IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v20y2019i6d10.1007_s10198-019-01036-3.html
   My bibliography  Save this article

Health state utilities associated with post-surgical Staphylococcus aureus infections

Author

Listed:
  • Louis S. Matza

    (Evidera)

  • Katherine J. Kim

    (Evidera)

  • Holly Yu

    (Pfizer Inc)

  • Katherine A. Belden

    (Thomas Jefferson University)

  • Antonia F. Chen

    (Harvard Medical School)

  • Mark Kurd

    (Thomas Jefferson University The Rothman Institute)

  • Bruce Y. Lee

    (Johns Hopkins University Bloomberg School of Public Health)

  • Jason Webb

    (Southmead Hospital)

Abstract

Introduction Surgical site infections (SSIs) are among the most common and potentially serious complications after surgery. Staphylococcus aureus is a virulent pathogen frequently identified as a cause of SSI. As vaccines and other infection control measures are developed to reduce SSI risk, cost-utility analyses (CUA) of these interventions are needed to inform resource allocation decisions. A recent systematic review found that available SSI utilities are of “questionable quality.” Therefore, the purpose of this study was to estimate the disutility (i.e., utility decrease) associated with SSIs. Methods In time trade-off interviews, general population participants in the UK (London, Edinburgh) valued health states drafted based on literature and clinician interviews. Health states described either joint or spine surgery, with or without an SSI. The utility difference between otherwise identical health states with and without the SSI represented the disutility associated with the SSI. Results A total of 201 participants completed interviews (50.2% female; mean age = 46.2 years). Mean (SD) utilities of health states describing joint and spine surgery without infections were 0.79 (0.23) and 0.78 (0.23). Disutilities of SSIs ranged from − 0.03 to − 0.32, depending on severity of the infection and subsequent medical interventions. All differences between corresponding health with and without SSIs were statistically significant (all p

Suggested Citation

  • Louis S. Matza & Katherine J. Kim & Holly Yu & Katherine A. Belden & Antonia F. Chen & Mark Kurd & Bruce Y. Lee & Jason Webb, 2019. "Health state utilities associated with post-surgical Staphylococcus aureus infections," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 819-827, August.
    • Handle: RePEc:spr:eujhec:v:20:y:2019:i:6:d:10.1007_s10198-019-01036-3
    DOI: 10.1007/s10198-019-01036-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-019-01036-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10198-019-01036-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. Dennis G. Fryback & Erik J. Dasbach & Ronald Klein & Barbara E.K. Klein & Norma Dorn & Kathy Peterson & Patrica A. Martin, 1993. "The Beaver Dam Health Outcomes study," Medical Decision Making, , vol. 13(2), pages 89-102, June.
    3. Torrance, George W., 1986. "Measurement of health state utilities for economic appraisal : A review," Journal of Health Economics, Elsevier, vol. 5(1), pages 1-30, March.
    4. Louis S. Matza & Kristina S. Boye & David H. Feeny & Lee Bowman & Joseph A. Johnston & Katie D. Stewart & Kelly McDaniel & Jessica Jordan, 2016. "The time horizon matters: results of an exploratory study varying the timeframe in time trade-off and standard gamble utility elicitation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 979-990, November.
    5. Louis Matza & Sandhya Sapra & John Dillon & Anupama Kalsekar & Evan Davies & Mary Devine & Jessica Jordan & Amanda Landrian & David Feeny, 2015. "Health state utilities associated with attributes of treatments for hepatitis C," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 1005-1018, December.
    6. Miriam Kuppermann & Stephen Shiboski & David Feeny & Eric P. Elkin & A. Eugene Washington, 1997. "Can Preference Scores for Discrete States Be Used to Derive Preference Scores for an Entire Path of Events?," Medical Decision Making, , vol. 17(1), pages 42-55, February.
    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. Stavros Petrou & Christine Hockley, 2005. "An investigation into the empirical validity of the EQ‐5D and SF‐6D based on hypothetical preferences in a general population," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1169-1189, November.
    2. Arthur Attema & Yvette Edelaar-Peeters & Matthijs Versteegh & Elly Stolk, 2013. "Time trade-off: one methodology, different methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 53-64, July.
    3. Kobelt, G., 2013. "Health Economics: An Introduction to Economic Evaluation," Monographs, Office of Health Economics, number 000004.
    4. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    5. José Mª Abellán & José Luis Pinto & Ildefonso Méndez & Xabier Badía, 2004. "A test of the predictive validity of non-linear QALY models using time trade-off utilities," Economics Working Papers 741, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Kristian Schultz Hansen & Lars Peter Østerdal, 2006. "Models of Quality‐Adjusted Life Years when Health Varies Over Time: Survey and Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 229-255, April.
    7. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    8. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2010. "Using a discrete choice experiment to estimate societal health state utility values," MPRA Paper 29933, University Library of Munich, Germany.
    9. Costa-Font, Montserrat & Costa-Font, Joan, 2009. "Heterogeneous 'adaptation' and 'income effects' across self-reported health distribution?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 574-580, August.
    10. K. Klose & S. Kreimeier & U. Tangermann & I. Aumann & K. Damm, 2016. "Patient- and person-reports on healthcare: preferences, outcomes, experiences, and satisfaction – an essay," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
    11. Louis S. Matza & Kristina S. Boye & David H. Feeny & Lee Bowman & Joseph A. Johnston & Katie D. Stewart & Kelly McDaniel & Jessica Jordan, 2016. "The time horizon matters: results of an exploratory study varying the timeframe in time trade-off and standard gamble utility elicitation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 979-990, November.
    12. J. Kirsch & A. McGuire, 2000. "Establishing health state valuations for disease specific states: an example from heart disease," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 149-158, March.
    13. Peter P. Wakker & Sylvia J. T. Jansen & Anne M. Stiggelbout, 2004. "Anchor Levels as a New Tool for the Theory and Measurement of Multiattribute Utility," Decision Analysis, INFORMS, vol. 1(4), pages 217-234, December.
    14. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    15. Matthijs M. Versteegh & Annemieke Leunis & Jolanda J. Luime & Mike Boggild & Carin A. Uyl-de Groot & Elly A. Stolk, 2012. "Mapping QLQ-C30, HAQ, and MSIS-29 on EQ-5D," Medical Decision Making, , vol. 32(4), pages 554-568, July.
    16. José‐María Abellán‐Perpiñán & José‐Luis Pinto‐Prades & Ildefonso Méndez‐Martínez & Xabier Badía‐Llach, 2006. "Towards a better QALY model," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 665-676, July.
    17. Burstrom, Kristina & Johannesson, Magnus & Diderichsen, Finn, 2001. "Health-related quality of life by disease and socio-economic group in the general population in Sweden," Health Policy, Elsevier, vol. 55(1), pages 51-69, January.
    18. Syed Mohiuddin & Katherine Payne, 2014. "Utility Values for Adults with Unipolar Depression," Medical Decision Making, , vol. 34(5), pages 666-685, July.
    19. Louis Matza & Karen Chung & Kate Brunt & John Brazier & Ada Braun & Brooke Currie & Andrew Palsgrove & Evan Davies & Jean-Jacques Body, 2014. "Health state utilities for skeletal-related events secondary to bone metastases," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(1), pages 7-18, January.
    20. Anne Spencer, 2000. "Testing the Additive Independence Assumption in the QALY Model," Working Papers 427, Queen Mary University of London, School of Economics and Finance.

    More about this item

    Keywords

    Utility; Time trade-off; Surgical site infection; SSI; Surgery; Staphylococcus aureus;
    All these keywords.

    JEL classification:

    • I00 - Health, Education, and Welfare - - General - - - General

    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:eujhec:v:20:y:2019:i:6:d:10.1007_s10198-019-01036-3. 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 .

    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.