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Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review
BACKGROUND: In clinical practice, research, and increasingly health surveillance, planning and costing, there is a need for high quality information to determine comorbidity information about patients. Electronic, routinely collected healthcare data is capturing increasing amounts of clinical inform...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022331/ https://www.ncbi.nlm.nih.gov/pubmed/24751124 http://dx.doi.org/10.1186/1756-0500-7-253 |
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author | Soo, Martin Robertson, Lynn M Ali, Tariq Clark, Laura E Fluck, Nicholas Johnston, Marjorie Marks, Angharad Prescott, Gordon J Smith, William Cairns S Black, Corri |
author_facet | Soo, Martin Robertson, Lynn M Ali, Tariq Clark, Laura E Fluck, Nicholas Johnston, Marjorie Marks, Angharad Prescott, Gordon J Smith, William Cairns S Black, Corri |
author_sort | Soo, Martin |
collection | PubMed |
description | BACKGROUND: In clinical practice, research, and increasingly health surveillance, planning and costing, there is a need for high quality information to determine comorbidity information about patients. Electronic, routinely collected healthcare data is capturing increasing amounts of clinical information as part of routine care. The aim of this study was to assess the validity of routine hospital administrative data to determine comorbidity, as compared with clinician-based case note review, in a large cohort of patients with chronic kidney disease. METHODS: A validation study using record linkage. Routine hospital administrative data were compared with clinician-based case note review comorbidity data in a cohort of 3219 patients with chronic kidney disease. To assess agreement, we calculated prevalence, kappa statistic, sensitivity, specificity, positive predictive value and negative predictive value. Subgroup analyses were also performed. RESULTS: Median age at index date was 76.3 years, 44% were male, 67% had stage 3 chronic kidney disease and 31% had at least three comorbidities. For most comorbidities, we found a higher prevalence recorded from case notes compared with administrative data. The best agreement was found for cerebrovascular disease (κ = 0.80) ischaemic heart disease (κ = 0.63) and diabetes (κ = 0.65). Hypertension, peripheral vascular disease and dementia showed only fair agreement (κ = 0.28, 0.39, 0.38 respectively) and smoking status was found to be poorly recorded in administrative data. The patterns of prevalence across subgroups were as expected and for most comorbidities, agreement between case note and administrative data was similar. Agreement was less, however, in older ages and for those with three or more comorbidities for some conditions. CONCLUSIONS: This study demonstrates that hospital administrative comorbidity data compared moderately well with case note review data for cerebrovascular disease, ischaemic heart disease and diabetes, however there was significant under-recording of some other comorbid conditions, and particularly common risk factors. |
format | Online Article Text |
id | pubmed-4022331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40223312014-05-16 Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review Soo, Martin Robertson, Lynn M Ali, Tariq Clark, Laura E Fluck, Nicholas Johnston, Marjorie Marks, Angharad Prescott, Gordon J Smith, William Cairns S Black, Corri BMC Res Notes Research Article BACKGROUND: In clinical practice, research, and increasingly health surveillance, planning and costing, there is a need for high quality information to determine comorbidity information about patients. Electronic, routinely collected healthcare data is capturing increasing amounts of clinical information as part of routine care. The aim of this study was to assess the validity of routine hospital administrative data to determine comorbidity, as compared with clinician-based case note review, in a large cohort of patients with chronic kidney disease. METHODS: A validation study using record linkage. Routine hospital administrative data were compared with clinician-based case note review comorbidity data in a cohort of 3219 patients with chronic kidney disease. To assess agreement, we calculated prevalence, kappa statistic, sensitivity, specificity, positive predictive value and negative predictive value. Subgroup analyses were also performed. RESULTS: Median age at index date was 76.3 years, 44% were male, 67% had stage 3 chronic kidney disease and 31% had at least three comorbidities. For most comorbidities, we found a higher prevalence recorded from case notes compared with administrative data. The best agreement was found for cerebrovascular disease (κ = 0.80) ischaemic heart disease (κ = 0.63) and diabetes (κ = 0.65). Hypertension, peripheral vascular disease and dementia showed only fair agreement (κ = 0.28, 0.39, 0.38 respectively) and smoking status was found to be poorly recorded in administrative data. The patterns of prevalence across subgroups were as expected and for most comorbidities, agreement between case note and administrative data was similar. Agreement was less, however, in older ages and for those with three or more comorbidities for some conditions. CONCLUSIONS: This study demonstrates that hospital administrative comorbidity data compared moderately well with case note review data for cerebrovascular disease, ischaemic heart disease and diabetes, however there was significant under-recording of some other comorbid conditions, and particularly common risk factors. BioMed Central 2014-04-21 /pmc/articles/PMC4022331/ /pubmed/24751124 http://dx.doi.org/10.1186/1756-0500-7-253 Text en Copyright © 2014 Soo 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 credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Soo, Martin Robertson, Lynn M Ali, Tariq Clark, Laura E Fluck, Nicholas Johnston, Marjorie Marks, Angharad Prescott, Gordon J Smith, William Cairns S Black, Corri Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title | Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title_full | Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title_fullStr | Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title_full_unstemmed | Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title_short | Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
title_sort | approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022331/ https://www.ncbi.nlm.nih.gov/pubmed/24751124 http://dx.doi.org/10.1186/1756-0500-7-253 |
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