Should we adjust health expenditure for age structure on health systems efficiency? A worldwide analysis

Data de publicação:

Autores da FMUP

  • João Vasco Nunes Dos Santos

    Autor

  • José Alberto Da Silva Freitas

    Autor

Participantes de fora da FMUP

  • Martins, FS
  • Pestana, J
  • Souza, J
  • Cylus, J

Unidades de investigação

Abstract

IntroductionHealthcare expenditure, a common input used in health systems efficiency analyses is affected by population age structure. However, while age structure is usually considered to adjust health system outputs, health expenditure and other inputs are seldom adjusted. We propose methods for adjusting Health Expenditure per Capita (HEpC) for population age structure on health system efficiency analyses and assess the goodness-of-fit, correlation, reliability and disagreement of different approaches.MethodsWe performed a worldwide (188 countries) cross-sectional study of efficiency in 2015, using a stochastic frontier analysis. As single outputs, healthy life expectancy (HALE) at birth and at 65 years-old were considered in different models. We developed five models using as inputs: (1) HEpC (unadjusted); (2) age-adjusted HEpC; (3) HEpC and the proportion of 0-14, 15-64 and 65 + years-old; (4) HEpC and 5-year age-groups; and (5) HEpC ageing index. Akaike and Bayesian information criteria, Spearman's rank correlation, intraclass correlation coefficient and information-based measure of disagreement were computed.ResultsModels 1 and 2 showed the highest correlation (0.981 and 0.986 for HALE at birth and HALE at 65 years-old, respectively) and reliability (0.986 and 0.988) and the lowest disagreement (0.011 and 0.014). Model 2, with age-adjusted HEpC, presented the lowest information criteria values.ConclusionsDespite different models showing good correlation and reliability and low disagreement, there was important variability when age structure is considered that cannot be disregarded. The age-adjusted HE model provided the best goodness-of-fit and was the closest option to the current standard.

Dados da publicação

ISSN/ISSNe:
2191-1991, 2191-1991

Health Economics Review  Springer Science and Business Media Deutschland GmbH

Tipo:
Article
Páginas:
-
Link para outro recurso:
www.scopus.com

Citações Recebidas na Scopus: 6

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Keywords

  • Health system; Efficiency; Age adjustment; Frontier models

Financiamento

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