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Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable
K H Humphries1, J M Rankin, R G Carere
1Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, BC, Canada. karinh@cheos.ubc.ca
Insights
Canadian hospitalization databases provide reliable co-morbidity data for health outcomes research. This study found good agreement between administrative data and chart reviews for conditions influencing survival after percutaneous coronary intervention.
Area of Science:
- Health outcomes research
- Cardiovascular research
- Medical informatics
Background:
- Accurate co-morbidity data is crucial for health outcomes research.
- Administrative databases are often criticized for co-morbidity data accuracy.
- Percutaneous coronary intervention (PCI) patient data requires reliable co-morbidity assessment.
Purpose of the Study:
- To compare co-morbidity data accuracy from a Canadian provincial hospitalization database against chart review.
- To assess the reliability of administrative co-morbidity data for patients undergoing PCI.
- To evaluate the impact of data source on multivariate risk models for mortality.
Main Methods:
- Retrospective comparison of co-morbidity data from administrative database versus chart review.
- Study included 817 adult patients treated with PCI between 1994-1995 at a tertiary care hospital.
- Analysis focused on agreement levels for various co-morbid conditions and impact on mortality risk models.
Main Results:
- Administrative data underestimated some co-morbid conditions but showed good to very good agreement with chart review for most.
- Lower agreement was observed for asymptomatic conditions.
- Multivariate risk models for all-cause mortality were nearly identical using both data sources, indicating minimal misclassification.
Conclusions:
- Clinical data from Canadian hospitalization databases offers reliable co-morbidity information for PCI populations.
- Administrative co-morbidity data can be effectively used in health outcomes research, particularly for survival analysis.
- The findings support the utility of administrative data for assessing baseline co-morbidities influencing outcomes in cardiovascular interventions.
Abstract:
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.
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