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Cancer-specific utility instrument for health economic evaluations: A synopsis of the EORTC QLU-C10D user manual and current validity evidence.

Eur J Cancer

January 2025

Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria. Electronic address:

The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility - Core 10 Dimensions (QLU-C10D) adds a preference-based scoring algorithm to the EORTC measurement portfolio. It is built on the most widely used health-related quality of life (HRQoL) measure in oncology, the EORTC Quality of Life Questionnaire - Core 30 (QLQ-C30), allowing for the calculation of both HRQoL profiles and health utilities. This is an important advancement for integrating cancer-specific values into health economic evaluations and decision making, offering greater content validity and statistical power than some generic measures.

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Aim: To explore the perceptions and experiences of students raising concerns during pre-registration health and/or social care training in England.

Design: Systematic review.

Data Sources: MEDLINE, CINAHL, ERIC, PsycINFO and Education Research Complete were systematically searched for studies published between September 2015 and August 2024.

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The main purpose of this study was to examine the age-related changes in inhibitory control of 450 children at the ages of 7-8, 11-12, and 14-16 when controlling for working memory capacity (WMC) and processing speed to determine whether inhibition is an independent factor far beyond its possible reliance on the other two factors. This examination is important for several reasons. First, empirical evidence about age-related changes of inhibitory control is controversial.

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Objectives: Research questions about how and why health trends differ between populations require decisions about data analytic procedure. The objective was to document and compare the information returned from stratified, fixed effect and random effect approaches to data modelling for two prototypical descriptive research questions about comparative trends in toothbrushing.

Methods: Data included five cycles of the Health Behaviour in School-aged Children 2006 to 2022, which provided a sample of 980192 11- to 15- year olds from 35 countries.

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