Using discrete choice experiments to measure preferences for hard to observe choice attributes to inform health policy decisions.
Eline M van den Broek-AltenburgAdam AtherlyPublished in: Health economics review (2020)
This paper emphasizes that a carefully designed DCE and appropriate estimation methods can open up a new world of data regarding trade-offs patients and providers in healthcare are willing to make. It updates previous "how to" guide for DCE's for health services researchers and health economists who are not familiar with these methods or have been unwilling to use them and updates previous description of these methods with timely examples.
Keyphrases
- healthcare
- public health
- mental health
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- health information
- decision making
- prognostic factors
- magnetic resonance imaging
- peritoneal dialysis
- health promotion
- contrast enhanced
- risk assessment
- electronic health record
- social media
- deep learning
- artificial intelligence
- data analysis