaman & Thulasiraj Ravilla, 2023. "Multichannel Delivery in Healthcare: The Impact of Telemedicine Centers in Southern India," Management Science, INFORMS, vol. 69(5), pages 2568-2586, May.
    2. Manuel Hermosilla & Jian Ni & Haizhong Wang & Jin Zhang, 2023. "Leveraging the E-commerce footprint for the surveillance of healthcare utilization," Health Care Management Science, Springer, vol. 26(4), pages 604-625, 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. van Jaarsveld, W.L. & Dekker, R., 2009. "Finding optimal policies in the (S - 1, S ) lost sales inventory model with multiple demand classes," Econometric Institute Research Papers EI 2009-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Felix Papier & Ulrich W. Thonemann, 2010. "Capacity Rationing in Stochastic Rental Systems with Advance Demand Information," Operations Research, INFORMS, vol. 58(2), pages 274-288, April.
    3. Mirko Kremer & Francis de Véricourt, 2022. "Mismanaging diagnostic accuracy under congestion," ESMT Research Working Papers ESMT-22-01, ESMT European School of Management and Technology.
    4. van Wijk, A.C.C. & Adan, I.J.B.F. & van Houtum, G.J., 2012. "Approximate evaluation of multi-location inventory models with lateral transshipments and hold back levels," European Journal of Operational Research, Elsevier, vol. 218(3), pages 624-635.
    5. Xufeng Yang & Wen Jiao & Juliang Zhang & Hong Yan, 2022. "Capacity management for a leasing system with different equipment and batch demands," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 3004-3020, July.
    6. Büşra Ergün‐Şahin & Evrim Didem Güneş & Ayşe Kocabıyıkoğlu & Ahmet Keskin, 2022. "How does workload affect test ordering behavior of physicians? An empirical investigation," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2664-2680, June.
    7. Maria R. Ibanez & Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2018. "Discretionary Task Ordering: Queue Management in Radiological Services," Management Science, INFORMS, vol. 64(9), pages 4389-4407, September.
    8. Diwas S. KC & Bradley R. Staats & Maryam Kouchaki & Francesca Gino, 2020. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance," Management Science, INFORMS, vol. 66(10), pages 4397-4416, October.
    9. Diwas Singh KC & Stefan Scholtes & Christian Terwiesch, 2020. "Empirical Research in Healthcare Operations: Past Research, Present Understanding, and Future Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 73-83, January.
    10. Xufeng Yang & Juliang Zhang & Wen Jiao & Hong Yan, 2023. "Optimal Capacity Rationing Policy for a Container Leasing System with Multiple Kinds of Customers and Substitutable Containers," Management Science, INFORMS, vol. 69(3), pages 1468-1485, March.
    11. Song-Hee Kim & Carri W. Chan & Marcelo Olivares & Gabriel Escobar, 2015. "ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes," Management Science, INFORMS, vol. 61(1), pages 19-38, January.
    12. Yuqian Xu & Tom Fangyun Tan & Serguei Netessine, 2022. "The Impact of Workload on Operational Risk: Evidence from a Commercial Bank," Management Science, INFORMS, vol. 68(4), pages 2668-2693, April.
    13. Van-Anh Truong, 2015. "Optimal Advance Scheduling," Management Science, INFORMS, vol. 61(7), pages 1584-1597, July.
    14. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
    15. Kyle Y. Lin, 2003. "Decentralized admission control of a queueing system: A game‐theoretic model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(7), pages 702-718, October.
    16. Kyle Y. Lin & Sheldon M. Ross, 2003. "Admission Control with Incomplete Information of a Queueing System," Operations Research, INFORMS, vol. 51(4), pages 645-654, August.
    17. Saif Benjaafar & Mohsen ElHafsi & Tingliang Huang, 2010. "Optimal control of a production‐inventory system with both backorders and lost sales," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(3), pages 252-265, April.
    18. E. Carrizosa & E. Conde & M. Muñoz-Márquez, 1998. "Admission Policies in Loss Queueing Models with Heterogeneous Arrivals," Management Science, INFORMS, vol. 44(3), pages 311-320, March.
    19. Davide Mezzogori & Giovanni Romagnoli & Francesco Zammori, 2021. "Defining accurate delivery dates in make to order job-shops managed by workload control," Flexible Services and Manufacturing Journal, Springer, vol. 33(4), pages 956-991, December.
    20. Michael Freeman & Susan Robinson & Stefan Scholtes, 2021. "Gatekeeping, Fast and Slow: An Empirical Study of Referral Errors in the Emergency Department," Management Science, INFORMS, vol. 67(7), pages 4209-4232, July.

    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:ormnsc:v:68:y:2022:i:4:p:2842-2859. 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.