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Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life

BACKGROUND: Measures of multimorbidity are often applied to source data, populations or outcomes outside the scope of their original developmental work. As the development of a multimorbidity measure is influenced by the population and outcome used, these influences should be taken into account when...

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Autores principales: Fortin, Martin, Hudon, Catherine, Dubois, Marie-France, Almirall, José, Lapointe, Lise, Soubhi, Hassan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1310518/
https://www.ncbi.nlm.nih.gov/pubmed/16305743
http://dx.doi.org/10.1186/1477-7525-3-74
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author Fortin, Martin
Hudon, Catherine
Dubois, Marie-France
Almirall, José
Lapointe, Lise
Soubhi, Hassan
author_facet Fortin, Martin
Hudon, Catherine
Dubois, Marie-France
Almirall, José
Lapointe, Lise
Soubhi, Hassan
author_sort Fortin, Martin
collection PubMed
description BACKGROUND: Measures of multimorbidity are often applied to source data, populations or outcomes outside the scope of their original developmental work. As the development of a multimorbidity measure is influenced by the population and outcome used, these influences should be taken into account when selecting a multimorbidity index. The aim of this study was to compare the strength of the association of health-related quality of life (HRQOL) with three multimorbidity indices: the Cumulative Illness Rating Scale (CIRS), the Charlson index (Charlson) and the Functional Comorbidity Index (FCI). The first two indices were not developed in light of HRQOL. METHODS: We used data on chronic diseases and on the SF-36 questionnaire assessing HRQOL of 238 adult primary care patients who participated in a previous study. We extracted all the diagnoses for every patient from chart review to score the CIRS, the FCI and the Charlson. Data for potential confounders (age, sex, self-perceived economic status and self-perceived social support) were also collected. We calculated the Pearson correlation coefficients (r) of the SF-36 scores with the three measures of multimorbidity, as well as the coefficient of determination, R(2), while controlling for confounders. RESULTS: The r values for the CIRS (range: -0.55 to -0.18) were always higher than those for the FCI (-0.47 to -0.10) and Charlson (-0.31 to -0.04) indices. The CIRS explained the highest percent of variation in all scores of the SF-36, except for the Mental Component Summary Score where the variation was not significant. Variations explained by the FCI were significant in all scores of SF-36 measuring physical health and in two scales evaluating mental health. Variations explained by the Charlson were significant in only three scores measuring physical health. CONCLUSION: The CIRS is a better choice as a measure of multimorbidity than the FCI and the Charlson when HRQOL is the outcome of interest. However, the FCI may provide a good option to evaluate the physical aspect of HRQOL for the ease in its administration and scoring. The Charlson index may not be recommended as a measure of multimorbidity in studies related to either physical or mental aspects of HRQOL.
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spelling pubmed-13105182005-12-10 Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life Fortin, Martin Hudon, Catherine Dubois, Marie-France Almirall, José Lapointe, Lise Soubhi, Hassan Health Qual Life Outcomes Research BACKGROUND: Measures of multimorbidity are often applied to source data, populations or outcomes outside the scope of their original developmental work. As the development of a multimorbidity measure is influenced by the population and outcome used, these influences should be taken into account when selecting a multimorbidity index. The aim of this study was to compare the strength of the association of health-related quality of life (HRQOL) with three multimorbidity indices: the Cumulative Illness Rating Scale (CIRS), the Charlson index (Charlson) and the Functional Comorbidity Index (FCI). The first two indices were not developed in light of HRQOL. METHODS: We used data on chronic diseases and on the SF-36 questionnaire assessing HRQOL of 238 adult primary care patients who participated in a previous study. We extracted all the diagnoses for every patient from chart review to score the CIRS, the FCI and the Charlson. Data for potential confounders (age, sex, self-perceived economic status and self-perceived social support) were also collected. We calculated the Pearson correlation coefficients (r) of the SF-36 scores with the three measures of multimorbidity, as well as the coefficient of determination, R(2), while controlling for confounders. RESULTS: The r values for the CIRS (range: -0.55 to -0.18) were always higher than those for the FCI (-0.47 to -0.10) and Charlson (-0.31 to -0.04) indices. The CIRS explained the highest percent of variation in all scores of the SF-36, except for the Mental Component Summary Score where the variation was not significant. Variations explained by the FCI were significant in all scores of SF-36 measuring physical health and in two scales evaluating mental health. Variations explained by the Charlson were significant in only three scores measuring physical health. CONCLUSION: The CIRS is a better choice as a measure of multimorbidity than the FCI and the Charlson when HRQOL is the outcome of interest. However, the FCI may provide a good option to evaluate the physical aspect of HRQOL for the ease in its administration and scoring. The Charlson index may not be recommended as a measure of multimorbidity in studies related to either physical or mental aspects of HRQOL. BioMed Central 2005-11-23 /pmc/articles/PMC1310518/ /pubmed/16305743 http://dx.doi.org/10.1186/1477-7525-3-74 Text en Copyright © 2005 Fortin 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
Fortin, Martin
Hudon, Catherine
Dubois, Marie-France
Almirall, José
Lapointe, Lise
Soubhi, Hassan
Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title_full Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title_fullStr Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title_full_unstemmed Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title_short Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
title_sort comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1310518/
https://www.ncbi.nlm.nih.gov/pubmed/16305743
http://dx.doi.org/10.1186/1477-7525-3-74
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