Implementation of Basic Patient Safety Protocols: a quality improvement project.

OBJECTIVE: To analyze the effect of an improvement project on the implementation of Basic Patient Safety Protocols in Brazilian public hospitals. METHOD: This is an intervention study aimed at comparing measurements before-and-after the implementation of an improvement project in 35 public hospitals across three Brazilian regions, between July 2021 and September 2023. The intervention consisted of a set of activities to support the implementation of six Basic Patient Safety Protocols, with semimonthly collection of indicators. The data were analyzed using descriptive statistics, with the use of trend charts to demonstrate improvements, considering the first seven collection points as the baseline for comparisons. RESULTS: After the intervention period, all Patient Safety Protocols showed improvements in their indicators. The prevention of falls and safe surgery stood out, with a 73% reduction in prevalence and a 675% increase in adherence to the safe surgery checklist, respectively, compared to the group of hospitals. CONCLUSION: The improvement project had a positive effect on patient safety in the institutions, evidenced by the improvement in indicators of all analyzed protocols.

Use of the ADHERE Risk Model as a Predictor of Risk of in-Hospital Worsening Heart Failure in a Cohort. / Uso do Modelo de Risco ADHERE como Preditor de Piora Intra-Hospitalar de Insuficiência Cardíaca em uma Coorte.

BACKGROUND: Patients admitted with acute decompensated heart failure (HF) are subject to developing worsening episodes that require more complex interventions. The Acute Decompensated Heart Failure National Registry (ADHERE) risk model was developed in the United States to predict the risk of in-hospital worsening HF. OBJECTIVE: To use the ADHERE risk model in the assessment of risk of in-hospital worsening HF and to determine its sensitivity and specificity in hospitalized patients. METHODS: This cohort study was conducted at a Brazilian public university hospital, and data from 2013 to 2020 were retrospectively collected. P values < 0.05 were considered statistically significant. RESULTS: A total of 890 patients with a mean age of 74 ± 8 years were included. The model showed that, in the group of 490 patients at risk, 254 (51.8%) developed in-hospital worsening HF. In the group of 400 patients not at risk, only 109 (27.2%) experienced worsening HF. The results demonstrated a statistically significant curve (area under the curve = 0.665; standard error = 0.018; P < 0.01; confidence interval = 0.609 to 0.701), indicating good accuracy. The model had a sensitivity of 69.9% and a specificity of 55.2%, with a positive predictive value of 52% and a negative predictive value of 72.7%. CONCLUSIONS: In this cohort, we showed that the ADHERE risk model was able to discriminate patients who in fact developed worsening HF during the admission period, from those who did not.

FUNDAMENTO: Pacientes hospitalizados com insuficiência cardíaca (IC) aguda descompensada estão sujeitos a desenvolver episódios de piora que requerem intervenções mais complexas. O modelo de predição de risco "Acute Decompensated Heart Failure National Registry" (ADHERE) foi desenvolvido nos Estados Unidos para prever o risco de piora intra-hospitalar da IC. OBJETIVO: Utilizar o modelo de predição de risco ADHERE para avaliar o risco de piora intra-hospitalar da IC e determinar a sua sensibilidade e especificidade em pacientes hospitalizados. MÉTODOS: O presente estudo de coorte foi realizado em um hospital universitário público brasileiro e os dados de 2013 a 2020 foram coletados retrospectivamente. Foram considerados estatisticamente significativos valores de p < 0,05. RESULTADOS: Foram incluídos 890 pacientes com idade média de 74 ± 8 anos. O modelo mostrou que no grupo de 490 pacientes de risco, 254 (51,8%) desenvolveram piora intra-hospitalar da IC. No grupo de 400 pacientes sem risco, apenas 109 (27,2%) apresentaram piora da IC. Os resultados demonstraram uma curva estatisticamente significativa (área sob a curva = 0,665; erro padrão = 0,018; p < 0,01; intervalo de confiança = 0,609 a 0,701), indicando boa precisão. O modelo apresentou sensibilidade de 69,9% e especificidade de 55,2%, com valor preditivo positivo de 52% e valor preditivo negativo de 72,7%. CONCLUSÕES: Na presente coorte, demonstramos que o modelo de predição de risco ADHERE foi capaz de discriminar pacientes que, de fato, desenvolveram piora da IC durante o período de internação daqueles que não desenvolveram.

Nursing Outcomes for Patients with Risk of Perioperative Positioning Injury.

PURPOSE: To select and refine the outcomes and indicators of Nursing Outcomes Classification for the diagnosis of risk for perioperative positioning injury. METHOD: Validation study on expert consensus and refinement through pilot study. FINDINGS: Eight outcomes and 35 indicators were selected in consensus. After clinical testing was performed, in which 10 patients were assessed at five different times. Eight outcomes and 33 indicators remained in the protocol. CONCLUSION: This study made it possible to select the most relevant outcomes and indicators to be measured for this diagnosis in clinical practice. IMPLICATIONS FOR NURSING PRACTICE: Validation studies by consensus and clinical testing are important to promote the accuracy, creating opportunities to legitimize, and improve the concepts of taxonomies.

Prediction of risk and diagnostic accuracy in patients hospitalized for decompensated heart failure: cohort study. / Predição de risco e acurácia diagnóstica em pacientes internados com insuficiência cardíaca descompensada: estudo de coorte.

OBJECTIVES: To analyze the diagnostic accuracy in nursing in patients with predicted risk of clinical worsening during hospitalization for acutely decompensated heart failure. METHODS: Cohort study with data collection in medical records according to the Acute Decompensated Heart Failure National Registry risk model. After defining the patients at risk, the Nursing Diagnosis Accuracy Scale version 2 was applied. The scale classifies the accuracy as null, low, moderate or high. RESULTS: Of the 43 patients at risk of worsening, 22 (51%) did not worsen and 21 (49%) worsened; in both, the diagnostic accuracy was in the Moderate / High category in 22 (89%) and 16 (88%), respectively. Only Decreased cardiac output and Excessive fluid volume were scored with 100% in the High category. CONCLUSIONS: Patients with acute decompensated heart failure and risk of clinical worsening during hospitalization were identified with moderate or high diagnostic accuracy by nurses.

Uso do Modelo de Risco ADHERE como Preditor de Piora Intra-Hospitalar de Insuficiência Cardíaca em uma Coorte / Use of the ADHERE Risk Model as a Predictor of Risk of in-Hospital Worsening Heart Failure in a Cohort

Resumo Fundamento Pacientes hospitalizados com insuficiência cardíaca (IC) aguda descompensada estão sujeitos a desenvolver episódios de piora que requerem intervenções mais complexas. O modelo de predição de risco "Acute Decompensated Heart Failure National Registry" (ADHERE) foi desenvolvido nos Estados Unidos para prever o risco de piora intra-hospitalar da IC. Objetivo Utilizar o modelo de predição de risco ADHERE para avaliar o risco de piora intra-hospitalar da IC e determinar a sua sensibilidade e especificidade em pacientes hospitalizados. Métodos O presente estudo de coorte foi realizado em um hospital universitário público brasileiro e os dados de 2013 a 2020 foram coletados retrospectivamente. Foram considerados estatisticamente significativos valores de p < 0,05. Resultados Foram incluídos 890 pacientes com idade média de 74 ± 8 anos. O modelo mostrou que no grupo de 490 pacientes de risco, 254 (51,8%) desenvolveram piora intra-hospitalar da IC. No grupo de 400 pacientes sem risco, apenas 109 (27,2%) apresentaram piora da IC. Os resultados demonstraram uma curva estatisticamente significativa (área sob a curva = 0,665; erro padrão = 0,018; p < 0,01; intervalo de confiança = 0,609 a 0,701), indicando boa precisão. O modelo apresentou sensibilidade de 69,9% e especificidade de 55,2%, com valor preditivo positivo de 52% e valor preditivo negativo de 72,7%. Conclusões Na presente coorte, demonstramos que o modelo de predição de risco ADHERE foi capaz de discriminar pacientes que, de fato, desenvolveram piora da IC durante o período de internação daqueles que não desenvolveram.

Abstract Background Patients admitted with acute decompensated heart failure (HF) are subject to developing worsening episodes that require more complex interventions. The Acute Decompensated Heart Failure National Registry (ADHERE) risk model was developed in the United States to predict the risk of in-hospital worsening HF. Objective To use the ADHERE risk model in the assessment of risk of in-hospital worsening HF and to determine its sensitivity and specificity in hospitalized patients. Methods This cohort study was conducted at a Brazilian public university hospital, and data from 2013 to 2020 were retrospectively collected. P values < 0.05 were considered statistically significant. Results A total of 890 patients with a mean age of 74 ± 8 years were included. The model showed that, in the group of 490 patients at risk, 254 (51.8%) developed in-hospital worsening HF. In the group of 400 patients not at risk, only 109 (27.2%) experienced worsening HF. The results demonstrated a statistically significant curve (area under the curve = 0.665; standard error = 0.018; P < 0.01; confidence interval = 0.609 to 0.701), indicating good accuracy. The model had a sensitivity of 69.9% and a specificity of 55.2%, with a positive predictive value of 52% and a negative predictive value of 72.7%. Conclusions In this cohort, we showed that the ADHERE risk model was able to discriminate patients who in fact developed worsening HF during the admission period, from those who did not.

Predição de risco e acurácia diagnóstica em pacientes internados com insuficiência cardíaca descompensada: estudo de coorte / Predicción de riesgo y precisión diagnóstica en pacientes internados con insuficiencia cardiaca descompensada: estudio de cohorte / Prediction of risk and diagnostic accuracy in patients hospitalized for decompensated heart failure: cohort study

Resumo OBJETIVOS Analisar a acurácia diagnóstica de enfermagem em pacientes com predição de risco de piora clínica durante internação por insuficiência cardíaca agudamente descompensada. MÉTODO Estudo de coorte com coleta de dados em prontuário de acordo com o Acute Decompensated Heart Failure National Registry risk model. Após a definição dos pacientes em risco, aplicou-se a Escala de Acurácia de Diagnósticos de Enfermagem versão 2. A escala classifica a acurácia em nula, baixa, moderada ou alta. RESULTADOS Dos 43 pacientes com risco de piora, 22(51%) não pioraram e 21(49%) pioraram; em ambos, a acurácia diagnóstica apresentou-se na categoria Moderada/Alta em 22(89%) e 16(88%), respectivamente. Apenas Débito cardíaco diminuído e Volume de líquidos excessivo foram pontuados com 100% na categoria Alta. CONCLUSÕES Pacientes agudamente descompensados e com risco de piora clínica durante a internação foram identificados com acurácia diagnóstica Moderada ou Alta pelos enfermeiros.

Resumen OBJETIVOS Analizar la precisión diagnóstica enfermera em pacientes con predicción de riesgo de empeoramiento clínico durante su internación por insuficiencia cardiaca agudamente descompensada. MÉTODO Estudio de cohorte con colecta de datos em las historias médicas de pacientes con riesgo de empeoramiento clínico de acuerdo con la Acute Decompensated Heart Failure National Registry risk model. Después de la definición de los pacientes en riesgo, se aplicó la Escala de Precisión de Diagnósticos de Enfermería versión 2. La escala clasifica la precisión en nula, baja, modera o alta. RESULTADOS De los 43 pacientes con riesgo de empeoramiento, 22(51%) no empeoraron y 21(49%) empeoraron; en ambos, la precisión diagnóstica se presentó en categoría Moderada/Alta en 22(89%) y 16(88%), respectivamente. Apenas Disminuición del Gasto cardíaco y Volumen de líquidos excesivo fueron puntuados con 100% en la categoría Alta. CONCLUSIONESPacientes con insuficiencia cardiaca agudamente descompensada y riesgo de peora clínica durante su internación fueron identificados con precisión diagnóstica Moderada o Alta por los enfermeros.

Abstract OBJECTIVES To analyze the diagnostic accuracy in nursing in patients with predicted risk of clinical worsening during hospitalization for acutely decompensated heart failure. METHODS Cohort study with data collection in medical records according to the Acute Decompensated Heart Failure National Registry risk model. After defining the patients at risk, the Nursing Diagnosis Accuracy Scale version 2 was applied. The scale classifies the accuracy as null, low, moderate or high. RESULTS Of the 43 patients at risk of worsening, 22 (51%) did not worsen and 21 (49%) worsened; in both, the diagnostic accuracy was in the Moderate / High category in 22 (89%) and 16 (88%), respectively. Only Decreased cardiac output and Excessive fluid volume were scored with 100% in the High category. CONCLUSIONS Patients with acute decompensated heart failure and risk of clinical worsening during hospitalization were identified with moderate or high diagnostic accuracy by nurses.