Literature DB >> 6507683

The California Automated Mortality Linkage System (CAMLIS).

M G Arellano, G R Petersen, D B Petitti, R E Smith.   

Abstract

The California Automated Mortality Linkage System (CAMLIS), established in 1981 to facilitate the conduct of follow-up studies in the State of California, employs a combination of deterministic and probabilistic linkage decision criteria to perform the death clearance function. The system was evaluated against four traditional death clearance procedures and the performance of each procedure measured in terms of measures of sensitivity and specificity. Only one procedure was associated with a specificity lower than 0.99; for that one, the specificity was 0.93. There was much greater fluctuation in the observed sensitivity levels. In one of the procedures, CAMLIS demonstrated a sensitivity of 0.97 versus 0.79 for the Social Security Administration. A comparison against the National Death Index (NDI) produced sensitivities of 0.89 for CAMLIS and 0.94 for the NDI. An assessment of manual search procedures using a file of Japanese names produced a CAMLIS sensitivity measure of 0.92 compared with 0.93 for the manual search. Another manual search procedure using microfiche copies of the state death index produced a CAMLIS sensitivity of 0.97; in this evaluation, the sensitivity of the manual search was defined as 1.0. Another measure of performance of a death clearance procedure is its predictive value in identifying a person who has died; CAMLIS generated predictive values in these evaluations that ranged from 0.93 through 0.99, contrasted with the NDI value of 0.59.

Entities:  

Mesh:

Year:  1984        PMID: 6507683      PMCID: PMC1652697          DOI: 10.2105/ajph.74.12.1324

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  8 in total

1.  Automatic linkage of vital records.

Authors:  H B NEWCOMBE; J M KENNEDY; S J AXFORD; A P JAMES
Journal:  Science       Date:  1959-10-16       Impact factor: 47.728

2.  Accuracies of computer versus manual linkages of routine health records.

Authors:  M E Smith; H B Newcombe
Journal:  Methods Inf Med       Date:  1979-04       Impact factor: 2.176

3.  On the feasibility of linking census samples to the National Death Index for epidemiologic studies: a progress report.

Authors:  E Rogot; M Feinleib; K A Ockay; S H Schwartz; R Bilgrad; J E Patterson
Journal:  Am J Public Health       Date:  1983-11       Impact factor: 9.308

4.  An evaluation of the Social Security Administration master beneficiary record file and the National Death Index in the ascertainment of vital status.

Authors:  D N Wentworth; J D Neaton; W L Rasmussen
Journal:  Am J Public Health       Date:  1983-11       Impact factor: 9.308

5.  An operational approach to record linkage.

Authors:  M P Mi; J T Kagawa; M E Earle
Journal:  Methods Inf Med       Date:  1983-04       Impact factor: 2.176

6.  A generalized iterative record linkage computer system for use in medical follow-up studies.

Authors:  G R Howe; J Lindsay
Journal:  Comput Biomed Res       Date:  1981-08

7.  Record linkage systems--Canada vs the United States.

Authors:  G W Beebe
Journal:  Am J Public Health       Date:  1980-12       Impact factor: 9.308

8.  Record linking: the design of efficient systems for linking records into individual and family histories.

Authors:  H B Newcombe
Journal:  Am J Hum Genet       Date:  1967-05       Impact factor: 11.025

  8 in total
  48 in total

1.  The underreporting of deaths of American Indian children in California, 1979 through 1993.

Authors:  M Epstein; R Moreno; P Bacchetti
Journal:  Am J Public Health       Date:  1997-08       Impact factor: 9.308

2.  Practical introduction to record linkage for injury research.

Authors:  D E Clark
Journal:  Inj Prev       Date:  2004-06       Impact factor: 2.399

3.  Chronic kidney disease and risk for presenting with acute myocardial infarction versus stable exertional angina in adults with coronary heart disease.

Authors:  Alan S Go; Nisha Bansal; Malini Chandra; Phenius V Lathon; Stephen P Fortmann; Carlos Iribarren; Chi-Yuan Hsu; Mark A Hlatky
Journal:  J Am Coll Cardiol       Date:  2011-10-04       Impact factor: 24.094

4.  Gender differences in the risk of ischemic stroke and peripheral embolism in atrial fibrillation: the AnTicoagulation and Risk factors In Atrial fibrillation (ATRIA) study.

Authors:  Margaret C Fang; Daniel E Singer; Yuchiao Chang; Elaine M Hylek; Lori E Henault; Nancy G Jensvold; Alan S Go
Journal:  Circulation       Date:  2005-09-12       Impact factor: 29.690

5.  A survival analysis of hospitalization among patients with acquired immunodeficiency syndrome.

Authors:  C P Quesenberry; B Fireman; R A Hiatt; J V Selby
Journal:  Am J Public Health       Date:  1989-12       Impact factor: 9.308

6.  Death and disability from warfarin-associated intracranial and extracranial hemorrhages.

Authors:  Margaret C Fang; Alan S Go; Yuchiao Chang; Elaine M Hylek; Lori E Henault; Nancy G Jensvold; Daniel E Singer
Journal:  Am J Med       Date:  2007-05-24       Impact factor: 4.965

7.  Long-term Outcomes Associated With Implantable Cardioverter Defibrillator in Adults With Chronic Kidney Disease.

Authors:  Nisha Bansal; Adam Szpiro; Kristi Reynolds; David H Smith; David J Magid; Jerry H Gurwitz; Frederick Masoudi; Robert T Greenlee; Grace H Tabada; Sue Hee Sung; Ashveena Dighe; Alan S Go
Journal:  JAMA Intern Med       Date:  2018-03-01       Impact factor: 21.873

8.  Association of Burden of Atrial Fibrillation With Risk of Ischemic Stroke in Adults With Paroxysmal Atrial Fibrillation: The KP-RHYTHM Study.

Authors:  Alan S Go; Kristi Reynolds; Jingrong Yang; Nigel Gupta; Judith Lenane; Sue Hee Sung; Teresa N Harrison; Taylor I Liu; Matthew D Solomon
Journal:  JAMA Cardiol       Date:  2018-07-01       Impact factor: 14.676

9.  Effectiveness of β-blockers in heart failure with left ventricular systolic dysfunction and chronic kidney disease.

Authors:  Tara I Chang; Jingrong Yang; James V Freeman; Mark A Hlatky; Alan S Go
Journal:  J Card Fail       Date:  2013-03       Impact factor: 5.712

10.  Patients diagnosed with diabetes are at increased risk for asthma, chronic obstructive pulmonary disease, pulmonary fibrosis, and pneumonia but not lung cancer.

Authors:  Samantha F Ehrlich; Charles P Quesenberry; Stephen K Van Den Eeden; Jun Shan; Assiamira Ferrara
Journal:  Diabetes Care       Date:  2009-10-06       Impact factor: 19.112

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