IDEAS home Printed from https://ideas.repec.org/p/hhs/bergec/2012_010.html
   My bibliography  Save this paper

Hospital Capacity, Waiting Times and Sick Leave Duration - an Empirical Analysis of a Norwegian Health Policy Reform

Author

Listed:

Abstract

A health policy reform aiming to reduce hospital waiting times and sickness absences, the Faster Return to Work (FRW) scheme, is evaluated by creating treatment and control groups to facilitate causal interpretations of the empirical results. We use a unique dataset on individuals where we match hospital data with social security data and socio-economic characteristics. The main idea behind the reform is that long waiting times for hospital treatment lead to unnecessarily long periods of sick leave. We find that the waiting period for treatment or consultation for FRW patients is 12–15 days shorter than for people on sick leave on the regular waiting list. This reduction is only partially transformed into a reduction in the total length of sick leave. On average, the reduction is approximately eight days. There is a significant difference between surgical and non-surgical patients.

Suggested Citation

  • Aakvik, Arild & Holmås, Tor Helge & Kjerstad, Egil, 2012. "Hospital Capacity, Waiting Times and Sick Leave Duration - an Empirical Analysis of a Norwegian Health Policy Reform," Working Papers in Economics 10/12, University of Bergen, Department of Economics.
  • Handle: RePEc:hhs:bergec:2012_010
    as

    Download full text from publisher

    File URL: http://ekstern.filer.uib.no/svf/2012/WP.10.12.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diane Dawson & Hugh Gravelle & Rowena Jacobs & Stephen Martin & Peter C. Smith, 2007. "The effects of expanding patient choice of provider on waiting times: evidence from a policy experiment," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 113-128, February.
    2. Carol Propper, 1995. "The Disutility of Time Spent on the United Kingdom's National Health Service Waiting Lists," Journal of Human Resources, University of Wisconsin Press, vol. 30(4), pages 677-700.
    3. Aakvik, Arild & Holmas, Tor Helge & Kjerstad, Egil, 2003. "A low-key social insurance reform--effects of multidisciplinary outpatient treatment for back pain patients in Norway," Journal of Health Economics, Elsevier, vol. 22(5), pages 747-762, September.
    4. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    5. Siciliani, Luigi & Hurst, Jeremy, 2005. "Tackling excessive waiting times for elective surgery: a comparative analysis of policies in 12 OECD countries," Health Policy, Elsevier, vol. 72(2), pages 201-215, May.
    6. Markussen, Simen & Røed, Knut & Røgeberg, Ole J. & Gaure, Simen, 2011. "The anatomy of absenteeism," Journal of Health Economics, Elsevier, vol. 30(2), pages 277-292, March.
    7. Martin, Stephen & Smith, Peter C., 1999. "Rationing by waiting lists: an empirical investigation," Journal of Public Economics, Elsevier, vol. 71(1), pages 141-164, January.
    8. Aakvik, Arild & Holmås, Tor Helge & Kamrul Islam, M., 2010. "Does variation in general practitioner (GP) practice matter for the length of sick leave? A multilevel analysis based on Norwegian GP-patient data," Social Science & Medicine, Elsevier, vol. 70(10), pages 1590-1598, May.
    9. Lusine Lusinyan & Leo Bonato, 2007. "Work Absence in Europe," IMF Staff Papers, Palgrave Macmillan, vol. 54(3), pages 475-538, July.
    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. Aakvik, Arild & Holmås, Tor Helge & Kjerstad, Egil, 2015. "Prioritization and the elusive effect on welfare – A Norwegian health care reform revisited," Social Science & Medicine, Elsevier, vol. 128(C), pages 290-300.
    2. Karin Monstad & Lars Birger Engesæter & Birgitte Espehaug, 2014. "Waiting Time And Socioeconomic Status—An Individual‐Level Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 446-461, April.
    3. Huw Dixon & Luigi Siciliani, 2009. "Waiting Time Targets in Healthcare Markets: How Long Are We Waiting?," Discussion Papers 09/05, Department of Economics, University of York.
    4. Alexandre Marinho, 2004. "Um Estudo Sobre as Filas Para Internações e Para Transplantes no Sistema Único de Saúde Brasileiro," Discussion Papers 1055, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Erik Biørn & Simen Gaure & Simen Markussen & Knut Røed, 2013. "The rise in absenteeism: disentangling the impacts of cohort, age and time," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1585-1608, October.
    6. Mark Braverman & Jing Chen & Sampath Kannan, 2016. "Optimal Provision-After-Wait in Healthcare," Mathematics of Operations Research, INFORMS, vol. 41(1), pages 352-376, February.
    7. Haizhen Mou, 2012. "The political economy of public health expenditure and wait times in a public‐private mixed health care system," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(4), pages 1640-1666, November.
    8. Brekke, Kurt R. & Siciliani, Luigi & Straume, Odd Rune, 2008. "Competition and waiting times in hospital markets," Journal of Public Economics, Elsevier, vol. 92(7), pages 1607-1628, July.
    9. Siciliani, Luigi & Stanciole, Anderson & Jacobs, Rowena, 2009. "Do waiting times reduce hospital costs?," Journal of Health Economics, Elsevier, vol. 28(4), pages 771-780, July.
    10. Gutacker, Nils & Siciliani, Luigi & Cookson, Richard, 2016. "Waiting time prioritisation: Evidence from England," Social Science & Medicine, Elsevier, vol. 159(C), pages 140-151.
    11. Alexander Ahammer, 2018. "Physicians, sick leave certificates, and patients' subsequent employment outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 923-936, June.
    12. Domenico Lisi & Giacomo Pignataro, 2021. "A note on the trade‐off between waiting times and quality in a constrained hospital market," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 180-185, January.
    13. 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.
    14. Shimaa Elkomy & Graham Cookson, 2020. "Performance Management Strategy: Waiting Time in the English National Health Services," Public Organization Review, Springer, vol. 20(1), pages 95-112, March.
    15. Fabbri, Daniele & Monfardini, Chiara, 2009. "Rationing the public provision of healthcare in the presence of private supplements: Evidence from the Italian NHS," Journal of Health Economics, Elsevier, vol. 28(2), pages 290-304, March.
    16. Markussen, Simen & Røed, Knut, 2017. "The market for paid sick leave," Journal of Health Economics, Elsevier, vol. 55(C), pages 244-261.
    17. Elisabeth Fevang & Simen Markussen & Knut Røed, 2014. "The Sick Pay Trap," Journal of Labor Economics, University of Chicago Press, vol. 32(2), pages 305-336.
    18. Alexander Ahammer, 2016. "How Physicians Affect Patients’ Employment Outcomes Through Deciding on Sick Leave Durations," Economics working papers 2016-05, Department of Economics, Johannes Kepler University Linz, Austria.
    19. Granlund David & Wikström Magnus, 2016. "Public Provision and Cross-Border Health Care," Forum for Health Economics & Policy, De Gruyter, vol. 19(2), pages 157-177, December.
    20. Markussen, Simen & Mykletun, Arnstein & Røed, Knut, 2012. "The case for presenteeism — Evidence from Norway's sickness insurance program," Journal of Public Economics, Elsevier, vol. 96(11), pages 959-972.

    More about this item

    Keywords

    waiting times; length of sick leave; policy reform and econometric evaluation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:bergec:2012_010. 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: Kjell Erik Lommerud (email available below). General contact details of provider: https://edirc.repec.org/data/iouibno.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.