IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v4y2003i3p232-238.html
   My bibliography  Save this article

The efficiency of treatment strategies of general practitioners

Author

Listed:
  • Matthias Staat

Abstract

No abstract is available for this item.

Suggested Citation

  • Matthias Staat, 2003. "The efficiency of treatment strategies of general practitioners," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 4(3), pages 232-238, September.
    • Handle: RePEc:spr:eujhec:v:4:y:2003:i:3:p:232-238
    DOI: 10.1007/s10198-003-0199-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10198-003-0199-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10198-003-0199-9?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Bruce Hollingsworth & P.J. Dawson & N. Maniadakis, 1999. "Efficiency measurement of health care: a review of non‐parametric methods and applications," Health Care Management Science, Springer, vol. 2(3), pages 161-172, July.
    4. Scott, Anthony, 2000. "Economics of general practice," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 22, pages 1175-1200, Elsevier.
    5. Yasar Ozcan, 1998. "Physician benchmarking: measuring variation in practice behavior in treatment of otitis media," Health Care Management Science, Springer, vol. 1(1), pages 5-17, September.
    6. Kneip, Alois & Park, Byeong U. & Simar, Léopold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(6), pages 783-793, December.
    7. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-323, July.
    8. Kittelsen,S.A.C., 1999. "Monte Carlo simulations of DEA efficiency measures and hypothesis tests," Memorandum 09/1999, Oslo University, Department of Economics.
    9. Jon Chilingerian & H. David Sherman, 1997. "DEA and primary care physician report cards: Deriving preferred practice cones from managed care service concepts and operating strategies," Annals of Operations Research, Springer, vol. 73(0), pages 35-66, October.
    10. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
    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. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    2. Thanassoulis, Emmanuel & Silva Portela, Maria C.A. & Graveney, Mike, 2014. "Using DEA to estimate potential savings at GP units at medical specialty level," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 38-48.
    3. Mareike Heimeshoff & Jonas Schreyögg & Lukas Kwietniewski, 2014. "Cost and technical efficiency of physician practices: a stochastic frontier approach using panel data," Health Care Management Science, Springer, vol. 17(2), pages 150-161, June.
    4. Stefan Felder & Harald Tauchmann, 2013. "Federal state differentials in the efficiency of health production in Germany: an artifact of spatial dependence?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 21-39, February.
    5. Thanassoulis, Emmanuel & Silva Portela, Maria C.A. & Graveney, Mike, 2012. "Estimating the scope for savings in referrals and drug prescription costs in the general Practice units of a UK primary care trust," European Journal of Operational Research, Elsevier, vol. 221(2), pages 432-444.
    6. Sørensen, Torben H. & Olsen, Kim R. & Gyrd-Hansen, Dorte, 2009. "Differences in general practice initiated expenditures across Danish local health authorities--A multilevel analysis," Health Policy, Elsevier, vol. 92(1), pages 35-42, September.
    7. Kim Olsen & Dorte Gyrd-Hansen & Torben Sørensen & Troels Kristensen & Peter Vedsted & Andrew Street, 2013. "Organisational determinants of production and efficiency in general practice: a population-based study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 267-276, April.

    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. Wheelock, David C. & Wilson, Paul W., 2008. "Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 209-225, July.
    2. Chumpitaz, Ruben & Kerstens, Kristiaan & Paparoidamis, Nicholas & Staat, Matthias, 2010. "Comparing efficiency across markets: An extension and critique of the methodology," European Journal of Operational Research, Elsevier, vol. 205(3), pages 719-728, September.
    3. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    4. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    5. Alexandr Gedranovich & Mykhaylo Salnykov, 2012. "Productivity analysis of Belarusian higher education system," BEROC Working Paper Series 16, Belarusian Economic Research and Outreach Center (BEROC).
    6. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    7. Filipe Amado, Carla Alexandra & Dyson, Robert G., 2008. "On comparing the performance of primary care providers," European Journal of Operational Research, Elsevier, vol. 185(3), pages 915-932, March.
    8. Angeliki Flokou & Vassilis Aletras & Dimitris Niakas, 2017. "Decomposition of potential efficiency gains from hospital mergers in Greece," Health Care Management Science, Springer, vol. 20(4), pages 467-484, December.
    9. de Sousa, Maria da Conceição Sampaio & Cribari-Neto, Francisco & Stosic, Borko D., 2005. "Explaining DEA Technical Efficiency Scores in an Outlier Corrected Environment: The Case of Public Services in Brazilian Municipalities," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    10. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    11. Tom Broekel & Thomas Brenner, 2007. "Measuring Regional Innovativeness - A Methodological Discussion and an Application to One German Industry," Jena Economics Research Papers 2007-065, Friedrich-Schiller-University Jena.
    12. Antonio Giuffrida & Hugh Gravelle, 2001. "Measuring performance in primary care: econometric analysis and DEA," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 163-175.
    13. Nahra, Tammie A. & Mendez, David & Alexander, Jeffrey A., 2009. "Employing super-efficiency analysis as an alternative to DEA: An application in outpatient substance abuse treatment," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1097-1106, August.
    14. Guccio, Calogero & Mignosa, Anna & Rizzo, Ilde, 2018. "Are public state libraries efficient? An empirical assessment using network Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 78-91.
    15. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    16. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    17. Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
    18. Ben Abdelkader, Ines & Hathroubi, Salem & Ben Jemaa, Mohamed Mekki, 2012. "Microfinance Institutions’ Efficiency in the MENA region: a Bootstrap-DEA approach," EconStor Preprints 69525, ZBW - Leibniz Information Centre for Economics.
    19. Qiwei Xie & Yuanyuan Li & Lizheng Wang & Chao Liu, 2018. "Improving discrimination in data envelopment analysis without losing information based on Renyi’s entropy," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1053-1068, December.
    20. Christian von Hirschhausen & Astrid Cullmann, 2008. "Next Stop: Restructuring?: A Nonparametric Efficiency Analysis of German Public Transport Companies," Discussion Papers of DIW Berlin 831, DIW Berlin, German Institute for Economic Research.

    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:spr:eujhec:v:4:y:2003:i:3:p:232-238. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.