IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/92101.html
   My bibliography  Save this paper

Demand for primary healthcare services in Greece based on general practice prescribing model

Author

Listed:
  • Pantelidis, Pantelis
  • Vozikis, Athanassios
  • Meggouli, Eirini

Abstract

Analyze the demand for general practitioners and estimate trends in the demand for health care services, mostly based on demographic and epidemiological development. We sought to project the cost and volume of prescribing in primary care. We used the data from the National Organization for the Provision of Primary Healthcare Services (EOPYY) to design a model based on the number of prescriptions issued to a patient visit. The prescriptions are grouped by patients' age, sex, place of residence and their diagnostic evaluation. We selected eleven conditions, which are identified by the codes from the International Classification of Diseases. The forecasting model is based on the negative binomial regression. Projections are made for drug expenditure based on data taken from the World Bank and analysis of current utilization trends. We project an increase in drug expenditure in 2021, although it is expected population decline. Older adults use more health services than younger people. It is noted that female have higher medical care service utilization than male. Greeks living in rural areas have less healthcare utilization rates than their urban counterparts.

Suggested Citation

  • Pantelidis, Pantelis & Vozikis, Athanassios & Meggouli, Eirini, 2019. "Demand for primary healthcare services in Greece based on general practice prescribing model," MPRA Paper 92101, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:92101
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/92101/1/MPRA_paper_92101.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roy Carr-Hill & Geoffrey Hardman & Stephen Martin & Stuart Peacock & Trevor Sheldon & Peter Smith, 1994. "A formula for distributing NHS revenues based on small area use of hospital beds," Working Papers 022cheop, Centre for Health Economics, University of York.
    2. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    3. Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489, September.
    4. Schulz, Erika & Coda Moscarola, Flavia & Golinowska, Stanisława & Radvansky, Marek & Geyer, Johannes, 2013. "Impact of Ageing on Curative Health Care Workforce in Selected EU Countries," EconStor Preprints 128601, ZBW - Leibniz Information Centre for Economics.
    Full references (including those not matched with items on IDEAS)

    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. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    2. Majo, M.C. & van Soest, A.H.O., 2011. "The Fixed-Effects Zero-Inflated Poisson Model with an Application to Health Care Utilization," Other publications TiSEM 68cf0f9b-fc68-4017-97a9-a, Tilburg University, School of Economics and Management.
    3. David Mayston, "undated". "Developing a Framework Theory for Assessing the Benefits of Careers Guidance," Discussion Papers 02/08, Department of Economics, University of York.
    4. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    5. Richard Blundell & Frank Windmeijer, 2000. "Identifying demand for health resources using waiting times information," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 465-474, September.
    6. Riithi, Alexander Njuguna & Irungu, Patrick & Munei , Kimpei, 2015. "Determinants Of Choice Of Alternative Livelihood Diversification Strategies In Solio Resettlement Scheme, Kenya," Dissertations and Theses 269714, University of Nairobi, Department of Agricultural Economics.
    7. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
    8. Mwololo, H. & Nzuma, J. & Ritho, C., 2018. "Is Agricultural Extension a Determinant of Farm Diversification - Evidence from Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277357, International Association of Agricultural Economists.
    9. Raul Caruso & Marco Di Domizio, 2013. "International hostility and aggressiveness on the soccer pitch: Evidence from European Championships and World Cups for the period 2000–2012," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 16(3), pages 262-273, September.
    10. Hossein Kavand & Marcel Voia, 2018. "Estimation of Health Care Demand and its Implication on Income Effects of Individuals," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Paul Makdissi & Robin C. Sickles & Michael Veall & Marcel-Cristia (ed.), Productivity and Inequality, pages 275-304, Springer.
    11. Bago d'Uva, Teresa & Jones, Andrew M. & van Doorslaer, Eddy, 2009. "Measurement of horizontal inequity in health care utilisation using European panel data," Journal of Health Economics, Elsevier, vol. 28(2), pages 280-289, March.
    12. Rolfe, John & Gregg, Daniel, 2012. "Valuing Beach Recreation Across a Regional Area: The Great Barrier Reef in Australia," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124433, Australian Agricultural and Resource Economics Society.
    13. Keitometsi Ncube & Charlie M. Shackleton & Brent M. Swallow & Wijaya Dassanayake, 2016. "Impacts of HIV / AIDS on food consumption and wild food use in rural South Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(6), pages 1135-1151, December.
    14. Donghwan Ki & Sugie Lee, 2019. "Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
    15. Alice M. Ellyson & Jevay Grooms & Alberto Ortega, 2022. "Flipping the script: The effects of opioid prescription monitoring on specialty‐specific provider behavior," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 297-341, February.
    16. Teresa Bago d'Uva, 2006. "Latent class models for utilisation of health care," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 329-343, April.
    17. Stuart Peacock & Peter Smith, 1995. "The resource allocation consequences of the new NHS needs formula," Working Papers 134chedp, Centre for Health Economics, University of York.
    18. Hensher, David A. & Wei, Edward & Liu, Wen & Balbontin, Camila, 2024. "Profiling future passenger transport initiatives to identify the growing role of active and micro-mobility modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    19. Annette Alstadsæter & Salvador Barrios & Gaetan Nicodeme & Agnieszka Maria Skonieczna & Antonio Vezzani, 2018. "Patent boxes design, patents location, and local R&D," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(93), pages 131-177.
    20. Lien, Hsien-Ming & Lu, Mingshan & Albert Ma, Ching-To & McGuire, Thomas G., 2010. "Progress and compliance in alcohol abuse treatment," Journal of Health Economics, Elsevier, vol. 29(2), pages 213-225, March.

    More about this item

    Keywords

    Primary Health Care; Health Demand model; Prescribing Indicators; Negative Binomial.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:pra:mprapa:92101. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.