IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v134y2023ics0168851023001306.html
   My bibliography  Save this article

Toward future triage regulations: Investigating preferred allocation principles of the German public

Author

Listed:
  • Sprengholz, Philipp
  • Felgendreff, Lisa
  • Buyx, Alena
  • Betsch, Cornelia

Abstract

When intensive care capacity is limited, triage may be required. Given that the German government started working on new triage legislation in 2022, the present study investigated the German public's preferences for intensive care allocation in two situations: ex-ante triage (where multiple patients compete for available resources) and ex-post triage (where admitting a new patient to intensive care means withdrawing treatment from another because ICU resources are depleted).

Suggested Citation

  • Sprengholz, Philipp & Felgendreff, Lisa & Buyx, Alena & Betsch, Cornelia, 2023. "Toward future triage regulations: Investigating preferred allocation principles of the German public," Health Policy, Elsevier, vol. 134(C).
    • Handle: RePEc:eee:hepoli:v:134:y:2023:i:c:s0168851023001306
    DOI: 10.1016/j.healthpol.2023.104845
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851023001306
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.healthpol.2023.104845?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. Hatzinger, Reinhold & Dittrich, Regina, 2012. "prefmod: An R Package for Modeling Preferences Based on Paired Comparisons, Rankings, or Ratings," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i10).
    2. Richard Norman & Suzanne Robinson & Helen Dickinson & Iestyn Williams & Elena Meshcheriakova & Kathleen Manipis & Matthew Anstey, 2021. "Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(3), pages 319-330, May.
    3. Carina Oedingen & Tim Bartling & Axel C. Mühlbacher & Harald Schrem & Christian Krauth, 2019. "Systematic Review of Public Preferences for the Allocation of Donor Organs for Transplantation: Principles of Distributive Justice," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(5), pages 475-489, October.
    4. Liyin Jin & Yunhui Huang & Yongheng Liang & Qiang Zhang, 2021. "Who Gets the Ventilator? Moral Decision Making Regarding Medical Resource Allocation in a Pandemic," Journal of the Association for Consumer Research, University of Chicago Press, vol. 6(1), pages 159-167.
    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. Irurozki, Ekhine & Calvo, Borja & Lozano, Jose A., 2016. "PerMallows: An R Package for Mallows and Generalized Mallows Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i12).
    2. Charles Crabtree & John B. Holbein & J. Quin Monson, 2022. "Patient traits shape health-care stakeholders’ choices on how to best allocate life-saving care," Nature Human Behaviour, Nature, vol. 6(2), pages 244-257, February.
    3. Robin L. Dillon & Vicki M. Bier & Richard Sheffield John & Abdullah Althenayyan, 2023. "Closing the Gap Between Decision Analysis and Policy Analysts Before the Next Pandemic," Decision Analysis, INFORMS, vol. 20(2), pages 109-132, June.
    4. repec:cup:judgdm:v:17:y:2022:i:6:p:1229-1254 is not listed on IDEAS
    5. Cristina Mollica & Luca Tardella, 2017. "Bayesian Plackett–Luce Mixture Models for Partially Ranked Data," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 442-458, June.
    6. Wickelmaier, Florian & Strobl, Carolin & Zeileis, Achim, 2012. "Psychoco: Psychometric Computing in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i01).
    7. Oedingen, Carina & Bartling, Tim & Schrem, Harald & Mühlbacher, Axel C. & Krauth, Christian, 2021. "Public preferences for the allocation of donor organs for transplantation: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 287(C).
    8. Turner, Heather & Firth, David, 2012. "Bradley-Terry Models in R: The BradleyTerry2 Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i09).
    9. Leonardo Egidi & Nicola Torelli, 2021. "Comparing Goal-Based and Result-Based Approaches in Modelling Football Outcomes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 801-813, August.
    10. Alessandro Barbiero, 2021. "Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 307-334, June.
    11. Williams, Iestyn & Kapiriri, Lydia & Vélez, Claudia-Marcela & Aguilera, Bernardo & Danis, Marion & Essue, Beverley & Goold, Susan & Noorulhuda, Mariam & Nouvet, Elysee & Razavi, Donya & Sandman, Lars, 2024. "How did European countries set health priorities in response to the COVID-19 threat? A comparative document analysis of 24 pandemic preparedness plans across the EURO region," Health Policy, Elsevier, vol. 141(C).
    12. Weichen Wu & Nynke Niezink & Brian Junker, 2022. "A diagnostic framework for the Bradley–Terry model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 461-484, December.
    13. Tessa Haesevoets & Alain Van Hiel & Mario Pandelaere & Dries H. Bostyn & David De Cremer, 2017. "How much compensation is too much? An investigation of the effectiveness of financial overcompensation as a means to enhance customer loyalty," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(2), pages 183-197, March.
    14. Heather L. Turner & Jacob Etten & David Firth & Ioannis Kosmidis, 2020. "Modelling rankings in R: the PlackettLuce package," Computational Statistics, Springer, vol. 35(3), pages 1027-1057, September.
    15. Rachael L. DiSantostefano & Fern Terris-Prestholt, 2021. "Using Societal Values to Inform Public Health Policy During the COVID-19 Pandemic: The Role of Health Preference Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(3), pages 303-307, May.
    16. Yu-Shan Shih & Kuang-Hsun Liu, 2019. "Regression trees for detecting preference patterns from rank data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(3), pages 683-702, September.
    17. Gerhard Tutz & Gunther Schauberger, 2015. "Extended ordered paired comparison models with application to football data from German Bundesliga," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(2), pages 209-227, April.
    18. repec:jdm:journl:v:17:y:2022:i:6:p:1229-1254 is not listed on IDEAS
    19. Amir Elalouf, 2022. "Israeli Medical Experts’ Knowledge, Attitudes, and Preferences in Allocating Donor Organs for Transplantation," IJERPH, MDPI, vol. 19(11), pages 1-17, June.
    20. Heusler, Anna & Osiander, Christopher & Schmidtke, Julia, 2022. "Essential for society but not equally deserving of preferential treatment? A discrete-choice experiment regarding COVID-19 healthcare," Social Science & Medicine, Elsevier, vol. 311(C).
    21. repec:cup:judgdm:v:12:y:2017:i:2:p:183-197 is not listed on IDEAS

    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:eee:hepoli:v:134:y:2023:i:c:s0168851023001306. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.