Co-Designing a Quality of Life Survey for Mesothelioma: Qualitative and Cognitive Interview Findings

Clare O'Callaghan1, Joanne Brooker2, Sanuki Tissera3

  • 1Caritas Christi and Department of Psychosocial Cancer Care (C.O.C.), St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia; Department of Medicine (C.O.C.), St Vincent's Hospital, The University of Melbourne, Melbourne, Victoria, Australia.

Abstract

Insights

Patient-reported outcome (PRO) data from people with mesothelioma (PLM) is scarce. This study refined a PRO survey through PLM feedback, improving its relevance and usability for mesothelioma care.

Area of Science:

  • Oncology
  • Patient-Reported Outcomes
  • Qualitative Research

Background:

  • Mesothelioma is a rare, aggressive cancer with limited patient-reported outcome (PRO) data.
  • Understanding the experiences of people living with mesothelioma (PLM) is crucial for improving care.

Purpose of the Study:

  • To co-design and refine a PRO survey for the Victorian Mesothelioma Outcome Registry (VMOR).
  • To gather PLM perspectives on a draft quality of life and care survey.
  • To inform survey implementation by examining PLM's views and cognitive responses.

Main Methods:

  • A qualitative, co-designed study using semi-structured and "think aloud" interviews.
  • Incorporated the EORTC QLQ-C30, AHPEQS, and demographic/mesothelioma background questions.
  • Employed thematic and content analysis to evaluate survey views and cognitive processes.

Main Results:

  • PLM provided valuable feedback for survey refinement, suggesting content and layout improvements.
  • Free-text response options were recommended to reduce confusion and burden.
  • Some participants experienced cognitive challenges with specific survey questions, highlighting the need for clarity.

Conclusions:

  • A refined, co-designed VMOR PRO survey will provide patient-meaningful data for healthcare improvement.
  • Co-design and cognitive interviewing enhance survey validity.
  • PRO data collection should consider potential impacts of comorbidities and other external factors.