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Using hospital discharge files to enhance cancer surveillance.
- Source :
-
American journal of epidemiology [Am J Epidemiol] 2003 Jul 01; Vol. 158 (1), pp. 27-34. - Publication Year :
- 2003
-
Abstract
- Use of the traditional mechanism for cancer surveillance, hospital-based registries, may limit ascertainment of incident cases. In this study, the authors evaluated the ability of a statewide hospital discharge file (HDF) to enhance central cancer registry reporting. Incident cancers from a Virginia cancer registry were linked with an HDF for 1995. Medical record abstractions for over 2,000 cancers verified HDF and registry data. There were 19,740 unique cases ascertained from the two combined data sources. The registry captured approximately 83% of cases, while the HDF captured 62%. Although the HDF missed a substantial number of registry cases, the HDF positive predictive value for identifying the correct cancer site was 94%. Logistic regression was used to identify significant characteristics of cases likely to be captured only by the HDF; these characteristics included hospital cancer program certification, the position of the cancer diagnosis on the claim, and cancer surgery. This study represents the evaluation of a novel approach to enhancing registry completeness and accuracy using statewide HDFs. The results strongly suggest that neither a central cancer registry nor an HDF is a sufficient source for complete capture of cases. Using HDFs to supplement a central cancer registry may be a valuable and efficient method for improving registry completeness of reporting.
- Subjects :
- Aged
Data Collection methods
Diagnosis-Related Groups statistics & numerical data
Female
Hospital Records standards
Hospital Records statistics & numerical data
Humans
Incidence
Male
Medical Record Linkage
Neoplasms etiology
Population Surveillance methods
Registries statistics & numerical data
Regression Analysis
Reproducibility of Results
Sensitivity and Specificity
Virginia epidemiology
Neoplasms epidemiology
Patient Discharge statistics & numerical data
Registries standards
Subjects
Details
- Language :
- English
- ISSN :
- 0002-9262
- Volume :
- 158
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- American journal of epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 12835284
- Full Text :
- https://doi.org/10.1093/aje/kwg108