Skip to main content
PMC home page
Proceedings of the Annual Symposium on Computer Application in Medical Care logoLink to Proceedings of the Annual Symposium on Computer Application in Medical Care
. 1995:397–401.

Comparison of probabilistic and deterministic record linkage in the development of a statewide trauma registry.

D E Clark 1, D R Hahn 1
PMCID: PMC2579122  PMID: 8563310

Abstract

We have been working to develop a statewide injury surveillance system using not only hospital-based trauma registries but also other sources of data (including ambulance run reports, hospital discharge abstracts, and death certificates). For this purpose, a commercially available probabilistic matching program was compared to the deterministic program described previously. Using the same data preprocessing and linkage strategy, we programmed the probabilistic software to perform the matching step and compared the results with those obtained from the previously tested program. The outcomes using our data were similar, but we expect the probabilistic program to be more adaptable for general use, especially if large amounts of data must be linked.

Full text

PDF
397

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Baker S. P., Whitfield R. A., O'Neill B. Geographic variations in mortality from motor vehicle crashes. N Engl J Med. 1987 May 28;316(22):1384–1387. doi: 10.1056/NEJM198705283162206. [DOI] [PubMed] [Google Scholar]
  2. Clark D. E. Development of a statewide trauma registry using multiple linked sources of data. Proc Annu Symp Comput Appl Med Care. 1993:654–658. [PMC free article] [PubMed] [Google Scholar]
  3. Ferrante A. M., Rosman D. L., Knuiman M. W. The construction of a road injury database. Accid Anal Prev. 1993 Dec;25(6):659–665. doi: 10.1016/0001-4575(93)90031-q. [DOI] [PubMed] [Google Scholar]
  4. Grossman D. C., Hart L. G., Rivara F. P., Maier R. V., Rosenblatt R. From roadside to bedside: the regionalization of trauma care in a remote rural county. J Trauma. 1995 Jan;38(1):14–21. doi: 10.1097/00005373-199501000-00006. [DOI] [PubMed] [Google Scholar]
  5. Jaro M. A. Probabilistic linkage of large public health data files. 1995 Mar 15-Apr 15Stat Med. 14(5-7):491–498. doi: 10.1002/sim.4780140510. [DOI] [PubMed] [Google Scholar]
  6. Kircher T., Nelson J., Burdo H. The autopsy as a measure of accuracy of the death certificate. N Engl J Med. 1985 Nov 14;313(20):1263–1269. doi: 10.1056/NEJM198511143132005. [DOI] [PubMed] [Google Scholar]
  7. MacKenzie E. J., Shapiro S., Eastham J. N., Jr Rating AIS severity using emergency department sheets vs. inpatient charts. J Trauma. 1985 Oct;25(10):984–988. doi: 10.1097/00005373-198510000-00010. [DOI] [PubMed] [Google Scholar]
  8. MacKenzie E. J., Steinwachs D. M., Ramzy A. I. Evaluating performance of statewide regionalized systems of trauma care. J Trauma. 1990 Jun;30(6):681–688. doi: 10.1097/00005373-199006000-00005. [DOI] [PubMed] [Google Scholar]
  9. Moyer L. A., Boyle C. A., Pollock D. A. Validity of death certificates for injury-related causes of death. Am J Epidemiol. 1989 Nov;130(5):1024–1032. doi: 10.1093/oxfordjournals.aje.a115403. [DOI] [PubMed] [Google Scholar]
  10. Smith G. S., Langlois J. A., Buechner J. S. Methodological issues in using hospital discharge data to determine the incidence of hospitalized injuries. Am J Epidemiol. 1991 Nov 15;134(10):1146–1158. doi: 10.1093/oxfordjournals.aje.a116018. [DOI] [PubMed] [Google Scholar]
  11. Young J. C., Macioce D. P., Young W. W. Identifying injuries and trauma severity in large databases. J Trauma. 1990 Oct;30(10):1220–1230. doi: 10.1097/00005373-199010000-00006. [DOI] [PubMed] [Google Scholar]

Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association

RESOURCES