Occurrence of clinical drug interactions in prescriptions of patients suspect of adverse reaction hospitalized in the countryside of the state of Bahia, Brazil
Drug interactions (DI) are a significant public health problem, and are associated with increased health care costs. The objective of this study was to evaluate the clinical occurrence of DI in patients with suspected adverse reactions in a hospital. We conducted a segment study with non-concurrent...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Brasil |
| Institución: | Universidade Municipal de São Caetano do Sul (USCS) |
| Repositorio: | Revista de Atenção à Saúde |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs2.seer.uscs.edu.br:article/3088 |
| Acceso en línea: | http://seer.uscs.edu.br/index.php/revista_ciencias_saude/article/view/3088 |
| Access Level: | acceso abierto |
| Palabra clave: | prescrições interações de medicamentos pacientes internados Prescriptions drug interactions inpatients. |
| Sumario: | Drug interactions (DI) are a significant public health problem, and are associated with increased health care costs. The objective of this study was to evaluate the clinical occurrence of DI in patients with suspected adverse reactions in a hospital. We conducted a segment study with non-concurrent prospective follow-up of 31 medical records. In the analysis of the data was used the Micromedex® database and ICD-10 and ATC classifications. It was observed that 61.3% of patients were male with a mean age of 56±23.8 years. We analyzed 858 prescriptions andfound 1507 drug interactions. Of these, 35% were highly severe and 33% were moderately severe. From the overall DI, 53.0% were clinically observed – and 11.08% caused adverse reactions. To verify the association between the occurrence of DI and sex, age and number of drugs prescribed, it was used technical binary logistic regression and the odds ratio (OR) were calculated with confidence intervals of 95% (95% CI). By the analysis of the results, it was concluded that the amount of drugs, age and sex are directly associated with the occurrence of DI and knowing these variables can minimize damage and health risks. |
|---|