Evidence map›Paper›PMID 18026624›Full record

ArticleBulletin of the World Health Organization2007

Measuring health inequalities between genders and age groups with realization of potential life years (RePLY).

Kam Ki Tang, Dennis Petrie, D S Prasada Rao

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Kam Ki TangSchool of Economics, University of Queensland, Brisbane, Queensland 4072, Australia. kk.tang@uq.edu.au
Dennis Petrie
D S Prasada Rao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe propose a new method to measure health inequalities caused by conditions amenable to policy intervention and use this to identify health differences between sexes and age groups.

methodsThe lowest observed mortality rates are used as a proxy of unavoidable mortality risks to develop a new measure of health outcome - realization of potential life years (RePLY). The RePLY distribution is used to measure avoidable health inequalities between sex and age groups respectively.

findingsUsing RePLY we find that even those countries with very high life expectancy at birth can have substantial health inequalities across different age groups. Also, gender inequality is more pronounced among those aged < 30. Among countries with a life expectancy < 60 years, there is a much larger prevalence of gender inequality against females; countries with life expectancy > 60 years have comparable numbers of cases of inequality among females and males. Finally, high avoidable health inequality is associated with low average income, high income inequality and high population fractionalization.

conclusionIt is important to distinguish between unavoidable and avoidable mortality when measuring health outcomes and their distribution in society. The proposed new measure (RePLY) enables policy-makers to focus on age-sex groups with low realization of potential life years and thus high avoidable mortality risks.

Indexed as

Health Status DisparitiesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDeveloped CountriesFemaleHumansInfantLife ExpectancyMaleMiddle AgedMortality

Identifiers

PMID18026624
PMCPMC2636396

What OpenQuestion holds

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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.