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Measuring What Matters: Using Participatory Choice Modelling to Understand Preferences for Homelessness Integrated Care Cover

Measuring What Matters: Using Participatory Choice Modelling to Understand Preferences for Homelessness Integrated Care

Open Access
|Aug 2026

Figures & Tables

Table 1

DCE stages, critical steps we experienced, and how participatory research helped us address them.

DCE PHASE (REED JOHNSON ET AL., 2013)CRITICAL STEPS WE EXPERIENCEDHOW PARTICIPATORY RESEARCH HELPED US ADDRESS THEM
1. Attribute & level developmentIdentify relevant attributes and define realistic levels.Previous OOHC research informed the initial selection. Workshops/webinars with service providers (Local Government Association, LGA, charities). Key: PPI stakeholder consultation on attributes and levels.
2. Questionnaire designDevelop a clear, accessible questionnaire; ensure understandable choice tasks.PPI stakeholder input on presentation, wording, and format. PPI review of drafts, feedback on clarity, and layout. Cognitive interviewing. Pilot testing (n = 88).
3. Data collectionRecruit a representative sample; administer effectively; provide support.Individuals with lived experience recruited from 10 sites (n = 300 enrolled, 112 collected and 108 suitable for analyses). Trained peer researchers supported respondents. Paper questionnaires.
4. Data analysis & interpretationAnalyse data; interpret results; and translate findings into recommendations.PPPIE stakeholder involvement in interpretation. PEH consultation on translating findings into recommendations.
5. Presentation & insights derivationEffectively communicate findings; derive actionable insights.Interactive dashboards (co-created with all PPPIE stakeholders). Videos and website for communication. Workshops to present findings, demonstrate visualisations, and inform decision-making. Iterative dashboard refinement.
Figure 1

Example of DCE choice.

Note: the list of service characteristics (attributes) and corresponding values (or levels) is presented in Appendix 1.

Table 2

Respondents’ characteristics (n = 108).

MEANSD
Age4912
%Number
Age categories
    20–2455
    25–2966
    30–3455
    35–391213
    40–441314
    45–491213
    50–541213
    55–591415
    60–641516
    65–6944
    70–7411
    75–8011
Gender*
    Male6973
    Female3135
Service received
    Pathway 15660
    Pathway 24448

[i] Note: Pathway 1 refers to “Take home and settle-in” support, commonly defined as Reablement, a short-term intervention aiming to help individuals regain independence at home following a hospital stay. Pathway 2 involves access to specialist bedded intermediate care or step-down housing, providing structured support for those who are not yet able to return home safely but do not require acute hospital care.

*Please note that nobody identified their gender in any other way.

Figure 2

Relative importance of intermediate care characteristics.

Note: This figure displays the marginal effects (%) of different intermediate care characteristics on individuals’ choices, derived from a DCE. These marginal effects quantify the relative importance of each attribute when PEH select a model of OOHC. For example, when looking at location: Rough Sleeping has the strongest negative marginal effect (~ –60%), indicating a very strong preference against this option; Own Flat/House is the most preferred location, showing the highest positive marginal effect (~ +20%).

DOI: https://doi.org/10.5334/ijic.9846 | Journal eISSN: 1568-4156
Language: English
Page range: 6 - 6
Submitted on: May 22, 2025
Accepted on: Jun 29, 2026
Published on: Aug 5, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Michela Tinelli, Gopika Rajeendar, Michelle Cornes, Jess Harris, Raphael Wittenberg, Michael Clark, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.