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The waiting times distribution of public hospitals using a GAMLSS approach: the case of Andalusia (Spain)

Author

Listed:
  • Caro, Angela

    (Universidad Carlos III de Madrid)

  • De Haro-García, Julia

    (Universidad de Málaga)

Abstract

Patients’ waiting times are caused by the imbalance between the available supply and the existing demand in the health sector. Exceeding maximum waiting times may worsen diseases and entail additional costs to public health systems. This paper studies the theoretical probability distribution that best fits the average waiting times for non-urgent surgeries and first outpatient consultations for Spanish public hospitals in the region of Andalusia. For doing this we apply Generalized Additive Models for Location, Scale and Shape, which cover a wide range of probability distributions. We propose the final selected models as a tool to be considered by health authorities for a better management of waiting times/lists.

Suggested Citation

  • Caro, Angela & De Haro-García, Julia, 2024. "The waiting times distribution of public hospitals using a GAMLSS approach: the case of Andalusia (Spain)," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 59, pages 167-191.
    • Handle: RePEc:ris:invreg:0536
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    More about this item

    Keywords

    Model selection; GAIC; GAMLSS; waiting lists; waiting times.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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