IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v19y2010i6p716-729.html
   My bibliography  Save this article

Do regional primary‐care organisations influence primary‐care performance? A dynamic panel estimation

Author

Listed:
  • Anthony Scott
  • William Coote

Abstract

The role of regional primary‐care organizations (PCOs) in health‐care systems is not well understood. This is the first study to attempt to isolate the effect of regional PCOs on primary‐care performance. We examine Divisions of General Practice in Australia, which were established in 1992. A unique Division‐level panel data set is used to examine the effect of Divisions, and their activities, on various aspects of primary‐care performance. Dynamic panel estimation is used to account for state dependence and the endogeneity of Divisions' activities. The results show that Divisions were more likely to have influenced general practice infrastructure than clinical performance in diabetes, asthma and cervical screening. The effect of specific Division activities, such as providing support for practice nurses and IT support, was not directly related to changes in the level of general practice performance. Specific support in the areas of diabetes and asthma was associated with general practice performance, but this was due to reverse causality and the effect of unobservable factors, rather than the direct effect of Divisions. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Anthony Scott & William Coote, 2010. "Do regional primary‐care organisations influence primary‐care performance? A dynamic panel estimation," Health Economics, John Wiley & Sons, Ltd., vol. 19(6), pages 716-729, June.
  • Handle: RePEc:wly:hlthec:v:19:y:2010:i:6:p:716-729
    DOI: 10.1002/hec.1509
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.1509
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.1509?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. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Demange,Gabrielle & Wooders,Myrna (ed.), 2005. "Group Formation in Economics," Cambridge Books, Cambridge University Press, number 9780521842716, October.
    3. Scott, A & Schurer, S & Jensen, P H & Sivey, P, 2008. "The Effects of Financial Incentives on Quality of Care: The Case of Diabetes," Health, Econometrics and Data Group (HEDG) Working Papers 08/15, HEDG, c/o Department of Economics, University of York.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Gabrielle Demange & Wooders Myrna, 2005. "Group Formation in Economics: Networks, Clubs and Coalitions," Post-Print halshs-00576778, HAL.
    6. Simoens, Steven & Scott, Anthony, 2005. "Voluntary or compulsory health care reform?: The case of primary care organisations in Scotland," Health Policy, Elsevier, vol. 72(3), pages 351-358, June.
    7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Jesmin, Shammima & Thind, Amardeep & Sarma, Sisira, 2012. "Does team-based primary health care improve patients’ perception of outcomes? Evidence from the 2007–08 Canadian Survey of Experiences with Primary Health," Health Policy, Elsevier, vol. 105(1), pages 71-83.
    2. Duchoslav, Jan & Cecchi, Francesco, 2019. "Do incentives matter when working for god? The impact of performance-based financing on faith-based healthcare in Uganda," World Development, Elsevier, vol. 113(C), pages 309-319.

    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. Nasr G. Elbahnasawy & Michael A. Ellis, 2016. "Economic Structure And Seigniorage: A Dynamic Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 940-965, April.
    2. Antonio Ruiz Porras, 2016. "La investigación econométrica mediante paneles de datos:historia, modelos y usos en México," Archivos Revista Economía y Política., Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca., vol. 24, pages 11-32, Julio.
    3. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    5. Panos, Sousounis, 2008. "State dependence in work-related training participation among British employees: A comparison of different random effects probit estimators," MPRA Paper 14261, University Library of Munich, Germany, revised Mar 2009.
    6. Vincenzo Bove & Leandro Elia, 2011. "Supplying peace: Participation in and troop contribution to peacekeeping missions," Journal of Peace Research, Peace Research Institute Oslo, vol. 48(6), pages 699-714, November.
    7. John Roy & Stefanie Schurer, 2013. "Getting Stuck In The Blues: Persistence Of Mental Health Problems In Australia," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1139-1157, September.
    8. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Documents de travail du Centre d'Economie de la Sorbonne 14062, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    10. Malik Shahzad Shabbir & Hummera Saleem & Muhammad Bilal Khan, 2021. "Impact of Internet Adoption and Mobile Phone Penetration on Corruption: Evidence from Selected Asia-Paciï¬ c Countries," Global Business Review, International Management Institute, vol. 22(4), pages 906-920, August.
    11. Lukáš Čechura & Zdeňka Žáková Kroupová, 2021. "Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use?," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    12. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    13. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    14. Roel Dom, 2017. "Semi-Autonomous Revenue Authorities in Sub-Saharan Africa: Silver Bullet or White Elephant," Discussion Papers 2017-01, University of Nottingham, CREDIT.
    15. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel data models," United Kingdom Stata Users' Group Meetings 2017 09, Stata Users Group.
    16. Milani, Carlo, 2014. "Borrower–lender distance and loan default rates: Macro evidence from the Italian local markets," Journal of Economics and Business, Elsevier, vol. 71(C), pages 1-21.
    17. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    18. Kazuhiko Hayakawa & Vanessa Smith & M. Hashem Pesaran, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with interactive effects," Cambridge Working Papers in Economics 1412, Faculty of Economics, University of Cambridge.
    19. Kanyam, Daniel A. & Kostandini, Genti & Ferreira, Susana, 2017. "The Mobile Phone Revolution: Have Mobile Phones and the Internet Reduced Corruption in Sub-Saharan Africa?," World Development, Elsevier, vol. 99(C), pages 271-284.
    20. Yusheng Kong & Takuriramunashe Famba & Grace Chituku-Dzimiro & Huaping Sun & Ophias Kurauone, 2020. "Corporate Governance Mechanisms, Ownership and Firm Value: Evidence from Listed Chinese Firms," IJFS, MDPI, vol. 8(2), pages 1-26, April.

    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:wly:hlthec:v:19:y:2010:i:6:p:716-729. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.