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Thoughtful selection of PROMs
Conceptual frameworks for the selection of PROMs in clinical trials
This resource outlines the rationale of a conceptual framework, and provides a step-by-step guide for developing a framework for your clinical trial, complete with a template to assist in drafting your own.
Perspectives on using the modular approach
The modular approach is the selection of specific domains of interest from a multi-domain patient-reported outcome measure (PROM). We have published an article on the arguments for and against adopting this approach in PROMs.
The EORTC QLQ and FACIT MEasurement Suites COMPARED
A summary comparison of the EORTC QLQ and FACIT measurement suites to guide decisions for their inclusion in clinical trials.
Reducing Research Waste in (Health-Related) Quality of Life Research
Resources, recommendations and possible solutions for reducing research waste while maximising patient-related outcome (PRO) data in clinical trials.
Considering PROM burden
Perspectives on using the modular approach
The modular approach is the selection of specific domains of interest from a multi-domain patient-reported outcome measure (PROM). We have published an article on the arguments for and against adopting this approach in PROMs.
Translated PROMs
Patient Reported Outcome Measure translations and cross-cultural validations
We have developed a list of translations and cultural validations for patient-reported outcome measures (PROMs) that are commonly used in cancer clinical trials.
Administering PROMs
Participant Fact Sheet: Understanding questionnaires in cancer clinical trials
This fact sheet is to help participants of cancer trials better understand the purpose and importance of trial questionnaires.
Best-practice assessment of patient-reported outcomes in cancer clinical trials (for trial staff) (PDF, 316KB)
This resource is to support clinical trial staff administer quality of life questionnaires to patients.
Interpreting PROMs
Calculating Norm-Based T-scores From Your EORTC QLQ-C30 and FACT-G Data
We have developed a tool which calculates norm-based T-scores for the interpretation of clinical and research EORTC QLQ-C30 and FACT-G data.
ASM Posters
Using computer adaptive testing to assess quality of life in cancer clinical trials (PDF, 324KB)
This conference poster outlines how computer adaptive testing (CAT) can help select the most suitable question and reduce respondent burden.
Using Patient-Reported Outcome Measures in Cancer Clinical Trials: Perspectives For and Against a ‘Modular Approach’ (PDF, 404KB)
This conference poster outlines the pros and cons of using a 'modular approach' in clinical trials