Decomposing cross-country differences in quality adjusted life expectancy: the impact of value sets
2011

Cross-Country Differences in Quality Adjusted Life Expectancy

Sample size: 41562 publication Evidence: moderate

Author Information

Author(s): Heijink Richard, van Baal Pieter, Oppe Mark, Koolman Xander, Westert Gert

Primary Institution: Scientific centre for care and welfare (Tranzo), Tilburg University

Hypothesis

How does the choice of value sets impact international differences in health expectancy?

Conclusion

The choice of value set in summary measures of population health can significantly affect cross-country comparisons of health expectancy.

Supporting Evidence

  • QALE at age 20 ranged from 33 years in Armenia to almost 61 years in Japan.
  • The choice of value set can change health expectancy estimates by up to seven years.
  • Different value sets led to significant rank changes in health expectancy across countries.

Takeaway

This study looks at how different countries measure health and finds that the way they value health can change the results a lot.

Methodology

Quality Adjusted Life Expectancy (QALE) was calculated for 15 countries using EQ-5D survey data and life tables, applying the Sullivan approach and nonparametric bootstrap techniques.

Potential Biases

Potential biases may arise from differences in survey administration methods and response heterogeneity across populations.

Limitations

The study did not account for uncertainty in mortality and excluded certain population groups, such as those under 20 and over 85 years old.

Participant Demographics

The average age of respondents was 47, with 46% male, and varying education levels (31% primary, 57% secondary, 12% university).

Statistical Information

Confidence Interval

95%

Digital Object Identifier (DOI)

10.1186/1478-7954-9-17

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