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September 9, 2021Pharmacoepidemiology and Drug Safety

A strategy for assessment and validation of major bleeding cases in a primary health care database in Spain

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Why the study?

The study aimed to validate major bleeding cases in DOAC new users within primary care EHRs in Spain by introducing more efficient, automated validation techniques.

Population

104 614 new users of DOACs in BIFAP primary care EHRs in Spain

Comparison

Validation strategy using hospitalization and critical localization proxies vs registered bleeding codes

Design

Cohort validation study

Follow-up

274521.5 p-y total follow up

Authors

ABAiram de Burgos‐GonzalezVBVerónica BryantCHConsuelo Huerta

Discussion

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Member takes

Overview

Supports algorithm-assisted major bleeding detection in EHR pharmacoepidemiology; leaves open generalizability and prospective validation.

Structured PICO

P
Population
104,614 new users of direct oral anticoagulants (DOACs) in primary care electronic health records in Spain (BIFAP)
I
Intervention
Validation strategy for major bleeding using hospitalization and critical localization as proxies, including a free text-based algorithm
O
Outcome
Validation metrics (recall, specificity, precision) of a free text-based semi-automatic algorithm for identifying major bleeding

A semi-automatic algorithm using hospitalization and critical localization is a valid and highly specific approach for identifying major bleeding in electronic health records.

Limitations

  • Incomplete information in EHRs

Cite This Study

Burgos‐Gonzalez et al. (2021) studied this question.

synapsesocial.com/papers/6a82b5cc8ddd99b9b523a888https://doi.org/10.1002/pds.5357
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