IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v340y2024ics027795362300816x.html
   My bibliography  Save this article

Stakeholders’ preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments

Author

Listed:
  • Vo, Linh K.
  • Allen, Michelle J.
  • Cunich, Michelle
  • Thillainadesan, Janani
  • McPhail, Steven M.
  • Sharma, Pakhi
  • Wallis, Shannon
  • McGowan, Kelly
  • Carter, Hannah E.

Abstract

This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers’ preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.

Suggested Citation

  • Vo, Linh K. & Allen, Michelle J. & Cunich, Michelle & Thillainadesan, Janani & McPhail, Steven M. & Sharma, Pakhi & Wallis, Shannon & McGowan, Kelly & Carter, Hannah E., 2024. "Stakeholders’ preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments," Social Science & Medicine, Elsevier, vol. 340(C).
    • Handle: RePEc:eee:socmed:v:340:y:2024:i:c:s027795362300816x
    DOI: 10.1016/j.socscimed.2023.116459
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027795362300816X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2023.116459?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. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    2. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.
    3. 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.
    4. Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
    5. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    6. Juan Marcos Gonzalez, 2019. "A Guide to Measuring and Interpreting Attribute Importance," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(3), pages 287-295, June.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    8. Daniela R. Bien & Marion Danner & Vera Vennedey & Daniele Civello & Silvia M. Evers & Mickaël Hiligsmann, 2017. "Patients’ Preferences for Outcome, Process and Cost Attributes in Cancer Treatment: A Systematic Review of Discrete Choice Experiments," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(5), pages 553-565, October.
    9. Tami L. Mark & Joffre Swait, 2004. "Using stated preference and revealed preference modeling to evaluate prescribing decisions," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 563-573, June.
    10. Versteegh, M.M. & Brouwer, W.B.F., 2016. "Patient and general public preferences for health states: A call to reconsider current guidelines," Social Science & Medicine, Elsevier, vol. 165(C), pages 66-74.
    11. James Buchanan & Laurence S. J. Roope & Liz Morrell & Koen B. Pouwels & Julie V. Robotham & Lucy Abel & Derrick W. Crook & Tim Peto & Christopher C. Butler & A. Sarah Walker & Sarah Wordsworth, 2021. "Preferences for Medical Consultations from Online Providers: Evidence from a Discrete Choice Experiment in the United Kingdom," Applied Health Economics and Health Policy, Springer, vol. 19(4), pages 521-535, July.
    12. Jieun Chang & Scott J. Savage & Donald M. Waldman, 2017. "Estimating Willingness to Pay for Online Health Services with Discrete-Choice Experiments," Applied Health Economics and Health Policy, Springer, vol. 15(4), pages 491-500, August.
    13. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
    14. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
    15. Daksh Choudhary & Megan Thomas & Kevin Pacheco-Barrios & Yuan Zhang & Pablo Alonso-Coello & Holger Schünemann & Glen Hazlewood, 2022. "Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(6), pages 629-639, November.
    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. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    3. Osborne, Matthew & Lambe, Fiona & Ran, Ylva & Dehmel, Naira & Tabacco, Giovanni Alberto & Balungira, Joshua & Pérez-Viana, Borja & Widmark, Erik & Holmlid, Stefan & Verschoor, Arjan, 2022. "Designing development interventions: The application of service design and discrete choice experiments in complex settings," World Development, Elsevier, vol. 158(C).
    4. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    5. 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).
    6. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.
    7. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    8. Brouwers, Jonas & Cox, Bianca & Van Wilder, Astrid & Claessens, Fien & Bruyneel, Luk & De Ridder, Dirk & Eeckloo, Kristof & Vanhaecht, Kris, 2021. "The future of hospital quality of care policy: A multi-stakeholder discrete choice experiment in Flanders, Belgium," Health Policy, Elsevier, vol. 125(12), pages 1565-1573.
    9. 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).
    10. Viberg Johansson, Jennifer & Shah, Nisha & Haraldsdóttir, Eik & Bentzen, Heidi Beate & Coy, Sarah & Kaye, Jane & Mascalzoni, Deborah & Veldwijk, Jorien, 2021. "Governance mechanisms for sharing of health data: An approach towards selecting attributes for complex discrete choice experiment studies," Technology in Society, Elsevier, vol. 66(C).
    11. 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).
    12. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    13. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    14. 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.
    15. Nikita Arora & Matthew Quaife & Kara Hanson & Mylene Lagarde & Dorka Woldesenbet & Abiy Seifu & Romain Crastes dit Sourd, 2022. "Discrete choice analysis of health worker job preferences in Ethiopia: Separating attribute non‐attendance from taste heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 806-819, May.
    16. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    17. Kaat de Corte & John Cairns & Richard Grieve, 2021. "Stated versus revealed preferences: An approach to reduce bias," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1095-1123, May.
    18. Cleland, Jennifer & Porteous, Terry & Ejebu, Ourega-Zoé & Ryan, Mandy & Skåtun, Diane, 2022. "Won't you stay just a little bit longer? A discrete choice experiment of UK doctors’ preferences for delaying retirement," Health Policy, Elsevier, vol. 126(1), pages 60-68.
    19. 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).
    20. Galina Williams & Irina Kinchin, 2023. "The application of discrete choice experiments eliciting young peoples’ preferences for healthcare: a systematic literature review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 987-998, August.

    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:socmed:v:340:y:2024:i:c:s027795362300816x. 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 (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.