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

Introduction: Many 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. Depriv...

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Autores principales: Zelenina, Anastasia, Shalnova, Svetlana, Maksimov, Sergey, Drapkina, Oksana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408665/
https://www.ncbi.nlm.nih.gov/pubmed/36011694
http://dx.doi.org/10.3390/ijerph191610063
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author Zelenina, Anastasia
Shalnova, Svetlana
Maksimov, Sergey
Drapkina, Oksana
author_facet Zelenina, Anastasia
Shalnova, Svetlana
Maksimov, Sergey
Drapkina, Oksana
author_sort Zelenina, Anastasia
collection PubMed
description Introduction: Many 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. Methods: In 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. Results: In 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. Conclusions: The 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.
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spelling pubmed-94086652022-08-26 Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review Zelenina, Anastasia Shalnova, Svetlana Maksimov, Sergey Drapkina, Oksana Int J Environ Res Public Health Review Introduction: Many 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. Methods: In 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. Results: In 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. Conclusions: The 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. MDPI 2022-08-15 /pmc/articles/PMC9408665/ /pubmed/36011694 http://dx.doi.org/10.3390/ijerph191610063 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Zelenina, Anastasia
Shalnova, Svetlana
Maksimov, Sergey
Drapkina, Oksana
Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title_full Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title_fullStr Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title_full_unstemmed Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title_short Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review
title_sort classification of deprivation indices that applied to detect health inequality: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408665/
https://www.ncbi.nlm.nih.gov/pubmed/36011694
http://dx.doi.org/10.3390/ijerph191610063
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