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Cancer Med ; 8(13): 5979-5987, 2019 10.
Artigo em Inglês | MEDLINE | ID: mdl-31445000

RESUMO

INTRODUCTION: Medication errors (MEs) are the main type of preventable adverse events in medical care, as well as safety indicators in the medication processes. Advances in the quality of care in pediatric acute lymphoblastic leukemia (ALL) have enabled to improve clinical outcomes. However, ME epidemiology in pediatric oncology is still incipient in developing countries. In view of this, the objectives of this study were to estimate the incidence of MEs, determine their types and consequences, as well as their preventability in the induction treatment of children with ALL at Hospital Infantil de Mexico Federico Gómez. METHODS: We reviewed the remission-induction chemotherapy records of children with ALL between January 2015 and December 2017. A two-phase review was carried out for ME identification and verification. The consequences of errors were determined by agreement between reviewers. RESULTS: We reviewed 1762 chemotherapy orders involving 181 children. MEs were observed in 16.9% of orders and in 57.5% of patients. Prescription errors were the most common (93.3%), with wrong dose errors (90.2%) being predominant. Only 3.7% of wrong dose errors were intercepted, while 12.2% of the children experienced adverse drug events (ADEs) preceded by some wrong dose error. CONCLUSIONS: MEs were common, since they occurred in 57.5% of children with ALL on induction treatment and involved 16.5% of chemotherapy orders. Only 3.7% of MEs were intercepted, while 12.2% of children had ADEs related to overdose. Measures are required to prevent calculation error in prescriptions, as well as training of the nursing staff to intercept MEs.


Assuntos
Erros de Medicação/estatística & dados numéricos , Leucemia-Linfoma Linfoblástico de Células Precursoras/tratamento farmacológico , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , México , Indução de Remissão , Centros de Atenção Terciária/estatística & dados numéricos
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