scholarly journals Benchmarkıng ındıcators nursing workload ın Intensıve Care Unıts

2016 ◽  
Vol 2 (4) ◽  
pp. 277 ◽  
Author(s):  
Thomai Kollia ◽  
Georgios Argyriou ◽  
Evangelia Prevyzi ◽  
Athanasia Nestor ◽  
Anastasia Kotanidou ◽  
...  

Introduction: The high and continues increasing nursing workload in the Intensive Care Unit (ICU) is a remarkable increase in mortality factor of heavy ill patients.Aim: The aim of this study was a comparison evaluation between the score of Nursing Workload (NW), Nursing Activity Score (NAS) and Comprehensive Nursing Intervention Score (CNIS) in nurses who treat critically ill patients in Intensive Care Unit (ICU).Material and Methods: The studied population was 100 patients who were hospitalized in Intensive Care Units (ICU) hospitals in Athens and private clinic of Piraeus. It was used a special designed questionnaire by the researchers based on Nursing Activity Score (NAS) score and Comprehensive Nursing Intervention Score (CNIS) score. Data analysis was performed with the statistical package SPSS 17.0.Results: The 56% of study were men. The average age of the sample was 74 ± 15 years. The average Nursing Activity Score (NAS) for the first 10 days of hospitalization was 55, 4 ± 4, 9 and Comprehensive Nursing Intervention Score (CNIS) was 129, 5 ± 15, 4. Compared with indicators gravity nursing workload, with prognostic score APACHE II, SAPS II, the Glasgow scale and with laboratory markers creatinine and white blood showed that the Nursing Activity Score (NAS) and Comprehensive Nursing Intervention Score (CNIS) indicators a statistically significant difference (p = 0.005 and p <0.001, respectively) compared with patient outcome.Conclusions: The nursing workload (NW) as measured on scales Nursing Activity Score (NAS) and Comprehensive Nursing Intervention Score (CNIS).  Both scales are equality and validity. Similarly, the outcome of these patients was associated with disease severity as measured by the score APACHE II and SAPS II.

2017 ◽  
Vol 11 (12) ◽  
pp. 5305
Author(s):  
Ana Maria Laus ◽  
Mayra Gonçalves Menegueti ◽  
Maria Auxiliadora-Martins ◽  
Lucieli Dias Pedreschi Chaves ◽  
Silvia Helena Camelo

RESUMOObjetivo: analisar comparativamente a carga de trabalho de Enfermagem em duas unidades de terapia intensiva. Método: estudo quantitativo, de coorte transversal, descritivo, realizado em duas UTI de um hospital universitário. A amostra foi aleatória constituindo-se de 100 pacientes. A análise foi realizada por meio da regressão multivariada, cuja variável dependente foi carga de trabalho de Enfermagem, permanecendo, no modelo final, as variáveis independentes com significância estatística menor que 0,05. Resultados: a maioria dos pacientes foi do sexo masculino (60%), com média de idade de 52,3 anos. A carga de trabalho de Enfermagem nas UTI apresentou a média do escore NAS total do conjunto de pacientes de 75,65 e escore APACHE II de 25,5. Conclusão: o tempo de permanência, o sexo e a faixa etária não apresentaram associação significativa com a carga de trabalho de Enfermagem, porém, esta se associou ao escore de gravidade (APACHE II) e à condição de saída do paciente (alta/óbito). Descritores: Carga de trabalho; Unidades de Terapia Intensiva; Enfermagem. ABSTRACT Objective: to analyze comparatively the Nursing workload in two intensive care units. Method: quantitative, cross-sectional, descriptive study performed in two ICUs of a university hospital. The sample was random and consisted of 100 patients. The analysis was performed through multivariate regression, whose dependent variable was Nursing workload, remaining, in the final model, the independent variables with statistical significance lower than 0.05. Results: the majority of the patients were male (60%), with a mean age of 52.3 years. The workload of Nursing in the ICU presented the mean of the total NAS score of the set of patients of 75.65 and APACHE II score of 25.5. Conclusion: length of stay, sex and age group did not present a significant association with the nursing workload, however, this was associated with the severity score (APACHE II) and the patient's exit status (discharge / death). Descritores: Workload; Intensive Care Units, Nursing. RESUMEN Objetivo: analizar comparativamente la carga de trabajo de Enfermería en dos unidades de terapia intensiva. Método: estudio cuantitativo, de cohorte transversal, descriptivo, realizado en dos UTI de un hospital universitario. La muestra fue aleatoria constituyéndose de 100 pacientes. El análisis fue realizado por medio de la regresión multivariada, cuya variable dependiente fue carga de trabajo de Enfermería, permaneciendo, en el modelo final, las variables independientes con significancia estadística menor que 0,05. Resultados: la mayoría de los pacientes fue la del sexo masculino (60%), con promedio de edad de 52,3 años. La carga de trabajo de Enfermería en las UTI presentó la media del score NAS total del conjunto de pacientes de 75,65 y score APACHE II de 25,5. Conclusión: el tiempo de permanencia, el sexo y el grupo de edad no presentaron asociación significativa con la carga de trabajo de Enfermería, pero, ésta se asoció al score de gravedad (APACHE II) y la condición de salida del paciente (alta / óbito). Descritores: Carga de Trabajo; Unidades de Terapia Intensiva; Enfermagem.


2005 ◽  
Vol 22 (Supplement 34) ◽  
pp. 169
Author(s):  
K. Desa ◽  
Z. Zupan ◽  
B. Krstulovic ◽  
V. Golubovic ◽  
A. Sustic

Aquichan ◽  
2011 ◽  
Vol 11 (2) ◽  
pp. 173-186 ◽  
Author(s):  
Elizabeth Romero-Massa ◽  
Johana Patricia Lorduy-Bolívar ◽  
Carmen Pájaro-Melgar ◽  
Carolina Andrea Pérez-Duque ◽  

Objetivo: determinar la relación entre la demanda de carga laboral de enfermería y la gravedad del paciente en unidades de cuidados intensivos de adultos en la ciudad de Cartagena, en el mes de julio de 2008. Método: investigación de corte longitudinal. Muestra de 42 pacientes, se obtuvieron registros TISS-28 y registros Apache II. Se realizó el cálculo de media aritmética, desviación estándar y proporciones, así como el cálculo del coeficiente de correlación de Pearson. Resultados: participaron 42 pacientes; la media para la edad fue 58,2 años (IC 95% 52,1-64,4). El 51,3% fueron mujeres. Se obtuvieron 42 calificaciones del Apache II al ingreso de los pacientes a la UCI con un promedio de 28,9, de los cuales el 66,7% (28) tienen un mal pronóstico, y 188 calificaciones de TISS-28, con un promedio de 28,7 (IC 95% 25,7-31,7). El promedio de TISS de egreso fue de 25,7 (IC 95% 22,4-28,9) por paciente. El 61,9% de los pacientes perteneció a la clase III. La razón enfermera/paciente clase IV fue de 0,57 inferior a 1:1(1). Se encontró una asociación entre el Apache II y TISS-28 de 0,55 (0,501-0,75) y un coeficiente de determinación de 0,38 (p<0,05). Conclusiones: existe una moderada correlación entre el TISS-28 y el Apache II dejando ver sobrecarga de trabajo de enfermería en las UCI, lo que repercute en la atención directa al paciente crítico.


2020 ◽  
pp. 088506662095376
Author(s):  
Marco Krasselt ◽  
Christoph Baerwald ◽  
Sirak Petros ◽  
Olga Seifert

Introduction/Background: Vasculitis patients have a high risk for infections that may require intensive care unit (ICU) treatment in case of resulting sepsis. Since data on sepsis mortality in this patient group is limited, the present study investigated the clinical characteristics and outcomes of vasculitis patients admitted to the ICU for sepsis. Methods: The medical records of all necrotizing vasculitis patients admitted to the ICU of a tertiary hospital for sepsis in a 13-year period have been reviewed. Mortality was calculated and multivariate logistic regression was used to determine independent risk factors for sepsis mortality. Moreover, the predictive power of common ICU scores was further evaluated. Results: The study included 34 patients with necrotizing vasculitis (mean age 69 ± 9.9 years, 35.3% females). 47.1% (n = 16) were treated with immunosuppressives (mostly cyclophosphamide, n = 35.3%) and 76.5% (n = 26) received glucocorticoids. Rituximab was used in 4 patients (11.8%).The in-hospital mortality of septic vasculitis patients was 41.2%. The Sequential Organ Failure Assessment (SOFA) score (p = 0.003) was independently associated with mortality in multivariate logistic regression. Acute Physiology And Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II) and SOFA scores were good predictors of sepsis mortality in the investigated vasculitis patients (APACHE II AUC 0.73, p = 0.02; SAPS II AUC 0.81, p < 0.01; SOFA AUC 0.898, p < 0.0001). Conclusions: Sepsis mortality was high in vasculitis patients. SOFA was independently associated with mortality in a logistic regression model. SOFA and other well-established ICU scores were good mortality predictors.


2016 ◽  
Vol 24 (4) ◽  
pp. 549-559 ◽  
Author(s):  
Alvisa Palese ◽  
Irene Comisso ◽  
Monica Burra ◽  
Pier Paolo DiTaranto ◽  
Luca Peressoni ◽  
...  

Author(s):  
Shao-Chun Wu ◽  
Sheng-En Chou ◽  
Hang-Tsung Liu ◽  
Ting-Min Hsieh ◽  
Wei-Ti Su ◽  
...  

Background: Prediction of mortality outcomes in trauma patients in the intensive care unit (ICU) is important for patient care and quality improvement. We aimed to measure the performance of 11 prognostic scoring systems for predicting mortality outcomes in trauma patients in the ICU. Methods: Prospectively registered data in the Trauma Registry System from 1 January 2016 to 31 December 2018 were used to extract scores from prognostic scoring systems for 1554 trauma patients in the ICU. The following systems were used: the Trauma and Injury Severity Score (TRISS); the Acute Physiology and Chronic Health Evaluation (APACHE II); the Simplified Acute Physiology Score (SAPS II); mortality prediction models (MPM II) at admission, 24, 48, and 72 h; the Multiple Organ Dysfunction Score (MODS); the Sequential Organ Failure Assessment (SOFA); the Logistic Organ Dysfunction Score (LODS); and the Three Days Recalibrated ICU Outcome Score (TRIOS). Predictive performance was determined according to the area under the receiver operator characteristic curve (AUC). Results: MPM II at 24 h had the highest AUC (0.9213), followed by MPM II at 48 h (AUC: 0.9105). MPM II at 24, 48, and 72 h (0.8956) had a significantly higher AUC than the TRISS (AUC: 0.8814), APACHE II (AUC: 0.8923), SAPS II (AUC: 0.9044), MPM II at admission (AUC: 0.9063), MODS (AUC: 0.8179), SOFA (AUC: 0.7073), LODS (AUC: 0.9013), and TRIOS (AUC: 0.8701). There was no significant difference in the predictive performance of MPM II at 24 and 48 h (p = 0.37) or at 72 h (p = 0.10). Conclusions: We compared 11 prognostic scoring systems and demonstrated that MPM II at 24 h had the best predictive performance for 1554 trauma patients in the ICU.


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