The importance of comorbidity in analysing patient costs in Swedish primary care

<p>Abstract</p> <p>Background</p> <p>The objective was to explore the usefulness of the morbidity risk adjustment system Adjusted Clinical Groups<sup>® </sup>(ACG), in comparison with age and gender, in explaining and estimating patient costs on an individua...

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Main Authors: Östgren Carl-Johan, Carlsson Lennart, Engström Sven G, Nilsson Gunnar H, Borgquist Lars A
Format: Article
Language:English
Published: BMC 2006-02-01
Series:BMC Public Health
Online Access:http://www.biomedcentral.com/1471-2458/6/36
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spelling doaj-358963d137de43a98fbdfd35098476152020-11-24T21:14:25ZengBMCBMC Public Health1471-24582006-02-01613610.1186/1471-2458-6-36The importance of comorbidity in analysing patient costs in Swedish primary careÖstgren Carl-JohanCarlsson LennartEngström Sven GNilsson Gunnar HBorgquist Lars A<p>Abstract</p> <p>Background</p> <p>The objective was to explore the usefulness of the morbidity risk adjustment system Adjusted Clinical Groups<sup>® </sup>(ACG), in comparison with age and gender, in explaining and estimating patient costs on an individual level in Swedish primary health care. Data were retrieved from two primary health care centres in southeastern Sweden.</p> <p>Methods</p> <p>A cross-sectional observational study. Data from electronic patient registers from the two centres were retrieved for 2001 and 2002, and patients were grouped into ACGs, expressing the individual combination of diagnoses and thus the comorbidity. Costs per patient were calculated for both years in both centres. Cost data from one centre were used to create ACG weights. These weights were then applied to patients at the other centre. Correlations between individual patient costs, age, gender and ACG weights were studied. Multiple linear regression analyses were performed in order to explain and estimate patient costs.</p> <p>Results</p> <p>The variation in individual patient costs was substantial within age groups as well as within ACG weight groups. About 37.7% of the individual patient costs could be explained by ACG weights, and age and gender added about 0.8%. The individual patient costs in 2001 estimated 22.0% of patient costs in 2002, whereas ACG weights estimated 14.3%.</p> <p>Conclusion</p> <p>ACGs was an important factor in explaining and estimating individual patient costs in primary health care. Costs were explained to only a minor extent by age and gender. However, the usefulness of the ACG system appears to be sensitive to the accuracy of classification and coding of diagnoses by physicians.</p> http://www.biomedcentral.com/1471-2458/6/36
collection DOAJ
language English
format Article
sources DOAJ
author Östgren Carl-Johan
Carlsson Lennart
Engström Sven G
Nilsson Gunnar H
Borgquist Lars A
spellingShingle Östgren Carl-Johan
Carlsson Lennart
Engström Sven G
Nilsson Gunnar H
Borgquist Lars A
The importance of comorbidity in analysing patient costs in Swedish primary care
BMC Public Health
author_facet Östgren Carl-Johan
Carlsson Lennart
Engström Sven G
Nilsson Gunnar H
Borgquist Lars A
author_sort Östgren Carl-Johan
title The importance of comorbidity in analysing patient costs in Swedish primary care
title_short The importance of comorbidity in analysing patient costs in Swedish primary care
title_full The importance of comorbidity in analysing patient costs in Swedish primary care
title_fullStr The importance of comorbidity in analysing patient costs in Swedish primary care
title_full_unstemmed The importance of comorbidity in analysing patient costs in Swedish primary care
title_sort importance of comorbidity in analysing patient costs in swedish primary care
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2006-02-01
description <p>Abstract</p> <p>Background</p> <p>The objective was to explore the usefulness of the morbidity risk adjustment system Adjusted Clinical Groups<sup>® </sup>(ACG), in comparison with age and gender, in explaining and estimating patient costs on an individual level in Swedish primary health care. Data were retrieved from two primary health care centres in southeastern Sweden.</p> <p>Methods</p> <p>A cross-sectional observational study. Data from electronic patient registers from the two centres were retrieved for 2001 and 2002, and patients were grouped into ACGs, expressing the individual combination of diagnoses and thus the comorbidity. Costs per patient were calculated for both years in both centres. Cost data from one centre were used to create ACG weights. These weights were then applied to patients at the other centre. Correlations between individual patient costs, age, gender and ACG weights were studied. Multiple linear regression analyses were performed in order to explain and estimate patient costs.</p> <p>Results</p> <p>The variation in individual patient costs was substantial within age groups as well as within ACG weight groups. About 37.7% of the individual patient costs could be explained by ACG weights, and age and gender added about 0.8%. The individual patient costs in 2001 estimated 22.0% of patient costs in 2002, whereas ACG weights estimated 14.3%.</p> <p>Conclusion</p> <p>ACGs was an important factor in explaining and estimating individual patient costs in primary health care. Costs were explained to only a minor extent by age and gender. However, the usefulness of the ACG system appears to be sensitive to the accuracy of classification and coding of diagnoses by physicians.</p>
url http://www.biomedcentral.com/1471-2458/6/36
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