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

被引：132

作者：

Fortin M. ^{[1
,2
]}

Hudon C. ^{[1
,2
]}

Dubois M.-F. ^{[3
,4
]}

Almirall J. ^{[2
]}

Lapointe L. ^{[2
]}

Soubhi H. ^{[1
,2
]}

机构：

[1] Department of Family Medicine, Sherbrooke University, Sherbrooke, Que.

[2] Centre de Santé et de Services Sociaux de Chicoutimi, Chicoutimi, Que.

[3] Department of Community Health Sciences, Sherbrooke University, Sherbrooke, Que.

[4] Research Center on Aging, Sherbrooke University, Geriatric Institute, Sherbrooke, Que.

来源：

Health and Quality of Life Outcomes | / 3卷 / 1期

关键词：

Mental Component Summary; Physical Aspect; Mental Component Summary Score; Charlson Index; Mental Aspect;

D O I：

10.1186/1477-7525-3-74

中图分类号：

学科分类号：

摘要：

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, R2 , 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. Conclusions: 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. © 2005 Fortin et al., licensee BioMed Central Ltd.

引用

页数：15

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