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Examining the Impacts of Clinical Practice Variation on Operational Performance

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  • Seokjun Youn
  • Gregory R. Heim
  • Subodha Kumar
  • Chelliah Sriskandarajah

Abstract

This study explores whether and how lower variations in clinical practice relate to hospital operational performance. This relation is critical to the overall search for pathways that will allow the healthcare industry to bend the cost curve, implying significant implications for practice and regulators. We define practice variation as all variation not resulting from patient mix and construct a novel measure using inpatient discharge data for each patient cohort having an identical medical condition. Hospitals in our dataset show a broad practice variation spectrum. Using statistical process control (SPC) as a theoretical lens, we hypothesize the negative impacts of practice variation on operational performance. We also consider intervening impacts of hospital quality evaluations on the relationship. Analyzing data of six years from hospitals in NY and FL states using a dynamic panel system Generalized Method of Moments estimator, we find that higher practice variation relates to longer average patient length‐of‐stay and higher total cost per capita. This phenomenon is even stronger when a hospital provides services with higher quality in patient experience because such a hospital tends to provide more responsive care to patients, which is often resource‐intensive. By delving into granular dimensions of practice variation based on detailed charge data, we find that higher care‐delivery practice variation (i.e., the provision of healthcare) is directly associated with poor operational performance. We also find that pursuing higher quality measures may be harmful to some hospital operational performance measures as they have combined effects with the test‐ordering practice variation (i.e., detecting disease and monitoring its status). Taken together, these findings imply that careful attention to the two dimensions of practice variation and the nuanced joint relationship with quality measures may address the trade‐off between high quality and low cost, and provide room for improvement in practice, ultimately reducing waste in the healthcare industry. Our measure of practice variation also contributes since it enables researchers and managers to rigorously measure and visualize the status of hospitals’ practice variation linked to hospital operational performance.

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  • 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.
  • Handle: RePEc:bla:popmgt:v:30:y:2021:i:4:p:839-863
    DOI: 10.1111/poms.13256
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    as
    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Camelia M. Kuhnen & Alexandra Niessen, 2012. "Public Opinion and Executive Compensation," Management Science, INFORMS, vol. 58(7), pages 1249-1272, July.
    5. Aravind Chandrasekaran & Claire Senot & Kenneth K. Boyer, 2012. "Process Management Impact on Clinical and Experiential Quality: Managing Tensions Between Safe and Patient-Centered Healthcare," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 548-566, October.
    6. Karl E. Weick & Kathleen M. Sutcliffe, 2006. "Mindfulness and the Quality of Organizational Attention," Organization Science, INFORMS, vol. 17(4), pages 514-524, August.
    7. Li, L. X. & Benton, W. C., 1996. "Performance measurement criteria in health care organizations: Review and future research directions," European Journal of Operational Research, Elsevier, vol. 93(3), pages 449-468, September.
    8. Emre M. Demirezen & Subodha Kumar & Arun Sen, 2016. "Sustainability of Healthcare Information Exchanges: A Game-Theoretic Approach," Information Systems Research, INFORMS, vol. 27(2), pages 240-258, June.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Hemant K. Bhargava & Abhay Nath Mishra, 2014. "Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis," Management Science, INFORMS, vol. 60(10), pages 2543-2562, October.
    11. Dimitrios A. Andritsos & Christopher S. Tang, 2014. "Linking Process Quality and Resource Usage: An Empirical Analysis," Production and Operations Management, Production and Operations Management Society, vol. 23(12), pages 2163-2177, December.
    12. Gupta, Diwakar & Potthoff, Sandra J., 2016. "Matching Supply and Demand for Hospital Services," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 8(3-4), pages 131-274, May.
    13. Zi-Lin He & Poh-Kam Wong, 2004. "Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis," Organization Science, INFORMS, vol. 15(4), pages 481-494, August.
    14. Stephen Bond & Costas Meghir, 1994. "Dynamic Investment Models and the Firm's Financial Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 197-222.
    15. 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.
    16. Dimitrios Andritsos & Christopher S. Tang, 2014. "Linking Process Quality and Resource Usage: An Empirical Analysis," Post-Print hal-01099628, HAL.
    17. Min-Seok Pang & Ali Tafti & M. S. Krishnan, 2016. "Do CIO IT Budgets Explain Bigger or Smaller Governments? Theory and Evidence from U.S. State Governments," Management Science, INFORMS, vol. 62(4), pages 1020-1041, April.
    18. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    19. Qing Cao & Eric Gedajlovic & Hongping Zhang, 2009. "Unpacking Organizational Ambidexterity: Dimensions, Contingencies, and Synergistic Effects," Organization Science, INFORMS, vol. 20(4), pages 781-796, August.
    20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    21. Papanicolas, Irene & Woskie, Liana R. & Jha, Ashish K., 2018. "Health care spending in the United States and other high-income countries," LSE Research Online Documents on Economics 87362, London School of Economics and Political Science, LSE Library.
    22. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    23. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
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    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).

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