Exploring Undergraduate Students' Mental Well-Being, Mental Health Seeking Attitude, and the Impact of Socioeconomic Status: A Cross-Sectional Study from Malaysia.

Introduction: The future of our healthcare services highly depends on the current generation of health science students since they are the ones who will work in the healthcare setting. Ensuring their mental well-being is an utmost priority so that they can offer top-tier quality care and services to people in need. This study aimed to explore the prevalence of mental well-being and mental help-seeking attitude among undergraduate sciences students and the impact of socioeconomic status toward both variables.

Translation and adaptation of the EORTC QLQ-LC 29 for use in Chinese patients with lung cancer.

Background: The latest European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Lung Cancer 29 (QLQ-LC29) has been translated and validated in several languages but not yet in simplified Chinese. This study aimed to translate this questionnaire into simplified Chinese and adapt it for use in Chinese patients with lung cancer.

Methods: The translation and adaptation process followed the EORTC translation procedure, and consisted of eight steps, namely, translation preparation, forward translations, reconciled translation, back translations, a back translation report, proofreading, pilot testing, and finalisation.

Eliciting SF-6Dv2 health state utilities using an anchored best-worst scaling technique.

There is an increasing interest in using ordinal data collection methods, such as the best-worst scaling (BWS), to develop preference-based tariffs (value sets) for health-related quality of life instruments, yet the evidence on their performance is limited. This paper proposed to use an anchored BWS technique (in which the state of "death" served as an anchoring state) to directly develop a utility weight that lies on a scale anchored at 0 = death and 1 = full health for the Simplified Chinese version of the Short Form 6 Dimension version 2 (SF-6Dv2). An online panel from the general population of Mainland China completed an online survey between 20 July and 19 August, 2019 and 463 respondents were included in the main analysis.