IDEAS home Printed from https://ideas.repec.org/a/spr/patien/v16y2023i5d10.1007_s40271-023-00640-z.html
   My bibliography  Save this article

Exploring the Preferences of the Australian Public for Antibiotic Treatments: A Discrete Choice Experiment

Author

Listed:
  • Chris Degeling

    (University of Wollongong)

  • Trent Yarwood

    (Cairns and Hinterland Hospital and Health Service
    James Cook University
    University of Queensland)

  • Alberto Nettel-Aguirre

    (University of Wollongong, NIASRA)

  • Judy Mullan

    (University of Wollongong)

  • Nina Reynolds

    (University of Wollongong)

  • Gang Chen

    (Monash University, Monash Business School)

Abstract

Objectives Identify Australian public preferences for antibiotic treatments in the context of antibiotic stewardship. Methods A discrete choice experiment (DCE) was conducted in Australia to investigate the importance of seven attributes associated with antibiotic treatments and related stewardship practices: contribution to antimicrobial resistance (AMR), treatment duration, side effects, days needed to recover, days before taking antibiotics, treatment failure and out-of-pocket costs. The DCE data were analysed using conditional logit, mixed logit and latent class conditional logit models. The relative importance of each attribute was calculated. Results A total of 1882 respondents completed the survey; the main study sample consist of 1658 respondents (mean age 48 years) who passed quality checks. All seven attributes significantly influenced respondents’ preferences for antibiotic treatments. Based on the designed attribute levels in the DCE, on average, out-of-pocket costs (32.8%) and contribution to antibiotic resistance (30.3%) were the most important attributes, followed by side effects (12.9%). Days before starting medication was least important (3.9%). Three latent classes were identified. Class 1 (including respondents who were more likely to be older and more health literate; 24.5%) gave contribution to antibiotic resistance greater importance in treatment preferences. Class 2 (including respondents more likely to report poorer health; 25.2%) gave out-of-pocket costs greater importance. The remaining (50.4%), who were generally healthier, perceived side effects as the most important attribute. Conclusions Despite concerted public awareness raising campaigns, our results suggest that several factors may influence the preferences of Australians when considering antibiotic use. However, for those more likely to be aware of the need to preserve antibiotics, out-of-pocket costs and limiting the contribution to antibiotic resistance are the dominant influence. Delays in starting treatment were not important for any latent class, suggesting public tolerance for this measure. These results could help inform strategies to promote prudent antibiotic stewardship.

Suggested Citation

  • Chris Degeling & Trent Yarwood & Alberto Nettel-Aguirre & Judy Mullan & Nina Reynolds & Gang Chen, 2023. "Exploring the Preferences of the Australian Public for Antibiotic Treatments: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(5), pages 555-567, September.
  • Handle: RePEc:spr:patien:v:16:y:2023:i:5:d:10.1007_s40271-023-00640-z
    DOI: 10.1007/s40271-023-00640-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40271-023-00640-z
    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/s40271-023-00640-z?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. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    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. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    2. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    3. Grzybowski, Lukasz & Hasbi, Maude & Liang, Julienne, 2018. "Transition from copper to fiber broadband: The role of connection speed and switching costs," Information Economics and Policy, Elsevier, vol. 42(C), pages 1-10.
    4. Carlos Omar Trejo-Pech & Roselia Servín-Juárez & Álvaro Reyes-Duarte, 2023. "What sets cooperative farmers apart from non-cooperative farmers? A transaction cost economics analysis of coffee farmers in Mexico," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-24, December.
    5. Óscar Brito Fernandes & Márta Péntek & Dionne Kringos & Niek Klazinga & László Gulácsi & Petra Baji, 2020. "Eliciting preferences for outpatient care experiences in Hungary: A discrete choice experiment with a national representative sample," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.
    6. Mahieu, Pierre-Alexandre & Andersson, Henrik & Beaumais, Olivier & Crastes dit Sourd, Romain & Hess, François-Charles & Wolff, François-Charles, 2017. "Stated preferences: a unique database composed of 1657 recent published articles in journals related to agriculture, environment, or health," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 98(3), November.
    7. Schipmann, Christin & Qaim, Matin, 2011. "Supply chain differentiation, contract agriculture, and farmers’ marketing preferences: The case of sweet pepper in Thailand," Food Policy, Elsevier, vol. 36(5), pages 667-677.
    8. Sagebiel, Julian & Glenk, Klaus & Meyerhoff, Jürgen, 2017. "Spatially explicit demand for afforestation," Forest Policy and Economics, Elsevier, vol. 78(C), pages 190-199.
    9. Carlos Barros, 2012. "Sustainable Tourism in Inhambane-Mozambique," CEsA Working Papers 105, CEsA - Centre for African and Development Studies.
    10. Schipmann, Christin & Qaim, Matin, 2011. "Supply chain differentiation, contract agriculture, and farmers’ marketing preferences: the case of sweet pepper in Thailand," GlobalFood Discussion Papers 108349, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    11. Chen, Gang & Ratcliffe, Julie & Milte, Rachel & Khadka, Jyoti & Kaambwa, Billingsley, 2021. "Quality of care experience in aged care: An Australia-Wide discrete choice experiment to elicit preference weights," Social Science & Medicine, Elsevier, vol. 289(C).
    12. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    13. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    14. Jean-Marc Blazy & Julie Subervie & Jacky Paul & François Causeret & Loic Guinde & Sarah Moulla & Alban Thomas & Jorge Sierra, 2020. "Ex ante assessment of the cost-effectiveness of Agri-Environmental Schemes promoting compost use to sequester carbon in soils in Guadeloupe," CEE-M Working Papers hal-02748634, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    15. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 212609, International Association of Agricultural Economists.
    16. Rimjha, Mihir & Hotle, Susan & Trani, Antonio & Hinze, Nicolas, 2021. "Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 506-524.
    17. Szabó, Andrea & Pham, Vinh, 2022. "Net neutrality and consumer demand in the video on-demand market," Information Economics and Policy, Elsevier, vol. 61(C).
    18. Leonid A. Serkov & Mikhail B. Petrov & Konstantin B. Kozhov, 2022. "Ñluster-based econometric analysis to study the heterogeneity of Russian regions," Journal of New Economy, Ural State University of Economics, vol. 22(4), pages 78-96, January.
    19. Matthew J. Baker, 2014. "Adaptive Markov chain Monte Carlo sampling and estimation in Mata," Stata Journal, StataCorp LP, vol. 14(3), pages 623-661, September.
    20. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.

    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:spr:patien:v:16:y:2023:i:5:d:10.1007_s40271-023-00640-z. 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.