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Transparency, reproducibility, and replicability of pharmacoepidemiology studies in a distributed network environment.
Rai, Ashish; Maro, Judith C; Dutcher, Sarah; Bright, Patricia; Toh, Sengwee.
Afiliación
  • Rai A; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Maro JC; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Dutcher S; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Bright P; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Toh S; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Pharmacoepidemiol Drug Saf ; 33(6): e5820, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38783407
ABSTRACT

PURPOSE:

Our objective is to describe how the U.S. Food and Drug Administration (FDA)'s Sentinel System implements best practices to ensure trust in drug safety studies using real-world data from disparate sources.

METHODS:

We present a stepwise schematic for Sentinel's data harmonization, data quality check, query design and implementation, and reporting practices, and describe approaches to enhancing the transparency, reproducibility, and replicability of studies at each step.

CONCLUSIONS:

Each Sentinel data partner converts its source data into the Sentinel Common Data Model. The transformed data undergoes rigorous quality checks before it can be used for Sentinel queries. The Sentinel Common Data Model framework, data transformation codes for several data sources, and data quality assurance packages are publicly available. Designed to run against the Sentinel Common Data Model, Sentinel's querying system comprises a suite of pre-tested, parametrizable computer programs that allow users to perform sophisticated descriptive and inferential analysis without having to exchange individual-level data across sites. Detailed documentation of capabilities of the programs as well as the codes and information required to execute them are publicly available on the Sentinel website. Sentinel also provides public trainings and online resources to facilitate use of its data model and querying system. Its study specifications conform to established reporting frameworks aimed at facilitating reproducibility and replicability of real-world data studies. Reports from Sentinel queries and associated design and analytic specifications are available for download on the Sentinel website. Sentinel is an example of how real-world data can be used to generate regulatory-grade evidence at scale using a transparent, reproducible, and replicable process.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: United States Food and Drug Administration / Farmacoepidemiología Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: United States Food and Drug Administration / Farmacoepidemiología Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos