Mixture models for consumers’ preferences in healthcare
|Title||Mixture models for consumers’ preferences in healthcare|
|Publication Type||Working Paper|
|Year of Publication||2019|
|Authors||Capecchi, S, Meleddu, M, Pulina, M, Solinas, G|
|ISBN Number||978 88 68512 125|
|Keywords||CUB models, Decision drivers, Discrete modelling, E-health Preferences|
This paper aims to explain preferences behaviour by a sample of Sardinia residents with respect to combined choice of attributes related to cardiology services. The rating of proposed cards, containing a combination of several attributes to qualify the services, are examined in terms of intrinsic components and main drivers to determine the ordinal choice: location, screening mode, cost, waiting time for the visit and subjects’ covariates. The topic is relevant in telemedicine as experienced in Sardinia, a region with a mobility and a socio-economic disadvantage. The innovative approach allows for effective visual support to interpret and compare results and it is useful also to predict the respondents’ profile with respect to their individual characteristics. Empirical evidence supports policy interventions and suggests the usefulness of the implemented statistical procedure.