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The functional comorbidity index had high inter-rater reliability in patients with acute lung injury
BACKGROUND: The Functional Comorbidity Index (FCI) was recently developed to predict physical function in acute lung injury patients using comorbidity data. Our objectives were to determine: (1) the inter-rater reliability of the FCI collected using in-patient discharge summaries (primary objective)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517372/ https://www.ncbi.nlm.nih.gov/pubmed/22974239 http://dx.doi.org/10.1186/1471-2253-12-21 |
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author | Fan, Eddy Gifford, Jeneen M Chandolu, Satish Colantuoni, Elizabeth Pronovost, Peter J Needham, Dale M |
author_facet | Fan, Eddy Gifford, Jeneen M Chandolu, Satish Colantuoni, Elizabeth Pronovost, Peter J Needham, Dale M |
author_sort | Fan, Eddy |
collection | PubMed |
description | BACKGROUND: The Functional Comorbidity Index (FCI) was recently developed to predict physical function in acute lung injury patients using comorbidity data. Our objectives were to determine: (1) the inter-rater reliability of the FCI collected using in-patient discharge summaries (primary objective); and (2) the accuracy and predictive validity of the FCI collected using hospital discharge summaries and admission records versus complete chart review (secondary objectives). METHODS: For reliability, we evaluated the FCI’s intraclass correlation coefficient (ICC) among trained research staff performing data collection for 421 acute lung injury patients enrolled in a prospective cohort study. For validity and accuracy, we compared the detection of FCI comorbidities across three types of inpatient medical records, and the association of the respective FCI scores obtained with patients’ SF-36 physical function subscale (PFS) scores at 1-year follow-up. RESULTS: Inter-rater reliability was near-perfect (ICC 0.91; 95% CI 0.89-0.94). Hospital admission records and discharge summaries (vs. complete chart review) significantly underestimated the total FCI score. However, using multivariable linear regression, FCI scores collected using each of the three types of inpatient medical records had similar associations with PFS, suggesting similar predictive value. CONCLUSIONS: Data collection using in-patient discharge summaries represents a reliable and valid method for collecting FCI comorbidity information. |
format | Online Article Text |
id | pubmed-3517372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35173722012-12-08 The functional comorbidity index had high inter-rater reliability in patients with acute lung injury Fan, Eddy Gifford, Jeneen M Chandolu, Satish Colantuoni, Elizabeth Pronovost, Peter J Needham, Dale M BMC Anesthesiol Research Article BACKGROUND: The Functional Comorbidity Index (FCI) was recently developed to predict physical function in acute lung injury patients using comorbidity data. Our objectives were to determine: (1) the inter-rater reliability of the FCI collected using in-patient discharge summaries (primary objective); and (2) the accuracy and predictive validity of the FCI collected using hospital discharge summaries and admission records versus complete chart review (secondary objectives). METHODS: For reliability, we evaluated the FCI’s intraclass correlation coefficient (ICC) among trained research staff performing data collection for 421 acute lung injury patients enrolled in a prospective cohort study. For validity and accuracy, we compared the detection of FCI comorbidities across three types of inpatient medical records, and the association of the respective FCI scores obtained with patients’ SF-36 physical function subscale (PFS) scores at 1-year follow-up. RESULTS: Inter-rater reliability was near-perfect (ICC 0.91; 95% CI 0.89-0.94). Hospital admission records and discharge summaries (vs. complete chart review) significantly underestimated the total FCI score. However, using multivariable linear regression, FCI scores collected using each of the three types of inpatient medical records had similar associations with PFS, suggesting similar predictive value. CONCLUSIONS: Data collection using in-patient discharge summaries represents a reliable and valid method for collecting FCI comorbidity information. BioMed Central 2012-09-13 /pmc/articles/PMC3517372/ /pubmed/22974239 http://dx.doi.org/10.1186/1471-2253-12-21 Text en Copyright ©2012 Fan 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 Fan, Eddy Gifford, Jeneen M Chandolu, Satish Colantuoni, Elizabeth Pronovost, Peter J Needham, Dale M The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title | The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title_full | The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title_fullStr | The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title_full_unstemmed | The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title_short | The functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
title_sort | functional comorbidity index had high inter-rater reliability in patients with acute lung injury |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517372/ https://www.ncbi.nlm.nih.gov/pubmed/22974239 http://dx.doi.org/10.1186/1471-2253-12-21 |
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