Instituting a Palliative Care Trigger in a Surgical Intensive Care Unit (SICU): Survey Results of SICU Team Members.

Increasing palliative care presence in the intensive care unit (ICU) improves symptom management, increases goals-of-care discussion, and reduces unnecessary procedures in ICU patients. An interdisciplinary study team developed a palliative care trigger program in a 17-bed surgical ICU (SICU). Surgical ICU patients who met 3 triggers (ICU length of stay > 10 days, repeat ICU admission, and metastatic cancer) automatically received a palliative care consult. The purpose of the current study was to survey SICU health care professionals before and after the institution of the palliative care trigger program. Overall, the palliative care trigger program was viewed positively by interdisciplinary team members with increased team communication and decreased resistance for the inclusion of palliative care in the SICU plan of care. The palliative care trigger program was successfully developed and implemented in a SICU and was accepted by the interdisciplinary team members caring for SICU patients. Team member feedback is being used to expand the palliative care trigger program to improve care for SICU patients.

Non-suicidal self-injury at a Canadian paediatric emergency department.

OBJECTIVE: Our primary objective was to determine agreement between non-suicidal self-injury recorded at triage and during subsequent mental health assessment. The secondary objective was to describe patients who reported non-suicidal self-injury. METHODS: This is a health records review of patients aged 12-18 years who had an Emergency Mental Health Triage form on their health record from an ED visit June 1, 2017-May 31, 2018. We excluded patients with diagnoses of autism spectrum disorder or schizophrenia. We abstracted data from the Mental Health Triage form, Emergency Mental Health and Addictions Service Assessment forms and Assessment of Suicide and Risk Inventory. We calculated Cohen's Kappa coefficient, sensitivity, and negative predictive value to describe the extent to which the forms agreed and the performance of triage for identifying non-suicidal self-injury. We compared the cohort who reported non-suicidal self-injury with those who did not, using t-tests, Wilcoxon rank-sum tests, and chi-square tests. RESULTS: We screened 955 ED visits and included 914 ED visits where 558 (58.4%) reported a history of non-suicidal self-injury. There were significantly more females in the group reporting non-suicidal self-injury (82.1%, n = 458) compared to the group not reporting non-suicidal self-injury (45.8%, n = 163). Patients reporting non-suicidal self-injury did so in triage and detailed Mental Health Assessment 64.7% of the time (Cohen's Kappa Coefficient 0.6); triage had sensitivity of 71.5% (95% CI 67.3-75.4) and negative predictive value of 71.2% (95% CI 68.2-74.0). Cutting was the most common method of non-suicidal self-injury (80.3%). CONCLUSION: Screening at triage was moderately effective in identifying non-suicidal self-injury compared to a detailed assessment by a specialised mental health team. More than half of children and adolescents with a mental health-related concern in our ED reported a history of non-suicidal self-injury, most of which were female. This symptom is important for delineating patients' coping strategies.

RéSUMé: OBJECTIFS: Notre objectif principal était de déterminer l'accord entre les blessures non suicidaires enregistrées au triage et lors de l'évaluation subséquente de la santé mentale. L'objectif secondaire était de décrire les patients qui ont déclaré une automutilation non suicidaire. MéTHODES: Il s'agit d'un examen des dossiers de santé de patients âgés de 12 à 18 ans qui avaient un formulaire de triage d'urgence en santé mentale dans leur dossier de santé à la suite d'une visite à l'urgence du 1er juin 2017 au 31 mai 2018. Nous avons exclu les patients présentant un diagnostic de trouble du spectre autistique ou de schizophrénie. Nous avons extrait des données du formulaire de triage en santé mentale, des formulaires d'évaluation des services d'urgence en santé mentale et en toxicomanie et de l'évaluation du suicide et de l'inventaire des risques. Nous avons calculé le coefficient de Kappa de Cohen, la sensibilité et la valeur prédictive négative pour décrire la mesure dans laquelle les formes étaient d'accord et la performance du triage pour identifier l'automutilation non suicidaire. Nous avons comparé la cohorte qui a déclaré une automutilation non suicidaire avec celles qui ne l'ont pas fait, en utilisant des tests t-tests, des tests Wilcoxon rank-sum et des tests chi-carrés. RéSULTATS: Nous avons examiné 955 visites à l'urgence et inclus 914 visites à l'urgence où 558 (58,4 %) ont signalé des antécédents d'automutilation non suicidaire. Il y avait beaucoup plus de femmes dans le groupe déclarant une automutilation non suicidaire (82,1 %, n = 458) que dans le groupe ne déclarant pas une automutilation non suicidaire (45,8 %, n = 163). Les patients ayant déclaré une automutilation non suicidaire l'ont fait dans le cadre du triage et de l'évaluation détaillée de la santé mentale 64,7 % du temps (coefficient de Kappa de Cohen 0,6); le triage avait une sensibilité de 71,5 % (IC à 95 % 67,3­75,4) et une valeur prédictive négative de 71,2 % (IC à 95 % 68,2­74,0). La coupe était la méthode la plus courante d'automutilation non suicidaire (80,3 %). CONCLUSION: Le dépistage au triage a été modérément efficace pour identifier les blessures non suicidaires comparativement à une évaluation détaillée par une équipe spécialisée en santé mentale. Plus de la moitié des enfants et des adolescents ayant un problème de santé mentale à notre DE ont signalé des antécédents d'automutilation non suicidaire, dont la plupart étaient des femmes. Ce symptôme est important pour délimiter les stratégies d'adaptation des patients.

Emergency department visits and hospital admissions for suicidal ideation, self-poisoning and self-harm among adolescents in Canada during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic had profound effects on the mental wellbeing of adolescents. We sought to evaluate pandemic-related changes in health care use for suicidal ideation, self-poisoning and self-harm. METHODS: We obtained data from the Canadian Institute for Health Information on emergency department visits and hospital admissions from April 2015 to March 2022 among adolescents aged 10-18 years in Canada. We calculated the quarterly percentage of emergency department visits and hospital admissions for a composite outcome comprising suicidal ideation, self-poisoning and self-harm relative to all-cause emergency department visits and hospital admissions. We used interrupted time-series methods to compare changes in levels and trends of these outcomes between the prepandemic (Apr. 1, 2015-Mar. 1, 2020) and pandemic (Apr. 1, 2020-Mar. 31, 2022) periods. RESULTS: The average quarterly percentage of emergency department visits for suicidal ideation, self-poisoning and self-harm relative to all-cause emergency department visits was 2.30% during the prepandemic period and 3.52% during the pandemic period. The level (0.08%, 95% confidence interval [CI] -0.79% to 0.95%) or trend (0.07% per quarter, 95% CI -0.14% to 0.28%) of this percentage did not change significantly between periods. The average quarterly percentage of hospital admissions for the composite outcome relative to all-cause admissions was 7.18% during the prepandemic period and 8.96% during the pandemic period. This percentage showed no significant change in level (-0.70%, 95% CI -1.90% to 0.50%), but did show a significantly increasing trend (0.36% per quarter; 95% 0.07% to 0.65%) during the pandemic versus prepandemic periods, specifically among females aged 10-14 years (0.76% per quarter, 95% CI 0.22% to 1.30%) and females aged 15-18 years (0.56% per quarter, 95% CI 0.31% to 0.81%). INTERPRETATION: The quarterly change in the percentage of hospital admissions for suicidal ideation, self-poisoning and self-harm increased among adolescent females in Canada during the first 2 years of the COVID-19 pandemic. This underscores the need to promote public health policies that mitigate the impact of the pandemic on adolescent mental health.

Implementation of a Virtual Interprofessional ICU Learning Collaborative: Successes, Challenges, and Initial Reactions From the Structured Team-Based Optimal Patient-Centered Care for Virus COVID-19 Collaborators.

Initial Society of Critical Care Medicine Discovery Viral Infection and Respiratory illness Universal Study (VIRUS) Registry analysis suggested that improvements in critical care processes offered the greatest modifiable opportunity to improve critically ill COVID-19 patient outcomes. OBJECTIVES: The Structured Team-based Optimal Patient-Centered Care for Virus COVID-19 ICU Collaborative was created to identify and speed implementation of best evidence based COVID-19 practices. DESIGN SETTING AND PARTICIPANTS: This 6-month project included volunteer interprofessional teams from VIRUS Registry sites, who received online training on the Checklist for Early Recognition and Treatment of Acute Illness and iNjury approach, a structured and systematic method for delivering evidence based critical care. Collaborators participated in weekly 1-hour videoconference sessions on high impact topics, monthly quality improvement (QI) coaching sessions, and received extensive additional resources for asynchronous learning. MAIN OUTCOMES AND MEASURES: Outcomes included learner engagement, satisfaction, and number of QI projects initiated by participating teams. RESULTS: Eleven of 13 initial sites participated in the Collaborative from March 2, 2021, to September 29, 2021. A total of 67 learners participated in the Collaborative, including 23 nurses, 22 physicians, 10 pharmacists, nine respiratory therapists, and three nonclinicians. Site attendance among the 11 sites in the 25 videoconference sessions ranged between 82% and 100%, with three sites providing at least one team member for 100% of sessions. The majority reported that topics matched their scope of practice (69%) and would highly recommend the program to colleagues (77%). A total of nine QI projects were initiated across three clinical domains and focused on improving adherence to established critical care practice bundles, reducing nosocomial complications, and strengthening patient- and family-centered care in the ICU. Major factors impacting successful Collaborative engagement included an engaged interprofessional team; an established culture of engagement; opportunities to benchmark performance and accelerate institutional innovation, networking, and acclaim; and ready access to data that could be leveraged for QI purposes. CONCLUSIONS AND RELEVANCE: Use of a virtual platform to establish a learning collaborative to accelerate the identification, dissemination, and implementation of critical care best practices for COVID-19 is feasible. Our experience offers important lessons for future collaborative efforts focused on improving ICU processes of care.

Machine learning to identify attributes that predict patients who leave without being seen in a pediatric emergency department.

PURPOSE: To characterize patients who left without being seen (LWBS) from a Canadian pediatric Emergency Department (ED) and create predictive models using machine learning to identify key attributes associated with LWBS. METHODS: We analyzed administrative ED data from April 1, 2017, to March 31, 2020, from IWK Health ED in Halifax, NS. Variables included: visit disposition; Canadian Triage Acuity Scale (CTAS); triage month, week, day, hour, minute, and day of the week; sex; age; postal code; access to primary care provider; visit payor; referral source; arrival by ambulance; main problem (ICD10); length of stay in minutes; driving distance in minutes; and ED patient load. The data were randomly divided into training (80%) and test datasets (20%). Five supervised machine learning binary classification algorithms were implemented to train models to predict LWBS patients. We balanced the dataset using Synthetic Minority Oversampling Technique (SMOTE) and used grid search for hyperparameter tuning of our models. Model evaluation was made using sensitivity and recall on the test dataset. RESULTS: The dataset included 101,266 ED visits where 2009 (2%) records were excluded and 5800 LWBS (5.7%). The highest-performing machine learning model with 16 patient attributes was XGBoost which was able to identify LWBS patients with 95% recall and 87% sensitivity. The most influential attributes in this model were ED patient load, triage hour, driving minutes from home address to ED, length of stay (minutes since triage), and age. CONCLUSION: Our analysis showed that machine learning models can be used on administrative data to predict patients who LWBS in a Canadian pediatric ED. From 16 variables, we identified the five most influential model attributes. System-level interventions to improve patient flow have shown promise for reducing LWBS in some centres. Predicting patients likely to LWBS raises the possibility of individual patient-level interventions to mitigate LWBS.

RéSUMé: BUT: Caractériser les patients qui sont partis sans être vus (left without being seen LWBS) d'un service d'urgence (SU) pédiatrique canadien et créer des modèles prédictifs utilisant l'apprentissage automatique pour identifier les attributs clés associés au LWBS. MéTHODES: Nous avons analysé les données administratives de SU du 1er avril 2017 au 31 mars 2020 provenant de l'urgence de IWK Health à Halifax, en Nouvelle-Écosse. Les variables comprenaient: disposition de la visite; l'échelle canadienne de triage de la gravité (ETG); mois, semaine, jour, heure, minute et jour de la semaine; sexe; âge; code postal; accès au fournisseur de soins primaires; payeur de la visite; source de l'aiguillage; arrivée par ambulance; principal problème (CIM10); durée du séjour en minutes; distance de conduite en minutes; et la charge de patients de l'urgence. Les données ont été divisées de manière aléatoire en ensembles de données de formation (80%) et de test (20%). Cinq algorithmes de classification binaire d'apprentissage automatique supervisés ont été mis en œuvre pour former des modèles de prévision des patients atteints de LWBS. Nous avons équilibré l'ensemble de données à l'aide de la technique de suréchantillonnage synthétique des minorités (SMOTE) et utilisé la recherche de grille pour le réglage des hyperparamètres de nos modèles. L'évaluation du modèle a été faite en utilisant la sensibilité et le rappel sur l'ensemble de données d'essai. RéSULTATS: L'ensemble de données comprenait 101266 visites aux urgences où les enregistrements de 2009 (2%) ont été exclus et 5800 LWBS (5,7%). Le modèle d'apprentissage automatique le plus performant avec 16 attributs de patient était XGBoost, qui a été en mesure d'identifier les patients LWBS avec 95% de rappel et 87% de sensibilité. Les attributs les plus influents dans ce modèle étaient la charge de patients à l'urgence, l'heure de triage, les minutes de conduite entre l'adresse du domicile et l'urgence, la durée du séjour (minutes depuis le triage) et l'âge. CONCLUSION: Notre analyse a montré que les modèles d'apprentissage automatique peuvent être utilisés sur des données administratives pour prédire les patients qui sont partis sans être vus dans un service d'urgence pédiatrique canadien. À partir de 16 variables, nous avons identifié les cinq attributs de modèle les plus influents. Les interventions au niveau du système visant à améliorer le flux de patients se sont révélées prometteuses pour réduire les LWBS dans certains centres. La prévision des patients susceptibles de LWBS soulève la possibilité d'interventions individuelles au niveau des patients pour atténuer le LWBS.

Evidence-Based Pearls: Chest Trauma.

The challenge in caring for patients who sustain traumatic chest injuries centers on their complex needs from high acuity and the potential for multisystem effects and complications. Hemorrhage and respiratory compromise are common sequela of thoracic trauma. Patients must be resuscitated and their injuries managed with the primary goals of restoring cardiopulmonary structural integrity and preventing complications. There are evolving strategies for the management of the thoracic trauma victim including damage control resuscitation and surgery, endovascular repairs, and assessments implementing severity scores to aid in planning interventions.

Predictors of Adherence to Short-Course Probiotics Among Children with Gastroenteritis who are Enrolled in a Clinical Trial.

BACKGROUND: To improve our understanding of adherence to discharge medications in the ED and within research trials, we sought to quantify medication adherence and identify predictors thereof in children with acute gastroenteritis (AGE). METHODS: We conducted a secondary analysis of a randomized trial of twice daily probiotic for 5 days. The population included previously healthy children aged 3-47 months with AGE. The primary outcome was patient-reported adherence to the treatment regimen, defined a priori as having received >70% of the prescribed doses. Secondary outcomes included predictors of treatment adherence and concordance between patient-reported adherence and the returned medication sachet counts. RESULTS: After excluding participants with missing data on adherence, 760 participants were included in this analysis: 383 in the probiotic arm (50.4%); and 377 in the placebo arm (49.6%). Self-reported adherence was similar in both groups (77.0% in probiotic versus 80.3% in placebo). There was good agreement between self-reported adherence and sachet counts (87% within limits of agreement (-2.9 to 3.5 sachets) on the Bland-Altman plots). In the multivariable regression model, covariates associated with adherence were greater number of days of diarrhea post-emergency department visit, and the study site; covariates negatively associated with adherence were age 12-23 months, severe dehydration and greater total number of vomiting and diarrhea episodes after enrolment. CONCLUSIONS: Longer duration of diarrhea and study site were associated with higher probiotic adherence. Age 12-23 months, severe dehydration and greater number of vomiting and diarrhea episodes post enrolment negatively predicted treatment adherence.

Assessing the Feasibility and Implementation of Palliative Care Triggers in a Surgical Intensive Care Unit to Improve Interdisciplinary Collaboration for Patient and Family Care.

Although palliative care focuses on supporting patients and families through serious illness, it is underutilized in the surgical intensive care unit (SICU). In 2020, patients in the SICU represented only 2.75% of our palliative team's consults. We hypothesize that utilization of palliative care triggers in the SICU will increase collaboration between SICU and palliative care teams and improve patient/family experiences. After reviewing our team's consultation records and the published literature, a consult trigger program was implemented for patients with a SICU length of stay >10 days, unplanned SICU readmission, or new diagnosis of metastatic cancer. A pre-intervention survey assessed SICU providers' perceptions of palliative care. Retrospective analysis evaluated qualitative and quantitative measures. 97% of SICU providers felt increased palliative care would be helpful. During the 6-month project, January 1, 2021 - June 30, 2021, our palliative team performed 27 triggered consults, representing 3.3% of the total 818 consults performed during this period and thus a 20% increase in SICU palliative consults. Triggered consults represented many primary surgical services and the most common consult reason was length-of-stay. All consults included discussions about goals of care and 16 of the 27 patients/families expressed restorative goals. Numerous notes documented family appreciation.

Advancing Antibiotic Stewardship Nursing Practice Through Standardized Education: A Pilot Study.

Background Antibiotic resistance is a leading global public health threat. Nurses are well positioned to optimize antibiotic use via targeted antibiotic stewardship (AS) nursing practices. However, standardized AS education for nurses is lacking. The objective of this study was to evaluate the effect of an online AS for nurses continuing education program on nurses' antibiotic resistance, antibiotic, and AS knowledge and their intent to integrate AS into their clinical practice. Method A quasi-experiential pretest-posttest design was used with a convenience sample of nurses at a U.S. academic medical center. Focus groups were conducted with those completing the program. Results Forty-seven of 100 eligible nurses completed the program and the pre- and posttest surveys. Participation resulted in statistically significant increases (p < .05) in antibiotic resistance, antibiotic, and AS knowledge, confidence, and perceptions related to the role of nursing in AS. Focus group participants had multiple recommendations for ways to integrate AS in daily nursing practice. Conclusion Completing a comprehensive AS nursing continuing education program could prove instrumental to motivating nurses to adopt AS nursing practices. [J Contin Educ Nurs. 2022;53(9):417-423.].