Triage Protocol Research Articles

Screening for Nephropathy in Pediatric Type 2 Diabetes: Quality Improvement to Increase Nephropathy Screening.

Screening for early detection of microalbuminuria signaling kidney disease should begin as early as the time of diagnosis of youth-onset type 2 diabetes. This quality improvement initiative aimed to standardize urine nephropathy screening in pediatric patients with type 2 diabetes at a tertiary academic medical center and increase a baseline screening rate of 56%-75% over 6 months (September 2022-February 2023) and sustain that increase for 6 months (March through August 2023). A multi-disciplinary team used quality improvement methods and iterative Plan-Do-Study-Act cycles. Targeted interventions included previsit planning workflow, education, and a new-onset triage protocol. The team collected data at baseline and prospectively by reviewing electronic medical records. The primary outcome measure was pediatric type 2 diabetes clinic visits in diabetes clinic with urine nephropathy screening before or on the visit date. A total of 121 youth were scheduled for T2D clinic visits between September 2021 and August 2023. The mean age was 14.5 years, and 60% were women, 40% were non-Hispanic Black, 28% were Hispanic/Latino, and 15% reported Spanish as their preferred language. Following the interventions of this project, urine nephropathy screening increased from 56% to 75%, and this change was sustained for 6 months. Interventions focused on efficient recognition of the population needing screening, coordinated internal processes around screening, a shared understanding between all stakeholders, and practical support in the healthcare system increased urine nephropathy screening with sustained improvement.

Personalised exercise rehabilitation in cancer survivorship: the percs triage and referral system study protocol

BackgroundTo effectively embed exercise rehabilitation in cancer survivorship care, a co-ordinated system of acute and community exercise rehabilitation services, forming a stepped model of care, is recommended. Patients can be directed to the exercise rehabilitation service which best meets their needs through a system of assessment, triage and referral. Triage and referral systems are not yet widely applied in cancer survivorship practice and need to be evaluated in real-world contexts. The PERCS (Personalised Exercise Rehabilitation in Cancer Survivorship) study aims to evaluate the real-world application of an exercise rehabilitation triage and referral system in cancer survivors treated during the COVID-19 pandemic. Secondary aims are to evaluate change in physical and psychosocial outcomes, and to qualitatively evaluate the impact of the system and patient experiences, at three months after application of the triage and referral system.MethodsThis study will assess the implementation of an exercise rehabilitation triage and referral system within the context of a physiotherapy-led cancer rehabilitation clinic for cancer survivors who received cancer treatment during the COVID-19 pandemic. The PERCS triage and referral system supports decision making in exercise rehabilitation referral by recommending one of three pathways: independent exercise; fitness professional referral; or health professional referral. Up to 100 adult cancer survivors treated during the COVID-19 pandemic who have completed treatment and have no signs of active disease will be recruited. We will assess participants’ physical and psychosocial wellbeing and evaluate whether medical clearance for exercise is needed. Participants will then be triaged to a referral pathway and an exercise recommendation will be collaboratively decided. Reassessment will be after 12 weeks. Primary outcomes are implementation-related, guided by the RE-AIM framework. Secondary outcomes include physical function, psychosocial wellbeing and exercise levels. Qualitative analysis of semi-structured interviews guided by the Consolidated Framework for Implementation Research (CFIR) will provide insights on implementation and system impact.DiscussionThe PERCS study will investigate the real-world application of a cancer rehabilitation triage and referral system. This will provide proof of concept evidence for this triage approach and important insights on the implementation of a triage system in a specialist cancer centre.Trial registrationThis study is registered on ClinicalTrials.gov, registration number: NCT05615285, date registered: 21st October 2022.

Field Triage Tools in Mass Casualty Incidents: A Narrative Review

Mass casualty incidents (MCIs) pose significant challenges to healthcare systems, requiring rapid and effective triage strategies to optimize patient outcomes and resource utilization. This narrative review explores the evolution, effectiveness, ethical considerations, global perspectives, and future directions of field triage tools in MCIs. Beginning with the historical perspective, milestones in triage development, such as the Simple Triage and Rapid Treatment (START) protocol and its adaptations like Jump START and Sort, Assess, Lifesaving Interventions, Treat/Transport (SALT), are discussed. Current field triage systems are evaluated, including their application, limitations, and impact on patient outcomes. Training and education programs, challenges in triage education, and ethical/legal considerations in resource allocation and informed consent are examined. Global variations in triage systems, cultural factors, collaboration efforts, and standardization initiatives are explored to understand regional differences and promote interoperability. Future directions emphasize enhancing triage accuracy, integrating triage with healthcare systems, and research priorities. The review concludes with implications for practice and policy, calling for continued research, collaboration, and innovation to advance field triage capabilities and improve emergency response worldwide.

COVID-19 critical care triage across Canada: a narrative synthesis and ethical analysis of early provincial triage protocols.

The COVID-19 pandemic created conditions of scarcity that led many provinces within Canada to develop triage protocols for critical care resources. In this study, we sought to undertake a narrative synthesis and ethical analysis of early provincial pandemic triage protocols. We collected provincial triage protocols through personal correspondence with academic and political stakeholders between June and August 2020. Protocol data were extracted independently by two researchers and compared for accuracy and agreement. We separated data into three categories for comparative content analysis: protocol development, ethical framework, and protocol content. Our ethical analysis was informed by a procedural justice framework. We obtained a total of eight provincial triage protocols. Protocols were similar in content, although age, physiologic scores, and functional status were variably incorporated. Most protocols were developed through a multidisciplinary, expert-driven, consensus process, and many were informed by influenza pandemic guidelines previously developed in Ontario. All protocols employed tiered morality-focused exclusion criteria to determine scarce resource allocation at the level of regional health care systems. None included a public engagement phase, although targeted consultation with public advocacy groups and relevant stakeholders was undertaken in select provinces. Most protocols were not publicly available in 2020. Early provincial COVID-19 triage protocols were developed by dedicated expert committees under challenging circumstances. Nonetheless, few were publicly available, and public consultation was limited. No protocols were ever implemented, including during periods of extreme critical care surge. A national approach to pandemic triage that incorporates additional aspects of procedural justice should be considered in preparation for future pandemics.

Implementation of stroke protocol: Insights from a tertiary care facility in urban India

Abstract Background: Stroke is the second leading cause of death globally and ranks third for combined death and disability. Over the past two decades, there has been a significant rise in stroke incidence, mortality, and morbidity, with low- and middle-income countries being disproportionately affected. The effectiveness of thrombolytic therapy for acute ischemic stroke has led centers specializing in acute stroke care to develop protocols for rapid identification and triage of stroke patients. It is recommended that various stakeholders be educated on recognizing and managing stroke early and implement stroke protocols to improve coordination between different departments. Materials and Methods: The study was conducted in the emergency department of a tertiary care center in urban India from September 2021 to September 2022. We aimed to determine the average door-to-imaging (DTI) and door-to-needle (DTN) times for patients presenting with acute ischemic stroke. Additionally, we examined the factors contributing to delays in DTN time management of acute ischemic stroke at our center. Results: During the one-year study period, 131 patients with acute stroke presented to our center. One patient was under 18 years old, 10 patients arrived more than 4.5 h after symptom onset, and 2 patients had contraindications for thrombolysis. Consequently, 118 patients were included in the study. The average DTI time was 23 min, and the average DTN time was 58 min. Of these, 106 patients (89.8%) had a DTN time of less than 60 min. The most common cause of treatment initiation delay was obtaining consent (n = 7; 58.3%), followed by an unreliable time of symptom onset (n = 3; 25%) and delays due to resuscitation (n = 2; 16.6%). Conclusion: Acute stroke is a time-sensitive emergency where early thrombolysis can significantly reduce both morbidity and mortality. However, due to a lack of awareness and accessible resources, many patients often arrive outside the treatment window. Despite these limitations, a substantial number of patients do reach the hospital in time. Implementing a stroke protocol and utilizing innovative methods to reduce time can ensure these patients benefit from the global “standard of care” treatment for stroke.

Proof of principle: An animal field triage protocol for livestock and horses caught in natural disasters and major incidents

Field triage systems are available to address mass casualty incidents involving humans, but lack for animals caught in disasters. This study aimed to develop, as a proof of principle, an animal field triage protocol for livestock, horses and wildlife based on an existing human triage system. A literature review was completed, resulting in choosing the human SALT triage algorithm as a starting point, followed by an expert consultation using a two-round Delphi study to evaluate and create the final version of the triage protocol. Finally, a group of first responders were familiarized with the protocol and triage injured animals in a simulated disaster environment using a purpose-built training game and provide written feedback. For livestock and horses, consensus was reached on the use of global sorting based on the criteria ‘autonomously mobile without obvious major injuries’, and on five of six appropriate physiological criteria applied for individual health state assessment. Triaged animals were placed in one of four categories developed for applicable veterinary care, being beyond saving (black), immediate/urgent (red), delayed (yellow) and minor (green). The expert panel agreed that the veterinary triage model is probably workable for livestock and horses but not for wildlife, and has added value in natural disasters and mass casualty incidents involving animals. Validation of the protocol with first responders on the usability of the triage protocol as a proof of principle warrants a careful introduction for practical use and further evaluation during disasters affecting livestock and horses in the field.

Evaluation of a Structured Review Process for Emergency Department Return Visits with Admission

Review of emergency department (ED) revisits with admission allows the identification of improvement opportunities. Applying a health equity lens to revisits may highlight potential disparities in care transitions. Universal definitions or practicable frameworks for these assessments are lacking. The authors aimed to develop a structured methodology for this quality assurance (QA) process, with a layered equity analysis. The authors developed a classification instrument to identify potentially preventable 72-hour returns with admission (PPRA-72), accounting for directed, unrelated, unanticipated, or disease progression returns. A second review team assessed the instrument reliability. A self-reported race/ethnicity (R/E) and language algorithm was developed to minimize uncategorizable data. Disposition distribution, return rates, and PPRA-72 classifications were analyzed for disparities using Pearson chi-square and Fisher's exact tests. The PPRA-72 rate was 4.8% for 2022 ED return visits requiring admission. Review teams achieved 93% agreement (κ = 0.51) for the binary determination of PPRA-72 vs. nonpreventable returns. There were significant differences between R/E and language in ED dispositions (p < 0.001), with more frequent admissions for the R/E White at the index visit and Other at the 72-hour return visit. Rates of return visits within 72 hours differed significantly by R/E (p < 0.001) but not by language (p = 0.156), with the R/E Black most frequent to have a 72-hour return. There were no differences between R/E (p = 0.446) or language (p = 0.248) in PPRA-72 rates. The initiative led to system improvements through informatics optimizations, triage protocols, provider feedback, and education. The authors developed a review methodology for identifying improvement opportunities across ED 72-hour returns. This QA process enabled the identification of areas of disparity, with the continuous aim to develop next steps in ensuring health equity in care transitions.

Rapid triage and transfer system for patients with proven Covid-19 at emergency department.

COVID-19 is a viral disease notorious for frequent worldwide outbreaks. It is difficult to control, thereby resulting in overload of the healthcare system. A possible solution to prevent overcrowding is rapid triage of patients, which makes it possible to focus care on the high-risk patients and minimize the impact of crowding on patient prognosis. The triage algorithm assessed self-sufficiency, oximetry, systolic blood pressure, and the Glasgow coma scale. Compliance with the triage protocol was defined as fulfillment of all protocol steps, including assignment of the correct level of care. Triage was considered successful if there was no change in the scope of care (e.g., unscheduled hospital admission, transfer to different level of care) or if there was unexpected death within 48 hours. A total of 929 patients were enrolled in the study. Triage criteria were fulfilled in 825 (88.8%) patients. Within 48 hours, unscheduled hospital admission, transfer to different level of care, or unexpected death occurred in 56 (6.0%), 6 (0.6%), and 5 (0.5%) patients, respectively. The risk of unscheduled hospital admission or transfer to different level of care was significantly increased if triage criteria were not fulfilled [13.1% vs. 76.1%, RR 5.8 (3.8-8.3), p < 0.001; 0.5% vs. 5.2%, RR 11.4 (2.3-57.7), p = 0.036, respectively]. The proposed algorithm for triage of patients with proven COVID-19 is a simple, fast, and reliable tool for rapid sorting for outpatient treatment, hospitalization on a standard ward, or assignment to an intensive care unit.

Implementation of a Thrombectomy Stroke Center Triage Program in New York City Emergency Medical Services

Background Due to the increased morbidity and mortality associated with acute cerebral ischemia caused by large vessel occlusions, the New York City (NYC) 9‐1‐1 Emergency Medical Services system implemented the NYC Stroke Triage Protocol with the intention of improving access to endovascular therapy for patients with suspected severe stroke. Methods Successful collaboration between multiple stakeholders enabled the NYC region to develop and implement a new stroke system of care for patients treated by Emergency Medical Services. Descriptive statistics including medians (interquartile range) and proportions were used as appropriate. Continuous data were compared using Mann–Whitney tests for medians and categorical data were compared by using Pearson chi‐square test. Results Between April 1, 2019 and March 31, 2022, 1337 (83.5%) patients directly transported under the NYC Stroke Triage Protocol by the NYC 9‐1‐1 Emergency Medical Services system to a Thrombectomy Stroke Center had a stroke diagnosis. Patients transported to a more distant Thrombectomy Stroke Center traveled an average of 5.7 minutes longer compared with those who were delivered to the closest Primary Stroke Center but the overall time between first patient contact and first pass at a Thrombectomy Stroke Center was an estimated 98.2 minutes shorter. Approximately 24% of directly transported patients with a stroke diagnosis underwent a thrombectomy. Conclusions The NYC Stroke Triage Protocol increased access to advanced interventional stroke care for eligible patients by decreasing time to treatment through prehospital identification of patients with severe stroke and directly transporting them to a stroke center capable of providing endovascular therapy.

Repeatability, Reproducibility, and Diagnostic Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage Using the Simple Triage and Rapid Treatment (START) Protocol

Abstract Objective The release of ChatGPT in November 2022 drastically lowered the barrier to artificial intelligence with an intuitive web-based interface to a large language model. This study addressed the research problem: “Can ChatGPT adequately triage simulated disaster patients using the Simple Triage and Rapid Treatment (START) tool?” Methods Five trained disaster medicine physicians developed nine prompts. A Python script queried ChatGPT Version 4 with each prompt combined with 391 validated patient vignettes. Ten repetitions of each combination were performed: 35190 simulated triages. Results A valid START score was returned In 35102 queries (99.7%). There was considerable variability in the results. Repeatability (use of the same prompt repeatedly) was responsible for 14.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.1% of overall variation. Accuracy of ChatGPT for START was 61.4% with a 5.0% under-triage rate and a 33.6% over-triage rate. Accuracy varied by prompt between 45.8% and 68.6%. Conclusions This study suggests that the current ChatGPT large language model is not sufficient for triage of simulated patients using START due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may provide false information.

Investigating ethical tradeoffs in crisis standards of care through simulation of ventilator allocation protocols.

Arguments over the appropriate Crisis Standards of Care (CSC) for public health emergencies often assume that there is a tradeoff between saving the most lives, saving the most life-years, and preventing racial disparities. However, these assumptions have rarely been explored empirically. To quantitatively characterize possible ethical tradeoffs, we aimed to simulate the implementation of five proposed CSC protocols for rationing ventilators in the context of the COVID-19 pandemic. A Monte Carlo simulation was used to estimate the number of lives saved and life-years saved by implementing clinical acuity-, comorbidity- and age-based CSC protocols under different shortage conditions. This model was populated with patient data from 3707 adult admissions requiring ventilator support in a New York hospital system between April 2020 and May 2021. To estimate lives and life-years saved by each protocol, we determined survival to discharge and estimated remaining life expectancy for each admission. The simulation demonstrated stronger performance for age-sensitive protocols. For a capacity of 1 bed per 2 patients, ranking by age bands saves approximately 29 lives and 3400 life-years per thousand patients. Proposed protocols from New York and Maryland which allocated without considering age saved the fewest lives (~13.2 and 8.5 lives) and life-years (~416 and 420 years). Unlike other protocols, the New York and Maryland algorithms did not generate significant disparities in lives saved and life-years saved between White non-Hispanic, Black non-Hispanic, and Hispanic sub-populations. For all protocols, we observed a positive correlation between lives saved and life-years saved, but also between lives saved overall and inequality in the number of lives saved in different race and ethnicity sub-populations. While there is significant variance in the number of lives saved and life-years saved, we did not find a tradeoff between saving the most lives and saving the most life-years. Moreover, concerns about racial discrimination in triage protocols require thinking carefully about the tradeoff between enforcing equality of survival rates and maximizing the lives saved in each sub-population.

A comparative performance analysis of live clinical triage using rules-based triage protocols versus artificial intelligence-based automated virtual triage

Objective: Compare the triage care referral accuracy of artificial intelligence (AI) based virtual triage (VT) to rules-based triage protocols (RBTP) live telephonic triage.Methods: Clinical vignettes were selected for a comparison of care referral accuracy of RBTPs with a widely utilized AI-based VT solution. Vignettes (149) included patient complaints, expected triage and urgency assessment. Triage levels were mapped to three triage categories (urgent care, non-emergent care and self-care). Each vignette was evaluated/completed using AI-based VT and RBTP triage modalities by a total of four physicians in series, with independent assessment for errors and inconsistencies. Triage assessment precision was analyzed by matching the expected triage assessment, sensitivity and F1 scores (harmonic mean of precision and recall).Results: Both modalities achieved &gt; 70% triage accuracy, and safety performance was identical at 91%. AI-based VT was more accurate in care referral for emergency and non-emergency care and overtriaged to emergency care 50% less frequently than RBTP, but was less accurate than RBTP in self-care vignettes (neither statistically significant). Both modalities demonstrated decreased sensitivity as care urgency/acuity decreased, more pronounced in AI-based VT than RBTP. AI-based VT captured four times as much information and data as RBTP.Conclusions: AI-based VT and RBTP were comparable in care referral accuracy and disposition safety. While AI-based VT provides accurate and safe triage recommendations at a lower total cost, care organizations should assess how AI-based VT compares to a live clinical triage capability with respect to organizational priorities, budgetary considerations, characteristics of the patient/member population served, and the existing technological environment.

Implementation of a Triage Protocol Outside the Hospital Setting for Timely Referral During the COVID-19 Second Wave in Chennai, India.

India experienced a surge in COVID-19 cases during the second wave in the period of April-June 2021. A rapid rise in cases posed challenges to triaging patients in hospital settings. Chennai, the fourth largest metropolitan city in India with an 8 million population, reported 7564 COVID-19 cases on May 12, 2021, nearly 3 times higher than the number of cases in the peak of COVID-19 in 2020. A sudden surge of cases overwhelmed the health system. We had established standalone triage centers outside the hospitals in the first wave, which catered to up to 2500 patients per day. In addition, we implemented a home-based triage protocol from May 26, 2021, to evaluate patients with COVID-19 who were aged ≤45 years without comorbidities. Among the 27,816 reported cases between May 26 and June 24, 2021, a total of 16,022 (57.6%) were aged ≤45 years without comorbidities. The field teams triaged 15,334 (55.1%), and 10,917 (39.2%) patients were evaluated at triage centers. Among 27,816 cases, 19,219 (69.1%) were advised to self-isolate at home, 3290 (11.8%) were admitted to COVID-19 care centers, and 1714 (6.2%) were admitted to hospitals. Only 3513 (12.7%) patients opted for the facility of their choice. We implemented a scalable triage strategy covering nearly 90% of the patients in a large metropolitan city during the COVID-19 surge. The process enabled early referral of high-risk patients and ensured evidence-informed treatment. We believe that the out-of-hospital triage strategy can be rapidly implemented in low-resource settings.

Large‐Vessel Occlusion Stroke Knowledge and Training for Stroke Severity Assessment Among Emergency Medical Services Personnel in the United States

BACKGROUND Prehospital identification of large‐vessel occlusion (LVO) stroke facilitates the development of a regional triage protocol that could lead to an improvement in intrahospital and interhospital workflows. This requires stroke education of emergency medical services (EMS) personnel to improve stroke recognition, severity assessment, and prenotification. However, the current state of EMS personnel's knowledge of LVO stroke, their training for stroke severity assessment, and their preferences for educational methods are unknown. We conducted a nationwide EMS survey across the United States to glean insights that can inform and customize future EMS educational efforts. METHODS The Society of Vascular and Interventional Neurology, in collaboration with EMS World , created an online questionnaire for EMS personnel. It included 12 multiple‐choice and free‐response questions designed to test participants’ clinical knowledge of LVO, knowledge of stroke center certification levels, prior LVO educational experiences, preferences for educational content delivery, and perspectives on prehospital hurdles to stroke care. All subscribers of EMS World received a survey link via email. RESULTS Of the 38 486 subscribers of EMS World , the survey email was opened by 1830, of whom 1107 completed the survey across all states in the United States, with a response rate of 2.9%. Most of the respondents identified themselves as paramedics/emergency medical technicians (91%). The number of patients with stroke that survey participants transported in the past year was &lt;10 for 618 (56%). Only 285 (26%) participants answered both LVO knowledge questions correctly, and only 128 (12%) respondents correctly identified all types of stroke centers with thrombectomy capability. A total of 362 EMS personnel (33%) denied receiving training to perform LVO severity assessment. Respondents who received training to perform an LVO scale demonstrated nearly twice the prevalence of LVO knowledge (30.6% versus 15.7%; prevalence ratio, 1.94 [95% CI, 1.50–2.53]) than respondents who did not receive training. The top hurdle to prehospital LVO education was identified as the lack of standardized LVO training by 535 (48%) respondents. CONCLUSIONS EMS providers in the United States reported inadequate LVO training and demonstrated gaps in knowledge of LVO, stroke severity scales, and stroke center levels. Systematic efforts to enhance and standardize the educational content and delivery of LVO education are needed.

A qualitative exploration of the facility-based trauma care for Road Traffic Crash patients in Bangladesh: When only numbers do not tell the whole story

ObjectiveBangladesh is currently undergoing an epidemic of road traffic crashes (RTCs). In addition to morbidity and mortality, the economic loss from RTC as per cent of gross domestic product is...

On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry

BackgroundProviding optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient’s condition and deciding on transport destination. Data-driven On Scene Injury Severity Prediction (OSISP) models for motor vehicle crashes have shown potential for providing real-time decision support. The objective of this study is therefore to evaluate if an Artificial Intelligence (AI) based clinical decision support system can identify severely injured trauma patients in the prehospital setting.MethodsThe Swedish Trauma Registry was used to train and validate five models – Logistic Regression, Random Forest, XGBoost, Support Vector Machine and Artificial Neural Network – in a stratified 10-fold cross validation setting and hold-out analysis. The models performed binary classification of the New Injury Severity Score and were evaluated using accuracy metrics, area under the receiver operating characteristic curve (AUC) and Precision-Recall curve (AUCPR), and under- and overtriage rates.ResultsThere were 75,602 registrations between 2013–2020 and 47,357 (62.6%) remained after eligibility criteria were applied. Models were based on 21 predictors, including injury location. From the clinical outcome, about 40% of patients were undertriaged and 46% were overtriaged. Models demonstrated potential for improved triaging and yielded AUC between 0.80–0.89 and AUCPR between 0.43–0.62.ConclusionsAI based OSISP models have potential to provide support during assessment of injury severity. The findings may be used for developing tools to complement field triage protocols, with potential to improve prehospital trauma care and thereby reduce morbidity and mortality for a large patient population.

Is It Possible to Allocate Life? Triage, Ageism, and Narrative Identity

Triage protocols can exclude older patients for the sake of effectiveness and this may be defended as the older have already had their fair share of life, which can mean fair amounts or complete lives. Nevertheless, if life is considered as a narrative, mentioning amounts might be nonsensical. Narratives have a quality of unity; so, life events are fragments whose meanings are dependent on the meaning of the whole. Thus, time units do not represent a reliable measure of the content of life. In addition, people's experience is different from the external flow of time, making its significance relative. Moreover, to compare the completeness of lives qualitatively, it is necessary to have a common cultural understanding, which is improbable to agree on in a modern society. Therefore, basic assumptions of the accounts that refer to fair shares of lives are mistaken, and these accounts do not support age-based rationing.

Moral Distress, Conscientious Practice, and the Endurance of Ethics in Health Care through Times of Crisis and Calm.

When health professionals experience moral distress during routine clinical practice, they are challenged to maintain integrity through conscientious practice guided by ethical principles and virtues that promote the dignity of all human beings who need care. Their integrity also needs preservation during a crisis like the COVID-19 pandemic, especially when faced with triage protocols that allocate scarce resources. Although a crisis may change our ability to provide life-saving treatment to all who need it, a crisis should not change the ethical values that should always be guiding clinical care. Enduring ethical commitments should encourage clinicians to base treatment decisions on the medical needs of individual patients. This approach contrasts with utilitarian attempts to maximize selected aggregate outcomes by using scoring systems that use short-term and possibly long-term prognostic estimates to discriminate between patients and thereby treat them unequally in terms of their eligibility for life-sustaining treatment. During times of crisis and calm, moral communication allows clinicians to exercise moral agency and advocate for their individual patients, thereby demonstrating conscientious practice and resisting influences that may contribute to compartmentalization, moral injury, and burnout.

Evaluation of the effectiveness of non-contact respiration rate detection for post-crash care application

The ability of emergency medical services (EMS) personnel to understand the mortality and morbidity risks associated with different injuries is critical for effective motor vehicle collision (MVC) post-crash care. Interwoven with this ability is the practice of accurate and efficient patient triage. Triage allows EMS to gain a better understanding of the physiological and physical status of a patient and their injuries, with the intention of identifying additional resources needed, potential treatment options, and the most appropriate care destination. An interactive, in-vehicle triage system, based on the Simple Triage and Rapid Treatment protocol, under development could lead to improved MVC triage accuracy and efficiency. As a component of that system, this study examines the effectiveness of using non-contact respiration rate detection technologies integrated into a vehicle cabin. The selected technologies included ultrasonic respiration detection, thermal respiration detection, and pressurebased detection which were all compared against data collected from a respiration belt. All technologies were integrated into a 2015 Ford Taurus. Testing took place inside the running vehicle and considered occupant weight, cabin temperature, occupant clothing weight, and environmental sound as experimental factors. Respiration rate was then calculated using a 30-second sliding window where the means and standard deviations were used to compare the accuracy and precision of the sensor systems across the experimental factors. The sensor type, temperature level, and sound level main effects significantly influenced the mean respiration rate. For the standard deviation of respiration rate, significant effects were found for the sensor type, sound level, and clothing weight main effects. Among the tested sensor systems, the pressure sensor was found to best match the accuracy and precision of the respiration belt. Future work should address limitations in the approach used for this proof-of-concept work.

Knowledge, Awareness, and Understanding of Pediatric Triage Among Nursing Officers in India: A Multicenter Study.

Triage is crucial in patient screening within emergency departments (EDs) worldwide. It is one of the essential and standard medical practices in many developed countries. However, in India, there is a need for improvement in triage utilization, as it is predominantly performed by resident doctors or medical officers, leading to an uneven distribution of clinical skills among healthcare providers (HCPs). A comprehensive analysis incorporating literature review and data collection revealed that while mandatory screening is conducted in most Indian EDs, the formal implementation of standardized triage protocols remains limited. Like in developed countries, registered nurses or nursing officers (NOs) can be effectively trained and directed to play the role of dedicated triage personnel in EDs of most of the healthcare facilities in India. This study aimed to examine the current state of triage utilization and its impact on the distribution of responsibilities among HCPs in Indian EDs. Through this online survey, the investigatorsassessed the knowledge and practical understanding of clinical triaging among NOs, working at various hospitals nationwide. The participants included 5,029 NOs working in various parts of India, predominantly nursing graduates (82.52%), the majority being employed in government healthcare settings (84.01%)and most having over five years of cumulative working experience in the ED (70.77%). Nurses showed inadequate knowledge and awareness about the Pediatric Assessment Triangle (PAT) used for quick initial evaluation (62.18%amongall participants). Concerning the complete triage process applicable, especially in pediatric ED settings, they had even less satisfactory knowledge and understanding, e.g., identifying primary (28.27%) and secondary (22.69%) survey components via focused history and examination, properly using temperature assessment (23.32%) and instant blood glucose level assessment (22.95%) in triage, and knowing various types of internationally accepted triage systems for ED-based health facilities such as the Emergency Severity Index (ESI), Canadian Triage and Acuity Scale (CTAS), and Australasian Triage Scale (ATS) (15.87%). ANOVA and post hoc analysis revealed that the intergroup performance of the study participants with maximum correct responses to the knowledge-determining specified subset of the questionnaire depicts the significantly higher role of graduate nursing degree over diploma such as General Nursing and Midwifery (GNM)/Auxiliary Nursing and Midwifery (ANM) qualification, working in government hospital versus private setup, and ED working experience of >5 years over that of <5 years. Of the participants in the study, 50% were not evaluated for cognitive or psychomotor domains during their assessment examinations. The research illuminated a significant disparity in knowledge and proficiency levels among Indian nurses concerning pediatric triage, especially with the ability to effectively apply the PAT for initial patient evaluations, discern components of primary and secondary surveys, and comprehend various triage systems. This study underscores the importance of comprehensive reform in the Indian healthcare system and teaching curriculum by emphasizing clinical triage training and interprofessional collaboration, and establishing guidelines and regulations to ensure consistent and standardized triage practices across all EDs.