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.
Mixture models for consumers' preferences in healthcare / Capecchi, S.; Meleddu, M.; Pulina, M.; Solinas, G.. - n. 1 2019:(2019), pp. 1-27.
Mixture models for consumers' preferences in healthcare
S. Capecchi
;
2019
Abstract
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.File | Dimensione | Formato | |
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Capecchi et al Crenos 19_01 Mixture models.pdf
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