Co-morbidity data in outcomes research Are clinical data derived from administrative databases a reliable alternative to chart review?

Evaluation of co-morbidity data is essential in health outcomes research. Co-morbidity data derived from administrative databases has been criticized for lacking the accuracy required for clinical research. We compared co-morbidity data derived from a Canadian provincial hospitalization database wit...

Full description

Saved in:
Bibliographic Details
Published in:Journal of clinical epidemiology 2000-04, Vol.53 (4), p.343-349
Main Authors: Humphries, Karin H., Rankin, James M., Carere, Ronald G., Buller, Christopher E., Kiely, F.Michael, Spinelli, John J.
Format: Article
Language:English
Subjects:
Administrative database
Adult
Angioplasty, Balloon, Coronary - statistics & numerical data
British Columbia - epidemiology
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - therapy
Chi-Square Distribution
Co-morbidity
Comorbidity
Databases, Factual - statistics & numerical data
Hospital Records - statistics & numerical data
Hospitalization - statistics & numerical data
Humans
Medical Audit - statistics & numerical data
Outcome Assessment (Health Care) - statistics & numerical data
Percutaneous coronary intervention
Prevalence
Proportional Hazards Models
Risk
Risk adjustment
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Evaluation of co-morbidity data is essential in health outcomes research. Co-morbidity data derived from administrative databases has been criticized for lacking the accuracy required for clinical research. We compared co-morbidity data derived from a Canadian provincial hospitalization database with chart review in 817 adults treated with a percutaneous coronary intervention at a single tertiary care hospital between 1994 and 1995. While the administrative database tended to under-estimate the prevalence of some co-morbid conditions, the agreement between chart review and administrative data was good to very good for most conditions. Asymptomatic conditions were noted to have lower levels of agreement. Multivariate risk models for all-cause mortality constructed from both data sources were almost identical, suggesting minimal misclassification. The results indicate that clinical data abstracted from most Canadian hospitalization databases can provide reliable information regarding baseline co-morbid conditions believed to influence survival in a population undergoing percutaneous coronary interventions.
ISSN:0895-4356
1878-5921
DOI:10.1016/S0895-4356(99)00188-2