IDEAS home Printed from https://ideas.repec.org/a/spr/hecrev/v6y2016i1d10.1186_s13561-016-0121-7.html
   My bibliography  Save this article

Heterogeneity in general practitioners’ preferences for quality improvement programs: a choice experiment and policy simulation in France

Author

Listed:
  • Mehdi Ammi

    (Carleton University)

  • Christine Peyron

    (Université de Bourgogne, CNRS UMR 6307, Inserm U 1200)

Abstract

Despite increasing popularity, quality improvement programs (QIP) have had modest and variable impacts on enhancing the quality of physician practice. We investigate the heterogeneity of physicians’ preferences as a potential explanation of these mixed results in France, where the national voluntary QIP – the CAPI – has been cancelled due to its unpopularity. We rely on a discrete choice experiment to elicit heterogeneity in physicians’ preferences for the financial and non-financial components of QIP. Using mixed and latent class logit models, results show that the two models should be used in concert to shed light on different aspects of the heterogeneity in preferences. In particular, the mixed logit demonstrates that heterogeneity in preferences is concentrated on the pay-for-performance component of the QIP, while the latent class model shows that physicians can be grouped in four homogeneous groups with specific preference patterns. Using policy simulation, we compare the French CAPI with other possible QIPs, and show that the majority of the physician subgroups modelled dislike the CAPI, while favouring a QIP using only non-financial interventions. We underline the importance of modelling preference heterogeneity in designing and implementing QIPs.

Suggested Citation

  • Mehdi Ammi & Christine Peyron, 2016. "Heterogeneity in general practitioners’ preferences for quality improvement programs: a choice experiment and policy simulation in France," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
  • Handle: RePEc:spr:hecrev:v:6:y:2016:i:1:d:10.1186_s13561-016-0121-7
    DOI: 10.1186/s13561-016-0121-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s13561-016-0121-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s13561-016-0121-7?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. Mylene Lagarde & Nonglak Pagaiya & Viroj Tangcharoensathian & Duane Blaauw, 2013. "One Size Does Not Fit All: Investigating Doctors' Stated Preference Heterogeneity For Job Incentives To Inform Policy In Thailand," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1452-1469, December.
    2. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    3. Scott, Anthony & Witt, Julia & Humphreys, John & Joyce, Catherine & Kalb, Guyonne & Jeon, Sung-Hee & McGrail, Matthew, 2013. "Getting doctors into the bush: General Practitioners' preferences for rural location," Social Science & Medicine, Elsevier, vol. 96(C), pages 33-44.
    4. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    5. Karen Gerard & Marian Shanahan & Jordan Louviere, 2003. "Using stated preference discrete choice modelling to inform health care decision-making: A pilot study of breast screening participation," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1073-1085.
    6. Vujicic, Marko & Shengelia, Bakhuti & Alfano, Marco & Thu, Ha Bui, 2011. "Physician shortages in rural Vietnam: Using a labor market approach to inform policy," Social Science & Medicine, Elsevier, vol. 73(7), pages 970-977.
    7. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    8. Fernando San Miguel & Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Irrational’ stated preferences: a quantitative and qualitative investigation," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 307-322, March.
    9. Dumont, Etienne & Fortin, Bernard & Jacquemet, Nicolas & Shearer, Bruce, 2008. "Physicians' multitasking and incentives: Empirical evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 27(6), pages 1436-1450, December.
    10. Mousquès, Julien & Bourgueil, Yann & Le Fur, Philippe & Yilmaz, Engin, 2010. "Effect of a French experiment of team work between general practitioners and nurses on efficacy and cost of type 2 diabetes patients care," Health Policy, Elsevier, vol. 98(2-3), pages 131-143, December.
    11. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, October.
    13. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.
    14. Lancsar, Emily & Louviere, Jordan & Flynn, Terry, 2007. "Several methods to investigate relative attribute impact in stated preference experiments," Social Science & Medicine, Elsevier, vol. 64(8), pages 1738-1753, April.
    15. Harris, Stewart B. & Green, Michael E. & Brown, Judith Belle & Roberts, Sharon & Russell, Grant & Fournie, Meghan & Webster-Bogaert, Susan & Paquette-Warren, Jann & Kotecha, Jyoti & Han, Han & Thind, , 2015. "Impact of a quality improvement program on primary healthcare in Canada: A mixed-method evaluation," Health Policy, Elsevier, vol. 119(4), pages 405-416.
    16. Jinhu Li & Jeremiah Hurley & Philip DeCicca & Gioia Buckley, 2014. "Physician Response To Pay‐For‐Performance: Evidence From A Natural Experiment," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 962-978, August.
    17. Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2011. "Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 930-944, August.
    18. Kjaer, Trine & Gyrd-Hansen, Dorte, 2008. "Preference heterogeneity and choice of cardiac rehabilitation program: Results from a discrete choice experiment," Health Policy, Elsevier, vol. 85(1), pages 124-132, January.
    19. Afschin Gandjour, 2010. "Investment in quality improvement: how to maximize the return," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 31-42, January.
    20. Trine Kjær & Mickael Bech & Dorte Gyrd‐Hansen & Kristian Hart‐Hansen, 2006. "Ordering effect and price sensitivity in discrete choice experiments: need we worry?," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1217-1228, November.
    21. Mandy Ryan & Verity Watson & Vikki Entwistle, 2009. "Rationalising the ‘irrational’: a think aloud study of discrete choice experiment responses," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 321-336, March.
    22. Jeff Bennett & Russell Blamey (ed.), 2001. "The Choice Modelling Approach to Environmental Valuation," Books, Edward Elgar Publishing, number 2028.
    23. Olivier Saint-Lary & Erik Bernard & Jonathan Sicsic & Isabelle Plu & Irène François-Purssell & Carine Franc, 2013. "Why Did Most French GPs Choose Not to Join the Voluntary National Pay-for-Performance Program?," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-7, 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. Ammi, Mehdi & Fortier, Grant, 2017. "The influence of welfare systems on pay-for-performance programs for general practitioners: A critical review," Social Science & Medicine, Elsevier, vol. 178(C), pages 157-166.
    2. Pestana, Joana & Frutuoso, João & Costa, Eduardo & Fonseca, Filipa, 2024. "Heterogeneity in physician's job preferences in a dual practice context – Evidence from a DCE," Social Science & Medicine, Elsevier, vol. 343(C).
    3. Mo Zhou & Winter Maxwell Thayer & John F. P. Bridges, 2018. "Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review," PharmacoEconomics, Springer, vol. 36(2), pages 175-187, February.

    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. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    2. Mandeville, Kate L. & Ulaya, Godwin & Lagarde, Mylène & Muula, Adamson S. & Dzowela, Titha & Hanson, Kara, 2016. "The use of specialty training to retain doctors in Malawi: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 169(C), pages 109-118.
    3. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    5. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    6. Jorien Veldwijk & Mattijs S Lambooij & Esther W de Bekker-Grob & Henriëtte A Smit & G Ardine de Wit, 2014. "The Effect of Including an Opt-Out Option in Discrete Choice Experiments," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    7. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    8. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2016. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 41-53.
    9. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    10. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    11. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    12. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    13. V. Meusel & E. Mentzakis & P. Baji & G. Fiorentini & F. Paolucci, 2023. "Priority setting in the German healthcare system: results from a discrete choice experiment," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 411-431, September.
    14. Chiara Seghieri & Alessandro Mengoni & Sabina Nuti, 2014. "Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 773-785, September.
    15. Abiiro, Gilbert Abotisem & Torbica, Aleksandra & Kwalamasa, Kassim & De Allegri, Manuela, 2014. "Eliciting community preferences for complementary micro health insurance: A discrete choice experiment in rural Malawi," Social Science & Medicine, Elsevier, vol. 120(C), pages 160-168.
    16. Mylene Lagarde & Nonglak Pagaiya & Viroj Tangcharoensathian & Duane Blaauw, 2013. "One Size Does Not Fit All: Investigating Doctors' Stated Preference Heterogeneity For Job Incentives To Inform Policy In Thailand," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1452-1469, December.
    17. Nicolas Krucien & Verity Watson & Mandy Ryan, 2017. "Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1-16, December.
    18. Genie, Mesfin G. & Ryan, Mandy & Krucien, Nicolas, 2021. "To pay or not to pay? Cost information processing in the valuation of publicly funded healthcare," Social Science & Medicine, Elsevier, vol. 276(C).
    19. Sever, Ivan & Verbič, Miroslav & Klarić Sever, Eva, 2019. "Cost attribute in health care DCEs: Just adding another attribute or a trigger of change in the stated preferences?," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    20. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.

    More about this item

    Keywords

    General practitioners; Discrete choice experiment; Mixed logit; Latent class logit; Quality improvement programs; Policy simulation;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:spr:hecrev:v:6:y:2016:i:1:d:10.1186_s13561-016-0121-7. 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/economics/journal/13561 .

    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.