Read on Twitter
Hey Twitter! Proud to share my recent publication
in Health Qual Life Outcomes presenting Austrian normative data for the EORTC QLQ-C30
The paper was published on behalf of the @EORTC_QLG is available free of charge
See below for a quick summary
https://doi.org/10.1186/s12955-020-01524-8
in Health Qual Life Outcomes presenting Austrian normative data for the EORTC QLQ-C30The paper was published on behalf of the @EORTC_QLG is available free of charge
See below for a quick summary
https://doi.org/10.1186/s12955-020-01524-8
We used data from a European-wide normative data project led by @NolteGraham and take a specific look at the scores from the Austrian general population. But why would you need to look at data from the general population? The QLQ-C30 is a questionnaire for patients with cancer?
Good Q!
While the C30 is used in patients with cancer, data from the general population tells us how those patients compare with a pseudo baseline.
We can estimate, what their QOL was before the disease (often there is no data for this)
While the C30 is used in patients with cancer, data from the general population tells us how those patients compare with a pseudo baseline.
We can estimate, what their QOL was before the disease (often there is no data for this)
Useful in the survivorship context: Have patients returned to a population average QOL?
Main findings in our sample: Better functional health in men, also less symptoms (similar to most 
countries. Younger participants reported less pain, while older participants reported better emotional functioning.
countries. Younger participants reported less pain, while older participants reported better emotional functioning.
Bonus: Due to an anonymous reviewerâs remarks, we included an excel spreadsheet which lets you calculate expected normative data for any group or individual. Simply enter age, sex and presence of chronic health conditions and the formula calculates expected QOL based on our data:
Thank you, random reviewer!
