Data processing of the Brazilian National System of Controlled Product Management for drug utilization research with antimicrobials

• Autor(a) principal: de Jesus Nascimento Ferreira, Tatiana
• Data de Publicação: 2023
• Outros Autores: Henrique de Araújo Morais, João, Caetano, Rosângela, Garcia Serpa Osório-de-Castro, Claudia
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Cadernos de Saúde Pública
• Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8199
• topic: Uso de Medicamentos; Antibacterianos; Farmacoepidemiologia; Sistemas de Informação em Saúde; Confiabilidade dos Dados; Utilización de Medicamentos; Antibacterianos; Farmacoepidemiología; Sistemas de Información en Salud; Exactitud de los Datos; Drug Utilization; Anti-bacterial Agents; Pharmacoepidemiology; Health Information Systems; Data Accuracy

The Brazilian National System of Controlled Product Management (SNGPC) stores data on the dispensing of manufactured and compounded drugs and pharmaceutical inputs, whether controlled and antimicrobial, based on the records of private pharmacies and drugstores. This study assessed the quality of SNGPC data from the dispensing records of manufactured antibiotics, aiming to propose their use in drug utilization researchs (DURs), with a descriptive and retrospective design, analyzing the raw dataset of the SNGPC from January 2014 to December 2020. A total of 475,805,207 drug-dispensing records were collected. On average, antibiotics corresponded to 54.5% of the total records. The quality dimension “unreported” was systematically identified in the variables “active ingredient”, “sex”, “age” and “ICD-10”. The amount of vials/bottles and packages ranged from one to 536 units and the amount of pharmaceutical inputs dispensed, from one to 7,500 units. Results show that 25% of the records exceed an individual therapy and the SNGPC has no critical mechanism to avoid dispensations outside the therapeutic standard for the class. Despite vulnerabilities due to data quality, which can be overcome, the SNGPC allows for the construction of different analytical plans, involving time and other aggregations, in the analysis of community use of antimicrobials and controlled drugs, which makes it a powerful source of data for DUR.