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Linking Process Quality and Resource Usage: An Empirical Analysis

Author

Listed:
  • Dimitrios Andritsos

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Christopher S. Tang

    (Anderson Graduate School of Management, UCLA - UCLA - University of California [Los Angeles] - UC - University of California)

Abstract

Motivated by an increasing adoption of evidence-based medical guidelines in the delivery of medical care, we examine whether increased adherence to such guidelines (typically referred to as higher process quality) is associated with reduced resource usage in the course of patient treatment. In this study, we develop a sample of US hospitals and use cardiac care as our context to empirically examine our questions. To measure a patient's resource usage, we use the total length of stay, which includes any additional inpatient stay necessitated by unplanned readmissions within thirty days after initial hospitalization. We find evidence that higher process quality, and more specifically its clinical (as opposed to its administrative) dimensions, are associated with a reduction in resource usage. Moreover, the standardization of care that is achieved via the implementation of medical guidelines, makes this effect more pronounced in less focused environments: higher process quality is more beneficial when the cardiac department's patient population is distributed across a wider range of medical conditions. We explore the implications of these findings for process-oriented pay-for-performance programs, which tie the reimbursement of hospitals to their adherence to evidence-based medical guidelines.

Suggested Citation

  • Dimitrios Andritsos & Christopher S. Tang, 2014. "Linking Process Quality and Resource Usage: An Empirical Analysis," Post-Print hal-01099628, HAL.
  • Handle: RePEc:hal:journl:hal-01099628
    DOI: 10.1111/poms.12249
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    Citations

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    Cited by:

    1. Claire Senot & Aravind Chandrasekaran & Peter T. Ward & Anita L. Tucker & Susan D. Moffatt-Bruce, 2016. "The Impact of Combining Conformance and Experiential Quality on Hospitals’ Readmissions and Cost Performance," Management Science, INFORMS, vol. 62(3), pages 829-848, March.
    2. Wang, Yiting & Chen, Yan & Wang, Jianqiang & Lao, Yizhen, 2023. "The impacts of medical insurance payment methods on medical bills and medical service quality: Evidence from Xiangtan, China," Journal of Business Research, Elsevier, vol. 169(C).
    3. 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.
    4. Phares, Jonathan & Dobrzykowski, David D. & Prohofsky, Jodi, 2021. "How policy is shaping the macro healthcare delivery supply chain: The emergence of a new tier of retail medical clinics," Business Horizons, Elsevier, vol. 64(3), pages 333-345.
    5. Seokjun Youn & Gregory R. Heim & Subodha Kumar & Chelliah Sriskandarajah, 2021. "Examining the Impacts of Clinical Practice Variation on Operational Performance," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 839-863, April.
    6. Suresh Muthulingam & Anupam Agrawal, 2016. "Does Quality Knowledge Spillover at Shared Suppliers? An Empirical Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 525-544, October.
    7. Vidya Mani & Suresh Muthulingam, 2019. "Does Learning from Inspections Affect Environmental Performance? Evidence from Unconventional Well Development in Pennsylvania," Service Science, INFORMS, vol. 21(1), pages 177-197, January.
    8. Yifan Jiao & Christopher S. Tang & Jingqi Wang, 2022. "An empirical study of play duration and in‐app purchase behavior in mobile games," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3435-3456, September.
    9. Ramkumar Janakiraman & Eunho Park & Emre M. Demirezen & Subodha Kumar, 2023. "The Effects of Health Information Exchange Access on Healthcare Quality and Efficiency: An Empirical Investigation," Management Science, INFORMS, vol. 69(2), pages 791-811, February.
    10. Gerald Oeser & Pietro Romano, 2021. "Exploring risk pooling in hospitals to reduce demand and lead time uncertainty," Operations Management Research, Springer, vol. 14(1), pages 78-94, June.
    11. R. K. Jha & B. S. Sahay & P. Charan, 2016. "Healthcare operations management: a structured literature review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 259-279, September.
    12. 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.
    13. Robert J. Niewoehner & Bradley R. Staats, 2022. "Focusing Provider Attention: An Empirical Examination of Incentives and Feedback in Flu Vaccinations," Management Science, INFORMS, vol. 68(5), pages 3680-3702, May.
    14. Bradley R. Staats & Hengchen Dai & David Hofmann & Katherine L. Milkman, 2017. "Motivating Process Compliance Through Individual Electronic Monitoring: An Empirical Examination of Hand Hygiene in Healthcare," Management Science, INFORMS, vol. 63(5), pages 1563-1585, May.

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