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Quality evaluation and preferences of healthcare services: the case of telemedicine in Sardinia

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  • Stefania Capecchi

    (University of Naples Federico II)

  • Marta Meleddu

    (University of Sassari)

  • Manuela Pulina

    (University of Sassari)

Abstract

This paper explores preferences towards cardiological e-health services, assessed on a representative quota sample of potential users in Sardinia, Italy. By a mixture model approach, it is possible to observe individual response behaviour expressed in terms of agreement and heterogeneity. While a substantial heterogeneity emerges for modes of consultation, the ranking of respondents’ preferences is clearly depicted for the location. The findings highlight a strong preference for a cardiological consultation at the family doctor and for the province of residence as a location. Notably, education and age are the covariates that most importantly affect choice processes.

Suggested Citation

  • Stefania Capecchi & Marta Meleddu & Manuela Pulina, 2019. "Quality evaluation and preferences of healthcare services: the case of telemedicine in Sardinia," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2339-2351, September.
  • Handle: RePEc:spr:qualqt:v:53:y:2019:i:5:d:10.1007_s11135-018-0743-4
    DOI: 10.1007/s11135-018-0743-4
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    References listed on IDEAS

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    1. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    2. D'Elia, Angela & Piccolo, Domenico, 2005. "A mixture model for preferences data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 917-934, June.
    3. Shu-Yun Yin & Kuan-Kai Huang & Jiunn-I Shieh & Yu-Huei Liu & Hsin-Hung Wu, 2016. "Telehealth services evaluation: a combination of SERVQUAL model and importance-performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 751-766, March.
    4. Stefania Capecchi & Domenico Piccolo, 2017. "Dealing with heterogeneity in ordinal responses," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2375-2393, September.
    5. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    6. Stefania Capecchi & Maria Iannario, 2016. "Gini heterogeneity index for detecting uncertainty in ordinal data surveys," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 223-232, August.
    7. Maria Iannario, 2012. "Modelling shelter choices in a class of mixture models for ordinal responses," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 1-22, March.
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    Cited by:

    1. M. Meleddu & M. Pulina & G. Solinas & S. Capecchi, 2019. "Mixture models for consumers' preferences in healthcare," Working Paper CRENoS 201901, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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