Evidence map›Paper›PMID 36011694›Full record

ArticleInternational journal of environmental research and public health2022

Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review.

Anastasia Zelenina, Svetlana Shalnova, Sergey Maksimov, Oksana Drapkina

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
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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.

Anastasia ZeleninaNational Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia.ORCID 0000-0003-4720-6674
Svetlana ShalnovaNational Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia.ORCID 0000-0003-2087-6483
Sergey MaksimovNational Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia.ORCID 0000-0003-0545-2586
Oksana DrapkinaNational Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia.ORCID 0000-0002-4453-8430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices.

methodsIn the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears.

resultsIn the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices.

conclusionsThe data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.

Indexed as

Health Status DisparitiesDatabases, Bibliographicepidemiologic measurementsresidence characteristicsreviewtaxonomy

Identifiers

PMID36011694
PMCPMC9408665

What OpenQuestion holds

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Registered trials

None linked

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.