Evidence map›Paper›PMID 31455703›Full record

ArticleBMJ open2019

Do alternative weighting approaches for an Index of Multiple Deprivation change the association with mortality? A sensitivity analysis from Germany.

Florian Schederecker, Christoph Kurz, Jon Fairburn, Werner Maier

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. A scoping review of multiple deprivation indices in Europe.European journal of public health · 2025
    Article
  3. Article
  4. Regional Deprivation and Suicide.Deutsches Arzteblatt international · 2024
    Article
  5. Article
  6. Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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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.

Florian SchedereckerInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH), Neuherberg, Germany.
Christoph KurzInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH), Neuherberg, Germany.
Jon FairburnBusiness School, Staffordshire University, Stoke-on-Trent, UK.
Werner MaierInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH), Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the impact of using different weighting procedures for the German Index of Multiple Deprivation (GIMD) investigating their link to mortality rates. DESIGN AND

settingIn addition to the original (normative) weighting of the GIMD domains, four alternative weighting approaches were applied: equal weighting, linear regression, maximization algorithm and factor analysis. Correlation analyses to quantify the association between the differently weighted GIMD versions and mortality based on district-level official data from Germany in 2010 were applied (n=412 districts). OUTCOME MEASURES: Total mortality (all age groups) and premature mortality (<65 years).

resultsAll correlations of the GIMD versions with both total and premature mortality were highly significant (p<0.001). The comparison of these associations using Williams's t-test for paired correlations showed significant differences, which proved to be small in respect to absolute values of Spearman's rho (total mortality: between 0.535 and 0.615; premature mortality: between 0.699 and 0.832).

conclusionsThe association between area deprivation and mortality proved to be stable, regardless of different weighting of the GIMD domains. The theory-based weighting of the GIMD should be maintained, due to the stability of the GIMD scores and the relationship to mortality.

Indexed as

AlgorithmsMortality, PrematureSocial CapitalSocioeconomic FactorsAgedEmploymentFactor Analysis, StatisticalGermanyHumansIncomeLinear ModelsMiddle AgedMortalityarea deprivationdomainsGerman Index of Multiple Deprivationmortalityweighting

Identifiers

PMID31455703
PMCPMC6719755

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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.