ArticlePloS one2024
From many voices, one question: Community co-design of a population-based qualitative cancer research study.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Interprofessional Perspectives on Communication Quality in the Neonatal Intensive Care Unit: A Qualitative Study.Advances in neonatal care : official journal of the National Association of Neonatal Nurses · 2026Article
- Practical Guidance for Preparing for and Conducting Focus Groups and Interviews with Community Members for Cancer Research.Health promotion practice · 2026Article
- "Your whole life is turned upside down": a reflexive thematic analysis identifying recommendations for designing and conducting qualitative research with cancer caregivers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Data sharing in cancer research: A qualitative study exploring community members' preferences.Cancer medicine · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study formed the development stage of a population-based survey aiming to: (i) understand the needs and experiences of people affected by cancer in Queensland, Australia and (ii) recruit a pool of participants for ongoing cancer survivorship research. The current study aimed to co-design and test a single qualitative survey question and study invitation materials to maximise acceptability of, and participation in, the survey and future research.
methodsFifty-two community members, including cancer survivors and caregivers, participated across 15 co-design workshops and 20 pretest interviews. During workshops, participants generated and refined ideas for an open-ended survey question and provided feedback on a study invitation letter. The use of a single, open-ended question aims to minimise participant burden while collecting rich information about needs and experiences. The research team then shortlisted the question ideas and revised study invitation materials based on workshop feedback. Next, using interviews, community members were asked to respond to a shortlisted question to test its interpretability and relevance and to review revised invitation materials. Content analysis of participant feedback was used to identify principles for designing study materials.
resultsPrinciples for designing qualitative survey questions were identified from participant feedback, including define the question timeframe and scope; provide reassurance that responses are valid and valued; and use simple wording. Principles for designing study invitation materials were also identified, including communicate empathy and sensitivity; facilitate reciprocal benefit; and include a 'human element'. The qualitative survey question and study invitation materials created using these principles were considered relevant and acceptable for use in a population-based survey.
conclusionsThrough community consultation and co-design, this study identified principles for designing qualitative data collection and invitation materials for use in cancer survivorship research. These principles can be applied by other researchers to develop study materials that are sensitive to the needs and preferences of community members.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.