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1.
Int J Clin Pharm ; 43(3): 681-688, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-33124678

RESUMO

Background Paracetamol is a widely used analgesic and antipyretic drug in hospitals. The development and implementation of an electronic tool with algorithm-based alerts (e-agent) in a clinical information system could reduce the risk of overdose. Objective In this study, the performance of such an e-agent developed to detect paracetamol overdosing was analyzed. Setting Swiss tertiary care hospital. Method All patients ≥ 18 years old who had documented paracetamol administration in the used clinical information system during 2017 were retrospectively screened for an absolute and relative overdosing of paracetamol (> 4 g and > 60 mg/kg/24 h, respectively). This was compared with the patients for which the e-agent had, during the same period, prospectively made an alert for absolute or relative overdosing or for a dosing interval < 4 h (potentially leading to an absolute overdose). Main outcome measure E-agent performance defined as detection rate. Results of the 13,196 adult patients who received at least one dose of paracetamol, 2292 were exposed at least once to > 4 g/day (17.4%), 39 of these (0.3% of total) were given > 5 g paracetamol. None received more than 6 g. The e-agent detected 87.2% of cases with doses > 5 g. In most cases (87.9%), the cause of the absolute overdose was a switch from intravenous to oral paracetamol, resulting in an absolute overdose the day of the change. The maximal daily dose of 60 mg/kg was exceeded in 30.1% of patients weighing < 50 kg, as well as in 42.3% of patients weighing < 60 kg. The e-agent detected 73.4% and 75.5% of those cases. Multiple absolute overdoses were found in 204 patients. The e-agent detected 72.7% of those. 90 multiple overdoses occurred during the same hospital stay and 11 on consecutive days. Conclusion Paracetamol overdose is a common medication error in hospitalized patients, which may occur due to process failures such as wrong timing when changing administration route or when factors like comedication and low body weight are ignored. The e-agent detects cases of paracetamol overdose, and therefore, can help prevent this kind of medication error in the clinical setting.


Assuntos
Analgésicos não Narcóticos , Overdose de Drogas , Acetaminofen/uso terapêutico , Adulto , Analgésicos não Narcóticos/uso terapêutico , Overdose de Drogas/diagnóstico , Overdose de Drogas/epidemiologia , Overdose de Drogas/prevenção & controle , Eletrônica , Humanos , Estudos Retrospectivos , Centros de Atenção Terciária
2.
Int J Clin Pharm ; 39(6): 1312-1319, 2017 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-29082460

RESUMO

Background Medication discrepancies often occur at transition of care such as hospital admission and discharge. Obtaining a complete and accurate medication history on admission is essential as further treatment is based on it. Objective The goal of this study was to reduce the proportion of patients with at least one medication discrepancy in the medication history at admission by implementing an IT-guided checklist. Setting Surgery ward focused on vascular and visceral surgery at a Swiss Cantonal Hospital. Method The study was divided into two phases, before and after implementation of an IT-guided checklist. For both phases a pharmacist collected and compared the medication history (defined as gold standard) with that of the admitting physician. Medication discrepancies were subdivided in omissions and commissions, incorrect medications or dose changes, and incorrect dosage forms or strength. Main outcome measure The proportion of patients with at least one medication discrepancy in the medication history before and after intervention was assessed. Results Out of 415 admissions, 228 patients that met the inclusion criteria were enrolled in the study, 113 before and 115 patients after intervention. After intervention, medication discrepancies declined from 69.9 to 29.6% (p < 0.0001) of patients, the mean medication discrepancy per patient was reduced from 2.3 to 0.6 (p < 0.0001), and the most common error, omission of a regularly used medication, was reduced from 76.4 to 44.1% (p < 0.001). Conclusion The implementation of the IT-guided checklist is associated with a significant reduction of medication discrepancies at admission and potentially improves the medication safety for the patient.


Assuntos
Lista de Checagem/estatística & dados numéricos , Prescrição Eletrônica , Erros de Medicação/prevenção & controle , Reconciliação de Medicamentos/métodos , Admissão do Paciente , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Adulto Jovem
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