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

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  • Anastasia Zelenina

    (National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia)

  • Svetlana Shalnova

    (National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia)

  • Sergey Maksimov

    (National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia)

  • Oksana Drapkina

    (National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia)

Abstract

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.

Suggested Citation

  • Anastasia Zelenina & Svetlana Shalnova & Sergey Maksimov & Oksana Drapkina, 2022. "Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10063-:d:888379
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