Escala de alerta precoce na identificação de pacientes com risco de deterioração clínica / Early warning scale for identifying patients at risk of clinical deterioration / Escala de alerta temprana en la identificación de pacientes con riesgo de deterioro clínico

Objetivo: avaliar pontuação da National Early Warning Score (NEWS) em relação ao tipo de desfecho e perfil dos pacientes da enfermaria clínica médica de um hospital em Teresina, Piauí, Brasil. Método: estudo quantitativo realizado num hospital público, em Teresina, com 150 prontuários de pacientes internados no setor clínica médica de fevereiro de 2022 a dezembro de 2022, a partir de registros demográficos, clínicos e valores da escala na admissão e desfecho. Resultados: houve associação dos valores da escala com a faixa etária (p=0,029), tempo de internação (p=0,023) e tipo de desfecho (p < 0,001). Alto risco clínico prevaleceu entre pacientes do sexo masculino (13%), na faixa etária de 60 a 94 anos (13%), com permanência de 21 a 57 dias (19,2%) e óbito como desfecho (100%). Conclusão: implementação da referida escala evidenciou ser fundamental para prever agravos clínicos e melhorar qualidade da assistência.

Objective: to evaluate the National Early Warning Score (NEWS) in relation to the type of outcome and profile of patients in the medical clinical ward of a hospital in Teresina, Piauí, Brazil. Method: a quantitative study conducted in a public hospital in Teresina, with 150 medical records of patients admitted to the medical clinic sector from February 2022 to December 2022, based on demographic and clinical records and scale values at admission and outcome. Results: there was an association between the scale values and the age group (p=0.029), length of stay (p=0.023) and type of outcome (p < 0.001). High clinical risk prevailed among male patients (13%), aged between 60 and 94 years (13%), with a stay of 21 to 57 days (19.2%), and death as an outcome (100%). Conclusion: implementation of the aforementioned scale proved to be fundamental for predicting clinical problems and improving care quality.

Objetivo: evaluar el puntaje de la National Early Warning Score (NEWS) con respecto al tipo de desenlace y el perfil de los pacientes de la enfermería clínica médica de un hospital en Teresina, Piauí, Brasil. Método: estudio cuantitativo realizado en un hospital público en Teresina, con 150 historiales médicos de pacientes internados en el sector de clínica médica desde febrero de 2022 hasta diciembre de 2022, a partir de registros demográficos, clínicos y valores de la escala en la admisión y desenlace. Resultados: hubo asociación de los valores de la escala con la edad (p=0,029), tiempo de internación (p=0,023) y tipo de desenlace (p < 0,001). El alto riesgo clínico prevaleció entre los pacientes del sexo masculino (13%), en la franja de edad entre 60 y 94 años (13%), con una estancia de 21 a 57 días (19,2%) y fallecimiento como desenlace (100%). Conclusión: la implementación de dicha escala demostró ser fundamental para prever agravios clínicos y mejorar la calidad de la asistencia.

Curving-Stretching Induced Alignment in Hydrogel Actuators for Enhanced Grip Strength and Rapid Response.

Natural tissues, like ligaments and tendons, display not just robust mechanical performance but also complex anisotropic structures extending beyond one-directional arrangements. However, fabricating hydrogel actuators with biomimetic three-dimensional anisotropy remains challenging. Herein, a simple strategy involving curving-stretching induced alignment is proposed to prepare anisotropic Fe3+-cross-linked poly(acrylic acid)-poly(acrylamide) hydrogel actuators. These hydrogels exhibit exceptional mechanical properties, boasting a fracture stress of 7.1 MPa and a superior modulus of 33.2 MPa when prestretched to 200% strain, which are 2.3 times and 4.9 times higher than their unstretched counterparts. The stretched anisotropic hydrogel gripper, stronger than its unstretched counterpart, can lift heavy objects while also achieving rapid responsiveness to stimuli. This work introduces a novel and effective method for fabricating anisotropic hydrogels, highlighting their broad applicability in fields such as soft robotics, biomedical devices, and beyond.

Impact of rapid response system in mortality and complications post-orthopedic surgery: a retrospective cohort study.

BACKGROUND: Rapid response systems (RRSs) are used in hospitals to identify and treat deteriorating patients. However, RRS implementation and outcomes in orthopedic and surgical patients remain controversial. We aimed to investigate whether the RRS affects mortality and complications after orthopedic surgery. METHODS: The National Health Insurance Service of South Korea provided the data for this population-based cohort study. Individuals who were admitted to the hospital that implemented RRS were categorized into the RRS group and those admitted to a hospital that did not implement the RRS were categorized into the non-RRS group. In-hospital mortality and postoperative complications were the endpoints. RESULTS: A total of 931,774 adult patients were included. Among them, 93,293 patients underwent orthopedic surgery in a hospital that implemented RRS and were assigned to the RRS group, whereas 838,481 patients were assigned to the non-RRS group. In multivariable logistic regression analysis, the RRS group was not associated with in-hospital mortality after orthopedic surgery compared with the non-RRS group (odds ratio [OR] 0.93, 95% confidence interval [CI] 0.80, 1.08; P = 0.350). However, the RRS group was associated with a 14% lower postoperative complication rate after orthopedic surgery than the non-RRS group (OR 0.86, 95% CI 0.84, 0.86; P < 0.001). CONCLUSIONS: The RRS was not associated with in-hospital mortality following orthopedic surgery in South Korea. However, RRS deployment was related to a decreased risk of postoperative complications in patients undergoing orthopedic surgery.

A pH-responsive dual-emission composite for fast detection of BAs and visual monitoring seafood freshness with large luminescence color difference.

Sensing biogenic amine (BAs) content is very important for assessing food freshness. To address the limitations such as small color difference values (ΔE) and complex preparation of probes for visualizing the freshness of seafood, a pH-responsive ratiometric fluorescent probe (EnEB) was prepared by Eu(NO3)3, trimeric acid (BTC), and hydrochloric acid norepinephrine (Enr). EnEB emitted blue (446 nm) and red fluorescence (616 nm) originating from Enr and Eu3+, respectively, and exhibiting a fluorescence wavelength difference up to 170 nm. The ratiometric fluorescent signals of EnEB showed a linear correlation with pH in the range of 5.5-8.0. Thus, EnEB can rapidly and precisely detect BAs, such as histamine, tyramine, and spermine, with detection limits and response times of 1.14 µmol/L (3 s), 1.04 µmol/L (8 s), and 0.41 µmol/L (2 s), respectively. Furthermore, an EnEB aerogel was prepared by loading EnEB in a matrix formed by polyvinyl alcohol (PVA) and agarose (AG). EnEB aerogel exhibited excellent acid-base gas-sensing properties. The fluorescence color of EnEB aerogel can change significantly with the deterioration of seafood. When seafood changed from fresh to decayed, the ΔE value of EnEB aerogel was as high as 80.9. Importantly, the results of seafood freshness by naked eye using EnEB aerogel was consistent well with the TVB-N content and the freshness standard stipulated by national food standard, indicating EnEB aerogel can accurately visually and real-time monitor seafood freshness. Furthermore, the strategy for sensing food freshness based on EnEB aerogel also offered multiple color variations to indicate fine freshness levels of seafood. This work provided a convenient, efficient, and accurate approach to assessing the freshness of seafood. Additionally, EnEB also has promising applications in security and anti-counterfeiting.

Versatile Keratin Fibrous Adsorbents with Rapid-Response Shape-Memory Features for Sustainable Water Remediation.

Biodegradable shape-memory polymers derived from protein substrates are attractive alternatives with strong potential for valorization, although their reconstruction remains a challenge due to the poor processability and inherent instability. Herein, based on Maillard reaction and immobilization, a feather keratin fibrous adsorbent featuring dual-response shape-memory is fabricated by co-spinning with pullulan, heating, and air-assisted spraying ZIF-8-NH2. Maillard reaction between the amino group of keratin and the carbonyl group of pullulan improves the mechanics and thermal performance of the adsorbent. ZIF-8-NH2 immobilization endows the adsorbent with outstanding multipollutant removal efficiency (over 90%), water stability, and photocatalytic degradation and sterilization performance. Furthermore, the adsorbent can be folded to 1/12 of its original size to save space for transportation and allow for rapid on-demand unfolding (12 s) upon exposure to water and ultraviolet irradiation to facilitate the adsorption and photocatalytic activity with a larger water contact area. This research provides new insight for further applications of keratin-based materials with rapid shape-memory features.

Rapid response system and mortality in intensive care unit: a nationwide cohort study in South Korea.

The beneficial effects of a rapid response system (RRS) on clinical outcomes in patients admitted to a ward have been established. However, the relationship between RRS implementation and clinical outcomes in patients in the intensive care unit (ICU) has not yet been established. Therefore, we aimed to investigate whether the RRS affects clinical outcomes in critically ill patients admitted to the ICU. As a nationwide, population-based cohort study, all adult patients who were admitted to the ICU from 1 January 2019 to 31 December 2021 in South Korea were included. Patients in hospitals with an RRS formed the RRS group; those in hospitals lacking an RRS constituted the non-RRS group. In total, 900,606 patients admitted to the ICU were included in the final analysis. Among them, 365,305 (40.6%) were assigned to the RRS group, and 535,301 (59.4%) were assigned to the non-RRS group. After propensity score (PS) matching, a total of 454,748 patients (227,374 in each group) were included in the final analysis. In the PS-matched cohort, the RRS group showed 8% (odds ratio [OR]: 0.92, 95% confidence interval [CI]: 0.91, 0.94; P < 0.001) and 11% (hazard ratio: 0.89, 95% CI: 0.88, 0.90; P < 0.001) lower in-hospital mortality rates and 1-year all-cause mortality rates than the non-RRS group, respectively. In addition, ICU readmission rates and the occurrence rate for adverse events during hospitalization in the RRS group were 3% (OR: 0.97, 95% CI: 0.95, 0.98; P < 0.001) and 21% (OR: 0.79, 95% CI: 0.78, 0.80; P < 0.001) lower than those in the non-RRS group, respectively. RRS deployment was linked to lower in-hospital and 1-year all-cause mortality rates, ICU readmission rates, and the occurrence of adverse events during hospitalization among ICU patients. The findings indicate that using the RRS could assist not only patients in the ward but also critically ill patients in the ICU.

Variation in nurses' compliance with an Early Warning Score protocol: A retrospective cohort study.

Introduction: Early Warning Score (EWS) protocols are based on intermittent vital sign measurements, and aim to detect clinical deterioration in a timely manner. Despite its predictive value, its effectiveness remains suboptimal. An important limitation appears to be poor compliance with the EWS protocol and its variation between general wards. The current research does not yet provide an understanding of EWS compliance and variation in different nursing wards. Aim: To explore the variation in nurses' compliance with the EWS protocol among patients with and without complications and between different nursing wards. Methods: In a retrospective single-center cohort study, all patient files from three nursing wards of a tertiary teaching hospital in the Netherlands were reviewed over a 1-month period. Compliance was divided into three categories:1) calculation accuracy, 2) monitoring frequency end 3) clinical response. Results: The cohort of 210 patients contained 5864 measurements, of which 4125 (70.6 %) included EWS. Significant differences in the measured vital signs within incomplete measurements were found among nursing wards. Compliance to monitoring frequency was higher within EWSs of 0-1 (78.4 %) than within EWSs of ≥2 (26.1 %). The proportion of correct follow-up was significantly higher in patients with complications, as was the correct clinical response to an EWS of ≥3 (84.8 % vs. 55.0; p = .011). Conclusion: Our results suggest suboptimal compliance with the EWS protocol, with large variations between patients with and without complications and between different general care wards. Nurses tended to be more compliant with the EWS protocol for patients with complications.

[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early prediction and classification algorithm for SCA based on deep transfer learning. With limited ECG data, it extracts heart rate variability features before the onset of SCA and utilizes a lightweight convolutional neural network model for pre-training and fine-tuning in two stages of deep transfer learning. This achieves early classification, recognition and prediction of high-risk ECG signals for SCA by neural network models. Based on 16 788 30-second heart rate feature segments from 20 SCA patients and 18 sinus rhythm patients in the international publicly available ECG database, the algorithm performance evaluation through ten-fold cross-validation shows that the average accuracy (Acc), sensitivity (Sen), and specificity (Spe) for predicting the onset of SCA in the 30 minutes prior to the event are 91.79%, 87.00%, and 96.63%, respectively. The average estimation accuracy for different patients reaches 96.58%. Compared to traditional machine learning algorithms reported in existing literatures, the method proposed in this paper helps address the requirement of large training datasets for deep learning models and enables early and accurate detection and identification of high-risk ECG signs before the onset of SCA.

Nurses' experience with patient deterioration and rapid response teams.

BACKGROUND: While timely activation and collaborative teamwork of Rapid Response Teams (RRTs) are crucial to promote a culture of safety and reduce preventable adverse events, these do not always occur. Understanding nurses' perceptions of and experiences with RRTs is important to inform education and policy that improve nurse performance, RRT effectiveness, and patient outcomes. AIM: The aim of this study was to explore nurse perceptions of detecting patient deterioration, deciding to initiate RRTs, and experience during and at conclusion of RRTs. METHODS: A qualitative descriptive study using semi-structured focus group interviews was conducted with 24 nurses in a Chicago area hospital. Interviews were audio-recorded, transcribed verbatim, and coded independently by investigators. Thematic analysis identified and organized patterns of meaning across participants. Several strategies supported trustworthiness. RESULTS: Data revealed five main themes: identification of deterioration, deciding to escalate care, responsiveness of peers/team, communication during rapid responses, and perception of effectiveness. CONCLUSIONS: Findings provide insight into developing a work environment supportive of nurse performance and interprofessional collaboration to improve RRT effectiveness. Nurses described challenges in identification of subtle changes in patient deterioration. Delayed RRT activation was primarily related to negative attitudes of responders and stigma. RRT interventions were often considered a temporary fix leading to subsequent RRTs, especially when patients needing a higher level of care were not transferred. Implications include the need for ongoing RRT monitoring and education on several areas such as patient hand-off, RRT activation, nurse empowerment, interprofessional communication, role delineation, and code status discussions.

A colorimetric sensor based on multiple elements doped carbon dot nanozyme for rapid detection of 1-naphthol in human urine samples.

The residual carbaryl in crops can cause serious damage to the human kidney and nervous system after entering the human body, which may be metabolized to 1-naphthol (1-NAP) and excreted through urine. 1-NAP is often used as the biomarker for carbaryl exposure, so the intake or leakage of carbaryl can be monitored by detecting the concentration of 1-NAP. Herein, Co, N, P ternary co-doped carbon dots (CoNP-CDs) derived from vitamin B12 were synthesized by a facile hydrothermal method. CoNP-CDs exhibited oxidase-like activity and excellent peroxidase-like activity, which was attributed to the Fenton-like reaction of Co2+/Co3+ and the presence of pyrrole N and P elements, which together provided multiple active sites for chromogenic substrates. Due to the dual enzyme-like activity of CoNP-CDs, hydroxyl radicals (OH) and superoxide radicals (O2-) were generated during the catalytic process, which could rapidly oxidize colorless 3,3',5,5'-tetramethyl benzidine (TMB) to blue oxidation products (oxTMB). The α-carbon in 1-NAP can be attacked by OH, and the catalytic oxidation process of TMB can be inhibited by the consumption of OH, so that the blue color of the solution became lighter. Based on this principle, a smartphone-assisted colorimetric sensing platform was constructed for the detection of 1-NAP, and which resulted in a linear range of 1.07-37.3 µM and a visual detection limit of 0.68 µM. Moreover, the colorimetric sensing system showed satisfactory recoveries in the detection of human urine samples. The colorimetric sensing system owned the advantages of fast response, strong selectivity and simple operation, and provided a potential strategy for the on-site detection of 1-NAP.

A multi-nudge-based behavioural insight into ward nurses' respiratory rate measurement: An observational study.

AIM: This study observed changes in respiratory rate measurement (RRM) and identified barriers and challenges in clinical practice that influence healthcare worker behaviour, aiming to improve RRM in a hospital setting. DESIGN: An observational study was conducted. METHODS: We observed and analysed changes in the behaviour of healthcare workers at a hospital where multi-nudges were introduced to improve RRM. RESULTS: We checked respiration rate using electronic data and discovered that the original measurement rates were low. Measurement rates rapidly increased after posters were added. Barriers such as time constraints and measurement equipment were also noted. CONCLUSION: RRM was found to be effective in promoting behavioural economics in medical settings. The results show that incorporating behavioural science principles into medical interventions has the potential to positively change behaviour. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: By increasing nurses' awareness of respiratory rate measurement and addressing barriers to it, the measurement rate of respiratory rate can also increase, leading to more accurate patient evaluations and triage. IMPACT: WHAT PROBLEM DID THE STUDY ADDRESS?: The proportion of respiratory rate measurements leading to rapid response system (RRS) calls was low. WHAT WERE THE MAIN FINDINGS?: The study observed that a multi-nudge approach effectively changes the behaviour of ward nurses, resulting in enhanced quality of medical care. WHERE AND ON WHOM WILL THE RESEARCH HAVE AN IMPACT?: This research can serve as a valuable reference for leaders promoting healthcare quality projects, by offering a method to encourage behavioural change. REPORTING METHOD: This study complied with the EQUATOR guidelines and its reporting adheres to the STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Frailty as a trigger for goals-of-care discussions in rapid response calls: A single-centre retrospective cohort study.

BACKGROUND: Timely goals-of-care (GOC) discussions are essential for end-of-life planning, particularly during acute hospital admissions, where ambiguity often persists. Frailty, prevalent in the ageing population and linked to adverse outcomes, underscores the need to align treatment strategies with quality of life. Recognising frailty as a trigger for GOC discussions during rapid response calls (RRCs) is critical for efficient resource management and improving patient outcomes. METHODS: This single-centre retrospective cohort study included all hospitalised patients aged ≥65 years admitted between September 2021 and June 2023 who experienced an RRC. Frailty was assessed using the Clinical Frailty Scale (CFS) during the RRC. The primary outcome was to investigate whether frailty, specifically assessed by the CFS as screened during an RRC, could be a suitable clinical trigger for initiating GOC discussions. We also aimed to identify the proportion of patients with frailty (CFS score: ≥5) and predictors at the time of RRC, resulting in recommendations for GOC discussions. RESULTS: Among 4954 patients, 1685 (34.0%) were classified as frail (CFS score: ≥5). Recommendations increased with frailty levels (nonfrail [CFS score: 1-4]: 6.6%, mildly frail [CFS score: 5]: 19.3%, moderate-to-severely frail [CFS score: 6-9]: 32.2%; p < 0.001). Frailty independently increased the probability of GOC recommendations during an RRC (area under the receiver operating characteristic curve = 0.71). The CFS cut-off point for GOC recommendations was ≥5. The presence of frailty was associated with higher odds of receiving GOC recommendations for mildly frail (CFS score: 5; odds ratio [OR] = 2.53; 95% confidence interval: 1.96-3.27) and moderate-to-severely frail (CFS score: 6-9; OR = 4.69; 95% confidence interval: 3.81-5.78) compared to nonfrail patients. CONCLUSION: Frailty, identified during an RRC, served as a robust trigger for GOC recommendations, highlighting the importance of tailored proactive discussions before episodes of deterioration. Higher levels of frailty (CFS score: ≥5) demonstrate practical markers for aiding clinicians with proactive GOC discussions.

Shock Simulation Day: Medical Decision-Making and Communication Skills for Managing a Hypotensive Adult in a Rapid Response.

Introduction: Shock is a life-threatening condition amongst hospitalized patients and requires urgent management to avoid mortality. Early exposure is vital for educational and patient safety purposes. Methods: We developed a 90-minute shock day session that provided internal medicine interns with a cognitive framework for the initial diagnosis and management of shock, which they applied to two simulations. The first simulation involved a patient with septic shock, and the second involved a patient with cardiogenic shock. Critical action checklists were used to assess learners and guide structured debriefs after each simulation. Medical decision-making and communication frameworks were presented through a presession video and a chalk talk. The curriculum was evaluated using pre- and postintervention surveys to assess knowledge and confidence. Results: Forty-eight interns participated in the session in 2022 and 2023. We observed an increase in the percentage of learners correctly answering a knowledge-based question regarding the amount of fluid administered to a patient in septic shock (pre: 33%, post: 62%, p < .01), as well as increases in learner-reported confidence in leading a rapid response (pre: 9%, post: 62%) and in managing undifferentiated shock (pre: 13%, post: 56%), septic shock (pre: 20%, post: 83%), cardiogenic shock (pre: 2%, post: 54%), hemorrhagic shock (pre: 20%, post: 73%), and anaphylactic shock (pre: 22%, post: 54%, all ps < .01). Discussion: Employing a variety of pedagogical methods, we demonstrated that intern knowledge and confidence regarding the management of a hypotensive patient during a rapid response can be increased through participation in our curriculum.

Care in the Community: A COVID-19 initiative to reduce hospital re-presentations among community-dwelling people.

OBJECTIVE: The COVID-19 pandemic has had a substantial impact on the utilisation of hospital and emergency department (ED) services. We examined the effect of a rapid response service on hospital re-presentations among people discharged from the ED and short-stay wards at a tertiary referral hospital. METHODS: This retrospective cohort study compared 112 patients who completed the Care in the Community program with 112 randomly selected controls. Both cases and controls were discharged from hospital between September 2020 and June 2021. Intervention patients were evaluated by a multidisciplinary team, who implemented a goal-directed program of up to 4-weeks duration. Logistic regression, negative binomial regression and Cox proportional hazards regression were used to evaluate outcomes at 28 days and at 6 months. RESULTS: The median time between referral and the first home visit was 3.9 days. In adjusted analyses, the intervention reduced hospital re-presentations at 28 days (odds ratio: .40, 95% confidence interval (CI): .17-.94) and lengthened the time to the first hospital re-presentation (hazard ratio: .59, 95% CI: .38-.92). Although the intervention did not reduce the total number of hospital re-presentations at 6 months (adjusted incidence rate ratio: .73, 95% CI: .49-1.08), it reduced total time spent in hospital by 303 days (582 vs. 885). CONCLUSIONS: This study is among the first to investigate the effect of a community-based intervention on hospital re-presentations during the COVID-19 pandemic. It provides evidence that a sustainable 4-week intervention is associated with reduced hospital re-presentations and time spent in hospital.

Effect of Rapid Response Order Panels on Resident and Nurse Satisfaction.

Background: Hospitals are required to have rapid response (RR) systems in place to respond to acute changes in a patient's condition. In high-stress situations like RR, medical residents face decision-making challenges due to time constraints and perceived pressure. Instituting order panels (OPs) can facilitate clinical decision making and improve residents' and nurses' satisfaction and patient safety. Objective: This quality improvement (QI) project aimed to create and institute standardized OPs for common RR clinical scenarios to improve satisfaction of internal medicine residents and nurses with the RR process. Methods: This was a single tertiary care center QI project that developed OPs for 10 common RR scenarios. Resident and nursing satisfaction with RR was assessed before and after OP implementation via survey and qualitative data collection. Results: Residents and nurses expressed high levels of satisfaction across various aspects of the RR process before and after OP implementation in both quantitative and qualitative analysis. Increased satisfaction was observed among residents regarding time spent placing orders (94%; P = 0.02) and time spent correcting wrong orders (87%; P = 0.03) after OP implementation. The nurses' survey revealed no statistically significant differences in satisfaction before and after the implementation of OPs regarding communication, collaboration, efficiency, and organization of the team. Conclusion: The introduction of standardized OPs for RRs resulted in increased satisfaction among internal medicine residents in terms of order placement and correcting wrong orders. Nurse satisfaction based on survey responses remained neutral. Qualitative data from both groups demonstrated a positive impact on communication, efficiency, and teamwork.

A Rapid Response Mobile Application Improves First-Year Resident Clinical Performance During Simulated Care Events: A Randomized Controlled Trial.

BACKGROUND: Rapid response teams (RRTs) are critical to the timely and appropriate management of acutely decompensating patients. In the academic setting, the vital role of RRT leader is often filled by a junior resident physician who may lack the necessary medical knowledge and experience. Cognitive aids help improve guideline adherence and may support resident performance as they transition into leadership roles. OBJECTIVE: This study evaluated the impact of a rapid response mobile application on intern performance during simulated rapid response events. DESIGN: This randomized controlled trial compared the performance of interns in two simulated rapid response scenarios with and without access to the rapid response mobile application. The scenarios included anaphylaxis and supraventricular tachycardia (SVT). Simulations were video recorded and coded by trained raters. PARTICIPANTS: Interns in all specialties at our institution. MAIN MEASURES: Outcomes included (1) time to ordering critical medications (epinephrine and adenosine), (2) overall clinical performance using a checklist-based performance measure, and (3) usability of the mobile application. Enrollment and data collection occurred between November 2022 and February 2023. KEY RESULTS: Forty-four interns from 12 specialties were randomized to the intervention group (N = 22) and the control group (N = 22). Time to order critical medications was significantly reduced in the intervention group compared to control for anaphylaxis (P < 0.005) and SVT (P < 0.005). The intervention group had significantly higher performance scores compared to the control group for the anaphylaxis portion (P < 0.006). Usability scores for the rapid response toolkit were good. CONCLUSIONS: Access to a rapid response mobile application improved the quality of care administered by interns during two simulated rapid response scenarios as determined by a decrease in time to ordering critical medications and improved performance scores. The intervention group found the mobile application to be usable. This work adds to existing literature supporting the use of technology-based cognitive aids to improve patient care.

Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study.

This study investigated the accuracy of a machine learning algorithm for predicting mortality in patients receiving rapid response system (RRS) activation. This retrospective cohort study used data from the In-Hospital Emergency Registry in Japan, which collects nationwide data on patients receiving RRS activation. The missing values in the dataset were replaced using multiple imputations (mode imputation, BayseRidge sklearn. linear model, and K-nearest neighbor model), and the enrolled patients were randomly assigned to the training and test cohorts. We established prediction models for 30-day mortality using the following four types of machine learning classifiers: Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting, random forest, and neural network. Fifty-two variables (patient characteristics, details of RRS activation, reasons for RRS initiation, and hospital capacity) were used to construct the prediction algorithm. The primary outcome was the accuracy of the prediction model for 30-day mortality. Overall, the data from 4,997 patients across 34 hospitals were analyzed. The machine learning algorithms using LightGBM demonstrated the highest predictive value for 30-day mortality (area under the receiver operating characteristic curve, 0.860 [95 % confidence interval, 0.825-0.895]). The SHapley Additive exPlanations summary plot indicated that hospital capacity, site of incidence, code status, and abnormal vital signs within 24 h were important variables in the prediction model for 30-day mortality.

An economic evaluation of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) clinical trial.

BACKGROUND: Early recognition and response to clinical deterioration reduce the frequency of in-hospital cardiac arrests, mortality, and unplanned intensive care unit (ICU) admissions. This study aimed to investigate the impact of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) intervention on hospital costs and patient length of stay (LOS). METHOD: The PRONTO cluster randomised control trial was conducted to improve nurses' responses to patients with abnormal vital signs. Hospital data were collected pre-intervention (T0) at 6 months (T1) and 12 months (T2) post-intervention. The economic evaluation involved a cost-consequence analysis from the hospital's perspective. Generalised estimating equations were used to estimate the parameters for regression models of the difference in costs and LOS between study groups and time points. RESULTS: Hospital admission data for 6065 patients (intervention group, 3102; control group, 2963) were collected from four hospitals for T0, T1 and T2. The intervention cost was 69.61 A$ per admitted patient, including the additional intervention training for nurses and associated labour costs. The results showed cost savings and a shorter LOS in the intervention group between T0 - T1 and T0 - T2 (cost differences T0 - T1: -364 (95% CI -3,782; 3049) A$ and T0 - T2: -1,710 (95% CI -5,162; 1,742) A$; and LOS differences T0 - T1: -1.10 (95% CI -2.44; 0.24) days and T0 & T2: -2.18 (95% CI -3.53; -0.82) days). CONCLUSION: The results of the economic analysis demonstrated that the PRONTO intervention improved nurses' responses to patients with abnormal vital signs and significantly reduced hospital LOS by two days at 12 months in the intervention group compared to baseline. From the hospital's perspective, savings from reduced hospitalisations offset the costs of implementing PRONTO.

Listen to me, I really am sick! Patient and family narratives of clinical deterioration before and during rapid response system intervention.

AIM: To explore patient and family narratives about their recognition and response to clinical deterioration and their interactions with clinicians prior to and during Medical Emergency Team (MET) activations in hospital. BACKGROUND: Research on clinical deterioration has mostly focused on clinicians' roles. Although patients and families can identify subtle cues of early deterioration, little research has focused on their experience of recognising, speaking up and communicating with clinicians during this period of instability. DESIGN: A narrative inquiry. METHODS: Using narrative interviewing techniques, 33 adult patients and 14 family members of patients, who had received a MET call, in one private and one public academic teaching hospital in Melbourne, Australia were interviewed. Narrative analysis was conducted on the data. RESULTS: The core story of help seeking for recognition and response by clinicians to patient deterioration yielded four subplots: (1) identifying deterioration, recognition that something was not right and different from earlier; (2) voicing concerns to their nurse or by family members on their behalf; (3) being heard, desiring a response acknowledging the legitimacy of their concerns; and (4) once concerns were expressed, there was an expectation of and trust in clinicians to act on the concerns and manage the situation. CONCLUSION: Clinical deterioration results in an additional burden for hospitalised patients and families to speak up, seek help and resolve their concerns. Educating patients and families on what to be concerned about and when to notify staff requires a close partnership with clinicians. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Clinicians must create an environment that enables patients and families to speak up. They must be alert to both subjective and objective information, to acknowledge and to act on the information accordingly. REPORTING METHOD: The consolidated criteria for reporting qualitative research (COREQ) guidelines were used for reporting. PATIENT OR PUBLIC CONTRIBUTION: The consumer researcher was involved in design, data analysis and publication preparation.

Improvement of the rapid response system at an acute rehabilitation hospital in New Mexico.

Aim: Enhance the Rapid Response System (RRS) in a free-standing acute rehabilitation hospital (ARH) by improving announcements, crash cart standardization and role assignments. Materials & methods: Pre-intervention (PreIQ) and post-intervention questionnaires (PostIQ), conducted in English and utilizing a Likert scale, were distributed in-person to clinical staff, yielding a 100% response rate. The questionnaire underwent no prior testing. The PreIQ were disseminated in February 2021, and PostIQ in December 2022. Results: PostIQ illustrated the improvement of audibility and improved the clarity of roles. The training positively impacted the RRS in the ARH. Conclusion: This study highlights the value of continuous RRS improvement in ARHs. Interventions led to notable enhancements, emphasizing the need for sustained efforts and future research on broader implementation.