Analysis of the database quality of the National Controlled Products Management System (SNGPC)

Datos Bibliográficos

ID5333493
AutoresMichele Costa Caetano (0000-0001-5696-8916, Universidade Federal do Rio de Janeiro), Mailín R Campos (0000-0002-7443-5977, Fundação Oswaldo Cruz), Mônica Rodrigues Campos (Fundação Oswaldo Cruz), Isabel Emmerick (0000-0002-0383-2465, UMass Chan Medical School, Estados Unidos da América), Vera Lucia Luiza (0000-0001-6245-7522, Fundação Oswaldo Cruz)
Año2025
Volumen49
Número144
Fecha de publicación2025-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSaúde em Debate (JOURNAL)
Identificadores de la revistaISSN: 0103-1104 • E-ISSN: 2358-2898
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/2358-289820251449350i
OpenAlexW4408116456
SCIELO_PIDS0103-11042025000100215
IdiomaEN
Referencias citadas17

The study aimed to analyze the quality of the database regarding antimicrobials from the Brazilian National Controlled Products Management System (SNGPC) available in the public domain and propose improvements. This was an exploratory and descriptive study of antimicrobial sales records from Brazilian private pharmacies, conducted from June 2017 to 2020. Three quality dimensions were considered: completeness, methodological clarity, and validity. Data was analyzed using descriptive statistics. Although the database offers valuable information on antimicrobial consumption, it also poses several challenges that hinder or complicate the analysis. The main obstacles found were: a lack of standardization of the name and description of antimicrobials, the presence of different information in the presentation description field, and the absence of anonymized individualized data. The SNGPC is a key data source on antimicrobial consumption in Brazil, as private pharmacies and drugstores are the population's primary sources of access to these medications. However, the SNGPC requires improvements to facilitate its use by researchers, policymakers, and healthcare professionals. These improvements would enable more comprehensive studies and support the systematic monitoring of antimicrobial consumption, contributing to strategies to tackle antimicrobial resistance (AMR

Business · Database · Management system · National database · Operations management · Process management · Quality (philosophy) · Quality management · Quality management system · Risk analysis (engineering) · Computer Science · Data Quality and Management · Engineering