BMC Health Services Research (Jan 2007)

Estimation of the real population and its impact on the utilisation of healthcare services in Mediterranean resort regions: an ecological study

  • Gutierrez Gonzalo E,
  • Cano Damian,
  • Martin Lydia,
  • Carrasco Manuel,
  • Cerda Joan,
  • Fernandez-Nieto Fidel,
  • Jimenez-Puente Alberto,
  • Ales Marco,
  • Jurado Enrique,
  • Gallofre Anna,
  • Rivas-Ruiz Francisco,
  • Pons Sergi,
  • Perea-Milla Emilio,
  • Macías Rafael,
  • Garcia-Ruiz Jose A

DOI
https://doi.org/10.1186/1472-6963-7-13
Journal volume & issue
Vol. 7, no. 1
p. 13

Abstract

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Abstract Background The demographic structure has a significant influence on the use of healthcare services, as does the size of the population denominators. Very few studies have been published on methods for estimating the real population such as tourist resorts. The lack of information about these problems means there is a corresponding lack of information about the behaviour of populational denominators (the floating population or tourist load) and the effect of this on the use of healthcare services. The objectives of the study were: a) To determine the Municipal Solid Waste (MSW) ratio, per person per day, among populations of known size; b) to estimate, by means of this ratio, the real population in an area where tourist numbers are very significant; and c) to determine the impact on the utilisation of hospital emergency healthcare services of the registered population, in comparison to the non-resident population, in two areas where tourist numbers are very significant. Methods An ecological study design was employed. We analysed the Healthcare Districts of the Costa del Sol and the island of Menorca. Both are Spanish territories in the Mediterranean region. Results In the two areas analysed, the correlation coefficient between the MSW ratio and admissions to hospital emergency departments exceeded 0.9, with p Conclusion The MSW indicator, which is both ecological and indirect, can be used to estimate the real population in areas where population levels vary significantly during the year. This parameter is of interest in planning and dimensioning the provision of healthcare services.