Da Fita à Tecnologia
Transcrição
Da Fita à Tecnologia
Da Fita à Tecnologia 2 Um sistema impossível nos anos 1980 3 A história da Fita 4 Passos para a padronização 5 Ainda um sistema ruim 6 7 Parece familiar? Precisamos eliminar a Matemática 8 Fazendo com que as pessoas errem “ Sou antiquada… Fatos sobre Cálculo* Taxa de erro 9 Condições normais 3% Segunda verificação 10% Sob estresse 25% Acho que devemos fazer cálculos em caso de dúvidas...” Os rótulos são confusos 10 Reconhecendo os erros Erro de 10 vezes em Adultos 11 Erro de 10 vezes em uma criança Morte pelo ponto decimal 12 ? Solução mágica? 13 Solicitando uma lasanha com Legível Não tem alergia ao tomate Compatível com vinho tinto É hora do jantar 14 Alguém tem que “preparar a lasanha” Mas não se preocupe… 15 Prescrevemos em mg Administramos em mL Documentamos em mg Nós sempre acertamos! (pelo menos de acordo com nossos registros) Infusão de Prostaglandina? 16 . . . Exatamente o que você prescreveu! Uma em cada duas doses é administrada com erro! Critério Comentários Erros de prescrição 46 % Erros de administração* 28% Erros de preparação 10 % Gokhman R, et al. Resuscitation. 2012;83:482-487. 17 Prescrição Eletrônica ignora 40 % dos erros A Pior Parte Os erros de preparação e administração normalmente não são identificados a tempo e tendem a ir direto ao paciente! 18 3 regras simples 1) Padronizar o processo 2) Simplificar a linguagem 3) Eliminar a matemática 19 1. Padronizar o processo Uma receita simples para cada paciente, fármaco e indicação 20 Os 5 D’s de Administração segura na beira do leito 21 2. Simplificar a linguagem Use palavras, não números 22 23 24 25 3. Eliminar a Matemática 26 Matemática Memorização Decidir a indicação Acessar o peso do paciente Médico Lembrar ou procurar a dose ou a fórmula da dose Calcular a dose exata Verificar a dose e a indicação Obter a concentração correta Calcular o volume correto do fármaco Farmacêutico/ Enfermeiro Verificar o volume da concentração do fármaco Administrar a dose de forma correta 27 Matemática Memorização 28 Trabalhamos em “Silos” (de forma isolada). Médico Medico Enfermeiro Farmacêutico Farmacêutico/ Enfermeira 29 Aqui todos trabalham juntos, desde a mesma página! 30 31 Sim, é baseada em evidências! Consulta aos Farmacêuticos Accuracy and Timeliness of Medication Preparation in Pediatric Emergencies: Comparison of a Barcodevs. System and Traditional Approach Caso – Intervenção Controle Consultas/Ordens Heather N. Whitehead, PharmD; Robert J. Kuhn, PharmD; Stephanie N. Baker, PharmD, BCPS Kentucky Children’s Hospital 0/40 (0%) Caso Respiratório - Controle Study Design & Methods 2/25 Results (8%) • Prescribing Errors in the Emergency Department (ED) • Kozer et al1, reviewed 1,532 charts of children treated in the ED • Prescribing errors occurred in 10% of reviewed charts • 51% of incorrect doses prescribed were considered to be significant or severe • 44% of incorrect frequencies prescribed were considered to be significant or severe • Kozer et al2, performed 8 mock pediatric code resuscitations with 125 medication orders • Dose was not specified in 17% of orders with 59% having no route of administration identified • 9 orders included a dosing errors with three being 10-fold errors • 16% of prepared doses deviated by at least 20% of the expected dose, 7% of doses deviated by ≥ 50% Medication Requests • Study Population • Registered nurses in the emergency department with pediatric advanced life support (PALS) training within the past 3 years Caso Cardíaco - Intervenção 0/25 (0%) N (Number of medication requests) Respiratory Case (Intervention, Control) • In 2010, the Pediatric Pharmacy Advocacy Group (PPAG) partnered with Drs. James Broselow and Robert Luten in the development of the Artemis Initiative, which serves as the underlying standard for Artemis software3 • Goal of Artemis Initiative • Develop simple, safe and effective international standard for acute pediatric administration of drugs • Artemis Software • Barcode, web-based system populates dosing information, dose preparation, infusion and monitoring parameters for over 400 medications in seconds after initial scanning of medication 130 40, 25 Cardiac Case (Intervention, Control) • Study Design • This is a 2 – treatment, 2 – period crossover trial with randomization to each treatment • Each nurse participated in 2 simulated PALS scenarios • Each participant was assigned to either the intervention or control group during Period 1 then switched groups during Period 2 • Participants provided a total of 10 mediation interventions as prompted by the simulation facilitator • PALS Simulated Scenarios • Asthma-induced respiratory failure • Hyperkalemia induced ventricular fibrillation • Participants in the intervention group were allowed to use the Artemis system. Participants in the control group were allowed to use drug references normally available in the emergency department. Caso Cardíaco - Controle 25, 40 14/40 (35%) Primary Objective: Accuracy of Prepared Medications Dosage Errors with I ntervention vs Control Conclusões Control (Standard ED references) Percentage of Errors Background Lexington, KY Caso Respiratório - Intervenção (%) 100% 80% 60% 40% 20% 0% I ntervention Control ≥ 20% Errors 0% 100% < 20% Errors 18.75% 81.25% Secondary Objective: Timeliness of Medication Preparation O uso de um sistema eletrônico padronizado de medicação, baseado no código de Data Collection barras: • Aumenta a precisão das doses do medicamento preparado durante estimulações Study Purpose de código pediátrico em 73%, sem erros considerados clinicamente significativos. • Reduz o tempo requerido para a preparação do medicamento, permitindo ao Conclusions enfermeiro com menos experiência pediátrica preparar os medicamentos tão rápido Study Hypothesis & Objectives quanto aqueles com maior experiência. Results • To compare accuracy and timeliness of medication preparation during pediatric code simulations when using the Artemis Pediatric System compared to when using traditional pediatric dosing references • To date, outcomes data on the use of the Artemis Pediatric System is lacking in current medical literature • All scenarios were digitally recorded using video capabilities in the patient care exam rooms at the University of Kentucky College of Pharmacy • Drug: Accuracy of medication prepared was recorded as correct or incorrect • Dose: Prepared dose of medication was recorded for each medication prepared during the scenario • Doses were compared to reference values • Variances greater than 20% were considered clinically significant • Time: Recorded in minutes using time sequencing capability of recording equipment in the patient care exam room •Time zero equaled the time the request was made and was recorded until medication was delivered to the facilitator •Times were averaged for each treatment group and compared • Hypothesis Use of the Artemis system will result in a decrease in deviation from recommended medication doses as well as a decrease in the time required to prepare medications during pediatric code simulations • Primary Objective Accuracy of medication intervention including drug, drug concentration, drug dose • Secondary Objective Time from medication request to delivery of medication to facilitator Study Population N (Number of nurses) Years of Nursing Experience (average) 13 4.8 Years of Pediatric Nursing Experience (average) 1.5 Hours Worked in Pediatric Care Per Week (average) 4.2 Pharmacist Consultations Case – Intervention vs Control Respiratory Case – Intervention Respiratory Case – Control Consults/# Orders (%) 0/40 (0%) 2/25 (8%) Cardiac Case – Intervention 0/25 (0%) Cardiac Case – Control 14/40 (35%) • The use of a standardized, bar-code based, electronic medication dosing system: • Increases accuracy of medication doses prepared during pediatric code simulations by 73%, with no errors being considered clinically significant • Reduces the time required for medication preparation, enabling nurses with less pediatric experience to prepare medications as quickly as those with more vast experience 1. 2. 3. References Kozer E, et al. Variables associated with medication errors in pediatric emergency medicine. Pediatrics. 2002;110:737. Kozer E, et al. Prospective observational study on the incidence of medication errors during simulated resuscitation in a paediatric emergency department. BMJ. 2004;329(7478):1321. eBrowselow website. http://www5.ebroselow.com/php/static/home.php Disclosure Authors of this presentation have the following to disclose concerning possible financial or personal relationships with commercial entities that may have a direct or indirect interest in the subject matter of this presentation: Heather N. Whitehead, Robert J. Kuhn, Stephanie N. Baker: Nothing to disclose. Segurança do Paciente 33 Dois Padrões? 34 Quando a vida está em jogo, fazemos cálculos 35 Quando o dinheiro está em jogo, usamos código de barras! 36 Um Checklist para cada frasco Photo courtesy of Charlotte Observer 37
Documentos relacionados
Artigo Original Prescribing errors in an intensive care Unit
an intensive care unit (ICU), the medication groups more related to the prescribing errors and the rate of acceptance of pharmacist intervention. Methods: The prescriptions charts of patients admit...
Leia mais