IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v17y2019i5d10.1007_s40258-019-00484-5.html
   My bibliography  Save this article

Developing Attributes and Attribute-Levels for a Discrete-Choice Experiment: An Example for Interventions of Impulsive Violent Offenders

Author

Listed:
  • Stella Nalukwago Settumba

    (University of New South Wales Sydney)

  • Marian Shanahan

    (University of New South Wales Sydney)

  • Tony Butler

    (University of New South Wales Sydney)

  • Peter Schofield

    (University of Newcastle)

  • Lise Lafferty

    (University of New South Wales Sydney)

  • Paul Simpson

    (University of New South Wales Sydney)

  • Georgina M. Chambers

    (Health University of New South Wales Sydney)

Abstract

Background Discrete-Choice Experiments (DCEs) are used to assess the strength of preferences and value of interventions, but researchers using the method have been criticised for failing to either undertake or publish the rigorous research for selecting the necessary attributes and levels. The aim of this study was to elicit attributes to inform a DCE to assess societal and offenders’ preferences for, and value of, treatment of impulsive-violent offenders. In doing so, this paper thoroughly describes the process and methods used in developing the DCE attributes and levels. Methods Four techniques were used to derive the final list of attributes and levels: (1) a narrative literature review to derive conceptual attributes; (2) seven focus group discussions (FGDs) comprising 25 participants including offenders and the general public and one in-depth interview with an offender’s family member to generate contextual attributes; (3) priority-setting methods of voting and ranking to indicate participants’ attributes of preference; (4) a Delphi method consensus exercise with 13 experts from the justice health space to generate the final list of attributes. Results Following the literature review and qualitative data collection, 23 attributes were refined to eight using the Delphi method. These were: treatment effectiveness, location and continuity of treatment, treatment type, treatment provider, voluntary participation, flexibility of appointments, treatment of co-morbidities and cost. Conclusion Society and offenders identified similar characteristics of treatment programs as being important. The mixed methods approach described in this manuscript contributes to the existing limited methodological literature in DCE attribute development.

Suggested Citation

  • Stella Nalukwago Settumba & Marian Shanahan & Tony Butler & Peter Schofield & Lise Lafferty & Paul Simpson & Georgina M. Chambers, 2019. "Developing Attributes and Attribute-Levels for a Discrete-Choice Experiment: An Example for Interventions of Impulsive Violent Offenders," Applied Health Economics and Health Policy, Springer, vol. 17(5), pages 683-705, October.
  • Handle: RePEc:spr:aphecp:v:17:y:2019:i:5:d:10.1007_s40258-019-00484-5
    DOI: 10.1007/s40258-019-00484-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-019-00484-5
    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/s40258-019-00484-5?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.

    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:aphecp:v:17:y:2019:i:5:d:10.1007_s40258-019-00484-5. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.