Health expectancies in the European Union: same concept, different methods, different results

Data de publicação:

Autores da FMUP

  • João Vasco Nunes Dos Santos

    Autor

  • José Alberto Da Silva Freitas

    Autor

Participantes de fora da FMUP

  • Viana, J
  • Devleesschauwer, B
  • Haagsma, JA
  • Costa Santos, C.
  • Ricciardi, W

Unidades de investigação

Abstract

Background Healthy life expectancy (HLE) is a population health measure that combines mortality and morbidity, which can be calculated using different methods. In this study, we aimed to assess the correlation, reliability and (dis)agreement between two estimates monitored in the European Union (EU), that is, the European Commissions HLE based on self-perceived health (SPH-HLE) and the Institute for Health Metrics and Evaluations HLE based on disability weight (DW-HLE), by sex, and comparing these results with LE and proportion of life spent in good health (%GH). Methods We performed a retrospective study in the EU28 countries, between 2010 and 2017. The HLE methods differ in definition, measurement and valuation of health states. While SPH-HLE relies directly on one question, DW-HLE relies on epidemiological data adjusted for DW. Spearmans r, intraclass correlation coefficient, information-based measure of disagreement and Bland-Altman plots were used to assess reliability, correlation and disagreement in HLE resulting from both methods and in LE or %GH measured by both institutions. Results Correlation and reliability between SPH-HLE and DW-HLE were good (better for males), with low disagreement, and were even better for LE between both institutions. The HLE Bland-Altman plots suggest a variability range of approximately 6 years for both sexes, higher for females. There was also an increasing HLE difference between methods with higher average HLE for both sexes. Conclusion We showed wide variations between both methods with a clear and different high impact on female and male HLE, showing a tendency for countries with higher health expectancies to yield larger gaps between SPH-HLE and DW-HLE.

Dados da publicação

ISSN/ISSNe:
1470-2738, 0143-005X

Journal of Epidemiology and Community Health  BMJ Publishing Group

Tipo:
Article
Páginas:
764-771
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 2

Citações Recebidas na Scopus: 3

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Keywords

  • health expectancy; health status; self-rated health; biostatistics

Campos de estudo

Proyectos asociados

A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems

Investigador Principal: José Alberto da Silva Freitas

Estudo Clínico Académico . 2020

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