Computerized pediatric oncology prescriptions review by pharmacist: A descriptive analysis and associated risk factors
| Autor: | François Lemare, Sébastien Klein, Lionel Tortolano, Elisabeth Bermudez, Florian Slimano, Romain Desmaris, Claire Hamel |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
medicine.medical_specialty Population Pharmacist Antineoplastic Agents Drug Prescriptions 03 medical and health sciences 0302 clinical medicine Risk Factors Neoplasms medicine Pediatric oncology Electronic Health Records Humans Medication Errors Double check 030212 general & internal medicine Prospective Studies Medical prescription education Child education.field_of_study Descriptive statistics business.industry Infant Newborn Infant Hematology Clinical pharmacy Oncology 030220 oncology & carcinogenesis Child Preschool Pediatrics Perinatology and Child Health Emergency medicine Observational study Female business |
| Zdroj: | Pediatric bloodcancer. 65(4) |
| ISSN: | 1545-5017 |
| Popis: | BACKGROUND Systematic prescription analyses by clinical pharmacists result in pharmacist interventions (PIs) to reduce prescription errors and improve medication safety. PIs are particularly critical in oncology, because antineoplastic drugs are highly toxic with low therapeutic indexes especially in a pediatric population. The aim of this study is to describe PIs in a pediatric oncology department and to identify potential risk factors associated with prescription errors. PROCEDURE We conducted a 20-month observational study in a pediatric oncology department concerning electronic prescription of injectable chemotherapies was conducted. PIs were analyzed for drug-related problems (DRPs), type of intervention, population characteristics, involved drugs, and the potential risk factors. RESULTS Clinical pharmacists made 90 PIs for 10,214 antineoplastic prescriptions for a rate of 88 PIs per 10,000 prescriptions. The majority of DRPs were dosage errors (61.8%), imputable to measurements (weight and/or height) in 47.4% or unreported dose reduction. The most common patient ages were in the range 1-10 years and the most common time for medical double checks was 2-9 pm. There were statistically more prescription errors in standardized protocols (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text