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Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System

Ligia Capuani1, Ana Luiza Bierrenbach2, Fatima Abreu1

  • 1Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brasil.

Cadernos De Saude Publica
|September 12, 2014
PubMed

Insights

Probabilistic record linkage accurately tracks blood donors from the Fundação Pró-Sangue (FPS) to the Mortality Information System (SIM). This method enables future studies on blood donor causes of death.

Area of Science:

  • Biomedical Informatics
  • Public Health
  • Epidemiology

Background:

  • Screening test results for various diseases are available for blood donors.
  • Tracking blood donors is crucial for understanding mortality patterns.
  • Existing systems lack comprehensive donor mortality data.

Purpose of the Study:

  • To evaluate the accuracy of a probabilistic record linkage (PRL) process.
  • To link blood donors from Fundação Pró-Sangue (FPS) to the Mortality Information System (SIM).
  • To facilitate future studies on blood donor causes of death.

Main Methods:

  • Utilized databases from SIM and FPS, including living and deceased individuals.
  • Implemented a PRL process with three blocking steps.
  • Compared variables: Name, Mother's Name, and Date of Birth to establish a cut-off score.

Main Results:

  • A cut-off score of 7.06 yielded high accuracy.
  • Sensitivity reached 94.4% (95%CI: 90.0-97.0).
  • Specificity was 100% (95%CI: 98.0-100.0).

Conclusions:

  • The described PRL method is accurate for tracking blood donors.
  • This linkage enables vital research into blood donor mortality.
  • The methodology supports epidemiological studies using linked health data.

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