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Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices
BACKGROUND: Multimorbidity is common among general practice patients and increases a general practitioner’s (GP’s) workload. But the extent of multimorbidity may depend on its definition and whether a time delimiter is included in the definition or not. AIMS: The aims of the study were (1) to compar...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991077/ https://www.ncbi.nlm.nih.gov/pubmed/35382922 http://dx.doi.org/10.1017/S146342362200010X |
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author | Hauswaldt, Johannes Schmalstieg-Bahr, Katharina Himmel, Wolfgang |
author_facet | Hauswaldt, Johannes Schmalstieg-Bahr, Katharina Himmel, Wolfgang |
author_sort | Hauswaldt, Johannes |
collection | PubMed |
description | BACKGROUND: Multimorbidity is common among general practice patients and increases a general practitioner’s (GP’s) workload. But the extent of multimorbidity may depend on its definition and whether a time delimiter is included in the definition or not. AIMS: The aims of the study were (1) to compare practice prevalence rates yielded by different models of multimorbidity, (2) to determine how a time delimiter influences the prevalence rates and (3) to assess the effects of multimorbidity on the number of direct and indirect patient contacts as an indicator of doctors’ workload. METHODS: This retrospective observational study used electronic medical records from 142 German general practices, covering 13 years from 1994 to 2007. The four models of multimorbidity ranged from a simple definition, requiring only two diseases, to an advanced definition requiring at least three chronic conditions. We also included a time delimiter for the definition of multimorbidity. Descriptive statistics, such as means and correlation coefficients, were applied. FINDINGS: The annual percentage of multimorbid primary care patients ranged between 84% (simple model) and 16% (advanced model) and between 74% and 13% if a time delimiter was included. Multimorbid patients had about twice as many contacts annually than the remainder. The number of contacts were different for each model, but the ratio remained similar. The number of contacts correlated moderately with patient age (r = 0.35). The correlation between age and multimorbidity increased from model to model up to 0.28 while the correlations between contacts and multimorbidity varied around 0.2 in all four models. CONCLUSION: Multimorbidity seems to be less prevalent in primary care practices than usually estimated if advanced definitions of multimorbidity and a temporal delimiter are applied. Although multimorbidity increases in any model a doctor’s workload, it is especially the older person with multiple chronic diseases who is a challenge for the GP. |
format | Online Article Text |
id | pubmed-8991077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89910772022-04-15 Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices Hauswaldt, Johannes Schmalstieg-Bahr, Katharina Himmel, Wolfgang Prim Health Care Res Dev Research Article BACKGROUND: Multimorbidity is common among general practice patients and increases a general practitioner’s (GP’s) workload. But the extent of multimorbidity may depend on its definition and whether a time delimiter is included in the definition or not. AIMS: The aims of the study were (1) to compare practice prevalence rates yielded by different models of multimorbidity, (2) to determine how a time delimiter influences the prevalence rates and (3) to assess the effects of multimorbidity on the number of direct and indirect patient contacts as an indicator of doctors’ workload. METHODS: This retrospective observational study used electronic medical records from 142 German general practices, covering 13 years from 1994 to 2007. The four models of multimorbidity ranged from a simple definition, requiring only two diseases, to an advanced definition requiring at least three chronic conditions. We also included a time delimiter for the definition of multimorbidity. Descriptive statistics, such as means and correlation coefficients, were applied. FINDINGS: The annual percentage of multimorbid primary care patients ranged between 84% (simple model) and 16% (advanced model) and between 74% and 13% if a time delimiter was included. Multimorbid patients had about twice as many contacts annually than the remainder. The number of contacts were different for each model, but the ratio remained similar. The number of contacts correlated moderately with patient age (r = 0.35). The correlation between age and multimorbidity increased from model to model up to 0.28 while the correlations between contacts and multimorbidity varied around 0.2 in all four models. CONCLUSION: Multimorbidity seems to be less prevalent in primary care practices than usually estimated if advanced definitions of multimorbidity and a temporal delimiter are applied. Although multimorbidity increases in any model a doctor’s workload, it is especially the older person with multiple chronic diseases who is a challenge for the GP. Cambridge University Press 2022-04-06 /pmc/articles/PMC8991077/ /pubmed/35382922 http://dx.doi.org/10.1017/S146342362200010X Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Hauswaldt, Johannes Schmalstieg-Bahr, Katharina Himmel, Wolfgang Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title | Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title_full | Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title_fullStr | Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title_full_unstemmed | Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title_short | Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices |
title_sort | different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in german general practices |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991077/ https://www.ncbi.nlm.nih.gov/pubmed/35382922 http://dx.doi.org/10.1017/S146342362200010X |
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