Evidence map›Paper›PMID 11320072›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Record linkage of health care insurance claims.

T W Victor, R M Mera

Abstract readValidation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Accuracy of public health data linkages.Maternal and child health journal · 2009
    Article
  14. Efficient sequential and parallel algorithms for record linkage.Journal of the American Medical Informatics Association : JAMIA
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

T W VictorHealthcare Informatics, SmithKline Beecham, Collegeville, Pennsylvania 19426-2990, USA. timothy.w.victor@sbphrd.com
R M Mera

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis paper provides a detailed description of a method developed for purposes of linking records of individual patients, represented in diverse data sets, across time and geography.

designThe procedure for record linkage has three major components-data standardization, weight estimation, and matching. The proposed method was designed to incorporate a combination of exact and probabilistic matching techniques. MEASUREMENTS: The procedure was validated using convergent, divergent, and criterion validity measures.

resultsThe output of the process achieved a sensitivity of 92 percent and a specificity that approached 100 percent.

conclusionsThe procedure is a first step in addressing the current trend toward larger and more complex databases.

Indexed as

Insurance, HealthHumansInsurance Claim ReviewMedical Record LinkageMedical Records Systems, ComputerizedProbabilitySoftware Design

Identifiers

PMID11320072
PMCPMC131035

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.