Investigating the validity of the EQ-HWB instrument across three caregiver populations
Wednesday 23 October, 12pm
This month we are delighted to welcome Dr Cate Bailey, Senior Research Fellow at Melbourne Health Economics, University of Melbourne, to present our next ISPOR NZ webinar: Investigating the validity of the EQ-HWB instrument across three caregiver populations.
The webinar will be held via Zoom at 12:00 on Wednesday 23 October. To register, please complete the form on this page.
About the speaker
Dr Cate Bailey is a Senior Research Fellow at Melbourne Health Economics, whose research focuses on economic evaluation in the health and social care sectors. Recent projects include the evaluation of the new EuroQol Health and Wellbeing (EQ-HWB) instrument in a range of caregiver populations, and using patient reported outcome measures in paediatric settings.
Dr Bailey has extensive experience in public health research, including lifestyle interventions during pregnancy, addressing maltreatment of children, and addressing disadvantage for children through early-education. Dr Bailey has PhDs in Health Economics and Forensic Psychology, and a Masters in Applied Statistics. Prior to a move to academia, Dr Bailey worked in Commonwealth (ABS) and State governments (Dept of Education) as a senior policy advisor.
Abstract
The EQ Health and Wellbeing Instrument (EQ-HWB) was designed as a broad, generic measure to assess impacts on health, social care, and carer-related quality-of-life. The full scale (EQ-HWB -25 items) and the short-form (EQ-HWB-S) 9 items, and there is now a published pilot UK value-set available. Evidence is growing on its use for caregivers. It is now important to determine instrument validity in a range of caregiver populations through analysis of the psychometric properties of the instrument.
In this talk, Dr Bailey will present information on the validity of the instrument across three caregiver groups: 1) caregivers/parents of children where families have experienced adverse life events, 2) parents of children with a range of physical and mental health conditions, 3) caregivers of people living with dementia. Quantitative analyses will include dimensionality and feasibility of the scale, known group validity and convergent validity analysis, test-retest reliability, and exploratory factor analysis. Content validity is assessed through two sets of qualitative data. Results highlight the use of the scale in these populations and how this evidence has been used to modify the measure.
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