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The California Automated Mortality Linkage System (CAMLIS).

M G Arellano, G R Petersen, D B Petitti

    American Journal of Public Health
    |December 1, 1984
    PubMed
    Summary

    The California Automated Mortality Linkage System (CAMLIS) effectively performs death clearance for follow-up studies. It demonstrates high sensitivity and specificity, comparable to or exceeding traditional methods like the National Death Index.

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    Area of Science:

    • Public Health
    • Biostatistics
    • Epidemiology

    Background:

    • The California Automated Mortality Linkage System (CAMLIS) was established in 1981 to aid follow-up studies in California.
    • Effective death clearance is crucial for accurate epidemiological research and public health surveillance.

    Purpose of the Study:

    • To evaluate the performance of the California Automated Mortality Linkage System (CAMLIS) for death clearance.
    • To compare CAMLIS's accuracy against traditional death clearance procedures.

    Main Methods:

    • CAMLIS utilizes a combination of deterministic and probabilistic linkage criteria.
    • The system's performance was assessed using sensitivity and specificity metrics.
    • Comparisons were made against the Social Security Administration, the National Death Index (NDI), and manual search procedures.

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    Main Results:

    • CAMLIS demonstrated high specificity, with most evaluations exceeding 0.99, and one at 0.93.
    • Sensitivity varied, with CAMLIS achieving 0.97 compared to 0.79 for the Social Security Administration.
    • CAMLIS showed a sensitivity of 0.89 versus 0.94 for the NDI, and 0.92 versus 0.93 for a manual Japanese name search.
    • Predictive values for CAMLIS ranged from 0.93 to 0.99, significantly higher than the NDI's 0.59.

    Conclusions:

    • CAMLIS provides a reliable method for death clearance in California.
    • The system's performance is competitive with, and in some aspects superior to, established national and manual methods.
    • CAMLIS offers high predictive value in identifying deceased individuals for research purposes.