Evidence map›Paper›PMID 21699675›Full record

ArticlePopulation health metrics2011

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

Richard Heijink, Pieter van Baal, Mark Oppe, Xander Koolman, Gert Westert

Abstract read
In one paragraph

Article in Population health metrics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Cost-Effectiveness of Personalised Nutrition in Adults With Overweight and Obesity: PREVENTOMICS Studies in Poland and the UK.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Trial
  2. Optimizing presentation formats for SF-6Dv2 health status valuation: a qualitative study using cognitive interviews.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
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  8. Observational
  9. Changes in quality-adjusted life expectancy in Belgium, 2013 and 2018.Archives of public health = Archives belges de sante publique · 2022
    Article
  10. Review
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  12. Quality-Adjusted Life-Years Lost Due to COVID-19 Mortality: Methods and Application for The Netherlands.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022
    Article
  13. Belgian population norms for the EQ-5D-5L, 2018.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  14. Article
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  19. Quality-of-life: a many-splendored thing? Belgian population norms and 34 potential determinants explored by beta regression.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Richard HeijinkScientific centre for care and welfare (Tranzo), Tilburg University, Warandelaan 2, 5037 AB Tilburg, The Netherlands. richard.heijink@rivm.nl.
Pieter van Baal
Mark Oppe
Xander Koolman
Gert Westert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe validity, reliability and cross-country comparability of summary measures of population health (SMPH) have been persistently debated. In this debate, the measurement and valuation of nonfatal health outcomes have been defined as key issues. Our goal was to quantify and decompose international differences in health expectancy based on health-related quality of life (HRQoL). We focused on the impact of value set choice on cross-country variation.

methodsWe calculated Quality Adjusted Life Expectancy (QALE) at age 20 for 15 countries in which EQ-5D population surveys had been conducted. We applied the Sullivan approach to combine the EQ-5D based HRQoL data with life tables from the Human Mortality Database. Mean HRQoL by country-gender-age was estimated using a parametric model. We used nonparametric bootstrap techniques to compute confidence intervals. QALE was then compared across the six country-specific time trade-off value sets that were available. Finally, three counterfactual estimates were generated in order to assess the contribution of mortality, health states and health-state values to cross-country differences in QALE.

resultsQALE at age 20 ranged from 33 years in Armenia to almost 61 years in Japan, using the UK value set. The value sets of the other five countries generated different estimates, up to seven years higher. The relative impact of choosing a different value set differed across country-gender strata between 2% and 20%. In 50% of the country-gender strata the ranking changed by two or more positions across value sets. The decomposition demonstrated a varying impact of health states, health-state values, and mortality on QALE differences across countries.

conclusionsThe choice of the value set in SMPH may seriously affect cross-country comparisons of health expectancy, even across populations of similar levels of wealth and education. In our opinion, it is essential to get more insight into the drivers of differences in health-state values across populations. This will enhance the usefulness of health-expectancy measures.

Identifiers

PMID21699675
PMCPMC3146826

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.