Skip to main content
. 2016 Feb 8;4(1):1189. doi: 10.13063/2327-9214.1189

Table 2.

Comparison with Respect to T1, D2, T2

T1 (DATA REORGANIZATION)
NETWORK RECODING QUALITY: DATA COMPLETENESS QUALITY: DOCUMENTATION
EU-ADR Does not require mapping to external standard: original coding and/or free text is maintained Demanded to local partners, no formal procedure No formal documentation
Mini-Sentinel Source data are homogeneous in coding systems Local report on specific issues + feedback from standard programs checking for completeness and consistency Data model, data elements and guiding principles approved by partners. ETL formal document, ad hoc per DB
OMOP Source data standardized to common vocabulary by domain: Drug (RxNorm), Condition (SNOMED), Labs (LOINC) Formal procedures: OSCAR and GROUCH tools ETL formal document, ad hoc per DB
MATRICE Source data are homogeneous in coding systems Formal procedures checking data completeness Local configuration of the TheMatrix software (text file)
D2 (GLOBAL SCHEMA)
NETWORK NAMES OF TABLES CHOSEN ACCORDING TO NAMES OF ATTRIBUTES CHOSEN ACCORDING TO EVERY TABLE OF THE CDM HAS A VIEW IN EVERY DB ATTRIBUTES ARE CODED UNIFORMLY ACROSS DBS
EU-ADR Reason/setting of data recording Clinical contents N N
Mini-Sentinel Clinical content and data source (diagnosis, procedures, encounters, lab results) or reason/setting (outpatient pharmacy, death, enrollment) Reason/setting of data recording for diagnosis and similar, clinical contents for pharmacy and death N Y
OMOP Clinical content Reason/setting of data recording Y Y
MATRICE Reason/setting of data recording Clinical contents Y Y
T2 (DATA DERIVATION)
NETWORK LOGIC SINGLE DEFINITION PER DERIVED DATA QUALITY: PROCESS CONTROL QUALITY: VALIDATION
EU-ADR DB-specific algorithms, harmonized through a formal negotiation process Y No common procedures were implemented., although logic of local procedures was shared Internal incidence rates comparison, comparison with literature, some validation with external gold standard (PPV)
Mini-Sentinel The same algorithm was used across all DBs Y Shared SAS script Systematic review of previously published validation studies, expert clinical, data, and epidemiologic guidance, medical chart review for PPV and assessment of difference in dates
OMOP Multiple alternative algorithms were adopted to derive the same data, some were DB-specific N Shared parameterized SQL queries stored in common procedure (RICO) Internal prevalence rates comparison, no external validation performed
MATRICE Multiple algorithms were explored, decision was taken by means of a validation study Y Shared script in a scripting language developed ad hoc (TheMatrix) Validation of algorithms with external gold standard: sensitivity, specificity, PPV, NPV