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Census-based socioeconomic indicators for monitoring injury causes in the USA: a review

BACKGROUND: Unlike the UK or New Zealand, there is no standard set of census variables in the USA for characterising socioeconomic (SES, socioeconomic status) inequalities in health outcomes, including injury. We systematically reviewed existing US studies to identify conceptual and methodological s...

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Autores principales: Bell, Nathaniel, Arrington, Amanda, Adams, Swann Arp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4518757/
https://www.ncbi.nlm.nih.gov/pubmed/25678685
http://dx.doi.org/10.1136/injuryprev-2014-041444
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author Bell, Nathaniel
Arrington, Amanda
Adams, Swann Arp
author_facet Bell, Nathaniel
Arrington, Amanda
Adams, Swann Arp
author_sort Bell, Nathaniel
collection PubMed
description BACKGROUND: Unlike the UK or New Zealand, there is no standard set of census variables in the USA for characterising socioeconomic (SES, socioeconomic status) inequalities in health outcomes, including injury. We systematically reviewed existing US studies to identify conceptual and methodological strengths and limitations of current approaches to determine those most suitable for research and surveillance. METHODS: We searched seven electronic databases to identify census variables proposed in the peer-reviewed literature to monitor injury risk. Inclusion criteria were that numerator data were derived from hospital, trauma or vital statistics registries and that exposure variables included census SES constructs. RESULTS: From 33 eligible studies, we identified 70 different census constructs for monitoring injury risk. Of these, fewer than half were replicated by other studies or against other causes, making the majority of studies non-comparable. When evaluated for a statistically significant relationship with a cause of injury, 74% of all constructs were predictive of injury risk when assessed in pairwise comparisons, whereas 98% of all constructs were significant when aggregated into composite indices. Fewer than 30% of studies selected SES constructs based on known associations with injury risk. CONCLUSIONS: There is heterogeneity in the conceptual and methodological approaches for using census data for monitoring injury risk as well as in the recommendations as to how these constructs can be used for injury prevention. We recommend four priority areas for research to facilitate a more unified approach towards use of the census for monitoring socioeconomic inequalities in injury risk.
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spelling pubmed-45187572015-08-03 Census-based socioeconomic indicators for monitoring injury causes in the USA: a review Bell, Nathaniel Arrington, Amanda Adams, Swann Arp Inj Prev Systematic Review BACKGROUND: Unlike the UK or New Zealand, there is no standard set of census variables in the USA for characterising socioeconomic (SES, socioeconomic status) inequalities in health outcomes, including injury. We systematically reviewed existing US studies to identify conceptual and methodological strengths and limitations of current approaches to determine those most suitable for research and surveillance. METHODS: We searched seven electronic databases to identify census variables proposed in the peer-reviewed literature to monitor injury risk. Inclusion criteria were that numerator data were derived from hospital, trauma or vital statistics registries and that exposure variables included census SES constructs. RESULTS: From 33 eligible studies, we identified 70 different census constructs for monitoring injury risk. Of these, fewer than half were replicated by other studies or against other causes, making the majority of studies non-comparable. When evaluated for a statistically significant relationship with a cause of injury, 74% of all constructs were predictive of injury risk when assessed in pairwise comparisons, whereas 98% of all constructs were significant when aggregated into composite indices. Fewer than 30% of studies selected SES constructs based on known associations with injury risk. CONCLUSIONS: There is heterogeneity in the conceptual and methodological approaches for using census data for monitoring injury risk as well as in the recommendations as to how these constructs can be used for injury prevention. We recommend four priority areas for research to facilitate a more unified approach towards use of the census for monitoring socioeconomic inequalities in injury risk. BMJ Publishing Group 2015-08 2015-02-12 /pmc/articles/PMC4518757/ /pubmed/25678685 http://dx.doi.org/10.1136/injuryprev-2014-041444 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Systematic Review
Bell, Nathaniel
Arrington, Amanda
Adams, Swann Arp
Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title_full Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title_fullStr Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title_full_unstemmed Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title_short Census-based socioeconomic indicators for monitoring injury causes in the USA: a review
title_sort census-based socioeconomic indicators for monitoring injury causes in the usa: a review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4518757/
https://www.ncbi.nlm.nih.gov/pubmed/25678685
http://dx.doi.org/10.1136/injuryprev-2014-041444
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