Quality improvement initiative: improving obstetric triaging practices in a rural maternal hospital in central India.

Triaging of obstetric patients by emergency care providers is paramount. It helps provide appropriate and timely management to prevent further injury and complications. Standardised trauma acuity scales have limited applicability in obstetric triage. Specific obstetric triage index tools improve maternal and neonatal outcomes but remain underused. The aim was to introduce a validity-tested obstetric triage tool to improve the percentage of correctly triaged patients (correctly colour-coded in accordance with triage index tool and attended to within the stipulated time interval mandated by the tool) from the baseline of 49% to more than 90% through a quality improvement (QI) process.A team of nurses, obstetricians and postgraduates did a root cause analysis to identify the possible reasons for incorrect triaging of obstetric patients using process flow mapping and fish bone analysis. Various change ideas were tested through sequential Plan-Do-Study-Act (PDSA) cycles to address issues identified.The interventions included introduction and application of an obstetric triage index tool, training of triage nurses and residents. We implemented these interventions in eight PDSA cycles and observed outcomes by using run charts. A set of process, output and outcome indicators were used to track if changes made were leading to improvement.Proportion of correctly triaged women increased from the baseline of 49% to more than 95% over a period of 8 months from February to September 2020, and the results have been sustained in the last PDSA cycle, and the triage system is still sustained with similar results. The median triage waiting time reduced from the baseline of 40 min to less than 10 min. There was reduction in complications attributable to improper triaging such as preterm delivery, prolonged intensive care unit stay and overall morbidity. It can be thus concluded that a QI approach improved obstetric triaging in a rural maternity hospital in India.

The Effects of Displaying the Time Targets of the Manchester Triage System to Emergency Department Personnel: Prospective Crossover Study.

BACKGROUND: The use of triage systems such as the Manchester Triage System (MTS) is a standard procedure to determine the sequence of treatment in emergency departments (EDs). When using the MTS, time targets for treatment are determined. These are commonly displayed in the ED information system (EDIS) to ED staff. Using measurements as targets has been associated with a decline in meeting those targets. OBJECTIVE: This study investigated the impact of displaying time targets for treatment to physicians on processing times in the ED. METHODS: We analyzed the effects of displaying time targets to ED staff on waiting times in a prospective crossover study, during the introduction of a new EDIS in a large regional hospital in Germany. The old information system version used a module that showed the time target determined by the MTS, while the new system version used a priority list instead. Evaluation was based on 35,167 routinely collected electronic health records from the preintervention period and 10,655 records from the postintervention period. Electronic health records were extracted from the EDIS, and data were analyzed using descriptive statistics and generalized additive models. We evaluated the effects of the intervention on waiting times and the odds of achieving timely treatment according to the time targets set by the MTS. RESULTS: The average ED length of stay and waiting times increased when the EDIS that did not display time targets was used (average time from admission to treatment: preintervention phase=median 15, IQR 6-39 min; postintervention phase=median 11, IQR 5-23 min). However, severe cases with high acuity (as indicated by the triage score) benefited from lower waiting times (0.15 times as high as in the preintervention period for MTS1, only 0.49 as high for MTS2). Furthermore, these patients were less likely to receive delayed treatment, and we observed reduced odds of late treatment when crowding occurred. CONCLUSIONS: Our results suggest that it is beneficial to use a priority list instead of displaying time targets to ED personnel. These time targets may lead to false incentives. Our work highlights that working better is not the same as working faster.

Child acute illness presentation and referrals at primary health clinics in Malawi: a secondary analysis of ASPIRE.

OBJECTIVES: We aimed to assess the prevalence, presentation and referral patterns of children with acute illness attending primary health centres (PHCs) in a low-resource setting. DESIGN, SETTING AND PARTICIPANTS: We conducted a secondary analysis of ASPIRE. Children presenting at eight PHCs in urban Blantyre district in southern Malawi with both recorded clinician and mHealth (non-clinician) triage data were included, and patient records from different data collection points along the patient healthcare seeking pathway were consolidated and analysed. RESULTS: Between April 2017 and September 2018, a total of 204 924 children were triaged, of whom 155 931 had both recorded clinician and mHealth triage data. The most common presenting symptoms at PHCs were fever (0.3%), cough (0.2%) and difficulty breathing (0.2%). The most common signs associated with referral for under-5 children were trauma (26.7%) and temperature (7.4%). The proportion of emergency and priority clinician triage were highest among young infants <2 months (0.2% and 81.4%, respectively). Of the 3004 referrals (1.9%), 1644 successfully reached the referral facility (54.7%). Additionally, 372 children were sent home from PHC who subsequently self-referred to the referral facility (18.7%). CONCLUSIONS: Fever and respiratory symptoms were the most common presenting symptoms, and trauma was the most common reason for referral. Rates of referral were low, and of successful referral were moderate. Self-referrals constituted a substantial proportion of attendance at the referral facility. Reducing gaps in care and addressing dropouts as well as self-referrals along the referral pathway could improve child health outcomes.

Triaging of acutely ill children transported by ambulance. / Hastegradsvurdering av akutt syke barn transportert i ambulanse.

BACKGROUND: The Western Norway Regional Health Authority uses SATS Norge (SATS-N), a modified version of the South African Triage Scale, in all accident and emergency departments (A&E) and ambulance services in the region. The purpose of the study was to examine the validity of the paediatric component of SATS-N used for children transported to hospital by ambulance for emergency medical assistance. MATERIAL AND METHOD: We conducted a retrospective observational study which included all children in the age group 0-14 years, admitted by ambulance to A&E at Haukeland University Hospital for emergency medical assistance in the period from January to June 2020. The five triage levels in SATS-N were dichotomised to high triage level (the two highest triage categories) or low triage level (the three lowest triage categories). Sensitivity was calculated as the proportion of patients assigned to the high triage level among those who were directly transferred from A&E to a high dependency unit, and specificity as the proportion of patients assigned to the low triage level among those who were not directly transferred to a high dependency unit. RESULTS: Of a total of 303 patient transports, 270 (89 %) were triaged in the ambulance and 243 (80 %) in the A&E. In the pre-hospital and A&E settings, the sensitivity of SATS-N was 96 % and 88 %, and specificity was 46 % and 60 %, respectively. INTERPRETATION: For children admitted to hospital by ambulance, SATS-N had high sensitivity and low specificity for identifying patients who needed to be directly transferred from A&E to a high dependency unit.

The impact of emergency department crowding on admission decisions and patient outcomes.

OBJECTIVES: The objective of this study is to evaluate the impact of emergency department (ED) crowding levels on patient admission decisions and outcomes. METHODS: A retrospective study was performed based on 2-year electronic health record data from a tertiary care hospital ED in Alberta, Canada. Using modified Poisson regression models, we studied the association of patient admission decisions and 7-day revisit probability with ED crowding levels measured by: 1) the total number of patients waiting and in treatment (ED census), 2) the number of boarding patients (boarder census), and 3) the average physician workload, calculated by the total number of ED patients divided by the number of physicians on duty (physician workload census). The control variables included age, gender, treatment area, triage level, and chief complaint. A subgroup analysis was performed to evaluate the heterogeneous effects among patients of different acuity levels. RESULTS: Our dataset included 141,035 patient visit records after cleaning from August 2013 to July 2015. The patient admission probability was positively correlated with ED census (relative risk [RR] = 1.006, 95% confidence interval [CI] = 1.005 to 1.007) and physician workload census (RR = 1.029, 95% CI = 1.027 to 1.032), but inversely correlated with boarder census (RR = 0.991, 95% CI = 0.989 to 0.993). We further found that the 7-day revisit probability of discharged patients was positively associated with boarder census (RR = 1.009, 95% CI = 1.004 to 1.014). CONCLUSIONS: Patient admission probability was found to be directly associated with ED census and physician workload census, but inversely associated with the boarder census. The effects of boarder census and physician workload census were stronger for patients of triage levels 3-5. Our results suggested that (i) insufficient physician staffing may lead to unnecessary patient admissions; (ii) too many boarding patients in ED leads to an increase in unsafe discharges, and as a result, an increase in 7-day revisit probability.

Pediatric Mild Traumatic Brain Injury: Who Can Be Managed at a Non-pediatric Trauma Center Hospital? A Systematic Review of the Literature.

BACKGROUND: Pediatric traumatic brain injury (TBI) affects about 475,000 children in the United States annually. Studies from the 1990s showed worse mortality in pediatric TBI patients not transferred to a pediatric trauma center (PTC), but did not examine mild pediatric TBI. Evidence-based guidelines used to identify children with clinically insignificant TBI who do not require head CT were developed by the Pediatric Emergency Care Applied Research Network (PECARN). However, which patients can be safely observed at a non-PTC is not directly addressed. METHODS: A systematic review of the literature was conducted, focusing on management of pediatric TBI and transfer decisions from 1990 to 2020. RESULTS: Pediatric TBI patients make up a great majority of preventable transfers and admissions, and comprise a significant portion of avoidable costs to the health care system. Majority of mild TBI patients admitted to a PTC following transfer do not require ICU care, surgical intervention, or additional imaging. Studies have shown that as high as 83% of mild pediatric TBI patients are discharged within 24 hrs. CONCLUSIONS: An evidence-based clinical practice algorithm was derived through synthesis of the data reviewed to guide transfer decision. The papers discussed in our systematic review largely concluded that transfer and admission was unnecessary and costly in pediatric patients with mild TBI who met the following criteria: blunt, no concern for NAT, low risk on PECARN assessment, or intermediate risk on PECARN with negative imaging or imaging with either isolated, nondisplaced skull fractures without ICH and/or EDH, or SDH <0.3 cm with no midline shift.

Analysis of Risk Factors of Hospital Emergency Nursing Based on Comprehensive Nursing Methods.

In order to improve the comprehensive nursing effect of the hospital emergency treatment, this paper analyzes the process of the hospital emergency treatment. In addition, this paper combines the possible risks to analyze the risk factors of the comprehensive nursing in the hospital emergency treatment and builds an intelligent analysis model based on the actual situation of the hospital emergency treatment. At the same time, this paper conducts a systematic survey of emergency services and gives the composition and structure of the system. In addition, this paper divides the business required by the system into modules, including registration module, doctor workstation, nurse workstation, query statistics module, decision-making module, and maintenance module. Finally, this paper suggests that in the process of the clinical triage, more ideas for improving the existing evaluation model should be proposed, and experience should be transformed into advantages, so as to improve emergency triage skills; establish an objective, quantitative, and scientific concept of emergency classification and triage; and fully realize scientific triage and precise triage.

Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.

Importance: Undertriaging patients who are at increased risk for postoperative complications after surgical procedures to low-acuity hospital wards (ie, floors) rather than highly vigilant intensive care units (ICUs) may be associated with risk of unrecognized decompensation and worse patient outcomes, but evidence for these associations is lacking. Objective: To test the hypothesis that postoperative undertriage is associated with increased mortality and morbidity compared with risk-matched ICU admission. Design, Setting, and Participants: This longitudinal cross-sectional study was conducted using data from the University of Florida Integrated Data Repository on admissions to a university hospital. Included patients were individuals aged 18 years or older who were admitted after a surgical procedure from June 1, 2014, to August 20, 2020. Data were analyzed from April through August 2021. Exposures: Ward admissions were considered undertriaged if their estimated risk for hospital mortality or prolonged ICU stay (ie, ≥48 hours) was in the top quartile among all inpatient surgical procedures according to a validated machine-learning model using preoperative and intraoperative electronic health record features available at surgical procedure end time. A nearest neighbors algorithm was used to identify a risk-matched control group of ICU admissions. Main Outcomes and Measures: The primary outcomes of hospital mortality and morbidity were compared among appropriately triaged ward admissions, undertriaged wards admissions, and a risk-matched control group of ICU admissions. Results: Among 12 348 postoperative ward admissions, 11 042 admissions (89.4%) were appropriately triaged (5927 [53.7%] women; median [IQR] age, 59 [44-70] years) and 1306 admissions (10.6%) were undertriaged and matched with a control group of 2452 ICU admissions. The undertriaged group, compared with the control group, had increased median [IQR] age (64 [54-74] years vs 62 [50-73] years; P = .001) and increased proportions of women (649 [49.7%] women vs 1080 [44.0%] women; P < .001) and admitted patients with do not resuscitate orders before first surgical procedure (53 admissions [4.1%] vs 27 admissions [1.1%]); P < .001); 207 admissions that were undertriaged (15.8%) had subsequent ICU admission. In the validation cohort, hospital mortality and prolonged ICU stay estimations had areas under the receiver operating characteristic curve of 0.92 (95% CI, 0.91-0.93) and 0.92 (95% CI, 0.92-0.92), respectively. The undertriaged group, compared with the control group, had similar incidence of prolonged mechanical ventilation (32 admissions [2.5%] vs 53 admissions [2.2%]; P = .60), decreased median (IQR) total costs for admission ($26 900 [$18 400-$42 300] vs $32 700 [$22 700-$48 500]; P < .001), increased median (IQR) hospital length of stay (8.1 [5.1-13.6] days vs 6.0 [3.3-9.3] days, P < .001), and increased incidence of hospital mortality (19 admissions [1.5%] vs 17 admissions [0.7%]; P = .04), discharge to hospice (23 admissions [1.8%] vs 14 admissions [0.6%]; P < .001), unplanned intubation (45 admissions [3.4%] vs 49 admissions [2.0%]; P = .01), and acute kidney injury (341 admissions [26.1%] vs 477 admissions [19.5%]; P < .001). Conclusions and Relevance: This study found that admitted patients at increased risk for postoperative complications who were undertriaged to hospital wards had increased mortality and morbidity compared with a risk-matched control group of admissions to ICUs. Postoperative undertriage was identifiable using automated preoperative and intraoperative data as features in real-time machine-learning models.

Pediatric age-adjusted shock index as a tool for predicting outcomes in children with or without traumatic brain injury.

BACKGROUND: The pediatric age-adjusted shock index (SIPA) accurately identifies severely injured children following trauma without accounting for neurological status. Understanding how the presence of traumatic brain injury (TBI) affects the generalizability of SIPA as a bedside triage tool is important given high rates of TBI in the pediatric trauma population. We hypothesized that SIPA combined with TBI (SIPAB+) would more accurately identify severely injured children. METHODS: Patients (1-18 years old) in the American College of Surgeons Pediatric Trauma Quality Improvement Program database (2014-2017) with an elevated SIPA upon arrival to a pediatric trauma center were included. Pediatric age-adjusted shock index combined with TBI was defined as elevated SIPA with Glasgow Coma Scale score of ≤8. Pediatric age-adjusted shock index without TBI (SIPAB-) was defined as elevated SIPA with Glasgow Coma Scale score of >9. Patients were stratified into SIPAB+ and SIPAB-. A subanalysis of patients with isolated brain injury and those with brain injury and multisystem injuries was also performed. Data were compared through univariate models and three separate logistic regression models. RESULTS: Overall, 25,068 had an elevated SIPA, with 12.3% classified as SIPAB+ and the remainder SIPAB-. Patients classified as SIPAB+ received more blood transfusions within 4 hours of injury and had higher mortality rates. On logistic regression, SIPAB+ patients had significantly higher odds of early blood transfusion and a combination of both. Mortality and early blood transfusion were also higher in SIPAB+ patients on subanalysis for patients with isolated TBI and those with multisystem injuries. CONCLUSION: The use of SIPAB+ as a bedside triage tool accurately identifies traumatically injured children at high risk for early blood transfusion and/or death while incorporating the presence of neurological injury. This is true for patients with isolated TBI and those with multisystem injury, indicating its utility in predicting outcomes for TBI patients with elevated SIPA regardless of presence of concomitant injuries. Incorporation of this as a triage tool should be considered to better predict resources in this population. LEVEL OF EVIDENCE: Prognostic, level III.

The potential impact of triage protocols on racial disparities in clinical outcomes among COVID-positive patients in a large academic healthcare system.

BACKGROUND: The COVID-19 pandemic has had a devastating impact in the United States, particularly for Black populations, and has heavily burdened the healthcare system. Hospitals have created protocols to allocate limited resources, but there is concern that these protocols will exacerbate disparities. The sequential organ failure assessment (SOFA) score is a tool often used in triage protocols. In these protocols, patients with higher SOFA scores are denied resources based on the assumption that they have worse clinical outcomes. The purpose of this study was to assess whether using SOFA score as a triage tool among COVID-positive patients would exacerbate racial disparities in clinical outcomes. METHODS: We analyzed data from a retrospective cohort of hospitalized COVID-positive patients in the Yale-New Haven Health System. We examined associations between race/ethnicity and peak overall/24-hour SOFA score, in-hospital mortality, and ICU admission. Other predictors of interest were age, sex, primary language, and insurance status. We used one-way ANOVA and chi-square tests to assess differences in SOFA score across racial/ethnic groups and linear and logistic regression to assess differences in clinical outcomes by sociodemographic characteristics. RESULTS: Our final sample included 2,554 patients. Black patients had higher SOFA scores compared to patients of other races. However, Black patients did not have significantly greater in-hospital mortality or ICU admission compared to patients of other races. CONCLUSION: While Black patients in this sample of hospitalized COVID-positive patients had higher SOFA scores compared to patients of other races, this did not translate to higher in-hospital mortality or ICU admission. Results demonstrate that if SOFA score had been used to allocate care, Black COVID patients would have been denied care despite having similar clinical outcomes to white patients. Therefore, using SOFA score to allocate resources has the potential to exacerbate racial inequities by disproportionately denying care to Black patients and should not be used to determine access to care. Healthcare systems must develop and use COVID-19 triage protocols that prioritize equity.

Audit of laboratory sensitivity of human papillomavirus and cytology testing in a cervical screening program.

The globally recommended public health policy for cervical screening is primary human papillomavirus (HPV) screening with cytology triaging of positives. To ensure optimal quality of laboratory services we have conducted regular audits of cervical smears taken before cervical cancer or cancer in situ (CIN3+) within an HPV-based screening program. The central cervical screening laboratory of Stockholm, Sweden, identified cases of CIN3+ who had had a previous cervical screening test up to 3 years before and randomly selected 300 cervical liquid-based cytology (LBC) samples for auditing. HPV testing with Roche Cobas was performed either at screening or with biobanked samples. HPV negative samples and subsequent biopsies were retrieved and tested with modified general primer HPV PCR and, if still HPV-negative, the LBCs and biopsies were whole genome sequenced. The Cobas 4800 detected HPV in 1020/1052 (97.0%) LBC samples taken before CIN3+. Further analyses found HPV in 28 samples, with nine of those containing HPV types not targeted by the Cobas 4800 test. There were 4 specimens (4/1052, 0.4%) where no HPV was detected. By comparison, the proportion of CIN3+ cases that were positive in a previous cytology were 91.6%. We find that the routine HPV screening test had a sensitivity in the real-life screening program of 97.0%. Regular laboratory audits of cervical samples taken before CIN3+ can be readily performed within a real-life screening program and provide assurance that the laboratory of the real-life program has the expected performance.

Ageism in the COVID-19 pandemic: age-based discrimination in triage decisions and beyond.

Ageism has unfortunately become a salient phenomenon during the COVID-19 pandemic. In particular, triage decisions based on age have been hotly discussed. In this article, I first defend that, although there are ethical reasons (founded on the principles of benefit and fairness) to consider the age of patients in triage dilemmas, using age as a categorical exclusion is an unjustifiable ageist practice. Then, I argue that ageism during the pandemic has been fueled by media narratives and unfair assumptions which have led to an ethically problematic group homogenization of the older population. Finally, I conclude that an intersectional perspective can shed light on further controversies on ageism and triage in the post-pandemic future.

Adherence of Burn Outpatient Clinic Referrals to ABA Criteria in a Tertiary Center: Creating Unnecessary Referrals?

Initial assessment and triage of burns are guided by the American Burn Association criteria for referral to a burn center. These criteria are sensitive but not specific and can potentially lead to over-triage and "unnecessary" clinic visits. We are a Level 1 trauma center with burn subspecialty care, and due to the COVID-19 pandemic, referrals to our multidisciplinary outpatient burn clinic required triaging for virtual care appointments. In order to improve the triage process, we retrospectively reviewed our outpatient burn clinic referrals over a 2-year period, 2018 to 2019, for adherence to American Burn Association criteria. We collected data pertaining to patient and burn characteristics, as well as treatment outcome, to characterize referrals not requiring an in-person appointment. Of the 244 patients referred, 73% met the referral criteria, with 45% of these patients being healed at the first visit and 14.6% requiring surgical management. Mean time from injury to first visit was 9.7 days (mode 6), and the average number of visits was 2. Overall, mean burn size was 2%, with the majority of injuries being partial thickness (71%), located in the hand or extremity (77%). There was a fairly equal distribution of contact (36%), flame (21%), and scald (26%) burns. This study highlights the nonspecific nature of the American Burn Association referral criteria. We found that pediatric and hand burns in particular were over-triaged and lead to "unnecessary" appointments. This information is useful to help adjust referral criteria and to guide triaging of appointments with the evolution of telehealth and virtual care.

Access to Urologic Care at Urgent Care Centers.

OBJECTIVE: To evaluate Medicaid insurance access disparities for urologic care at urgent care centers (UCCs) in the United States. MATERIALS AND METHODS: We conducted a cross-sectional study using a "secret shopper" methodology. We sampled 240 UCCs across 8 states. Using a standardized script, researchers posed as a patient with either Medicaid or commercial insurance in the clinical setting of obstructing nephrolithiasis. The primary study endpoint was whether a patient's insurance (Medicaid vs commercial) was accepted. We assessed factors associated with Medicaid acceptance using logistic regression models adjusted for state-level and facility-level characteristics. Additionally, we calculated triage rates, emergency department referral rates, and the ability of a UCC to refer the patient to a specialist. RESULTS: Of 240 UCCs contacted, 239 (99.6%) accepted commercial insurance and 159 (66.2%) accepted Medicaid. UCCs in Medicaid expansion states more frequently accepted patients with Medicaid insurance (74.2% vs 58.3%, respectively, P < .01). On multivariable logistic regression analysis, state Medicaid expansion (OR 1.84, 95% CI 1.04-3.26, P = .04) and affiliation with an institution (OR 2.97, 95% CI 1.59-5.57, P < .01) were independently associated with greater odds of accepting Medicaid. Medicaid-insured patients were significantly less likely to be triaged or referred to the emergency department compared to commercial patients. CONCLUSION: We identified significant disparities in access to UCCs for Medicaid patients presenting with a urologic condition. Given the expanding national role of UCCs, these findings highlight potential sources of insurance disparity in the context of a urologic emergency.

Assessment of mortality and performance status in critically ill cancer patients: A retrospective cohort study.

INTRODUCTION: Given clinicians' frequent concerns about unfavourable outcomes, Intensive Care Unit (ICU) triage decisions in acutely ill cancer patients can be difficult, as clinicians may have doubts about the appropriateness of an ICU admission. To aid to this decision making, we studied the survival and performance status of cancer patients 2 years following an unplanned ICU admission. MATERIALS AND METHODS: This was a retrospective cohort study in a large tertiary referral university hospital in the Netherlands. We categorized all adult patients with an unplanned ICU admission in 2017 into two groups: patients with or without an active malignancy. Descriptive statistics, Pearson's Chi-square tests and the Mann-Whitney U tests were used to evaluate the primary objective 2-year mortality and performance status. A good performance status was defined as ECOG performance status 0 (fully active) or 1 (restricted in physically strenuous activity but ambulatory and able to carry out light work). A multivariable binary logistic regression analysis was used to identify factors associated with 2-year mortality within cancer patients. RESULTS: Of the 1046 unplanned ICU admissions, 125 (12%) patients had cancer. The 2-year mortality in patients with cancer was significantly higher than in patients without cancer (72% and 42.5%, P <0.001). The median performance status at 2 years in cancer patients was 1 (IQR 0-2). Only an ECOG performance status of 2 (OR 8.94; 95% CI 1.21-65.89) was independently associated with 2-year mortality. CONCLUSIONS: In our study, the majority of the survivors have a good performance status 2 years after ICU admission. However, at that point, three-quarter of these cancer patients had died, and mortality in cancer patients was significantly higher than in patients without cancer. ICU admission decisions in acutely ill cancer patients should be based on performance status, severity of illness and long-term prognosis, and this should be communicated in the shared decision making. An ICU admission decision should not solely be based on the presence of a malignancy.

Time consumption for non-conveyed patients within emergency medical services (EMS): A one-year prospective descriptive and comparative study in a region of Sweden.

INTRODUCTION: Over time, ambulance assignments have increased in number both nationally and internationally, and a substantial proportion of patients encountered by emergency medical services are assessed as not being in need of services. Non-conveying patients has become a way for emergency medical services clinicians to meet this increasing workload. It has been shown that ambulances can be made available sooner if patients are non-conveyed, but there is no previous research describing the factors that influence the non-conveyance time. STUDY OBJECTIVE: To describe ambulance time consumption and the factors that influence time consumption when patients are non-conveyed. METHODS: A prospective observational review of 2615 non-conveyed patients' ambulance and hospital medical records was conducted using a consecutive sample. Data were analysed with the Kruskal-Wallis test, Mann-Whitney U test and Spearman's rank correlation (rho) for linear correlations. RESULTS: The mean NC time for all ambulance assignments during the study period was 26 minutes, with a median of 25 minutes. The shortest NC time was 4 minutes, and the longest NC time was 73 minutes. NC times were significantly faster during the day than at night. CONCLUSIONS: This study provides new knowledge about time consumption when patients are non-conveyed. Although there are time differences when patients are non-conveyed, the differences observed in this study are small and not of clinical value. Ambulances will most often become available sooner if patients are non-conveyed. Although patients might be eligible for non-conveyance, policy-makers might have to decide when it is appropriate to non-convey patients from time, resource, patient safety and patient-centred care perspectives.

Making the call in the field: Validating emergency medical services identification of anatomic trauma triage criteria.

BACKGROUND: The National Field Triage Guidelines were created to inform triage decisions by emergency medical services (EMS) providers and include eight anatomic injuries that prompt transportation to a Level I/II trauma center. It is unclear how accurately EMS providers recognize these injuries. Our objective was to compare EMS-identified anatomic triage criteria with International Classification of Diseases-10th revision (ICD-10) coding of these criteria, as well as their association with trauma center need (TCN). METHODS: Scene patients 16 years and older in the NTDB during 2017 were included. National Field Triage Guidelines anatomic criteria were classified based on EMS documentation and ICD-10 diagnosis codes. The primary outcome was TCN, a composite of Injury Severity Score greater than 15, intensive care unit admission, urgent surgery, or emergency department death. Prevalence of anatomic criteria and their association with TCN was compared in EMS-identified versus ICD-10-coded criteria. Diagnostic performance to predict TCN was compared. RESULTS: There were 669,795 patients analyzed. The ICD-10 coding demonstrated a greater prevalence of injury detection. Emergency medical service-identified versus ICD-10-coded anatomic criteria were less sensitive (31% vs. 59%), but more specific (91% vs. 73%) and accurate (71% vs. 68%) for predicting TCN. Emergency medical service providers demonstrated a marked reduction in false positives (9% vs. 27%) but higher rates of false negatives (69% vs. 42%) in predicting TCN from anatomic criteria. Odds of TCN were significantly greater for EMS-identified criteria (adjusted odds ratio, 4.5; 95% confidence interval, 4.46-4.58) versus ICD-10 coding (adjusted odds ratio 3.7; 95% confidence interval, 3.71-3.79). Of EMS-identified injuries, penetrating injury, flail chest, and two or more proximal long bone fractures were associated with greater TCN than ICD-10 coding. CONCLUSION: When evaluating the anatomic criteria, EMS demonstrate greater specificity and accuracy in predicting TCN, as well as reduced false positives compared with ICD-10 coding. Emergency medical services identification is less sensitive for anatomic criteria; however, EMS identify the most clinically significant injuries. Further study is warranted to identify the most clinically important anatomic triage criteria to improve our triage protocols. LEVEL OF EVIDENCE: Care management, Level IV; Prognostic, Level III.