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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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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. |
format | Text |
id | pubmed-1310518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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