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Age trends in 30 day hospital readmissions: US national retrospective analysis
OBJECTIVE: To assess trends in and risk factors for readmission to hospital across the age continuum. DESIGN: Retrospective analysis. SETTING AND PARTICIPANTS: 31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827573/ https://www.ncbi.nlm.nih.gov/pubmed/29487063 http://dx.doi.org/10.1136/bmj.k497 |
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author | Berry, Jay G Gay, James C Joynt Maddox, Karen Coleman, Eric A Bucholz, Emily M O’Neill, Margaret R Blaine, Kevin Hall, Matthew |
author_facet | Berry, Jay G Gay, James C Joynt Maddox, Karen Coleman, Eric A Bucholz, Emily M O’Neill, Margaret R Blaine, Kevin Hall, Matthew |
author_sort | Berry, Jay G |
collection | PubMed |
description | OBJECTIVE: To assess trends in and risk factors for readmission to hospital across the age continuum. DESIGN: Retrospective analysis. SETTING AND PARTICIPANTS: 31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissions Database. MAIN OUTCOME MEASURE: 30 day, all cause, unplanned hospital readmissions. Odds of readmission were compared by patients’ age in one year epochs with logistic regression, accounting for sex, payer, length of stay, discharge disposition, number of chronic conditions, reason for and severity of admission, and data clustering by hospital. The middle (45 years) of the age range (0-90+ years) was selected as the age reference group. RESULTS: The 30 day unplanned readmission rate following all US index admissions was 11.6% (n=3 678 018). Referenced by patients aged 45 years, the adjusted odds ratio for readmission increased between ages 16 and 20 years (from 0.70 (95% confidence interval 0.68 to 0.71) to 1.04 (1.02 to 1.06)), remained elevated between ages 21 and 44 years (range 1.02 (1.00 to 1.03) to 1.12 (1.10 to 1.14)), steadily decreased between ages 46 and 64 years (range 1.02 (1.00 to 1.04) to 0.91 (0.90 to 0.93)), and decreased abruptly at age 65 years (0.78 (0.77 to 0.79)), after which the odds remained relatively constant with advancing age. Across all ages, multiple chronic conditions were associated with the highest adjusted odds of readmission (for example, 3.67 (3.64 to 3.69) for six or more versus no chronic conditions). Among children, young adults, and middle aged adults, mental health was one of the most common reasons for index admissions that had high adjusted readmission rates (≥75th centile). CONCLUSIONS: The likelihood of readmission was elevated for children transitioning to adulthood, children and younger adults with mental health disorders, and patients of all ages with multiple chronic conditions. Further attention to the measurement and causes of readmission and opportunities for its reduction in these groups is warranted. |
format | Online Article Text |
id | pubmed-5827573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58275732018-02-28 Age trends in 30 day hospital readmissions: US national retrospective analysis Berry, Jay G Gay, James C Joynt Maddox, Karen Coleman, Eric A Bucholz, Emily M O’Neill, Margaret R Blaine, Kevin Hall, Matthew BMJ Research OBJECTIVE: To assess trends in and risk factors for readmission to hospital across the age continuum. DESIGN: Retrospective analysis. SETTING AND PARTICIPANTS: 31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissions Database. MAIN OUTCOME MEASURE: 30 day, all cause, unplanned hospital readmissions. Odds of readmission were compared by patients’ age in one year epochs with logistic regression, accounting for sex, payer, length of stay, discharge disposition, number of chronic conditions, reason for and severity of admission, and data clustering by hospital. The middle (45 years) of the age range (0-90+ years) was selected as the age reference group. RESULTS: The 30 day unplanned readmission rate following all US index admissions was 11.6% (n=3 678 018). Referenced by patients aged 45 years, the adjusted odds ratio for readmission increased between ages 16 and 20 years (from 0.70 (95% confidence interval 0.68 to 0.71) to 1.04 (1.02 to 1.06)), remained elevated between ages 21 and 44 years (range 1.02 (1.00 to 1.03) to 1.12 (1.10 to 1.14)), steadily decreased between ages 46 and 64 years (range 1.02 (1.00 to 1.04) to 0.91 (0.90 to 0.93)), and decreased abruptly at age 65 years (0.78 (0.77 to 0.79)), after which the odds remained relatively constant with advancing age. Across all ages, multiple chronic conditions were associated with the highest adjusted odds of readmission (for example, 3.67 (3.64 to 3.69) for six or more versus no chronic conditions). Among children, young adults, and middle aged adults, mental health was one of the most common reasons for index admissions that had high adjusted readmission rates (≥75th centile). CONCLUSIONS: The likelihood of readmission was elevated for children transitioning to adulthood, children and younger adults with mental health disorders, and patients of all ages with multiple chronic conditions. Further attention to the measurement and causes of readmission and opportunities for its reduction in these groups is warranted. BMJ Publishing Group Ltd. 2018-02-27 /pmc/articles/PMC5827573/ /pubmed/29487063 http://dx.doi.org/10.1136/bmj.k497 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 | Research Berry, Jay G Gay, James C Joynt Maddox, Karen Coleman, Eric A Bucholz, Emily M O’Neill, Margaret R Blaine, Kevin Hall, Matthew Age trends in 30 day hospital readmissions: US national retrospective analysis |
title | Age trends in 30 day hospital readmissions: US national retrospective analysis |
title_full | Age trends in 30 day hospital readmissions: US national retrospective analysis |
title_fullStr | Age trends in 30 day hospital readmissions: US national retrospective analysis |
title_full_unstemmed | Age trends in 30 day hospital readmissions: US national retrospective analysis |
title_short | Age trends in 30 day hospital readmissions: US national retrospective analysis |
title_sort | age trends in 30 day hospital readmissions: us national retrospective analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827573/ https://www.ncbi.nlm.nih.gov/pubmed/29487063 http://dx.doi.org/10.1136/bmj.k497 |
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