Skip to main content

Advertisement

Log in

Pay-for-performance programs effectiveness in healthcare: the case of the end-stage renal disease quality incentive program

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

Abstract

This paper focuses on Medicare’s End-Stage Renal Disease Quality Incentive Program (QIP). QIP aims to promote high-quality services in outpatient dialysis facilities by tying their payments to their performance on pre-specified quality measures. In this paper, employing principal-agent theory, we examine the effectiveness of QIP by exploring the changes in various clinical/operational measures when they become a part of the program as a performance measure. We study five QIP quality measures; two are operational: hospitalization and readmission. And three others are clinical: blood transfusion, hypercalcemia, and dialysis adequacy. Overall, we observe a significant improvement in all QIP quality measures after being included in the program, except for readmission. We recommend adjusting the weight and redesigning the readmission measure for Medicare to incentivize providers to reduce readmission. We also discuss establishing care coordination and employing data-driven clinical decision support systems as opportunities for dialysis facilities to improve the care delivery process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Availability of data and materials

Part of the data used in this research is acquired from USRDS, and based on our data usage agreement, I am not allowed to share the data. The rest of the datasets are publicly available.

References

  1. Ajmal, F., Probst, J.C., Brooks, J.M., Hardin, J.W., Qureshi, Z., Jafar, T.H.: Freestanding dialysis facility quality incentive program scores and mortality among incident dialysis patients in the united states. Am. J. Kidney Dis. 75(2), 177–186 (2020)

    Article  PubMed  Google Scholar 

  2. Atasoy, H., Chen, P.-Y., Ganju, K.: The spillover effects of health it investments on regional healthcare costs. Manage. Sci. 64(6), 2515–2534 (2017)

    Article  Google Scholar 

  3. Batt, R., Bavafa, H., & Soltani, M. (2020). Quality improvement spillovers: Evidence from the hospital readmissions reduction program. Available at SSRN 3132770.

  4. Burns, L.R., Pauly, M.V.: Transformation of the health care industry: curb your enthusiasm? Milbank Q. 96(1), 57–109 (2018)

    Article  PubMed  PubMed Central  Google Scholar 

  5. Burtch, G., Carnahan, S., Greenwood, B.N.: Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Manage. Sci. 64(12), 5497–5520 (2018)

    Article  Google Scholar 

  6. Burwell, S.M.: Setting value-based payment goals—hhs efforts to improve us health care. N Engl J Med 372(10), 897–899 (2015)

    Article  CAS  PubMed  Google Scholar 

  7. Conrad, D.A.: The theory of value-based payment incentives and their application to health care. Health Serv. Res. 50, 2057–2089 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  8. Dad, T., Weiner, D.E.: Readmissions metrics in hemodialysis: Do the specifics matter? Am Soc Nephrol (2019). https://doi.org/10.1681/ASN.2018101033

    Article  Google Scholar 

  9. Dai, T., Tayur, S.R.: Healthcare operations management: a snapshot of emerging research. Manufacturing & Service Operations Management 22(5), 869–887 (2020)

    Article  Google Scholar 

  10. Diamond, L.H., Howard, A.D.: The esrd quality incentive program: the current limitations of evidence and data to develop measures, drive improvement, and incentivize outcomes. Adv. Chronic Kidney Dis. 23(6), 377–384 (2016)

    Article  PubMed  Google Scholar 

  11. Dreyfus, D., Nair, A., Talluri, S.: The impact of chain organization size on efficiency and quality of affiliated facilities—implications for multi-unit organizational forms. Prod Oper Manag (2020). https://doi.org/10.1111/poms.13177

    Article  Google Scholar 

  12. Eggers, P.W.: Medicare’s end stage renal disease program. Health Care Financ. Rev. 22(1), 55 (2000)

    PubMed  PubMed Central  Google Scholar 

  13. Erickson, K.F., Winkelmayer, W.C., Chertow, G.M., Bhattacharya, J.: Physician visits and 30-day hospital readmissions in patients receiving hemodialysis. J. Am. Soc. Nephrol. 25(9), 2079–2087 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  14. Fainman, E.Z., Kucukyazici, B.: Design of financial incentives and payment schemes in healthcare systems: a review. Soc-Econ Plan Sci. 72, 100901 (2020)

    Article  Google Scholar 

  15. Fichman, R.G., Kohli, R., Krishnan, R.: Editorial overview—the role of information systems in healthcare: current research and future trends. Inf. Syst. Res. 22(3), 419–428 (2011)

    Article  Google Scholar 

  16. Fishbane, S., Wish, J.B.: Quality measurement in wonderland: the curious case of a dialysis readmissions measure. Clin. J. Am. Soc. Nephrol. 11(1), 190–194 (2016)

    Article  CAS  PubMed  Google Scholar 

  17. Fisher, M., Olivares, M., Staats, B.R.: Why empirical research is good for operations management, and what is good empirical operations management? Manuf Serv Oper Manag (2019). https://doi.org/10.1287/msom.2019.0812

    Article  Google Scholar 

  18. Fuller, D.S., Robinson, B.M.: Facility practice variation to help understand the effects of public policy: insights from the dialysis outcomes and practice patterns study (dopps). Clin. J. Am. Soc. Nephrol. 12(1), 190–199 (2017)

    Article  PubMed  Google Scholar 

  19. Garg, A.X., Suri, R.S., Eggers, P., Finkelstein, F.O., Greene, T., Kimmel, P.L., Pierratos, A.: Patients receiving frequent hemodialysis have better health-related quality of life compared to patients receiving conventional hemodialysis. Kidney Int 91(3), 746–754 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  20. Goes, P.B.: Big data and is research. MIS Q. 38(3), iii–viii (2014)

    Google Scholar 

  21. Golestaneh, L.: Decreasing hospitalizations in patients on hemodialysis: time for a paradigm shift. Semin Dial (2018). https://doi.org/10.1111/sdi.12675

    Article  PubMed  Google Scholar 

  22. Greenwood, B.N., Agarwal, R.: Matching platforms and hiv incidence: an empirical investigation of race, gender, and socioeconomic status. manage. sci. 62(8), 2281–2303 (2016)

    Article  Google Scholar 

  23. Greenwood, B.N., Wattal, S.: show me the way to go home: an empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Q. 41(1), 163–187 (2017)

    Article  Google Scholar 

  24. Gupta, N., Wish, J.B.: Are dialysis facility quality incentive program scores associated with patient survival? Am J Kidney Dis (2019). https://doi.org/10.1053/j.ajkd.2019.09.013

    Article  PubMed  Google Scholar 

  25. Lee, S.J., Venkataraman, S., Heim, G.R., Roth, A.V., Chilingerian, J.: Impact of the value-based purchasing program on hospital operations outcomes: an econometric analysis. J. Oper. Manag. 66(1–2), 151–175 (2020)

    Article  Google Scholar 

  26. Lee, D.K., Zenios, S.A.: An evidence-based incentive system for medicare’s end-stage renal disease program. Manage. Sci. 58(6), 1092–1105 (2012)

    Article  Google Scholar 

  27. Lin, E., Bhattacharya, J., Chertow, G.M.: Prior hospitalization burden and the relatedness of 30-day readmissions in patients receiving hemodialysis. J. Am. Soc. Nephrol. 30(2), 323–335 (2019)

    Article  PubMed  PubMed Central  Google Scholar 

  28. Liu, J., Bharadwaj, A.: Drug abuse and the internet: evidence from craigslist. Manage. Sci. 66(5), 2040–2049 (2020)

    Article  Google Scholar 

  29. Mendelson, A., Kondo, K., Damberg, C., Low, A., Motúapuaka, M., Freeman, M., Kansagara, D.: The effects of pay-for-performance programs on health, health care use, and processes of care: a systematic review. Ann Intern Med 166(5), 341–353 (2017)

    Article  PubMed  Google Scholar 

  30. Mendu, M.L., Tummalapalli, S.L., Lentine, K.L., Erickson, K.F., Lew, S.Q., Liu, F., O’Neil, T.: Measuring quality in kidney care: an evaluation of existing quality metrics and approach to facilitating improvements in care delivery. J Am Soc Nephrol 31(3), 602–614 (2020)

    Article  PubMed  PubMed Central  Google Scholar 

  31. National Kidney Foundation.: KDOQI clinical practice guideline for hemodialysis adequacy. Am J Kidney Dis 66(5), 884–930 (2015)

    Article  Google Scholar 

  32. Nussbaum, S., McClellan, M., Metlay, G.: Principals for a framework for alternative payment models. JAMA 319(7), 653–654 (2018)

    Article  PubMed  Google Scholar 

  33. Piri, S.: Missing care: a framework to address the issue of frequent missing values the case of a clinical decision support system for parkinson’s disease. Decis Support Syst 136, 113339 (2020)

    Article  Google Scholar 

  34. Plantinga, L.C., King, L., Patzer, R.E., Lea, J.P., Burkart, J.M., Hockenberry, J.M., Jaar, B.G.: Early hospital readmission among hemodialysis patients in the united states is associated with subsequent mortality. Kidney Int. 92(4), 934–941 (2017)

    Article  PubMed  Google Scholar 

  35. Plantinga, L.C., Masud, T., Lea, J.P., Burkart, J.M., O’Donnell, C.M., Jaar, B.G.: Post-hospitalization dialysis facility processes of care and hospital readmissions among hemodialysis patients: a retrospective cohort study. BMC Nephrol. 19(1), 186 (2018)

    Article  PubMed  PubMed Central  Google Scholar 

  36. Pratt, J.W., Zeckhauser, R.J.: Principals and agents: an overview. Principals and agents: The structure of business 1, 1–36 (1985)

    CAS  Google Scholar 

  37. Puri, M., Rocholl, J., Steffen, S.: Global retail lending in the aftermath of the us financial crisis: distinguishing between supply and demand effects. J. Financ. Econ. 100(3), 556–578 (2011)

    Article  Google Scholar 

  38. Rau, J. (2013). Nearly 1500 hospitals penalized under medicare program rating quality. Kaiser Health News.

  39. Rivara, M.B., Ravel, V., Streja, E., Obi, Y., Soohoo, M., Cheung, A.K., Mehrotra, R.: Weekly standard kt/vurea and clinical outcomes in home and in-center hemodialysis. Clin J Am Soc Nephrol 13(3), 445–455 (2018)

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sappington, D.E.M.: Incentives in principal-agent relationships. J Econ Perspect 5(2), 45–66 (1991)

    Article  Google Scholar 

  41. Saran, R., Robinson, B., Abbott, K.C., Bragg-Gresham, J., Chen, X., Gipson, D., Jin, Y.: Us renal data system 2019 annual data report: epidemiology of kidney disease in the united states. Am J Kidney Dis. 75(1S1), A6 (2020)

    Article  PubMed  Google Scholar 

  42. Saunders, M.R., Lee, H., Chin, M.H.: Early winners and losers in dialysis center pay-for-performance. BMC Health Serv. Res. 17(1), 816 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  43. USRDS. (2018). USRDS annual data report.

  44. Uludag, K., Boz, G., & Gunal, A. I. (2020). Lower serum albumin level is associated with increased risk of hospital admission and length of stay in hospital among incident hemodialysis patients by using overdispersed model. Therapeutic Apheresis and Dialysis.

  45. United States Renal Data System. 2022 USRDS Annual Data Report: Epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2022

  46. Verberne, W.R., Das-Gupta, Z., Allegretti, A.S., Bart, H.A., Van Biesen, W., García-García, G., Jager, K.J.: Development of an international standard set of value-based outcome measures for patients with chronic kidney disease: a report of the international consortium for health outcomes measurement (ichom) ckd working group. Am J Kidney Dis 73(3), 372–384 (2019)

    Article  PubMed  Google Scholar 

  47. Wanchoo, R., Hazzan, A.D., Fishbane, S.: Update on the end-stage renal disease quality incentive program. Semin Dial (2016). https://doi.org/10.1111/sdi.12463

    Article  PubMed  Google Scholar 

  48. Weiner, D.E.: Assessing quality care in kidney disease: the double-edged sword versus the gordian knot. Semin Dial (2020). https://doi.org/10.1111/sdi.12851

    Article  PubMed  PubMed Central  Google Scholar 

  49. Weiner, D., Watnick, S.: The esrd quality incentive program—can we bridge the chasm? J. Am. Soc. Nephrol. 28(6), 1697–1706 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  50. White, J.: Can performance measurement make health care systems more sustainable? Or at least more efficient? OECD J Budg (2019). https://doi.org/10.1787/2b3d3059-en

    Article  Google Scholar 

  51. Wingard, R.L., McDougall, K., Axley, B., Howard, A., Armistead, N., Lynch, J.R., Maddux, F.W.: Right trac™ post-hospitalization care transitions program to reduce readmissions for hemodialysis patients. Am J Nephro 45(6), 532–539 (2017)

    Article  Google Scholar 

  52. Zuckerman, R.B., Sheingold, S.H., Orav, E.J., Ruhter, J., Epstein, A.M.: Readmissions, observation, and the hospital readmissions reduction program. N. Engl. J. Med. 374(16), 1543–1551 (2016)

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Part of the data used in this research is provided by the United States Renal Data System (USRDS) that is much appreciated.

Funding

No funding.

Author information

Authors and Affiliations

Authors

Contributions

Not applicable.

Corresponding author

Correspondence to Saeed Piri.

Ethics declarations

Conflict of interest

No financial or non-financial interests that are directly or indirectly related to the work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Disclaimer about the data used in “New Treatment and Control Groups Definition”: “The data reported here have been supplied by the United States Renal Data System (USRDS). The interpretation and reporting of these data are the responsibility of the author(s) and in no way should be seen as an official policy or interpretation of the U.S. government.”

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Piri, S. Pay-for-performance programs effectiveness in healthcare: the case of the end-stage renal disease quality incentive program. Eur J Health Econ 25, 221–236 (2024). https://doi.org/10.1007/s10198-023-01582-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-023-01582-x

Keywords

JEL Classification

Navigation