The waiting times distribution of public hospitals using a GAMLSS approach: the case of Andalusia (Spain)
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 be...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | inglés |
| OAI Identifier: | oai:ebuah.uah.es:10017/61389 |
| Acceso en línea: | http://hdl.handle.net/10017/61389 https://dx.doi.org/10.38191/iirr-jorr.24.016 |
| Access Level: | acceso abierto |
| Palabra clave: | Model selection Waiting lists Waiting times GAIC GAMLSS Selección de modelo Listas de espera Tiempos de espera Economía Geografía Sociología Economics Geography Sociology |
| Sumario: | 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. |
|---|