Evidence map›Paper›PMID 34625458›Full record

ArticleBMJ global health2021

Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis.

Tim Adair, U S H Gamage, Lene Mikkelsen, Rohina Joshi

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Article
  7. Flaws and uncertainties in pandemic global excess death calculations.European journal of clinical investigation · 2023
    Review
  8. Death registration coverage 2019-2021, India.Bulletin of the World Health Organization · 2023
    Article
  9. Article
  10. Article
  11. 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

4 authors.

Tim AdairMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia timothy.adair@unimelb.edu.au.ORCID 0000-0002-1562-4452
U S H GamageMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.
Lene MikkelsenMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.
Rohina JoshiThe George Institute for Global Health, Newtown, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent studies suggest that more male than female deaths are registered and a higher proportion of female deaths are certified as 'garbage' causes (ie, vague or ill-defined causes of limited policy value). This can reduce the utility of sex-specific mortality statistics for governments to address health problems. To assess whether there are sex differences in completeness and quality of data from civil registration and vital statistics systems, we analysed available global death registration and cause of death data.

methodsCompleteness of death registration for females and males was compared in 112 countries, and in subsets of countries with incomplete death registration. For 64 countries with medical certificate of cause of death data, the level, severity and type of garbage causes was compared between females and males, standardised for the older age distribution and different cause composition of female compared with male deaths.

resultsFor 42 countries with completeness of less than 95% (both sexes), average female completeness was 1.2 percentage points (p.p.) lower (95% uncertainty interval (UI) -2.5 to -0.2 p.p.) than for males. Aggregate female completeness for these countries was 7.1 p.p. lower (95% UI -12.2 to -2.0 p.p.; female 72.9%, male 80.1%), due to much higher male completeness in nine countries including India. Garbage causes were higher for females than males in 58 of 64 countries (statistically significant in 48 countries), but only by an average 1.4 p.p. (1.3-1.6 p.p.); results were consistent by severity and type of garbage.

conclusionAlthough in most countries analysed there was no clear bias against females in death registration, there was clear evidence in a few countries of systematic undercounting of female deaths which substantially reduces the utility of mortality data. In countries with cause of death data, it was only of marginally poorer quality for females than males.

Indexed as

Sex CharacteristicsAgedCause of DeathFemaleHumansIndiaMalehealth systemsindices of health and disease and standardisation of ratesmedical demographypublic health

Identifiers

PMID34625458
PMCPMC8504355

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