IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v26y2006i1p9-17.html
   My bibliography  Save this article

An Alternative Approach to Reducing the Costs of Patient Care? A Controlled Trial of the Multi-Disciplinary Doctor-Nurse Practitioner (MDNP) Model

Author

Listed:
  • Susan L. Ettner

    (School of Medicine; School of Public Health; Division of General Internal Medicine and Health Services Research, UCLA School of Medicine, 911 Broxton Plaza, Room 106, Los Angeles, CA 90095; settner@mednet.ucla.edu)

  • Jenny Kotlerman

    (School of Nursing)

  • Abdelmonem Afifi

    (School of Public Health)

  • Sondra Vazirani

    (School of Medicine; University of California, Los Angeles; and the Department of Veteran Affairs, Los Angeles, CA)

  • Ron D. Hays
  • Martin Shapiro

    (School of Medicine; School of Public Health)

  • Marie Cowan

    (School of Nursing)

Abstract

Objective . Hospitals adapt to changing market conditions by exploring new care models that allow them to maintain high quality while containing costs. The authors examined the net cost savings associated with care management by teams of physicians and nurse practitioners, along with daily multidisciplinary rounds and postdischarge patient follow-up. Methods . One thousand two hundred and seven general medicine inpatients in an academic medical center were randomized to the intervention versus usual care. Intervention costs were compared to the difference in nonintervention costs, estimated by comparing changes between preadmission and postadmission in regression-adjusted costs for intervention versus usual care patients. Intervention costs were calculated by assigning hourly costs to the time spent by different providers on the intervention. Patient costs during the index hospital stay were estimated from administrative records and during the 4-month follow-up by weighting selfreported utilization by unit costs. Results . Intervention costs were $1187 per patient and associated with a significant $3331 reduction in nonintervention costs. About $1947 of the savings were realized during the initial hospital stay, with the remainder attributable to reductions in postdischarge service use. After adjustment for possible attrition bias, a reasonable estimate of the cost offset was $2165, for a net cost savings of $978 per patient. Because health outcomes were comparable for the 2 groups, the intervention was cost-effective. Conclusions . Wider adoption of multidisciplinary interventions in similar settings might be considered. The savings previously reported with hospitalist models may also be achievable with other models that focus on efficient inpatient care and appropriate postdischarge care.

Suggested Citation

  • Susan L. Ettner & Jenny Kotlerman & Abdelmonem Afifi & Sondra Vazirani & Ron D. Hays & Martin Shapiro & Marie Cowan, 2006. "An Alternative Approach to Reducing the Costs of Patient Care? A Controlled Trial of the Multi-Disciplinary Doctor-Nurse Practitioner (MDNP) Model," Medical Decision Making, , vol. 26(1), pages 9-17, January.
  • Handle: RePEc:sae:medema:v:26:y:2006:i:1:p:9-17
    DOI: 10.1177/0272989X05284107
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X05284107
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X05284107?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. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    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. McKinlay, John B. & Marceau, Lisa D., 2012. "From cottage industry to a dominant mode of primary care: Stages in the diffusion of a health care innovation (retail clinics)," Social Science & Medicine, Elsevier, vol. 75(6), pages 1134-1141.
    2. McKinlay, John & Marceau, Lisa, 2008. "When there is no doctor: Reasons for the disappearance of primary care physicians in the US during the early 21st century," Social Science & Medicine, Elsevier, vol. 67(10), pages 1481-1491, November.

    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. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    2. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    3. Stefan Boes & Michael Gerfin, 2016. "Does Full Insurance Increase the Demand for Health Care?," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1483-1496, November.
    4. Breinlich, Holger & Tucci, Alessandra, 2008. "Foreign Market Conditions and Export Performance: Evidence from Italian Firm-Level Data," Economics Discussion Papers 2715, University of Essex, Department of Economics.
    5. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    6. Nshakira-Rukundo, Emmanuel & Mussa, Essa Chanie & Gerber, Nicolas & von Braun, Joachim, 2020. "Impact of voluntary community-based health insurance on child stunting: Evidence from rural Uganda," Social Science & Medicine, Elsevier, vol. 245(C).
    7. Carole Roan Gresenz & Jeanette A. Rogowski & Jose Escarce, 2004. "Healthcare Markets, the Safety Net and Access to Care Among the Uninsured," NBER Working Papers 10799, National Bureau of Economic Research, Inc.
    8. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    9. R. Vincent Pohl, 2018. "Medicaid And The Labor Supply Of Single Mothers: Implications For Health Care Reform," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1283-1313, August.
    10. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    11. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    12. Massimiliano Bratti & Alfonso Miranda, 2010. "Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation," DoQSS Working Papers 10-05, Quantitative Social Science - UCL Social Research Institute, University College London, revised 10 Dec 2010.
    13. Marcel Bilger & Willard G. Manning, 2015. "Measuring Overfitting In Nonlinear Models: A New Method And An Application To Health Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 75-85, January.
    14. Lucien Gardiol & Pierre-Yves Geoffard & Chantal Grandchamp, 2005. "Separating selection and incentive effects in health insurance," PSE Working Papers halshs-00590713, HAL.
    15. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    16. Silviya Nikolova; & Arthur Sinko; & Matt Sutton;, 2012. "Do maximum waiting times guarantees change clinical priorities? A Conditional Density Estimation approach," Health, Econometrics and Data Group (HEDG) Working Papers 12/07, HEDG, c/o Department of Economics, University of York.
    17. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    18. García-Serrano, Carlos & Malo, Miguel A., 2009. "The impact of union direct voice on voluntary and involuntary absenteeism," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 372-383, March.
    19. Luiz Flavio Andrade & Thomas Rapp & Christine Sevilla-Dedieu, 2016. "Exploring the determinants of endocrinologist visits by patients with diabetes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(9), pages 1173-1184, December.
    20. Yujing Shen & Randall P. Ellis, 2002. "How profitable is risk selection? A comparison of four risk adjustment models," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 165-174, March.

    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:sae:medema:v:26:y:2006:i:1:p:9-17. 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: SAGE Publications (email available below). General contact details of provider: .

    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.