Literature DB >> 18949232

[Population aging effects on inpatient care expenditures: a disaggregated analysis for two Brazilian metropolitan areas].

Cláudia Koeppel Berenstein1, Simone Wajnman.   

Abstract

This paper examines the impact of changes in population age distribution on inpatient care expenditures in Brazil. The authors use data from two highly distinct metropolitan areas, Curitiba (Paraná State) and Belém (Paraná State), in order to determine to what extent current differences in expenditures are explained by differences in: (i) age distributions, (ii) age-specific expenditures (price effects), and (iii) utilization rates (rate effects). The study also looks at the consequences of future changes in age distribution by simulating each of the effects (age distribution, price, and rate) under the projected population age distribution for Brazil in 2050. The results show that only 13% of current differences in health expenditures in Curitiba and Belém are explained by differences in age distribution. Most of the difference is due to price effect (72%), probably because of large socioeconomic and epidemiological discrepancies in these two metropolitan areas. However, simulations for 2050 suggest that most future changes in inpatient care will be explained by population aging effects.

Mesh:

Year:  2008        PMID: 18949232     DOI: 10.1590/s0102-311x2008001000011

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  2 in total

1.  Health care utilization in the elderly Mexican population: expenditures and determinants.

Authors:  César González-González; Sergio Sánchez-García; Teresa Juárez-Cedillo; Oscar Rosas-Carrasco; Luis M Gutiérrez-Robledo; Carmen García-Peña
Journal:  BMC Public Health       Date:  2011-03-29       Impact factor: 3.295

2.  Suicide attempts in Brazil, 1998-2014: an ecological study.

Authors:  Davi Félix Martins Junior; Ridalva Martins Felzemburgh; Acácia Batista Dias; André C Caribé; S Bezerra-Filho; Ângela Miranda-Scippa
Journal:  BMC Public Health       Date:  2016-09-15       Impact factor: 3.295

  2 in total

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