Using Eye-Tracking Technology with Older People in Memory Clinics to Investigate the Impact of Mild Cognitive Impairment on Choices for EQ-5D-5L Health States Preferences.
Kaiying WangChris BarrRichard NormanStacey GeorgeCraig WhiteheadJulie RatcliffePublished in: Applied health economics and health policy (2021)
This exploratory study provided important insights into the information processes adopted by older people with varying levels of cognitive functioning when choosing between alternative EQ-5D-5L health states of varying survival duration and specifically the relationships between cognitive capacity, task complexity and the extent of ANA. Recent advances in econometric modelling of health state valuation data have demonstrated the added value of capturing ANA information as this can be accounted for in the DCE data analysis, thereby improving the precision of model estimates. Eye-tracking technology can usefully inform the design, conduct and econometric modelling of DCEs, driving the inclusion of this rapidly growing population traditionally excluded from preference-elicitation studies of this nature.
Keyphrases
- mild cognitive impairment
- data analysis
- health information
- public health
- healthcare
- mental health
- primary care
- health promotion
- magnetic resonance imaging
- social media
- risk assessment
- magnetic resonance
- climate change
- machine learning
- electronic health record
- artificial intelligence
- decision making
- community dwelling
- case control