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

ABSTRACT 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).

Authors

Institutions

Publication Details

Journal
Saúde em Debate
Published
2025-03-01
DOI
https://doi.org/10.1590/2358-289820251449350i
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Isabel Cristina Martins Emmerick, Vera Lúcia Luiza, Michele Costa Caetano, Mônica Rodrigues Campos
Saúde em Debate
Data Quality and Management
article

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

Isabel Cristina Martins Emmerick, Vera Lúcia Luiza, Michele Costa Caetano, Mônica Rodrigues Campos
article en

Abstract

ABSTRACT 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).

Saúde em DebateVol. 49(144)
Universidade Federal do Rio de Janeiro (BR), University of Massachusetts Chan Medical School (US), UMass Memorial Medical Center (US), Fundação Oswaldo Cruz (BR)
Openalex Percentile: Top 96%
Data Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.