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Concept: Triage

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OBJECTIVES: To assess whether the flowcharts and discriminators of the Manchester Triage System (MTS) can be used as indicators of alarming signs of serious febrile illness to predict the risk of hospitalization for febrile children who present at the emergency department (ED). STUDY DESIGN: Observational study, which included 2455 children (<16 years) who came to the ED of a university hospital with fever as their main complaint (May 2007-July 2009). Alarming signs for serious febrile illness were matched with MTS flowcharts and discriminators. At triage, the percentage of alarming signs positive was calculated. The diagnostic ability of the percentage of alarming signs positive to identify children at risk of hospitalization was assessed by calculating positive and negative likelihood ratios. RESULTS: Thirty percent of children had at least 1 alarming sign positive at triage. Twenty-three percent were hospitalized. Positive likelihood ratios of hospitalization were 5.0 (95% CI: 3.9-6.5) for children with >20% of alarming signs positive at triage and 12.0 (95% CI: 5.2-27.6) for those with >40% of alarming signs positive. Negative likelihood ratios were 0.8 (95% CI: 0.8-0.8) and 1.0 (95% CI: 0.9-1.0), respectively. CONCLUSIONS: By alternatively using the flowcharts and discriminators of the MTS as alarming signs, rather than urgency classifiers, the MTS can function as a simple, readily available tool to identify febrile children at risk of hospitalization early in the care process. This knowledge may help to improve ED throughput times as well as admission and discharge management at pediatric EDs.

Concepts: Scientific method, Hospital, Fever, 0, Integer, Triage

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Phone triaging patients with suspected malignant pleural mesothelioma (MPM) within the Veterans Healthcare Administration (VHA) system offers a model for rapid, expert guided evaluation for patients with rare and treatable diseases within a national integrated healthcare system. To assess feasibility of national open access telephone triage using evidence-based treatment recommendations for patients with MPM, measure timelines of the triage and referral process and record the impact on “intent to treat” for patients using our service.

Concepts: Health economics, Medicine, Healthcare, Cancer, Evidence-based medicine, Mesothelioma, Telephone, Triage

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ABSTRACTObjectives:To identify factors known prior to triage that might have predicted hospital admission for patients triaged by the Canadian Triage Acuity Scale (CTAS) as level 5 (CTAS 5, nonurgent) and to determine whether inappropriate triage occurred in the admitted CTAS 5 patients.Methods:We reviewed the triage records of patients triaged as CTAS 5 at the emergency departments (EDs) of three tertiary care hospitals between April 2002 and September 2009. Two triage nurses unaware of the study objective independently assigned the CTAS level in 20% of randomly selected CTAS 5 patients who were admitted. We used the kappa statistic (κ) to measure the agreement among the raters in CTAS level between the assessment of the research nurses and the original triage assessment and regression analysis to identify independent predictors of admission to hospital.Results:Of the 37,416 CTAS 5 patients included in this study, 587 (1.6%) were admitted. Agreement on CTAS assignment in CTAS 5 patients who were admitted was κ -0.9, (95% confidence interval [CI] -0.96 to -0.84). Age over 65 (odds ratio [OR] 5.46, 95% CI 4.57 to 6.53) and arrival by ambulance (OR 7.42, 95% CI 6.15 to 8.96) predicted hospital admission in CTAS 5 patients.Conclusions:Most of the CTAS 5 patients who were subsequently admitted to hospital may have qualified for a higher triage category. Two potential modifiers, age over 65 and arrival by ambulance, may have improved the prediction of admission in CTAS 5 patients. However, the consistent application of existing CTAS criteria may also be important to prevent incorrect triage.

Concepts: Regression analysis, Statistics, Hospital, Prediction, Prediction interval, Tertiary referral hospital, Emergency department, Triage

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BACKGROUND:: Nurses lack a standard tool to stratify the risk of chest pain in triage patients. The type of risk stratification may correspond to the type of acuity rating of the 5-level triage scale adopted by nurses for chest pain triage, based on the Front Door Score, simplified from the Thrombolysis in Myocardial Infarction Risk Score for unstable angina or non-ST-segment elevation myocardial infarction. AIM:: This study aimed to evaluate the ability of using the Front Door Score to enhance the accuracy of emergency nurse triage decisions for patients who present with chest pain. DESIGN:: A cross-sectional descriptive design was used. METHODS:: A convenience sample of 200 subjects was obtained from an emergency department in Hong Kong. Data were collected via a questionnaire. The final physician diagnoses were used as the gold standard in justifying the appropriateness of the risk stratification of chest pain. The agreement rates among the final physician diagnoses, Thrombolysis in Myocardial Infarction Risk Score for unstable angina or non-ST-segment elevation myocardial infarction, nurses using the triage scale, and nurses using the Front Door Score were computed using κ statistics. RESULTS:: A significant substantial agreement was observed between the final physician diagnoses and nurses using the Front Door Score. In comparison, the agreement between the final physician diagnoses and nurses using the triage scale was poor. CONCLUSION:: The chest pain triage reliability of nurses using the Front Door Score was found to be much more credible than that of nurses using the triage scale. A suggested conversion of the scales of Front Door Score was established. CLINICAL IMPLICATIONS:: The Front Door Score should be considered as a standard tool to enhance the chest pain triage accuracy of emergency nurse triage decisions.

Concepts: Myocardial infarction, Atherosclerosis, Angina pectoris, Hospital, Acute coronary syndrome, Triage

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The review aims to find the best available evidence on the effectiveness of the Manchester Triage System on time to treatment in the emergency department.

Concepts: Triage

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Standards for emergency department (ED) triage in the United States rely heavily on subjective assessment and are limited in their ability to risk-stratify patients. This study seeks to evaluate an electronic triage system (e-triage) based on machine learning that predicts likelihood of acute outcomes enabling improved patient differentiation.

Concepts: Hospital, United States, Poverty in the United States, U.S. state, Spanish language, Learning, Triage, United States Department of Education

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To investigate the appropriateness of cases presenting to the emergency department (ED) following ambulance-based secondary telephone triage.

Concepts: Cohort study, Cohort, Retrospective, Ambulance, Paramedic, Dublin, Triage, Emergency

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We aimed to evaluate the clinical usefulness of qSOFA as a risk stratification tool for patients admitted with infection compared to traditional SIRS criteria or our triage system; the Rapid Emergency Triage and Treatment System (RETTS).

Concepts: Inflammation, Systemic inflammatory response syndrome, Sepsis, Triage

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Patients presenting to the emergency department (ED) currently face inacceptable delays in initial treatment, and long, costly hospital stays due to suboptimal initial triage and site-of-care decisions. Accurate ED triage should focus not only on initial treatment priority, but also on prediction of medical risk and nursing needs to improve site-of-care decisions and to simplify early discharge management. Different triage scores have been proposed, such as the Manchester triage system (MTS). Yet, these scores focus only on treatment priority, have suboptimal performance and lack validation in the Swiss health care system. Because the MTS will be introduced into clinical routine at the Kantonsspital Aarau, we propose a large prospective cohort study to optimize initial patient triage. Specifically, the aim of this trial is to derive a three-part triage algorithm to better predict (a) treatment priority; (b) medical risk and thus need for in-hospital treatment; © post-acute care needs of patients at the most proximal time point of ED admission.Methods/designProspective, observational, multicenter, multi-national cohort study. We will include all consecutive medical patients seeking ED care into this observational registry. There will be no exclusions except for non-adult and non-medical patients. Vital signs will be recorded and left over blood samples will be stored for later batch analysis of blood markers. Upon ED admission, the post-acute care discharge score (PACD) will be recorded. Attending ED physicians will adjudicate triage priority based on all available results at the time of ED discharge to the medical ward. Patients will be reassessed daily during the hospital course for medical stability and readiness for discharge from the nurses and if involved social workers perspective. To assess outcomes, data from electronic medical records will be used and all patients will be contacted 30 days after hospital admission to assess vital and functional status, re-hospitalization, satisfaction with care and quality of life measures.We aim to include between 5000 and 7000 patients over one year of recruitment to derive the three-part triage algorithm. The respective main endpoints were defined as (a) initial triage priority (high vs. low priority) adjudicated by the attending ED physician at ED discharge, (b) adverse 30 day outcome (death or intensive care unit admission) within 30 days following ED admission to assess patients risk and thus need for in-hospital treatment and © post acute care needs after hospital discharge, defined as transfer of patients to a post-acute care institution, for early recognition and planning of post-acute care needs. Other outcomes are time to first physician contact, time to initiation of adequate medical therapy, time to social worker involvement, length of hospital stay, reasons for discharge delays, patient’s satisfaction with care, overall hospital costs and patients care needs after returning home.

Concepts: Health care, Medicine, Clinical trial, Patient, Hospital, Physician, Illness, Triage