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Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly?
BACKGROUND: No formal definition for the “complex elderly” exists; moreover, these older patients with high levels of multi-morbidity are not readily identified as such at point of hospitalisation, thus missing a valuable opportunity to manage the older patient appropriately within the hospital sett...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696783/ https://www.ncbi.nlm.nih.gov/pubmed/26716440 http://dx.doi.org/10.1371/journal.pone.0145372 |
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author | Ruiz, Milagros Bottle, Alex Long, Susannah Aylin, Paul |
author_facet | Ruiz, Milagros Bottle, Alex Long, Susannah Aylin, Paul |
author_sort | Ruiz, Milagros |
collection | PubMed |
description | BACKGROUND: No formal definition for the “complex elderly” exists; moreover, these older patients with high levels of multi-morbidity are not readily identified as such at point of hospitalisation, thus missing a valuable opportunity to manage the older patient appropriately within the hospital setting. OBJECTIVES: To empirically identify the complex elderly patient based on degree of multi-morbidity. DESIGN: Retrospective observational study using administrative data. SETTING: English hospitals during the financial year 2012–13. SUBJECTS: All admitted patients aged 65 years and over. METHODS: By using exploratory analysis (correspondence analysis) we identify multi-morbidity groups based on 20 target conditions whose hospital prevalence was ≥ 1%. RESULTS: We examined a total of 2788900 hospital admissions. Multi-morbidity was highly prevalent, 62.8% had 2 or more of the targeted conditions while 4.7% had six or more. Multi-morbidity increased with age from 56% (65-69yr age-groups) up to 67% (80-84yr age-group). The average multi-morbidity was 3.2±1.2 (SD). Correspondence analysis revealed 3 distinct groups of older patients. Group 1 (multi-morbidity ≤2), associated with cancer and/or metastasis; Group 2 (multi-morbidity of 3, 4 or 5), associated with chronic pulmonary disease, lung disease, rheumatism and osteoporosis; finally Group 3 with the highest level of multi-morbidity (≥6) and associated with heart failure, cerebrovascular accident, diabetes, hypertension and myocardial infarction. CONCLUSIONS: By using widely available hospital administrative data, we propose patients in Groups 2 and 3 to be identified as the complex elderly. Identification of multi-morbidity patterns can help to predict the needs of the older patient and improve resource provision. |
format | Online Article Text |
id | pubmed-4696783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46967832016-01-13 Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? Ruiz, Milagros Bottle, Alex Long, Susannah Aylin, Paul PLoS One Research Article BACKGROUND: No formal definition for the “complex elderly” exists; moreover, these older patients with high levels of multi-morbidity are not readily identified as such at point of hospitalisation, thus missing a valuable opportunity to manage the older patient appropriately within the hospital setting. OBJECTIVES: To empirically identify the complex elderly patient based on degree of multi-morbidity. DESIGN: Retrospective observational study using administrative data. SETTING: English hospitals during the financial year 2012–13. SUBJECTS: All admitted patients aged 65 years and over. METHODS: By using exploratory analysis (correspondence analysis) we identify multi-morbidity groups based on 20 target conditions whose hospital prevalence was ≥ 1%. RESULTS: We examined a total of 2788900 hospital admissions. Multi-morbidity was highly prevalent, 62.8% had 2 or more of the targeted conditions while 4.7% had six or more. Multi-morbidity increased with age from 56% (65-69yr age-groups) up to 67% (80-84yr age-group). The average multi-morbidity was 3.2±1.2 (SD). Correspondence analysis revealed 3 distinct groups of older patients. Group 1 (multi-morbidity ≤2), associated with cancer and/or metastasis; Group 2 (multi-morbidity of 3, 4 or 5), associated with chronic pulmonary disease, lung disease, rheumatism and osteoporosis; finally Group 3 with the highest level of multi-morbidity (≥6) and associated with heart failure, cerebrovascular accident, diabetes, hypertension and myocardial infarction. CONCLUSIONS: By using widely available hospital administrative data, we propose patients in Groups 2 and 3 to be identified as the complex elderly. Identification of multi-morbidity patterns can help to predict the needs of the older patient and improve resource provision. Public Library of Science 2015-12-30 /pmc/articles/PMC4696783/ /pubmed/26716440 http://dx.doi.org/10.1371/journal.pone.0145372 Text en © 2015 Ruiz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ruiz, Milagros Bottle, Alex Long, Susannah Aylin, Paul Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title | Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title_full | Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title_fullStr | Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title_full_unstemmed | Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title_short | Multi-Morbidity in Hospitalised Older Patients: Who Are the Complex Elderly? |
title_sort | multi-morbidity in hospitalised older patients: who are the complex elderly? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696783/ https://www.ncbi.nlm.nih.gov/pubmed/26716440 http://dx.doi.org/10.1371/journal.pone.0145372 |
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