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CQUEST resources

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  • Cancer Quality of Life Expert Service Team (CQUEST)
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      • arrow_forward CQUEST responds to the FDA's draft guidance on core PROs in cancer trials
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      • arrow_forward Best-practice assessment of patient-reported outcomes in cancer clinical trials
      • arrow_forward Calculating Norm-Based T-scores From Your EORTC QLQ-C30 and FACT-G Data
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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.

 

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. 

 

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.

 

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.

 

Quality of Life - Technical Service (QOL-TS) checklist (WD, 39KB)

A checklist for the inclusion of patient-reported outcome measures (PROMs) in new cancer clinical trial concepts.

 

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.

 

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. 

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. 

Acknowledgement of Country

UTS acknowledges the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation upon whose ancestral lands our campuses now stand. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands. 

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