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What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK
OBJECTIVES: To clarify the relationship between social deprivation and age as two factors associated with emergency admissions to hospital. DESIGN: Emergency admissions for 12 months were analysed for patients in the NHS NEW Devon CCG. Social deprivation was measured by the Index of Multiple Depriva...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318571/ https://www.ncbi.nlm.nih.gov/pubmed/28196950 http://dx.doi.org/10.1136/bmjopen-2016-014045 |
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author | Pereira Gray, Denis Henley, William Chenore, Todd Sidaway-Lee, Kate Evans, Philip |
author_facet | Pereira Gray, Denis Henley, William Chenore, Todd Sidaway-Lee, Kate Evans, Philip |
author_sort | Pereira Gray, Denis |
collection | PubMed |
description | OBJECTIVES: To clarify the relationship between social deprivation and age as two factors associated with emergency admissions to hospital. DESIGN: Emergency admissions for 12 months were analysed for patients in the NHS NEW Devon CCG. Social deprivation was measured by the Index of Multiple Deprivation (IMD). Logistic regression models estimated the separate and combined effects of social deprivation and age on the risk of emergency admissions for people aged under and over 65. SETTING: East Devon, UK—area of the NEW Devon CCG. POPULATION: 765 861 patients in the CCG database. MAIN OUTCOME MEASURE: Emergency admission to any English hospital. RESULTS: Age (p<0.001) and social deprivation (p<0.001) were significantly associated with emergency admission to hospital, but there was a significant interaction between age and social deprivation (p<0.001). From the third quintile of age upwards, age progressively overtakes deprivation and age has a dominant effect on emergency admissions over the age of 65. The effect of age was J-shaped in all deprivation groups, increasing exponentially after age 40. For patients under 65, age and social deprivation had similar risks for emergency admissions, the differences in risk between the top and bottom quintiles of IMD and age being ∼1.5 and 0.9 percentage points. In patients over 65, age had a much greater effect on the risk of admissions than social deprivation, the differences in risk between the top and bottom quintiles of IMD and age being ∼2.8 and 18.7 percentage points. CONCLUSIONS: Risk curves for all social groups have similar shapes, implying a common biological pattern for ageing in any social group. Over age 65, the biological effects of ageing outweigh the social effects of deprivation. Our model enables CCGs to anticipate and plan for emergency admissions to hospital. These findings provide a new logic for allocating resources to different populations. |
format | Online Article Text |
id | pubmed-5318571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53185712017-02-27 What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK Pereira Gray, Denis Henley, William Chenore, Todd Sidaway-Lee, Kate Evans, Philip BMJ Open Health Services Research OBJECTIVES: To clarify the relationship between social deprivation and age as two factors associated with emergency admissions to hospital. DESIGN: Emergency admissions for 12 months were analysed for patients in the NHS NEW Devon CCG. Social deprivation was measured by the Index of Multiple Deprivation (IMD). Logistic regression models estimated the separate and combined effects of social deprivation and age on the risk of emergency admissions for people aged under and over 65. SETTING: East Devon, UK—area of the NEW Devon CCG. POPULATION: 765 861 patients in the CCG database. MAIN OUTCOME MEASURE: Emergency admission to any English hospital. RESULTS: Age (p<0.001) and social deprivation (p<0.001) were significantly associated with emergency admission to hospital, but there was a significant interaction between age and social deprivation (p<0.001). From the third quintile of age upwards, age progressively overtakes deprivation and age has a dominant effect on emergency admissions over the age of 65. The effect of age was J-shaped in all deprivation groups, increasing exponentially after age 40. For patients under 65, age and social deprivation had similar risks for emergency admissions, the differences in risk between the top and bottom quintiles of IMD and age being ∼1.5 and 0.9 percentage points. In patients over 65, age had a much greater effect on the risk of admissions than social deprivation, the differences in risk between the top and bottom quintiles of IMD and age being ∼2.8 and 18.7 percentage points. CONCLUSIONS: Risk curves for all social groups have similar shapes, implying a common biological pattern for ageing in any social group. Over age 65, the biological effects of ageing outweigh the social effects of deprivation. Our model enables CCGs to anticipate and plan for emergency admissions to hospital. These findings provide a new logic for allocating resources to different populations. BMJ Publishing Group 2017-02-14 /pmc/articles/PMC5318571/ /pubmed/28196950 http://dx.doi.org/10.1136/bmjopen-2016-014045 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 | Health Services Research Pereira Gray, Denis Henley, William Chenore, Todd Sidaway-Lee, Kate Evans, Philip What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title | What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title_full | What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title_fullStr | What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title_full_unstemmed | What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title_short | What is the relationship between age and deprivation in influencing emergency hospital admissions? A model using data from a defined, comprehensive, all-age cohort in East Devon, UK |
title_sort | what is the relationship between age and deprivation in influencing emergency hospital admissions? a model using data from a defined, comprehensive, all-age cohort in east devon, uk |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318571/ https://www.ncbi.nlm.nih.gov/pubmed/28196950 http://dx.doi.org/10.1136/bmjopen-2016-014045 |
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