IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v3y1994i1p47-56.html
   My bibliography  Save this article

Variations in general practice prescribing costs and implications for budget setting

Author

Listed:
  • Andrew T. Healey
  • Brian F. Yule
  • John P. Reid

Abstract

Indicative prescribing amounts, and the equivalent prescribing element of funds in the case of fundholding practices, are now an established part of UK general practice. This paper examines the implications of variations in GP prescribing behaviour for the determination of prescribing budgets. Using regression analysis, the extent to which variations in total practice prescribing costs can be explained by factors suggested for inclusion in a weighted capitation formula is established. The results indicate that 97% of the variation in practice prescribing costs can be explained by differences in practice list size, the proportion of patients aged 65 years and over, the proportion of patients living in ‘deprived areas’ and whether or not the practice qualifies for ‘inducement payments’. The implications of the results for budget setting are discussed. A resource allocation formula based on regression analysis of expenditures can be used to promote horizontal equity in terms of equal budgets for equal need. However, its implications for vertical equity and efficiency are more ambiguous.

Suggested Citation

  • Andrew T. Healey & Brian F. Yule & John P. Reid, 1994. "Variations in general practice prescribing costs and implications for budget setting," Health Economics, John Wiley & Sons, Ltd., vol. 3(1), pages 47-56, January.
    • Handle: RePEc:wly:hlthec:v:3:y:1994:i:1:p:47-56
    DOI: 10.1002/hec.4730030107
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4730030107
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.4730030107?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. Steele, R, 1981. "Marginal Met Need and Geographical Equity in Health Care," Scottish Journal of Political Economy, Scottish Economic Society, vol. 28(2), pages 186-195, June.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    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. Paraponaris, A. & Verger, P. & Desquins, B. & Villani, P. & Bouvenot, G. & Rochaix, L. & Gourheux, J. C. & Moatti, J. P. AU -, 2004. "Delivering generics without regulatory incentives?: Empirical evidence from French general practitioners about willingness to prescribe international non-proprietary names," Health Policy, Elsevier, vol. 70(1), pages 23-32, October.
    2. Tsiantou, Vasiliki & Moschandreas, Joanna & Bertsias, Antonis & Papadakaki, Maria & Saridaki, Aristoula & Agius, Dominic & Alper, Zuleyha & Faresjo, Tomas & Klimkova, Martina & Martinez, Luc & Samouti, 2015. "General Practitioners’ intention to prescribe and prescribing patterns in selected European settings: The OTCSOCIOMED project," Health Policy, Elsevier, vol. 119(9), pages 1265-1274.

    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. Jean-Paul Azam & Catherine Bonjean, 1995. "La formation du prix du riz : théorie et application au cas d'Antananarivo (Madagascar) ," Revue Économique, Programme National Persée, vol. 46(4), pages 1145-1166.
    2. Anjum, Zeba & Burke, Paul J. & Gerlagh, Reyer & Stern, David I., "undated". "Modeling the Emissions-Income Relationship Using Long-Run Growth Rates," Working Papers 249422, Australian National University, Centre for Climate Economics & Policy.
    3. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
    4. Caldara, Dario & Iacoviello, Matteo & Molligo, Patrick & Prestipino, Andrea & Raffo, Andrea, 2020. "The economic effects of trade policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 109(C), pages 38-59.
    5. Marijke Verpoorten & Lode Berlage, 2004. "Genocide and land scarcity: Can Rwandan rural households manage?," CSAE Working Paper Series 2004-15, Centre for the Study of African Economies, University of Oxford.
    6. Machado, Jose A. F. & Silva, J. M. C. Santos, 2000. "Glejser's test revisited," Journal of Econometrics, Elsevier, vol. 97(1), pages 189-202, July.
    7. Katarzyna Jabłońska, 2018. "Dealing With Heteroskedasticity Within The Modeling Of The Quality Of Life Of Older People," Statistics in Transition New Series, Polish Statistical Association, vol. 19(3), pages 423-452, September.
    8. Michael O'Connor Keefe & David Gallagher, 2014. "Does the effect of revealed private information on initial public offering (IPO) first trading day return differ by IPO market heat?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 921-964, September.
    9. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    10. Richard H. Spady & Sami Stouli, 2018. "Simultaneous Mean-Variance Regression," Bristol Economics Discussion Papers 18/697, School of Economics, University of Bristol, UK.
    11. Russell, Bill & Chowdhury, Rosen Azad, 2013. "Estimating United States Phillips curves with expectations consistent with the statistical process of inflation," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 24-38.
    12. Olivier Damette & Philippe Delacote, 2009. "The environmental resource curse hypothesis : the forest case [L'hypothèse de malédiction environnemental des ressources : le cas des forêts]," Working Papers hal-01189378, HAL.
    13. Joachim Zietz, 2006. "Detecting neglected parameter heterogeneity with Chow tests," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 369-374.
    14. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    15. Pedro Delicado & Juan Romo, 1998. "Constant coefficient tests for random coefficient regression," Economics Working Papers 329, Department of Economics and Business, Universitat Pompeu Fabra.
    16. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    17. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    18. Kendix, Michael & Walls, W.D., 2010. "Oil industry consolidation and refined product prices: Evidence from US wholesale gasoline terminals," Energy Policy, Elsevier, vol. 38(7), pages 3498-3507, July.
    19. Christopher F Baum & Arthur Lewbel, 2019. "Advice on using heteroskedasticity-based identification," Stata Journal, StataCorp LP, vol. 19(4), pages 757-767, December.
    20. Seren Firat & Esat Dasdemir, 2021. "Application of Quantity Theory of Money in Cryptocurrencies: Example of Bitcoin and the Impact of Covid-19," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(1), pages 81-102, June.

    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:3:y:1994:i:1:p:47-56. 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.