An intervention including the national early warning score improves patient monitoring practice and reduces mortality: A cluster randomized controlled trial

Prognostic Accuracy of Screening Tools for Clinical Deterioration in Adults With Suspected Sepsis in Northeastern Thailand: A Cohort Validation Study

Background

We sought to assess the performance of commonly used clinical scoring systems to predict imminent clinical deterioration in patients hospitalized with suspected infection in rural Thailand.

Methods

Patients with suspected infection were prospectively enrolled within 24 hours of admission to a referral hospital in northeastern Thailand between 2013 and 2017. In patients not requiring intensive medical interventions, multiple enrollment scores were calculated including the National Early Warning Score (NEWS), the Modified Early Warning Score, Between the Flags, and the quick Sequential Organ Failure Assessment score. Scores were tested for predictive accuracy of clinical deterioration, defined as a new requirement of mechanical ventilation, vasoactive medications, intensive care unit admission, and/or death approximately 1 day after enrollment. The association of each score with clinical deterioration was evaluated by means of logistic regression, and discrimination was assessed by generating area under the receiver operating characteristic curve.

Results

Of 4989 enrolled patients, 2680 met criteria for secondary analysis, and 100 of 2680 (4%) experienced clinical deterioration within 1 day after enrollment. NEWS had the highest discrimination for predicting clinical deterioration (area under the receiver operating characteristic curve, 0.78 [95% confidence interval, .74-.83]) compared with the Modified Early Warning Score (0.67 [.63-.73]; P < .001), quick Sequential Organ Failure Assessment (0.65 [.60-.70]; P < .001), and Between the Flags (0.69 [.64-.75]; P < .001). NEWS ≥5 yielded optimal sensitivity and specificity for clinical deterioration prediction.

Conclusions

In patients hospitalized with suspected infection in a resource-limited setting in Southeast Asia, NEWS can identify patients at risk of imminent clinical deterioration with greater accuracy than other clinical scoring systems.

General ward nurses detection and response to clinical deterioration in three hospitals at the Kenyan coast: a convergent parallel mixed methods study

BACKGROUND

In low and middle-income countries like Kenya, critical care facilities are limited, meaning acutely ill patients are managed in the general wards. Nurses in these wards are expected to detect and respond to patient deterioration to prevent cardiac arrest or death. This study examined nurses' vital signs documentation practices during clinical deterioration and explored factors influencing their ability to detect and respond to deterioration.

METHODS

This convergent parallel mixed methods study was conducted in the general medical and surgical wards of three hospitals in Kenya's coastal region. Quantitative data on the extent to which the nurses monitored and documented the vital signs 24 h before a cardiac arrest (death) occurred was retrieved from patients' medical records. In-depth, semi-structured interviews were conducted with twenty-four purposefully drawn registered nurses working in the three hospitals' adult medical and surgical wards.

RESULTS

This study reviewed 405 patient records and found most of the documentation of the vital signs was done in the nursing notes and not the vital signs observation chart. During the 24 h prior to death, respiratory rate was documented the least in only 1.2% of the records. Only a very small percentage of patients had any vital event documented for all six-time points, i.e. four hourly. Thematic analysis of the interview data identified five broad themes related to detecting and responding promptly to deterioration. These were insufficient monitoring of vital signs linked to limited availability of equipment and supplies, staffing conditions and workload, lack of training and guidelines, and communication and teamwork constraints among healthcare workers.

CONCLUSION

The study showed that nurses did not consistently monitor and record vital signs in the general wards. They also worked in suboptimal ward environments that do not support their ability to promptly detect and respond to clinical deterioration. The findings illustrate the importance of implementation of standardised systems for patient assessment and alert mechanisms for deterioration response. Furthermore, creating a supportive work environment is imperative in empowering nurses to identify and respond to patient deterioration. Addressing these issues is not only beneficial for the nurses but, more importantly, for the well-being of the patients they serve.

Is Modified Early Warning Score associated with clinical outcomes of patients admitted to a university internal medicine ward?

OBJECTIVE

To assess the MEWS association with the clinical outcomes (CO) of patients admitted to an internal medicine ward (IMW) at a Brazilian university hospital (UH).

INTRODUCTION

It is important to quickly identify patients with clinical deterioration, especially in wards. The health team must recognize and act before the situation becomes an adverse event. In Brazil, nurses' work to overcome performance myths and the application of standardized predictive scales for patients in wards is still limited.

DESIGN

An observational cohort study designed and developed by a registered nurse that followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist.

METHODS

Data were collected from the IMW of a UH located in the city of São Paulo, Brazil (2017). An ROC curve was calculated to strengthen the use of a MEWS of < or ≥ 4 as a cutoff. CO of the two subgroups were compared.

RESULTS

Three hundred patients completed the study; their vital signs were recorded consecutively throughout hospitalization in the IMW. The highest MEWS value each day was considered for analysis. Scores < 4 were significantly associated with a higher probability of hospital discharge, a lower chance of transfer to the ICU, a lower total number of days of hospitalization, and a lower risk of death. Score ≥ 4 had worse CO (orotracheal intubation and cardiac monitoring), transfer to the ICU, and increased risk of death.

CONCLUSION

Scores < 4 were associated with positive outcomes, while scores ≥ 4 were associated with negative outcomes. MEWS can help prioritize interventions, increase certainty in decision-making, and improve patient safety, especially in a teaching IMW with medical teams undergoing professional development, thereby ensuring the central role of the nursing team in Brazil.

RELEVANCE FOR CLINICAL PRACTICE

MEWS aid nurses in identifying and managing patients, prioritizing interventions through assertive decision-making.

The United Kingdom's National Early Warning Score: should everyone use it? A narrative review

This review critiques the benefits and drawbacks of the United Kingdom's National Early Warning Score (NEWS). Potential developments for the future are considered, as well as the role for NEWS in an emergency department (ED). The ability of NEWS to predict death within 24 h has been well validated in multiple clinical settings. It provides a common language for the assessment of clinical severity and can be used to trigger clinical interventions. However, it should not be used as the only metric for risk stratification as its ability to predict mortality beyond 24 h is not reliable and greatly influenced by other factors. The main drawbacks of NEWS are that measuring it requires trained professionals, it is time consuming and prone to calculation error. NEWS is recommended for use in acute UK hospitals, where it is linked to an escalation policy that reflects postgraduate experience; patients with lower NEWS are first assessed by a junior clinician and those with higher scores by more senior staff. This policy was based on expert opinion that did not consider workload implications. Nevertheless, its implementation has been shown to improve the efficient recording of vital signs. How and who should respond to different NEWS levels is uncertain and may vary according to the clinical setting and resources available. In the ED, simple triage scores which are quicker and easier to use may be more appropriate determinants of acuity. However, any alternative to NEWS should be easier and cheaper to use and provide evidence of outcome improvement.

Effectiveness of Early Warning Scores for Early Severity Assessment in Outpatient Emergency Care: A Systematic Review

Background and Objectives

Patient assessment and possible deterioration prediction are a healthcare priority. Increasing demand for outpatient emergency care services requires the implementation of simple, quick, and effective systems of patient evaluation and stratification. The purpose of this review is to identify the most effective Early Warning Score (EWS) for the early detection of the risk of complications when screening emergency outpatients for a potentially serious condition.

Materials and Methods

Systematic review of the bibliography made in 2022. Scientific articles in Spanish and English were collected from the databases and search engines of Pubmed, Cochrane, and Dialnet, which were published between 2017 and 2021 about EWSs and their capacity to predict complications.

Results

For analysis eleven articles were selected. Eight dealt with the application of different early warning scores in outpatient situations, concluding that all the scoring systems they studied were applicable. Three evaluated the predictive ability of various scoring systems and found no significant differences in their results. The eight articles evaluated the suitability of NEWS/NEWS2 to outpatient conditions and concluded it was the most suitable in pre-hospital emergency settings.

Conclusions

The early warning scores that were studied can be applied at the pre-hospital level, as they can predict patient mortality in the short term (24 or 48 h) and support clinical patient evaluation and medical decision making. Among them, NEWS2 is the most suitable for screening potentially deteriorating medical emergency outpatients.

Effect of the national early warning score on monitoring the vital signs of patients in the emergency room

OBJECTIVE

To verify the effect of using the National Early Warning Score (NEWS) system on the compliance of the vital signs monitoring interval with those recommended for patients in the emergency room.

METHODS

This is a quasi-experimental, before-and-after study, performed in an emergency room with 280 adult patients selected by convenience. The effect of NEWS on the compliance of the vital signs monitoring interval with those recommended by the system was analyzed by linear regression.

RESULTS

In the Pre-NEWS phase, 143 patients were analyzed (mean age ± standard deviation: 54.4 ± 20.5; male: 56.6%) and, in the Post-NEWS phase, 137 patients (mean age ± standard deviation: 55.5 ± 20.8; male: 50.4%). There was compliance of the vital signs monitoring interval with what is recommended by NEWS in 92.6% of vital signs records after adopting this instrument. This compliance was 9% (p < 0.001) higher in the Post-NEWS phase.

CONCLUSION

The use of the NEWS system increased the compliance of the vital signs monitoring intervals with the ones recommended, but this compliance decreased when the NEWS score pointed to a shorter interval in the monitoring of vital signs.

Efeito do national early warning score no monitoramento dos sinais vitais de pacientes no pronto-socorro

RESUMO Objetivo: Verificar o efeito do uso do sistema National Early Warning Score (NEWS) na conformidade do intervalo de monitoramento dos sinais vitais com o recomendado em pacientes no pronto-socorro. Método: Estudo quasi-experimental, do tipo antes e depois, realizado em um pronto-socorro com 280 pacientes adultos selecionados por conveniência. O efeito do NEWS na conformidade do intervalo de monitoramento dos sinais vitais com o recomendado pelo sistema foi analisado por regressão linear. Resultados: Na fase Pré-NEWS, foram analisados 143 pacientes (idade média ± desvio-padrão: 54,4 ± 20,5; sexo masculino: 56,6%) e, na fase Pós-NEWS, 137 pacientes (idade média ± desvio-padrão: 55,5 ± 20,8; sexo masculino: 50,4%). Houve conformidade do intervalo de monitoramento dos sinais vitais com o recomendo pelo NEWS em 92,6% dos registros de sinais vitais após adoção desse instrumento. Essa conformidade foi maior na fase Pós-NEWS em 9% (p < 0,001). Conclusão: O uso do sistema NEWS aumentou a conformidade dos intervalos de monitorização dos sinais vitais com o recomendado, porém essa conformidade diminuiu quando o escore NEWS apontou para intervalo menor no monitoramento dos sinais vitais.

Using an early warning score for nurse shift patient handover: Before-and-after study

PURPOSE

This study aimed to examine the impact of using an early warning score for shift patient handover on nurse and patient outcomes.

METHODS

A before-and-after study was conducted with nurses and patients in three general wards in a tertiary teaching hospital. A short-time nurse education on the National Early Warning Score 2 and the use of a checklist for score calculation were performed from June 4, 2019 to June 30, 2019. Outcomes of nurse response (safety competency, handover quality, teamwork, safety climate, and documentation of vital signs and clinical concerns), patient response (deterioration occurrence post-admission, hospitalization length, and discharge status), and adverse events (mortality, cardiopulmonary arrest, and unplanned intensive care unit admission) were measured using questionnaires and medical record reviews. Data from 89 nurses and 388 patients were analyzed.

RESULTS

Regarding nurse outcomes, handover quality (p <.001), teamwork (p = .004), safety climate (p = .018), and recordings of vital signs (p = .047) and clinical concerns (p = .008) increased after early warning score use. However, no significant change in the safety competency scores was observed. Regarding patient outcomes, there were no significant changes in the occurrence of deterioration, hospitalization length, discharge status, and occurrence of adverse events between pre-and-post intervention.

CONCLUSION

Despite no significant changes in patient outcomes, using a simple, evidence-based early warning score for patient handover enhanced socio-cultural factors for patient safety, with improved patient monitoring. The findings provide evidence that supports the active implementation of an early warning score to improve patient safety.

Kirkpatrick's evaluation of the effect of a nursing innovation team training for clinical nurses

AIM

This study aims to design a 100-h training programme for nursing innovation teams and to evaluate the effect of this training programme using Kirkpatrick's model.

BACKGROUND

The innovative capability of nurses is a powerful driver for the development of the nursing discipline, and it is currently at a low to medium level in China. Innovation competency development has become a research trend in nurses' in-service education, but only changes in nursing innovation behaviours before and after training have been evaluated. The cascading, continuous assessment tools are rarely used.

METHODS

This is a quasi-experimental research design: pretest and posttest design. Totally, 61 clinical nurses from Hangzhou Hospital of Traditional Chinese Medicine were enrolled for innovation training. This innovation team training programme consisted of a 36-h theoretical training phase and a 64-h collaborative training phase. The four levels of Kirkpatrick's model, that is, reaction, learning, behaviour, and result, were applied for the evaluation together with questionnaires.

RESULTS

At reaction level, the nurses' attendance was over 85% in two phases. The differences between nurse organizational innovation climate scores of tested nurses before and after training were statistically significant (t = -22.559, P < .001). At learning level, there were statistically significant differences between nurses' innovation self-efficacy scale scores of tested nurses before and after training (t = -16.832, P < .001). At behaviour level, the nursing innovation behaviour scale scores of tested nurses were significantly higher after training (t = -18.950, P < .001) than before the training. At result level, the clinical nurse innovation ability of tested nurses after the training were higher than before the training (t = -26.275, P < .001). The numbers of patent applications, granted patents, application for scientific research projects, sponsored scientific research projects, and papers published by team members after the training were larger than those before training (Z = -2.032, P = .042).

CONCLUSION

Kirkpatrick's model can evaluate the effectiveness of nursing innovation training for clinical nurses. The nursing innovation training is beneficial to improve nurses' innovation capacity, organizational innovation climate and innovation self-efficacy, and nursing innovation behaviour and promote the output of research and innovation projects.

IMPLICATIONS FOR NURSING MANAGEMENT

Managers can flexibly develop training modules with regional characteristics based on this programme to effectively improve the innovation ability of clinical nurses, thus meeting the urgent demand for innovative nursing talents and the rapid development of nursing disciplines.

Wavelet Transform Artificial Intelligence Algorithm-Based Data Mining Technology for Norovirus Monitoring and Early Warning

Norovirus monitoring and early warning can be used for diagnosis without etiological testing, and the treatment of this disease does not require the antibiotics. It often occurs in preschool children and affects their growth and development, so the coping measures for this disease are more prevention than treatment. In this study, the clinical data of 2133 children with diarrhea were collected. Based on the artificial intelligence (AI) algorithm of wavelet transform, a related model for data mining and processing of children's intestinal ultrasound images and stool specimens was constructed. Then, the norovirus infection trend was warned based on the wavelet analysis algorithm model. The results showed that the intestinal ultrasound image processed by the wavelet transform algorithm was clearer. The positive detection rate of norovirus in children with clinical diarrhea was as high as 59%, and the children had different degrees of body damage, of which the probability of compensatory metabolic acidosis was the highest. The epidemiological analysis found that children with norovirus infection were mainly concentrated in the age group under 2 years old and over 5 years old and showed a peak of infection in December. In summary, the intelligent algorithm based on wavelet transform can realize the noise reduction of intestinal ultrasound, and it should protect children with susceptible age and susceptible seasons to reduce the clinical infection rate of norovirus.

Application of the national early warning score (NEWS) in patients with acute aortic dissection: A case-control study

BACKGROUND

The vital-sign monitoring strategy of patients with acute aortic dissection in the emergency department is mainly based on traditional experience. This study attempts to explore the significance of the national early warning score (NEWS) in monitoring the condition of patients with acute aortic dissection during emergency observation and to provide evidence for emergency nurses in optimal and scientific monitoring of patients.

METHODS

The case-control method was used to continuously enrol patients with acute aortic dissection who had been in the emergency department; the STROBE checklist was used in this process. Based on patients' clinical deterioration, they were divided into two groups: clinical deterioration and non-clinical deterioration. The NEWS at each time point was compared by independent-samples t-test, and the predictive power of NEWS was evaluated according to the area under the receiver operating characteristic curve.

RESULTS

A total of 290 patients with acute aortic dissection were included: 46 patients showed clinical deterioration and 244 did not. There were significant differences in the NEW scores of the two groups at admission time and at 12, 8, 4 and 0.5 h before clinical deterioration. The NEW scores of the clinical deterioration group showed an upward trend, while the non-clinical deterioration group showed a relatively stable trend. The NEWS can be used to predict the occurrence of clinical deterioration earlier at 4 h before clinical deterioration. Simultaneously, the patient's respiration rate and SpO₂ had better predictive performance than other vital signs.

CONCLUSION

The NEWS can be used to triage patients with acute aortic dissection admitted to the emergency department. Continuous use of the NEWS for monitoring can play a vital role in early warning of clinical deterioration in patients with acute aortic dissection. In clinical care, attention should also be paid when patients with acute aortic dissection have abnormal respiration rate and SpO₂ .

Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments

Early warning scores (EWSs) help prevent and recognize and thereby act as the first signs of clinical and physiological deterioration. The objective of this study is to evaluate different EWSs (National Early Warning Score 2 (NEWS2), quick sequential organ failure assessment score (qSOFA), Modified Rapid Emergency Medicine Score (MREMS) and Rapid Acute Physiology Score (RAPS)) to predict mortality within the first 48 h in patients suspected to have Coronavirus disease 2019 (COVID-19). We conducted a retrospective observational study in patients over 18 years of age who were treated by the advanced life support units and transferred to the emergency departments between March and July of 2020. Each patient was followed for two days registering their final diagnosis and mortality data. A total of 663 patients were included in our study. Early mortality within the first 48 h affected 53 patients (8.3%). The scale with the best capacity to predict early mortality was the National Early Warning Score 2 (NEWS2), with an area under the curve of 0.825 (95% CI: 0.75–0.89). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive patients presented an area under the curve (AUC) of 0.804 (95% CI: 0.71–0.89), and the negative ones with an AUC of 0.863 (95% CI: 0.76–0.95). Among the EWSs, NEWS2 presented the best predictive power, even when it was separately applied to patients who tested positive and negative for SARS-CoV-2.

The optimal threshold for prompt clinical review: An external validation study of the national early warning score

AIMS AND OBJECTIVES

The aim of this study was to determine the optimal threshold for national early warning score in clinical practice.

BACKGROUND

The national early warning score is an aggregate early warning score aiming to predict patient mortality. Studies validating national early warning score did not use standardised patient outcomes or did not always include clinical workload in their results. Since all patients with a positive national early warning score require a clinical workup, it is crucial to determine the optimal threshold to limit false-positive alerts.

DESIGN

An external validation study using retrospectively collected data of patient admissions in six Belgian hospitals.

METHODS

We adhered to the STARD guideline for reporting. Two sample groups were selected: the cross-sectional sample (admitted patients, 1 day every 4 months) and the serious adverse event sample (all patients with unexpected death, cardiac arrest and unplanned admission to the intensive care unit). The maximum registered national early warning score value was collected in both groups. Predictive values were used as estimates for clinical workload.

RESULTS

We collected 1,523 in the cross-sectional sample and 390 patients in the serious adverse event sample. A national early warning score ≥5 had a predictive value of 6.8% and a negative predictive value of 99.5% to predict unexpected death, cardiac arrest with cardiopulmonary resuscitation or unplanned admission to intensive care (AUROC 0.841). The performance of national early warning score differed between outcome measures. Considering the predictive value, the optimal threshold for national early warning score is ≥5.

CONCLUSIONS

We validated national early warning score to be applied in general hospital wards and confirmed the optimal threshold (≥5).

RELEVANCE TO CLINICAL PRACTICE

When a patient has a national early warning score <5, we may assume that in the next 24 hr this patient is less likely to die unexpectedly, receive cardiopulmonary resuscitation or be transferred to the ICU. Because of the significant number of false positives when national early warning score is ≥5, hospitals should create workable guidelines for clinical practice.

Clinical impact of multi-parameter continuous non-invasive monitoring in hospital wards: a systematic review and meta-analysis

OBJECTIVE

Delayed response to clinical deterioration as a result of intermittent vital sign monitoring is a cause of preventable morbidity and mortality. This review focuses on the clinical impact of multi-parameter continuous non-invasive monitoring of vital signs (CoNiM) in non-intensive care unit patients.

DESIGN

Systematic review and meta-analysis of primary studies. Embase, MEDLINE, HMIC, PsycINFO and Cochrane were searched from April 1964 to 18 June 2019 with no language restriction.

SETTING

The search was limited to hospitalised, non-intensive care unit adult patients who had two or more vital signs continuously monitored.

PARTICIPANTS

All primary studies that evaluated the clinical impact of using multi-parameter CoNiM in adult hospital wards outside of the intensive care unit.

MAIN OUTCOME MEASURES

Clinical impact of multi-parameter CoNiM.

RESULTS

This systematic review identified 14 relevant studies from 3846 search results. Five studies were classified as Group A - associations found between measured vital signs and clinical parameters. Nine studies were classified as Group B - comparison between clinical outcomes of patients with and without multi-parameter CoNiM. Vital signs data from CoNiM were found to associate with type of presenting complaint, level of renal function and incidence of major clinical events. CoNiM also assisted in diagnosis by differentiating between patients with acute heart failure, stroke and sepsis (with sub-clustering of septic patients). In the meta-analysis, patients on multi-parameter CoNiM had a 39% decrease in risk of mortality (risk ratio [RR] 0.61; 95% confidence interval [95% CI] -0.39-0.95) when compared to patients with regular intermittent monitoring. There was a trend of reduced intensive care unit transfer (RR 0.86; 95% CI -0.67-1.11) and reduced rapid response team activation (RR 0.61; 95% CI 0.26-1.43). A trend towards reduced hospital length of stay was also found using weighted mean difference (WMD -3.32 days; 95% CI -8.82-2.19 days).

CONCLUSION

There is evidence of clinical benefit in implementing CoNiM in non-intensive care unit patients. This review supports the use of multi-parameter CoNiM outside of intensive care unit with further large-scale RCTs required to further affirm clinical impact.