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Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project

BACKGROUND: Due to technological progress and improvements in medical care and health policy the average age of patients in primary care is continuously growing. In equal measure, an increasing proportion of mostly elderly primary care patients presents with multiple coexisting medical conditions. T...

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Detalles Bibliográficos
Autores principales: Laux, Gunter, Kuehlein, Thomas, Rosemann, Thomas, Szecsenyi, Joachim
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2244601/
https://www.ncbi.nlm.nih.gov/pubmed/18205916
http://dx.doi.org/10.1186/1472-6963-8-14
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author Laux, Gunter
Kuehlein, Thomas
Rosemann, Thomas
Szecsenyi, Joachim
author_facet Laux, Gunter
Kuehlein, Thomas
Rosemann, Thomas
Szecsenyi, Joachim
author_sort Laux, Gunter
collection PubMed
description BACKGROUND: Due to technological progress and improvements in medical care and health policy the average age of patients in primary care is continuously growing. In equal measure, an increasing proportion of mostly elderly primary care patients presents with multiple coexisting medical conditions. To properly assess the current situation of co- and multimorbidity, valid scientific data based on an appropriate data structure are indispensable. CONTENT (CONTinuous morbidity registration Epidemiologic NeTwork) is an ambitious project in Germany to establish a system for adequate record keeping and analysis in primary care based on episodes of care. An episode is defined as health problem from its first presentation by a patient to a doctor until the completion of the last encounter for it. The study aims to describe co- and multimorbidity as well as health care utilization based on episodes of care for the study population of the first participating general practices. METHODS: The analyses were based on a total of 39,699 patients in a yearly contact group (YCG) out of 17 general practices in Germany for which data entry based on episodes of care using the International Classification of Primary Care (ICPC) was performed between 1.1.2006 and 31.12.2006. In order to model the relationship between the explanatory variables (age, gender, number of chronic conditions) and the response variables of interest (number of different prescriptions, number of referrals, number of encounters) that were applied to measure health care utilization, we used multiple linear regression. RESULTS: In comparison to gender, patients' age had a manifestly stronger impact on the number of different prescriptions, the number of referrals and number of encounters. In comparison to age (β = 0.043, p < 0.0001), multimorbidity measured by the number of patients' chronic conditions (β = 0.51, p < 0.0001) had a manifestly stronger impact the number of encounters for the observation period. Moreover, we could observe that the number of patients' chronic conditions had a significant impact on the number of different prescriptions (β = 0.226, p < 0.0001) as well as on the number of referrals (β = 0.3, p < 0.0001). CONCLUSION: Documentation in primary care on the basis of episodes of care facilitates an insight to concurrently existing health problems and related medical procedures. Therefore, the resulting data provide a basis to obtain co- and multimorbidity patterns and corresponding health care utilization issues in order to understand the particular complex needs caused by multimorbidity.
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spelling pubmed-22446012008-02-15 Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project Laux, Gunter Kuehlein, Thomas Rosemann, Thomas Szecsenyi, Joachim BMC Health Serv Res Research Article BACKGROUND: Due to technological progress and improvements in medical care and health policy the average age of patients in primary care is continuously growing. In equal measure, an increasing proportion of mostly elderly primary care patients presents with multiple coexisting medical conditions. To properly assess the current situation of co- and multimorbidity, valid scientific data based on an appropriate data structure are indispensable. CONTENT (CONTinuous morbidity registration Epidemiologic NeTwork) is an ambitious project in Germany to establish a system for adequate record keeping and analysis in primary care based on episodes of care. An episode is defined as health problem from its first presentation by a patient to a doctor until the completion of the last encounter for it. The study aims to describe co- and multimorbidity as well as health care utilization based on episodes of care for the study population of the first participating general practices. METHODS: The analyses were based on a total of 39,699 patients in a yearly contact group (YCG) out of 17 general practices in Germany for which data entry based on episodes of care using the International Classification of Primary Care (ICPC) was performed between 1.1.2006 and 31.12.2006. In order to model the relationship between the explanatory variables (age, gender, number of chronic conditions) and the response variables of interest (number of different prescriptions, number of referrals, number of encounters) that were applied to measure health care utilization, we used multiple linear regression. RESULTS: In comparison to gender, patients' age had a manifestly stronger impact on the number of different prescriptions, the number of referrals and number of encounters. In comparison to age (β = 0.043, p < 0.0001), multimorbidity measured by the number of patients' chronic conditions (β = 0.51, p < 0.0001) had a manifestly stronger impact the number of encounters for the observation period. Moreover, we could observe that the number of patients' chronic conditions had a significant impact on the number of different prescriptions (β = 0.226, p < 0.0001) as well as on the number of referrals (β = 0.3, p < 0.0001). CONCLUSION: Documentation in primary care on the basis of episodes of care facilitates an insight to concurrently existing health problems and related medical procedures. Therefore, the resulting data provide a basis to obtain co- and multimorbidity patterns and corresponding health care utilization issues in order to understand the particular complex needs caused by multimorbidity. BioMed Central 2008-01-18 /pmc/articles/PMC2244601/ /pubmed/18205916 http://dx.doi.org/10.1186/1472-6963-8-14 Text en Copyright © 2008 Laux 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
Laux, Gunter
Kuehlein, Thomas
Rosemann, Thomas
Szecsenyi, Joachim
Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title_full Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title_fullStr Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title_full_unstemmed Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title_short Co- and multimorbidity patterns in primary care based on episodes of care: results from the German CONTENT project
title_sort co- and multimorbidity patterns in primary care based on episodes of care: results from the german content project
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2244601/
https://www.ncbi.nlm.nih.gov/pubmed/18205916
http://dx.doi.org/10.1186/1472-6963-8-14
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