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Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project
BACKGROUND: General practitioners often care for patients with several concurrent chronic medical conditions (multimorbidity). Recent data suggest that multimorbidity might be observed more often than isolated diseases in primary care. We explored the age- and gender-related prevalence of multimorbi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557138/ https://www.ncbi.nlm.nih.gov/pubmed/23181753 http://dx.doi.org/10.1186/1471-2296-13-113 |
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author | Rizza, Alessandro Kaplan, Vladimir Senn, Oliver Rosemann, Thomas Bhend, Heinz Tandjung, Ryan |
author_facet | Rizza, Alessandro Kaplan, Vladimir Senn, Oliver Rosemann, Thomas Bhend, Heinz Tandjung, Ryan |
author_sort | Rizza, Alessandro |
collection | PubMed |
description | BACKGROUND: General practitioners often care for patients with several concurrent chronic medical conditions (multimorbidity). Recent data suggest that multimorbidity might be observed more often than isolated diseases in primary care. We explored the age- and gender-related prevalence of multimorbidity and compared these estimates to the prevalence estimates of other common specific diseases found in Swiss primary care. METHODS: We analyzed data from the Swiss FIRE (Family Medicine ICPC Research using Electronic Medical Record) project database, representing a total of 509,656 primary care encounters in 98,152 adult patients between January 1, 2009 and July 31, 2011. For each encounter, medical problems were encoded using the second version of the International Classification of primary Care (ICPC-2). We defined chronic health conditions using 147 pre-specified ICPC-2 codes and defined multimorbidity as 1) two or more chronic health conditions from different ICPC-2 rubrics, 2) two or more chronic health conditions from different ICPC-2 chapters, and 3) two or more medical specialties involved in patient care. We compared the prevalence estimates of multimorbidity defined by the three methodologies with the prevalence estimates of common diseases encountered in primary care. RESULTS: Overall, the prevalence estimates of multimorbidity were similar for the three different definitions (15% [95%CI 11-18%], 13% [95%CI 10-16%], and 14% [95%CI 11-17%], respectively), and were higher than the prevalence estimates of any specific chronic health condition (hypertension, uncomplicated 9% [95%CI 7-11%], back syndrome with and without radiating pain 6% [95%CI 5-7%], non-insulin dependent diabetes mellitus 3% [95%CI 3-4%]), and degenerative joint disease 3% [95%CI 2%-4%]). The prevalence estimates of multimorbidity rose more than 20-fold with age, from 2% (95%CI 1-2%) in those aged 20–29 years, to 38% (95%CI 31-44%) in those aged 80 or more years. The prevalence estimates of multimorbidity were similar for men and women (15% vs. 14%, p=0.288). CONCLUSIONS: In primary care, prevalence estimates of multimorbidity are higher than those of isolated diseases. Among the elderly, more than one out of three patients suffer from multimorbidity. Management of multimorbidity is a principal concern in this vulnerable patient population. |
format | Online Article Text |
id | pubmed-3557138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35571382013-01-31 Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project Rizza, Alessandro Kaplan, Vladimir Senn, Oliver Rosemann, Thomas Bhend, Heinz Tandjung, Ryan BMC Fam Pract Research Article BACKGROUND: General practitioners often care for patients with several concurrent chronic medical conditions (multimorbidity). Recent data suggest that multimorbidity might be observed more often than isolated diseases in primary care. We explored the age- and gender-related prevalence of multimorbidity and compared these estimates to the prevalence estimates of other common specific diseases found in Swiss primary care. METHODS: We analyzed data from the Swiss FIRE (Family Medicine ICPC Research using Electronic Medical Record) project database, representing a total of 509,656 primary care encounters in 98,152 adult patients between January 1, 2009 and July 31, 2011. For each encounter, medical problems were encoded using the second version of the International Classification of primary Care (ICPC-2). We defined chronic health conditions using 147 pre-specified ICPC-2 codes and defined multimorbidity as 1) two or more chronic health conditions from different ICPC-2 rubrics, 2) two or more chronic health conditions from different ICPC-2 chapters, and 3) two or more medical specialties involved in patient care. We compared the prevalence estimates of multimorbidity defined by the three methodologies with the prevalence estimates of common diseases encountered in primary care. RESULTS: Overall, the prevalence estimates of multimorbidity were similar for the three different definitions (15% [95%CI 11-18%], 13% [95%CI 10-16%], and 14% [95%CI 11-17%], respectively), and were higher than the prevalence estimates of any specific chronic health condition (hypertension, uncomplicated 9% [95%CI 7-11%], back syndrome with and without radiating pain 6% [95%CI 5-7%], non-insulin dependent diabetes mellitus 3% [95%CI 3-4%]), and degenerative joint disease 3% [95%CI 2%-4%]). The prevalence estimates of multimorbidity rose more than 20-fold with age, from 2% (95%CI 1-2%) in those aged 20–29 years, to 38% (95%CI 31-44%) in those aged 80 or more years. The prevalence estimates of multimorbidity were similar for men and women (15% vs. 14%, p=0.288). CONCLUSIONS: In primary care, prevalence estimates of multimorbidity are higher than those of isolated diseases. Among the elderly, more than one out of three patients suffer from multimorbidity. Management of multimorbidity is a principal concern in this vulnerable patient population. BioMed Central 2012-11-24 /pmc/articles/PMC3557138/ /pubmed/23181753 http://dx.doi.org/10.1186/1471-2296-13-113 Text en Copyright ©2012 Rizza et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Rizza, Alessandro Kaplan, Vladimir Senn, Oliver Rosemann, Thomas Bhend, Heinz Tandjung, Ryan Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title | Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title_full | Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title_fullStr | Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title_full_unstemmed | Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title_short | Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
title_sort | age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557138/ https://www.ncbi.nlm.nih.gov/pubmed/23181753 http://dx.doi.org/10.1186/1471-2296-13-113 |
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