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. 1985 Dec;75(12):1385–1388. doi: 10.2105/ajph.75.12.1385

Measuring the accuracy of vital status data in cohort studies.

M J Fett
PMCID: PMC1646446  PMID: 4061708

Abstract

To measure the quality of vital status data in a retrospective cohort study of mortality among former servicemen of the Vietnam Conflict era, test subjects of independently determined vital status were included among study subjects during vital status ascertainment procedures. This allowed for differentiation between vital status "unknown" and incorrect assignment of vital status, and enabled measurement of the quality of both live and deceased vital status data. Four parameters based on sensitivity and specificity were used to express the quality of vital status data. The deceased specificity rate was 100 per cent, the deceased sensitivity rate was 95.7 per cent, the live specificity rate was 98.5 per cent, and the live sensitivity rate was 95.4 per cent. Using models of misclassification, the estimated death rate was found to be most sensitive to changes in the deceased specificity rate, indicating that emphasis should be given to minimizing incorrect ascertainment of truly alive subjects as deceased when developing vital status ascertainment procedures.

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Selected References

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  1. Austin M. A., Berreyesa S., Elliott J. L., Wallace R. B., Barrett-Connor E., Criqui M. H. Methods for determining long-term survival in a population based study. Am J Epidemiol. 1979 Dec;110(6):747–752. doi: 10.1093/oxfordjournals.aje.a112856. [DOI] [PubMed] [Google Scholar]
  2. Beaumont J. J., Weiss N. S. Mortality of welders, shipfitters, and other metal trades workers in boilermakers Local No. 104, AFL-CIO. Am J Epidemiol. 1980 Dec;112(6):775–786. [PubMed] [Google Scholar]
  3. Berry G. The analysis of mortality by the subject-years method. Biometrics. 1983 Mar;39(1):173–184. [PubMed] [Google Scholar]
  4. Copeland K. T., Checkoway H., McMichael A. J., Holbrook R. H. Bias due to misclassification in the estimation of relative risk. Am J Epidemiol. 1977 May;105(5):488–495. doi: 10.1093/oxfordjournals.aje.a112408. [DOI] [PubMed] [Google Scholar]
  5. Decoufle P., Wood D. J. Mortality patterns among workers in a gray iron foundry. Am J Epidemiol. 1979 Jun;109(6):667–675. doi: 10.1093/oxfordjournals.aje.a112730. [DOI] [PubMed] [Google Scholar]
  6. Delzell E., Monson R. R. Mortality among rubber workers: V. processing workers. J Occup Med. 1982 Jul;24(7):539–545. [PubMed] [Google Scholar]
  7. Fett M. J. The development of matching criteria for epidemiological studies using record linkage techniques. Int J Epidemiol. 1984 Sep;13(3):351–355. doi: 10.1093/ije/13.3.351. [DOI] [PubMed] [Google Scholar]
  8. Modan B. Some methodological aspects of a retrospective follow-up study. Am J Epidemiol. 1965 Nov;82(3):297–304. doi: 10.1093/oxfordjournals.aje.a120550. [DOI] [PubMed] [Google Scholar]
  9. Ott M. G., Holder B. B., Langner R. R. Determinants of mortality in an industrial population. J Occup Med. 1976 Mar;18(3):171–177. doi: 10.1097/00043764-197603000-00011. [DOI] [PubMed] [Google Scholar]
  10. Quade D., Lachenbruch P. A., Whaley F. S., McClish D. K., Haley R. W. Effects of misclassifications on statistical inferences in epidemiology. Am J Epidemiol. 1980 May;111(5):503–515. doi: 10.1093/oxfordjournals.aje.a112930. [DOI] [PubMed] [Google Scholar]
  11. Reyes M., Stebbings J. H., Voelz G. L. Evaluation of Social Security follow-up of some southwestern populations. J Occup Med. 1982 Mar;24(3):198–202. doi: 10.1097/00043764-198203000-00011. [DOI] [PubMed] [Google Scholar]
  12. Rogot E., Feinleib M., Ockay K. A., Schwartz S. H., Bilgrad R., Patterson J. E. On the feasibility of linking census samples to the National Death Index for epidemiologic studies: a progress report. Am J Public Health. 1983 Nov;73(11):1265–1269. doi: 10.2105/ajph.73.11.1265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Seltzer C. C., Jablon S. Effects of selection on mortality. Am J Epidemiol. 1974 Nov;100(5):367–372. doi: 10.1093/oxfordjournals.aje.a112047. [DOI] [PubMed] [Google Scholar]
  14. Shindell S., Weisberg R. F., Giefer E. E. The "healthy worker effect"--fact or artifact? J Occup Med. 1978 Dec;20(12):807–811. [PubMed] [Google Scholar]
  15. Sims A. C. Importance of a high tracing-rate in long-term medical follow-up studies. Lancet. 1973 Aug 25;2(7826):433–435. doi: 10.1016/s0140-6736(73)92287-3. [DOI] [PubMed] [Google Scholar]
  16. Tockman M. S. Epidemiology in the workplace: the problem of misclassification. J Occup Med. 1982 Jan;24(1):21–24. [PubMed] [Google Scholar]
  17. Wentworth D. N., Neaton J. D., Rasmussen W. L. An evaluation of the Social Security Administration master beneficiary record file and the National Death Index in the ascertainment of vital status. Am J Public Health. 1983 Nov;73(11):1270–1274. doi: 10.2105/ajph.73.11.1270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Whaley F. S., Quade D., Haley R. W. Effects of method error on the power of a statistical test. Implications of imperfect sensitivity and specificity in retrospective chart review. Am J Epidemiol. 1980 May;111(5):534–542. doi: 10.1093/oxfordjournals.aje.a112932. [DOI] [PubMed] [Google Scholar]
  19. Worth R. M., Kato H., Rhoads G. G., Kagan K., Syme S. L. Epidemiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii and California: mortality. Am J Epidemiol. 1975 Dec;102(6):481–490. doi: 10.1093/oxfordjournals.aje.a112186. [DOI] [PubMed] [Google Scholar]

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