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    Examining the Impacts of Clinical Practice Variation on Operational Performance

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    Description:
    Final Accepted Manuscript
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    Author
    Youn, Seokjun
    Heim, Gregory R.
    Kumar, Subodha
    Sriskandarajah, Chelliah
    Affiliation
    Univ Arizona, Eller Coll Management, Dept Management Informat Syst
    Issue Date
    2020-09-18
    Keywords
    healthcare
    clinical practice variation
    operational performance
    process and experiential quality
    empirical operations
    
    Metadata
    Show full item record
    Publisher
    WILEY
    Citation
    Youn, S., et al. (2020). Examining the Impacts of Clinical Practice Variation on Operational Performance. Production and Operations Management. https://doi.org/10.1111/poms.13256
    Journal
    PRODUCTION AND OPERATIONS MANAGEMENT
    Rights
    Copyright © 2020 Production and Operations Management Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    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.
    Note
    12 month embargo; published online 18 September 2020
    ISSN
    1059-1478
    EISSN
    1937-5956
    DOI
    10.1111/poms.13256
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1111/poms.13256
    Scopus Count
    Collections
    UA Faculty Publications

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