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, M.G.. - 2019-01:(2019), pp. 1-23.

Mixture models for consumers’ preferences in healthcare

Marta Meleddu;Manuela Pulina;Giuliana Solinas
2019-01-01

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.
2019
Inglese
Stefania Capecchi, Marta Meleddu, Manuela Pulina, Giuliana Solinas
2019-01
Mixture models for consumers’ preferences in healthcare
1
23
23
9788868512125
http://crenos.unica.it/crenos/sites/default/files/wp-19-01.pdf
CRENOS (Centro Ricerche Economiche Nord Sud)
Cagliari
ITALIA
E-health Preferences; Discrete modelling; Decision drivers; CUB models
No
info:eu-repo/semantics/bookPart
Capecchi, Stefania; Meleddu, Marta; Pulina, Manuela; Solinas, Maria Giuliana
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
4
268
Mixture models for consumers’ preferences in healthcare / Capecchi, S., Meleddu, M., Pulina, M., Solinas, M.G.. - 2019-01:(2019), pp. 1-23.
none
   La telemedicina: quantificazione della disponibilita` a pagare dei soggetti fruitori ed intermediari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/219628
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