Applying Best-Worst scaling methodology to establish delivery preferences of a symptom supportive care intervention in patients with lung cancer

Alex Molassiotis, Richard Emsley, Darren Ashcroft, Ann Caress, Jackie Ellis, Richard Wagland, Chris D. Bailey, Jemma Haines, Mari Lloyd Williams, Paul Lorigan, Jaclyn Smith, Carol Tishelman, Fiona Blackhall

    Research output: Contribution to journalArticlepeer-review


    Background: Delivering a non-pharmacological symptom management intervention in patients with lung cancer is often challenging due to difficulties with recruitment, high attrition rates, high symptom burden, and other methodological problems. The aim of the present study was to elicit quantitative estimates of utility (benefit) associated with different attribute levels (delivery options) of a symptom management intervention in lung cancer patients. Methods: An application of Best-Worst scaling methodology was used. Effects (attributes) tested included the location of the intervention (home or hospital), type of trainer (health professional or trained volunteer), caregiver involvement or not, and intervention delivered individually or in groups of patients. Participants were asked to evaluate and compare their preferences (utilities) towards the different attribute levels within scenarios and select the pair of attribute levels that they consider to be furthest apart. Results: Eighty-seven patients with lung cancer participated. The most important preferences for an intervention included the location (being delivered at home) and delivered by a health care professional. The least important preference was the involvement of a caregiver. Gender had an effect on preferences, with females being less inclined than men to prefer to receive an intervention in the home than the hospital and less inclined than men to have no other patients present. Furthermore, older participants and those in advanced stages of their disease were less inclined to have no other patients present compared to younger participants and those with earlier stages of disease, respectively. Conclusion: Considering patient preferences is an important step in developing feasible, patient-centred, appropriate and methodologically rigorous interventions and this study provided indications of such patient preferences. © 2012 Elsevier Ireland Ltd.
    Original languageEnglish
    Pages (from-to)199-204
    Number of pages5
    JournalLung Cancer
    Issue number1
    Publication statusPublished - Jul 2012


    • Best Worst scaling
    • Discrete Choices Experiment
    • Intervention
    • Lung cancer
    • Preferences
    • Symptom management


    Dive into the research topics of 'Applying Best-Worst scaling methodology to establish delivery preferences of a symptom supportive care intervention in patients with lung cancer'. Together they form a unique fingerprint.

    Cite this