IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v7y1998i6p481-493.html
   My bibliography  Save this article

Estimating country‐specific cost‐effectiveness from multinational clinical trials

Author

Listed:
  • Richard J. Willke
  • Henry A. Glick
  • Daniel Polsky
  • Kevin Schulman

Abstract

Because costs and outcomes of medical treatments may vary from country to country in important ways, decision makers are increasingly interested in having data based on their own country's health care situations. This paper proposes methods for estimating country‐specific cost‐effectiveness ratios from data available from multinational clinical trials. It examines how clinical and economic outcomes interact when estimating treatment effects on cost and proposes empirical methods for capturing these interactions and incorporating them when making country‐specific estimates. We use data from a multinational phase III trial of tirilazad mesylate for the treatment of subarachnoid haemorrhage to illustrate these methods. Our findings suggest that it is possible for meaningful country‐by‐country differences to be found in such trial data. These differences can be useful in informing reimbursement, utilization, and other decisions taken at the country level. © 1998 John Wiley & Sons, Ltd.

Suggested Citation

  • Richard J. Willke & Henry A. Glick & Daniel Polsky & Kevin Schulman, 1998. "Estimating country‐specific cost‐effectiveness from multinational clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 7(6), pages 481-493, September.
    • Handle: RePEc:wly:hlthec:v:7:y:1998:i:6:p:481-493
    DOI: 10.1002/(SICI)1099-1050(199809)7:6<481::AID-HEC353>3.0.CO;2-K
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1099-1050(199809)7:63.0.CO;2-K
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1099-1050(199809)7:6<481::AID-HEC353>3.0.CO;2-K?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. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Michael Drummond, 1992. "Cost‐effectiveness guidelines for reimbursement of pharmaceuticals: Is economic evaluation ready for its enhanced status?," Health Economics, John Wiley & Sons, Ltd., vol. 1(2), pages 85-92, July.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    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. Andrea Manca & Nigel Rice & Mark J. Sculpher & Andrew H. Briggs, 2005. "Assessing generalisability by location in trial‐based cost‐effectiveness analysis: the use of multilevel models," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 471-485, May.
    2. Sarah Wordsworth & Anne Ludbrook & Fergus Caskey & Alison Macleod, 2005. "Collecting unit cost data in multicentre studies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 38-44, March.
    3. Thompson, Simon G. & Nixon, Richard M. & Grieve, Richard, 2006. "Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study," Journal of Health Economics, Elsevier, vol. 25(6), pages 1015-1028, November.
    4. Andrew Briggs, 2003. "Statistical Methods for Cost-Effectiveness Research: A Guide to Current Issues and Future Developments," Monograph 000485, Office of Health Economics.
    5. Richard Grieve & Richard Nixon & Simon G. Thompson & Charles Normand, 2005. "Using multilevel models for assessing the variability of multinational resource use and cost data," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 185-196, February.
    6. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.
    7. Andrew R. Willan & Eleanor M. Pinto & Bernie J. O'Brien & Padma Kaul & Ron Goeree & Larry Lynd & Paul W. Armstrong, 2005. "Country specific cost comparisons from multinational clinical trials using empirical Bayesian shrinkage estimation: the Canadian ASSENT‐3 economic analysis," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 327-338, April.
    8. Christopher J.L. Murray & David B. Evans & Arnab Acharya & Rob M.P.M. Baltussen, 2000. "Development of WHO guidelines on generalized cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 235-251, April.
    9. Koopmanschap, Marc A. & Touw, Karien C. R. & Rutten, Frans F. H., 2001. "Analysis of costs and cost-effectiveness in multinational trials," Health Policy, Elsevier, vol. 58(2), pages 175-186, November.
    10. Fitzner, Karen A. & Shortridge, K. F. & McGhee, S. M. & Hedley, A. J., 2001. "Cost-effectiveness study on influenza prevention in Hong Kong," Health Policy, Elsevier, vol. 56(3), pages 215-234, June.
    11. M. Raikou & A. Briggs & A. Gray & A. McGuire, 2000. "Centre‐specific or average unit costs in multi‐centre studies? Some theory and simulation," Health Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 191-198, April.
    12. Andrew R. Willan & Matthew E. Kowgier, 2008. "Cost‐effectiveness analysis of a multinational RCT with a binary measure of effectiveness and an interacting covariate," Health Economics, John Wiley & Sons, Ltd., vol. 17(7), pages 777-791, July.
    13. Sarah Wordsworth & Anne Ludbrook, 2005. "Comparing costing results in across country economic evaluations: the use of technology specific purchasing power parities," Health Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 93-99, January.
    14. Richard M. Nixon & Simon G. Thompson, 2005. "Methods for incorporating covariate adjustment, subgroup analysis and between‐centre differences into cost‐effectiveness evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1217-1229, December.
    15. Castillo-Riquelme, Marianela & Chalabi, Zaid & Lord, Joanne & Guhl, Felipe & Campbell-Lendrum, Diarmid & Davies, Clive & Fox-Rushby, Julia, 2008. "Modelling geographic variation in the cost-effectiveness of control policies for infectious vector diseases: The example of Chagas disease," Journal of Health Economics, Elsevier, vol. 27(2), pages 405-426, March.
    16. May Ee Png & Joanne Su-Yin Yoong, 2014. "Evaluating the Cost-Effectiveness of Lifestyle Modification versus Metformin Therapy for the Prevention of Diabetes in Singapore," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.

    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. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, Department of Economics and Law, Sapienza University of Roma.
    2. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    3. Cawley, John & Markowitz, Sara & Tauras, John, 2004. "Lighting up and slimming down: the effects of body weight and cigarette prices on adolescent smoking initiation," Journal of Health Economics, Elsevier, vol. 23(2), pages 293-311, March.
    4. Oded Palmon & Ben J. Sopranzetti, 2017. "On the relationship between the number of a broker’s real estate listings and transaction outcomes," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 65-89, July.
    5. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 0302, Economics Division, School of Social Sciences, University of Southampton.
    6. Andre Jungmittag & Paul Welfens, 2009. "Liberalization of EU telecommunications and trade: theory, gravity equation analysis and policy implications," International Economics and Economic Policy, Springer, vol. 6(1), pages 23-39, June.
    7. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    8. Robert Mulligan, 1996. "Export-import endogeneity in the context of the Thirlwall- Hussain model: an application of the Durbin-Wu-Hausman test incorporating a Monte Carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 3(4), pages 275-279.
    9. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    10. Maranzano, Paolo & Cerdeira Bento, Joao Paulo & Manera, Matteo, 2021. "The Role of Education and Income Inequality on Environmental Quality. A Panel Data Analysis of the EKC Hypothesis on OECD," FEEM Working Papers 310225, Fondazione Eni Enrico Mattei (FEEM).
    11. Balagtas, Joseph Valdes & Sumner, Daniel A., 2004. "Milk Marketing Orders And Milk Sanitation Regulation: Re-Evaulating Marketing Orders' Welfare Effects," 2004 Annual meeting, August 1-4, Denver, CO 20399, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Faiza Siddiqui & Yusheng Kong & Hyder Ali & Salma Naz, 2024. "Energy-Related Uncertainty and Idiosyncratic Return Volatility: Implications for Sustainable Investment Strategies in Chinese Firms," Sustainability, MDPI, vol. 16(17), pages 1-39, August.
    13. Aparicio, Sebastian & Audretsch, David & Noguera, Maria & Urbano, David, 2022. "Can female entrepreneurs boost social mobility in developing countries? An institutional analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. E. Michael Foster & Leonard Bickman, 1996. "An Evaluator's Guide To Detecting Attrition Problems," Evaluation Review, , vol. 20(6), pages 695-723, December.
    15. 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.
    16. Panayotis Kapopoulos & Sophia Lazaretou, 2007. "Corporate Ownership Structure and Firm Performance: evidence from Greek firms," Corporate Governance: An International Review, Wiley Blackwell, vol. 15(2), pages 144-158, March.
    17. Stewart, Hayden & Davis, David E., 2005. "Price Dispersion and Accessibility: A Case study of Fast Food," MPRA Paper 7617, University Library of Munich, Germany.
    18. Coën, Alain & Hübner, Georges, 2009. "Risk and performance estimation in hedge funds revisited: Evidence from errors in variables," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 112-125, January.
    19. 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.
    20. Desimone, Jeff, 2001. "The Effect of Cocaine Prices on Crime," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 627-643, October.

    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:7:y:1998:i:6:p:481-493. 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.