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Resumen Introducción : El Global Trigger Tool (GTT) es una herramienta que identifica con precisión los eventos adversos, estos representan un problema relevante y prevenible en los hospitales. Métodos : Estudio de corte transversal basado en la revisión retrospectiva de historias clínicas aleatorizadas utilizando el GTT. Resultados : Se detectaron 161 eventos adversos (EA): 51 por cada 100 admisiones, 66 por cada 1000 días pa ciente y 30% de admisiones con EA. Los disparadores más frecuentes fueron del módulo cuidados, 25% com plicaciones asociadas al uso de procedimientos, 10% úlceras por presión y 9% infecciones asociadas a la atención. La presencia de EA tuvo asociación estadís ticamente significativa con estancia mayor a 5 días, y asociación moderada con edad y número de disparado res. En cuanto al daño, 78% de los pacientes presentaron eventos leves y 4% eventos fatales. En el análisis con cur vas ROC, los disparadores con mayor área bajo la curva fueron: complicación de procedimientos (0.70), úlceras por presión (0.61) y código de respuesta rápida (0.60). Discusión : Los eventos por 100 admisiones fueron superiores a la bibliografía pero no hubo diferencias en eventos por cada 1000 días paciente. Los casos fatales se produjeron por enfermedades infecciosas respiratorias en pacientes con comorbilidades, necesidad de sonda nasogástrica y deterioro cognitivo. Se destaca la escasa aplicación de la herramienta en hospitales públicos, y la implementación de análisis de disparadores con cur vas ROC. Conocer la frecuencia y el tipo de evento más frecuente permitirá implementar medidas que mejoren la seguridad de los pacientes.
Abstract Introduction : The Global Trigger Tool (GTT) is a tool that accurately identifies adverse events that represent a significant problem in hospitals. Methods : Cross-sectional study based on retrospec tive review of randomized medical records using the GTT tool. Results : A total of 161 adverse events (AEs) were detected: 51 events per 100 admissions, 66 per 1000 patient-days, and 30% of admissions with AEs. The most frequent triggers were from the care module, with 25% complications associated with the use of procedures, 10% pressure ulcers, and 9% care-associated infections. The presence of AEs had a statistically significant asso ciation with a stay of more than 5 days, and a moderate association with age and number of triggers. Regarding the damage, 78% of the patients presented mild events and 4% fatal events. The ROC curves analysis showed that the triggers with the greatest area under the curve were: procedural complication (0.70), pressure ulcers (0.61) and rapid response code (0.60). Discussion : The number of events per 100 admis sions was higher than that reported in the literature, but there were no differences in events per 1000 patient-days. Fatal cases were caused by respiratory infectious diseases in patients with comorbidities, nasogastric tube needs and cognitive decline. The study highlights the scarce use of the tool in public hospitals and the implementation of trigger analysis with ROC curves. Knowing the frequency and the most frequent type of event will allow the implementation of measures that improve patient safety.
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Resumen El daño asociado al cuidado de la salud es relevante y altamente prevenible. El Global Trigger Tool es la principal metodología en uso para su cuantificación. Los objetivos del trabajo fueron cuantificar mediante dicha herramienta el daño asociado al cuidado durante la internación, caracterizar los tipos de daño involucrados, identificar los factores asociados y describir la utilización de la información recabada. Se trata de un estudio longitudinal retrospectivo. Se detectaron 266 eventos adversos totales entre los dos hospitales: 138 eventos en el Hospital A, y 128 eventos en el Hospital B. Esto es 61.3 eventos cada 1000 días paciente, y 62.5 eventos cada 1000 días paciente en A y B respectivamente, p = 0.3. En términos generales, construyendo una sola población de los dos hospitales, se hallaron 32 eventos adversos cada 100 admisiones, y 64.3 eventos cada 1000 días/pacientes. Los eventos estaban asociados en orden decreciente de frecuencia a: medicación (45.5%), infecciones (32.4%), procedimientos sin infección (15.2%), tromboembolismo pulmonar (4.8%), úlceras por presión (1.4%), dispositivos (0.7%). Las variables asociadas fueron polimedicación y polimorbilidad. Los factores asociados a la aparición de eventos adversos fueron el sexo femenino (OR: 2.1), la administración de medicamentos de alto riesgo (OR 2.3), la edad ≥ 80 años (OR 2.6) y el registro de ≥ 3 transferencias entre salas durante la internación (OR 2.9). Las tasas de daño observadas son comparables a las tasas evaluadas por el mismo método en estudios internacionales.
Abstract The damage associated with health care is relevant and highly preventable. The Global Trigger Tool is a leading methodology in use for its quantification. Our study aimed to quantify, through this tool, the damage associated with care during hospitalization, characterize the types of damage involved, identify the associated factors and describe the use of the information collected. We conducted a retrospective longitudinal study. A total of 266 adverse events were detected between the two hospitals: 138 events in Hospital A, and 128 in Hospital B, the patient days analyzed in each hospital were 2089 and 2046 respectively. This is 61.3 events every 1000 patient days, and 62.5 events every 1000 patient days in A and B respectively, p = 0.3. In general terms, constructing a single population of the two hospitals, 32 adverse events were found every 100 admis sions, and 64.3 events every 1000 days / patients. The events were associated in decreasing order of frequency with: medication (45.5%), infections (32.4%), procedures without infection (15.2%), pulmonary thromboembolism (4.8%), pressure ulcers (1.4%), devices (0.7%). The associated variables were polypharmacy and polymorbid ity. Factors associated with the occurrence of adverse events were female gender (OR: 2.1), administration of high-risk medications (OR 2.3), age ≥ 80 years (OR 2.6), and registration of ≥ 3 transfers between wards during hospitalization (OR 2.9). The observed damage rates are comparable to the rates evaluated by the same method in international studies.
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Introducción. Los eventos adversos pueden ser detectados por diversas herramientas de pesquisa. En la población pediátrica, la Pediatric Global Trigger Tool busca gatillos en la historia clínica para detectar daño asociado al cuidado, tanto prevenible como no prevenible. Objetivo. Medir la incidencia de eventos adversos en el Departamento de Pediatría utilizando dicha herramienta. Conocer los tipos de eventos y las variables asociadas. Población y métodos. Estudio de incidencia, de corte longitudinal. Resultados. Se estudiaron 318 pacientes; media de edad: 2,99 años (rango: 0-17); porcentaje de mujeres: 164 (el 51,57 %). Se halló un 11 % de eventos por cada 100 admisiones, 15,5 eventos cada 1000 días-paciente. Los eventos más frecuentes fueron asociados a medicación: el 48,57 % (n = 17); a bacteriología (infecciones): el 42,85 % (n = 15); y a cuidados: el 8,57 % (n = 3). Diecinueve eventos fueron leves (el 54,28 %), 14 (el 40 %) prolongaron la hospitalización (moderados) y 2 (el 5,71 %) requirieron soporte vital (graves). Se hallaron 168 gatillos, 0,53 gatillos por paciente, 74,4 gatillos cada 1000 días-paciente y 4,8 gatillos por cada evento adverso. En el análisis de regresión logística multivariada, las variables asociadas a la aparición de los eventos adversos fueron medicamentos de alto riesgo, sexo femenino, peso, número de transferencias dentro del hospital y estancia superior a 5 días. Conclusiones. La utilización de la Pediatric Global Trigger Tool permite identificar eventos adversos en pacientes pediátricos hospitalizados y ayudar a encauzar acciones de mejora, de acuerdo con las variables asociadas.
Introduction. Adverse events may be detected using different screening tools. In the pediatric population, the Pediatric Trigger Tool looks for triggers in the medical record to detect preventable and non-preventable care-associated harm. Objective. To measure the incidence of adverse events at the Department of Pediatrics using this tool. To know the types of events and associated outcome measures. Population and methods. Longitudinal cohort study. Results. A total of 318 patients were included; mean age: 2.99 years (range: 0-17); 164 (51.57 %) were girls. There were 11 % of events per 100 admissions, 15.5 events per 1000patient-days. The most common events were associated with medication use: 48.57 % (n = 17); bacteriology (infections): 42.85 % (n = 15); and care: 8.57 % (n = 3). Nineteen events were mild (54.28 %), 14 (40 %) extended the length of stay (moderate), and 2 (5.71 %) required vital support (severe). A total of 168 triggers were detected; 0.53 triggers per patient, 74.4 triggers per 1000 patient-days, and 4.8 triggers per adverse event. In the multivariate logistic regression analysis, the outcome measures associated with the development of adverse events were high-risk medications, female sex, weight, number of transfers within the hospital, and length of stay longer than 5 days. Conclusions. Using the Pediatric Trigger Tool helped to identify adverse events in hospitalized pediatric patients and guide improvement measures based on associated outcome measures.
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Humans , Infant, Newborn , Infant , Child, Preschool , Child , Adolescent , Primary Health Care , Child, Hospitalized , Quality Indicators, Health Care , Drug-Related Side Effects and Adverse ReactionsABSTRACT
OBJECTIVE: To establish pediatric-focused trigger of adverse drug event using Delphi expert consensus method, and provide a reference for clinical to develop ADE active monitoring based on GTT. METHODS: The formed trigger items were adopted to design an expert consultation questionnaire based on GTT white paper, related literatures and by expert pre investigation. Twenty-seven experts from Beijing, Shanghai and so on were chosen to do a two-round Delphi consultation. Trigger items were screened and modified. RESULTS: THE recovery rate of questionnaire were 92.6%, 100%. After two rounds of consultation the authority coefficient (Cr) was 0.81 ± 0.05. The coefficient of variation (CV) was 0.29 ± 0.13.The KendallW was 0.346, respectively(P < 0.001). Finally 36 trigger items were formulated, including 20 laboratory index, 9 antidotes, 4 clinical symptoms and 3 intervention measures. CONCLUSION: It is reasonable, feasible to adopt Delphi expert consensus method as pediatric-focused trigger of adverse drug events, which lays the foundation for the implementation of GTT.
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Objective To understand the current application status of global trigger tool ( GTT) in China and abroad, and to provide reference for application and improvement of GTT in medical institutes in China. Methods The databases of Pubmed and CNKI were searched, and the relevant literatures were reviewed and collected, and the application of GTT for measuring adverse events ( AE ) were analyzed and evaluated. Results Fifty-eight valid articles from 15 countries were included.The studies involve several aspects of GTT applications. Articles about GTT used for measuring the incidence of AE accounted for 62.07%, the researches on the object category of AE accounted for 36.21%, those evaluating the effectiveness of GTT as an AE measurement tool accounted for 27.59%, those about improvement and exploration of GTT application performance accounted for 23. 41%, and those about comparison between GTT and other AE detection methods accounted for 15. 52%. In 18.97% of the studies, the number of reviewers and criteria were accordant with the GTT White Paper, but 32.76% of the studies did not clearly describe the reviewers and criteria. The most common method for reporting the AE rate was the proportion of patients with AE.The research object includes 11 categories:common hospital patients, children, patients in intensive care unit ( ICU) , etc.; AE ratio of common hospital patients was 3. 4% to 43. 3%, the preventable proportion was between 32. 2% and 72.4%.The most common types of AE were drug related adverse events, infection/hospital acquired infections, surgery-related complications, abnormal blood potassium, pressure ulcer and so on. Evaluation performed in the United States, Republic ofKorea, Spain, China and other countries and regions' showed GTT had higher efficiency and other advantages as compared with the other AE detection methods including voluntary reporting system, HMPS, QPSIQ DLCR.The exploration of GTT performance improvement involves many factors influencing the detection effectiveness such as different reviewers, review experience, sampling method, sample size, trigger etc. Conclusion GTT has been applied to AE detection of hospital patients in various countries, and it has shown some advantages. GTT is an effective tool for AE measuring, which could be widely used in AE monitoring of hospitalized patients in medical institutions of China.
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Objective To understand the current application status of global trigger tool ( GTT) in China and abroad, and to provide reference for application and improvement of GTT in medical institutes in China. Methods The databases of Pubmed and CNKI were searched, and the relevant literatures were reviewed and collected, and the application of GTT for measuring adverse events ( AE ) were analyzed and evaluated. Results Fifty-eight valid articles from 15 countries were included.The studies involve several aspects of GTT applications. Articles about GTT used for measuring the incidence of AE accounted for 62.07%, the researches on the object category of AE accounted for 36.21%, those evaluating the effectiveness of GTT as an AE measurement tool accounted for 27.59%, those about improvement and exploration of GTT application performance accounted for 23. 41%, and those about comparison between GTT and other AE detection methods accounted for 15. 52%. In 18.97% of the studies, the number of reviewers and criteria were accordant with the GTT White Paper, but 32.76% of the studies did not clearly describe the reviewers and criteria. The most common method for reporting the AE rate was the proportion of patients with AE.The research object includes 11 categories:common hospital patients, children, patients in intensive care unit ( ICU) , etc.; AE ratio of common hospital patients was 3. 4% to 43. 3%, the preventable proportion was between 32. 2% and 72.4%.The most common types of AE were drug related adverse events, infection/hospital acquired infections, surgery-related complications, abnormal blood potassium, pressure ulcer and so on. Evaluation performed in the United States, Republic ofKorea, Spain, China and other countries and regions' showed GTT had higher efficiency and other advantages as compared with the other AE detection methods including voluntary reporting system, HMPS, QPSIQ DLCR.The exploration of GTT performance improvement involves many factors influencing the detection effectiveness such as different reviewers, review experience, sampling method, sample size, trigger etc. Conclusion GTT has been applied to AE detection of hospital patients in various countries, and it has shown some advantages. GTT is an effective tool for AE measuring, which could be widely used in AE monitoring of hospitalized patients in medical institutions of China.
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Adverse Drug Event(ADE)is a major factor threatening patient safety.For now,the ADE detecting in China mostly relies on spontaneous reporting,a method detecting only a small proportion of ADEs,instead of reflecting the real-world clinical medication safety.Global Trigger Tool (GTT)is a relatively new method for detecting ADEs.This paper described the GTT as an effective and practical method for detecting ADEs,by introducing the history of GTT development,GTT basic principles,operating procedures,current relevant researches and application at home and aboard and comparing with other ADE detection methods.The GTT can evaluate the clinical medication safety in various medical institutions.In particular,it can target specific clinical departments or certain people to detect ADEs for obtaining more evidences of clinical medication safety.That is the reason that we recommend medical institutions at all levels learn and use GTT.