IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0215876.html
   My bibliography  Save this article

Productivity growth of skilled nursing facilities in the treatment of post-acute-care-intensive conditions

Author

Listed:
  • Jing Gu
  • Neeraj Sood
  • Abe Dunn
  • John Romley

Abstract

Background: Health care is believed to be suffered from a “cost disease,” in which a heavy reliance on labor limits opportunities for efficiencies stemming from technological improvement. Although recent evidence shows that U.S. hospitals have experienced a positive trend of productivity growth, skilled nursing facilities are relatively “low-tech” compared to hospitals, leading some to worry that productivity at skilled nursing facilities will lag behind the rest of the economy. Objective: To assess productivity growth among skilled nursing facilities (SNFs) in the treatment of conditions which frequently involve substantial post-acute care after hospital discharge. Methods: We constructed an analytic file with the records of Medicare beneficiaries that were discharged from acute-care hospitals to SNFs with stroke, hip fracture, or lower extremity joint replacement (LEJR) between 2006 and 2014. We populated each record for 90 days starting at the time of SNF admission, detailing for each day the treatment site and all associated costs. We used ordinary least square regression to estimate growth in SNF productivity, measured by the ratio of “high-quality SNF stays” to total treatment costs. The primary definition of a high-quality stay was a stay that ended with the return of the patient to the community within 90 days after SNF admission. We controlled for patient demographics and comorbidities in the regression analyses. Results: Our sample included 1,076,066 patient stays at 14,394 SNFs with LEJR, 315,546 patient stays at 14,154 SNFs with stroke, and 739,608 patient stays at 14,588 SNFs with hip fracture. SNFs improved their productivity in the treatment of patients with LEJR, stroke, and hip fracture by 1.1%, 2.2%, and 2.0% per year, respectively. That pattern was robust to a number of alternative specifications. Regressions on year dummies showed that the productivity first decreased and then increased, with a lowest point in 2011. Over the study period, quality continued to rise, but dominated by higher costs at first. Costs then started to decrease, driving productivity to grow. Conclusion: There has been substantial productivity growth in recent years among SNFs in the U.S. in the treatment of post-acute-care-intensive conditions.

Suggested Citation

  • Jing Gu & Neeraj Sood & Abe Dunn & John Romley, 2019. "Productivity growth of skilled nursing facilities in the treatment of post-acute-care-intensive conditions," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
  • Handle: RePEc:plo:pone00:0215876
    DOI: 10.1371/journal.pone.0215876
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215876
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0215876&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0215876?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. Christopher Afendulis & Daniel Kessler, 2011. "Vertical integration and optimal reimbursement policy," International Journal of Health Economics and Management, Springer, vol. 11(3), pages 165-179, September.
    2. Christopher Afendulis & Daniel Kessler, 2011. "Vertical Integration and Optimal Reimbursement Policy," NBER Working Papers 17316, National Bureau of Economic Research, Inc.
    3. Sood, Neeraj & Buntin, Melinda Beeuwkes & Escarce, José J., 2008. "Does how much and how you pay matter? Evidence from the inpatient rehabilitation care prospective payment system," Journal of Health Economics, Elsevier, vol. 27(4), pages 1046-1059, July.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Huckfeldt, Peter J. & Sood, Neeraj & Escarce, José J. & Grabowski, David C. & Newhouse, Joseph P., 2014. "Effects of Medicare payment reform: Evidence from the home health interim and prospective payment systems," Journal of Health Economics, Elsevier, vol. 34(C), pages 1-18.
    6. Liran Einav & Amy Finkelstein & Neale Mahoney, 2018. "Provider Incentives and Healthcare Costs: Evidence From Long‐Term Care Hospitals," Econometrica, Econometric Society, vol. 86(6), pages 2161-2219, November.
    7. Guy David & Evan Rawley & Daniel Polsky, 2013. "Integration and Task Allocation: Evidence from Patient Care," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 617-639, September.
    8. Claudio Lucarelli & Sean Nicholson, 2009. "A Quality-Adjusted Price Index for Colorectal Cancer Drugs," NBER Working Papers 15174, National Bureau of Economic Research, Inc.
    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. John A. Romley & Abe Dunn & Dana Goldman & Neeraj Sood, 2020. "Quantifying Productivity Growth in the Delivery of Important Episodes of Care within the Medicare Program Using Insurance Claims and Administrative Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 297-338, National Bureau of Economic Research, Inc.

    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. Timothy Bresnahan & Jonathan Levin, 2012. "Vertical Integration and Market Structure [The Handbook of Organizational Economics]," Introductory Chapters,, Princeton University Press.
    2. Sood, Neeraj & Alpert, Abby & Barnes, Kayleigh & Huckfeldt, Peter & Escarce, José J., 2017. "Effects of payment reform in more versus less competitive markets," Journal of Health Economics, Elsevier, vol. 51(C), pages 66-83.
    3. H. Frech & Christopher Whaley & Benjamin Handel & Liora Bowers & Carol Simon & Richard Scheffler, 2015. "Market Power, Transactions Costs, and the Entry of Accountable Care Organizations in Health Care," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(2), pages 167-193, September.
    4. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    5. Hyunjee Kim & Edward C. Norton, 2015. "Practice Patterns among Entrants and Incumbents in the Home Health Market after the Prospective Payment System was Implemented," Health Economics, John Wiley & Sons, Ltd., vol. 24(S1), pages 118-131, March.
    6. Santos, João & Domingos, Tiago & Sousa, Tânia & St. Aubyn, Miguel, 2016. "Does a small cost share reflect a negligible role for energy in economic production? Testing for aggregate production functions including capital, labor, and useful exergy through a cointegration-base," MPRA Paper 70850, University Library of Munich, Germany.
    7. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    8. Noel Uri, 2001. "Telecommunications in the United States and Changing Productive Efficiency," Journal of Industry, Competition and Trade, Springer, vol. 1(3), pages 321-335, September.
    9. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Technology-based total factor productivity and benchmarking: New proposals and an application," Omega, Elsevier, vol. 39(6), pages 608-619, December.
    10. Roy Allen & John Rehbeck, 2019. "Assessing Misspecification and Aggregation for Structured Preferences," University of Western Ontario, Departmental Research Report Series 20194, University of Western Ontario, Department of Economics.
    11. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    12. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    13. Barnabé Walheer, 2021. "A directional technology convergence index," Economics Bulletin, AccessEcon, vol. 41(3), pages 1330-1337.
    14. Redding, Stephen J. & Weinstein, David E., 2016. "A unified approach to estimating demand and welfare," LSE Research Online Documents on Economics 67681, London School of Economics and Political Science, LSE Library.
    15. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2018. "Global Firms," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 565-619, June.
    16. Esteban Lafuente & Jasmina Berbegal-Mirabent, 2019. "Assessing the productivity of technology transfer offices: an analysis of the relevance of aspiration performance and portfolio complexity," The Journal of Technology Transfer, Springer, vol. 44(3), pages 778-801, June.
    17. Fernández de Guevara, Juan & Maudos, Joaquín & Salvador, Carlos, 2021. "Effects of the degree of financial constraint and excessive indebtedness on firms’ investment decisions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    18. R, Sendhil & P, Ramasundaram & P, Anbukkani & Singh, Randhir & Sharma, Indu, 2015. "Trends and Determinants of Research Driven Total Factor Productivity in Indian Wheat," 2015 Conference, August 9-14, 2015, Milan, Italy 212491, International Association of Agricultural Economists.
    19. Diewert, W. Erwin & Fox, Kevin J., 2014. "Reference technology sets, Free Disposal Hulls and productivity decompositions," Economics Letters, Elsevier, vol. 122(2), pages 238-242.
    20. Hideyuki Mizobuchi, 2015. "Multiple Directions for Measuring Biased Technical Change," CEPA Working Papers Series WP092015, School of Economics, University of Queensland, Australia.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0215876. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.