Evidence map›Paper›PMID 37643807›Full record

ArticleBMJ global health2023

Alternative approaches for creating a wealth index: the case of Mozambique.

Kexin Xie, Achla Marathe, Xinwei Deng, Paula Ruiz-Castillo, Saimado Imputiua, Eldo Elobolobo, Victor Mutepa, Mussa Sale, Patricia Nicolas, Julia Montana and 9 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

19 authors.

Kexin XieDepartment of Statistics, Virginia Tech, Blacksburg, Virginia, USA.
Achla MaratheNetwork Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, Virginia, USA achla@virginia.edu.ORCID 0000-0002-0258-1588
Xinwei DengDepartment of Statistics, Virginia Tech, Blacksburg, Virginia, USA.
Paula Ruiz-CastilloBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Saimado ImputiuaCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Eldo EloboloboCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Victor MutepaCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Mussa SaleCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Patricia NicolasBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Julia MontanaBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Edgar JamisseCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Humberto MunguambeCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Felisbela MaterrulaCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Aina CasellasBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Regina RabinovichBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Francisco SauteCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Carlos J ChaccourBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0001-9812-050X
Charfudin SacoorCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Cassidy RistDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0002-7558-8094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe wealth index is widely used as a proxy for a household's socioeconomic position (SEP) and living standard. This work constructs a wealth index for the Mopeia district in Mozambique using data collected in year 2021 under the BOHEMIA (Broad One Health Endectocide-based Malaria Intervention in Africa) project.

methodsWe evaluate the performance of three alternative approaches against the Demographic and Health Survey (DHS) method based wealth index: feature selection principal components analysis (PCA), sparse PCA and robust PCA. The internal coherence between four wealth indices is investigated through statistical testing. Validation and an evaluation of the stability of the wealth index are performed with additional household income data from the BOHEMIA Health Economics Survey and the 2018 Malaria Indicator Survey data in Mozambique.

resultsThe Spearman's rank correlation between wealth index ventiles from four methods is over 0.98, indicating a high consistency in results across methods. Wealth rankings and households' income show a strong concordance with the area under the curve value of ~0.7 in the receiver operating characteristic analysis. The agreement between the alternative wealth indices and the DHS wealth index demonstrates the stability in rankings from the alternative methods.

conclusionsThis study creates a wealth index for Mopeia, Mozambique, and shows that DHS method based wealth index is an appropriate proxy for the SEP in low-income regions. However, this research recommends feature selection PCA over the DHS method since it uses fewer asset indicators and constructs a high-quality wealth index.

Indexed as

One HealthAfricaHealth SurveysHumansMozambiquePovertyhealth services researchindices of health and disease and standardisation of ratespublic health

Identifiers

PMID37643807
PMCPMC10465889

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.