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PURPOSE: To determine whether feedback of comparative information was associated with improvement in medical record and patient-based measures of quality in emergency departments. SUBJECTS AND METHODS: During 1-month study periods in 1993 and 1995, all medical records for patients who presented to five Harvard teaching hospital emergency departments with one of six selected chief complaints (abdominal pain, shortness of breath, chest pain, hand laceration, head trauma, or vaginal bleeding) were reviewed for the percent compliance with process-of-care guidelines. Patient-reported problems and patient ratings of satisfaction with emergency department care were collected from eligible patients using patient questionnaires. After reviewing benchmark information, emergency department directors designed quality improvement interventions to improve compliance with the process-of-care guidelines and improve patient-reported quality measures. RESULTS: In the preintervention period, 4,876 medical records were reviewed (99% of those eligible), 2,327 patients completed on-site questionnaires (84% of those eligible), and 1,386 patients completed 10-day follow-up questionnaires (80% of a random sample of eligible participants). In the postintervention period, 6,005 medical records were reviewed (99% of those eligible), 2,899 patients completed on-site questionnaires (84% of those eligible), and 2,326 patients completed 10-day follow-up questionnaires (80% of all baseline participants). In multivariate analyses, adjusting for age, urgency, chief complaint, and site, compliance with process-of-care guidelines increased from 55.9% (preintervention) to 60.4% (postintervention, P = 0.0001). We also found a 4% decrease (from 24% to 20%) in the rate of patient-reported problems with emergency department care ( P = 0.0001). There were no significant improvements in patient ratings of satisfaction. CONCLUSION: Feedback of benchmark information and subsequent quality improvement efforts led to small, although significant, improvement in compliance with process-of-care guidelines and patient-reported measures of quality. The measures that relied on patient reports of problems with care, rather than patient ratings of satisfaction with care, seemed to be more responsive to change. These results support the value of benchmarking and collaboration.

INTRODUCTION Rapid retrieval of information, including drug treatment options, is critical to emergency department practice. OBJECTIVES To assess feasibility and patient acceptance of personal digital assistants and to determine the scope of management changes. METHODS Emergency medicine residents (EMRs, n = 18) and emergency medicine attending (EMAs, n = 12) used personal digital assistants with drug database and clinical references. Text versions were also available in the emergency department. We did a prospective, random, cross-over time-motion study, recording retrieval time, source, and changes to patient care for 16 and 8 h for EMRs and EMAs, respectively. We surveyed patients for confidence in EMRs and EMAs with personal digital assistants, and perceived efficiency. RESULTS EMRs accessed paper (n = 131) or personal digital assistant (n = 181) information on 92.3% of patients (n = 17, both). They accessed personal digital assistant on 61.4% of patients vs. 44.5% with texts (odds ratio 1.99, 95% confidence interval 1.4-2.80). Mean access times were 9.3 and 9.4 s, respectively, +1.4 for both. Personal digital assistant access was 75%/25% between pharmacopeia and clinical resource. Personal digital assistants changed drug choice in 39/181 patients (21.5%), and other management (diagnosis, treatment or disposition) in 15/181 patients (8.3%). Odds ratio for change in management for personal digital assistant vs. paper was 2.00 (95% confidence interval 1.11-3.60). We surveyed patient perception for 198 of 295 patients (67.1%). Fifty percent reported more confidence in their EMRs and EMAs with a personal digital assistant, while 5% reported less confidence. Sixty percent agreed strongly that there is too much medical information to remember. CONCLUSIONS Personal digital assistants are feasible in an academic emergency department and change management more often than texts. EMRs accessed personal digital assistants more often than paper texts. Patient perceptions of physicians who use personal digital assistants are neutral or favorable.

Introduction Guidelines for the treatment of patients in severe hypothermia and mainly in hypothermic cardiac arrest recommend the rewarming using the extracorporeal circulation (ECC). However, guidelines for the further in-hospital diagnostic and therapeutic approach of these patients, who often suffer from additional injuries—especially in avalanche casualties, are lacking. Lack of such algorithms may relevantly delay treatment and put patients at further risk. Together with a multidisciplinary team, the Emergency Department at the University Hospital in Bern, a level I trauma centre, created an algorithm for the in-hospital treatment of patients with hypothermic cardiac arrest. This algorithm primarily focuses on the decision-making process for the administration of ECC. The Bernese Hypothermia Algorithm The major difference between the traditional approach, where all hypothermic patients are primarily admitted to the emergency centre, and our new algorithm is that hypothermic cardiac arrest patients without obvious signs of severe trauma are taken to the operating theatre without delay. Subsequently, the interdisciplinary team decides whether to rewarm the patient using ECC based on a standard clinical trauma assessment, serum potassium levels, core body temperature, sonographic examinations of the abdomen, pleural space, and pericardium, as well as a pelvic X-ray, if needed. During ECC, sonography is repeated and haemodynamic function as well as haemoglobin levels are regularly monitored. Standard radiological investigations according to the local multiple trauma protocol are performed only after ECC. Transfer to the intensive care unit, where mild therapeutic hypothermia is maintained for another 12 h, should not be delayed by additional X-rays for minor injuries. Discussion The presented algorithm is intended to facilitate in-hospital decision-making and shorten the door-to-reperfusion time for patients with hypothermic cardiac arrest. It was the result of intensive collaboration between different specialties and highlights the importance of high-quality teamwork for rare cases of severe accidental hypothermia. Information derived from the new International Hypothermia Registry will help to answer open questions and further optimize the algorithm.

Emergency Department (ED) crowding is a common problem in the United States and around the world. Process reengineering methods can be used to understand factors that contribute to crowding and provide tools to help alleviate crowding by improving service quality and patient flow. In this article, we describe the ED as a service business and then discuss specific methods to improve the ED quality and flow. Methods discussed include demand management, critical pathways, process-mapping, Emergency Severity Index triage, bedside registration, Lean and Six Sigma management methods, statistical forecasting, queuing systems, discrete event simulation modeling and balanced scorecards. The purpose of this review is to serve as a background for emergency physicians and managers interested in applying process reengineering methods to improving ED flow, reducing waiting times, and maximizing patient satisfaction. Finally, we present a position statement on behalf of the American Academy of Emergency Medicine addressing these issues.

Background In the context of a randomized controlled trial (RCT) on HIV testing in the emergency department (ED) setting, we evaluated preferences for survey modality and data quality arising from each modality. Methods Enrolled participants were offered the choice of answering a survey via audio computer assisted self-interview (ACASI) or pen and paper self-administered questionnaire (SAQ). We evaluated factors influencing choice of survey modality. We defined unusable data for a particular survey domain as answering fewer than 75% of the questions in the domain. We then compared ACASI and SAQ with respect to unusable data for domains that address sensitive topics. Results Of 758 enrolled ED patients, 218 (29%) chose ACASI, 343 chose SAQ (45%) and 197 (26%) opted not to complete either. Results of the log-binomial regression indicated that older (RR = 1.08 per decade) and less educated participants (RR = 1.25) were more likely to choose SAQ over ACASI. ACASI yielded substantially less unusable data than SAQ. Conclusions In the ED setting there may be a tradeoff between increased participation with SAQ versus better data quality with ACASI. Future studies of novel approaches to maximize the use of ACASI in the ED setting are needed.

Background: Research exploring the agreement between traditional medication records and electronic records generated by an automated dispensing device has been limited. Objective: To evaluate the extent of agreement between medication administration records written in paper-based emergency department charts and records generated by an automated dispensing device with regard to the presence or absence of a single, prespecified medication. Methods: Medication administration records in paper-based emergency department charts and medication dispensation records generated by an automated dispensing device were evaluated for concordance. The primary outcome measure was agreement between the 2 sources with regard to the presence or absence of a record for salbutamol by metereddose inhaler (MDI) for randomly selected patients who presented to a pediatric emergency department with wheeze-related illness from January 1, 2008, to December 31, 2009. Results: In total, 1172 patient visits met the inclusion criteria. Of these, records for 1013 visits showed agreement between the paper-based emergency department chart and the dispensation record of the automated dispensing device (kappa = 0.71, 95% confidence interval 0.67–0.75). This value did not meet the target kappa of 0.80. Stratification by time of day, day of week, month, season, or year of presentation at triage or by triage level or disposition (whether or not the patient was admitted to the hospital ward) did not significantly affect the level of agreement between the 2 sources. Conclusions: Agreement between records of salbutamol MDI administration in paper-based charts and dispensation records from an automated dispensing device was substantial, but discrepancies were present. There are significant quality management, legal, clinical, and research reasons to strive for concordance between multiple records with respect to medication use in the emergency department. Data generated by automated dispensing devices have potential value for research, but their strengths and limitations need to be understood. RESUME Contexte : Peu de recherches ont etudie la concordance entre les fiches de medicaments traditionnelles et les registres electroniques generes par une armoire de distribution automatisee. Objectif : Evaluer le degre de concordance entre les fiches manuscrites d’administration des medicaments dans les dossiers papier du service des urgences et les registres generes par une armoire de distribution automatisee en ce qui a trait a la presence ou a l’absence d’un seul medicament preselectionne. Methodes : Les fiches d’administration des medicaments dans les dossiers papier du service des urgences et les registres d’administration des medicaments generes par une armoire de distribution automatisee ont ete evalues au chapitre de la concordance. Le principal parametre d’evaluation etait la concordance entre les deux sources en ce qui a trait a la presence ou a l’absence d’une mention au sujet du salbutamol en aerosol-doseur chez des patients choisis au hasard qui se sont presentes au service de l’urgence pediatrique pour des symptomes de respiration sifflante, entre le 1 er janvier 2008 et le 31 decembre 2009. Resultats : Au total, 1172 visites de patients ont satisfait aux criteres d’inclusion. Lors de 1013 de ces visites, les fiches d’administration des medicaments dans les dossiers papier du service des urgences concordaient avec les registres d’administration des medicaments generes par une armoire de distribution automatisee (kappa = 0,71, intervalle de confiance a 95 % 0,67–0,75). Cette valeur n’a pas atteint le kappa cible de 0,80. La stratification selon l’heure du jour, le jour de la semaine, le mois, la saison ou l’annee de presentation au triage ou selon le niveau de triage ou l’issue (si le patient etait oui ou non hospitalise) n’a pas eu d’effet significatif sur le degre de concordance entre les deux sources. Conclusions : La concordance entre les mentions de l’administration du salbutamol en aerosol-doseur dans les dossiers papier et les registres generes par une armoire de distribution automatisee etait considerable, mais des differences ont ete observees. Il y a des motifs importants touchant la gestion de la qualite ainsi que les aspects juridiques, cliniques et de recherche qui justifient la concordance de multiples registres servant a consigner l’utilisation des medicaments dans le service de l’urgence. Les donnees generees par les armoires de distribution automatisee ont une valeur potentielle en recherche, mais leur force et leur faiblesse doivent etre comprises.

Background Emergency department (ED) staff are at-risk of burnout, poor wellbeing and increased stress that can impact patient satisfaction, staff morale and retention. The aim of this survey was to determine level of burnout, stress and satisfaction with current employment role in ED during COVID-19. Methods A multisite cross-sectional survey captured ED employment data, wellbeing, burnout (Maslach Burnout Inventory), stress (Health Professions Stress Inventory), work environment (WES-10) and Caring for COVID-19 Patients questions. Results The response rate of 44.2% (n = 177) represented all healthcare disciplines. Only 58.8% (n = 104) of participants were happy in their role, satisfaction was low, burnout was high (M 71.0, SD 17.1) as was level of stress (M 90.6, SD 16.5). Nurses and allied health staff were more stressed than their medical or support staff colleagues. Participants perceived discriminatory behaviours from friends and family in caring for suspected or infected COVID-19 patients. Conclusions ED staff are a vulnerable group. Programmes to promote wellbeing, personal resilience, and self-care together with personal and professional growth are needed to build individual capability and a culture of organisational resilience, particularly in the context of the COVID pandemic.

Background Patients presenting to Emergency Department (ED) with non-specific low back pain can receive more unnecessary, intensive and costly care than is recommended. The COVID-19 pandemic has provided an unprecedented opportunity to examine how health systems prioritise necessary care that provides clear benefits to patients. The purpose of this study was to examine the impact of COVID-19 on care of low back pain in the ED. Methods We performed a retrospective analysis of electronic medical record data on care for low back pain from three public hospitals in Sydney. We included patients diagnosed with spinal conditions who presented between March and May in 2019 and in 2020. Outcomes were the total number of patients presenting with spinal conditions to ED, the proportion diagnosed with non-specific low back pain, and the proportion receiving potentially unnecessary aspects of care (ambulance use, imaging, opioids, hospital admissions). We calculated relative risk with 95% CIs and examined plots with locally weighted smoothed curves. Results Presentations for spinal conditions over a three-month period to three EDs reduced from 694 in 2019 to 475 in 2020 (31% reduction, 95% CI = 26%–37%). The proportion of patients diagnosed with non-specific low back pain (83% in 2019 vs 86% in 2020), or receiving potentially unnecessary care were similar in 2019 and 2020 (Imaging = 25% vs 25%; Opioids = 54% vs 56%; Admitted = 18% vs 20%; pathology test = 24% vs 23%). The proportion of patients arriving by ambulance was higher during the pandemic; 29% in 2019 vs 41% in 2020 (RR = 1.39, 95% CI = 1.19–1.63). Conclusions ED presentations for low back pain associated with spinal conditions decreased substantially during the COVID-19 pandemic. Use of potentially unnecessary aspects of care did not change or increased during the pandemic.

Objective: To develop a predictive model for identifying patients at high risk of all-cause unplanned readmission within 30 days after discharge, using administrative data available before discharge. Materials and methods: Hospital administrative data of all adult admissions in three tertiary metropolitan hospitals in Australia between July 01, 2015, and July 31, 2016, were extracted. Predictive performance of four mixed-effect multivariable logistic regression models was compared and validated using a split-sample design. Diagnostic details (Charlson Comorbidity Index CCI, components of CCI, and primary diagnosis categorised into International Classification of Diseases chapters) were added gradually in the clinically simplified model with socio-demographic, index admission, and prior hospital utilisation variables. Results: Of the total 99 470 patients admitted, 5796 (5.8%) were re-admitted through the emergency department of three hospitals within 30 days after discharge. The clinically simplified model was as discriminative (C-statistic 0.694, 95% CI [0.681-0.706]) as other models and showed excellent calibration. Models with diagnostic details did not exhibit any substantial improvement in predicting 30-days unplanned readmission. Conclusion: We propose a 10-item predictive model to flag high-risk patients in a diverse population before discharge using readily available hospital administrative data which can easily be integrated into the hospital information system.

PURPOSE: This paper reports the quantitative component of a mixed-methods study of patient flow in the 10 urban health regions/zones of Western Canada. We assessed whether jurisdictions differed meaningfully in their emergency flow performance, defined as mean emergency department length of stay (ED LOS). METHODS: We used hierarchical linear modelling to compare ED LOS across jurisdictions, based on nationally reported data for 2017 to 2018. We also explored 36-month performance trends. Admitted and discharged patients were analyzed separately. RESULTS: With the exception of one high performer, no region's performance differed significantly from average for both admitted and discharged patients. The regions' levels of performance remained largely static throughout the study period. CONCLUSIONS: Results precluded any mixed-methods comparison of high- and low-performing regions. However, they converged with our qualitative findings, which suggested that most regions were pursuing similar flow-improvement strategies with limited effectiveness. Deeper changes may be required to address persistent misalignment between capacity and demand.

Background: With the rapid growth of the elderly population and the increasing incidence of cancer, an increasing number of geriatric patients are receiving cancer treatment, making the selection of appropriate treatment an important issue. Increasing studies have confirmed that frailty can predict adverse outcomes in geriatric patients with cancer after treatment, but local data from Taiwan are lacking. Therefore, this study aimed to investigate the correlation between frailty and chemotherapy-related adverse outcomes in geriatric patients with cancer. Material and Methods: A total of 234 geriatric patients aged ≥65 years with cancer receiving chemotherapy were enrolled during the study period of September 2016 to November 2018. The collected data included: patients’ basic demographics and Comprehensive Geriatric Assessment (CGA) before treatment, chemotherapy-related adverse outcomes, unexpected hospitalizations, and emergency department visits within 3 months of treatment. We investigated the association between frailty and chemotherapy-related adverse outcomes in geriatric patients with cancer using the chi-square test and logistic regression analysis. Results: The prevalence of frailty in geriatric patients with cancer was 58.1%. Age, marital status, main caregiver, cancer type, and Eastern Cooperative Oncology Group performance status, and physical fitness were factors associated with frailty. Frail geriatric patients with cancer were at higher risk of chemotherapy-related adverse outcomes, such as grades 3–4 thrombocytopenia (odds ratio [OR] = 11.13, p = 0.021) and grades 3–4 hyponatremia (OR = 12.03, p = 0.017), than non-frail patients, and they were at increased risk of unexpected hospitalizations (OR = 2.15, p = 0.025) and emergency department visits (OR = 1.99, p = 0.039). Conclusions: Frailty is a common problem in geriatric patients with cancer and significantly impacts chemotherapy-related adverse outcomes. Our findings suggest that geriatric patients with cancer should undergo frail assessment prior to chemotherapy as a reference to guide future treatment decisions.

Background Traumatic brain injury (TBI) is a global public health problem. In Colombia, it is estimated that 70% of deaths from violence and 90% of deaths from road traffic accidents are TBI related. In the year 2014, the Ministry of Health of Colombia funded the development of a clinical practice guideline (CPG) for the diagnosis and treatment of adult patients with severe TBI. A critical barrier to the widespread implementation was identified—that is, the lack of a specific protocol that spans various levels of resources and complexity across the four treatment phases. The objective of this article is to present the process and recommendations for the management of patients with TBI in various resource environments, across the treatment phases of prehospital care, emergency department (ED), surgery, and intensive care unit. Methods Using the Delphi methodology, a consensus of 20 experts in emergency medicine, neurosurgery, prehospital care, and intensive care nationwide developed recommendations based on 13 questions for the management of patients with TBI in Colombia. Discussion It is estimated that 80% of the global population live in developing economies where access to resources required for optimum treatment is limited. There is limitation for applications of CPGs recommendations in areas where there is low availability or absence of resources for integral care. Development of mixed methods consensus, including evidence review and expertise points of good clinical practices can fill gaps in application of CPGs. BOOTStraP (Beyond One Option for Treatment of Traumatic Brain Injury: A Stratified Protocol) is intended to be a practical handbook for care providers to use to treat TBI patients with whatever resources are available. Results Stratification of recommendations for interventions according to the availability of the resources on different stages of integral care is a proposed method for filling gaps in actual evidence, to organize a better strategy for interventions in different real-life scenarios. We develop 10 algorithms of management for building TBI protocols based on expert consensus to articulate treatment options in prehospital care, EDs, neurological surgery, and intensive care, independent of the level of availability of resources for care.

Purpose Through screening and HPV vaccination, cervical cancer can mostly be prevented or detected very early, before symptoms develop. However, cervical cancer persists, and many women are diagnosed at advanced stages. Little is known about the degree to which U.S. women may begin their diagnostic workup for cervical cancer in Emergency Departments (ED). We sought to quantify the proportion of women presenting symptomatically in the ED prior to their diagnosis with cervical cancer and to describe their characteristics and outcomes. Methods We identified women diagnosed from 2006 to 2017 with cervical cancer in the California Cancer Registry. We linked this cohort to statewide ED discharge records to determine ED use and symptoms present at the encounter. Multivariable logistic regression models examined associations with ED use and multivariable Cox proportional hazards regression models examined associations with survival. Results Of the more than 16,000 women with cervical cancer in the study cohort, 28% presented symptomatically in the ED prior to diagnosis. Those presenting symptomatically were more likely to have public (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.06–1.27) or no insurance (OR 4.81; CI 4.06–5.71) (vs. private), low socioeconomic status (SES) (OR 1.76; CI 1.52–2.04), late-stage disease (OR 5.29; CI 4.70–5.96), and had a 37% increased risk of death (CI 1.28–1.46). Conclusion Nearly a third of women with cervical cancer presented symptomatically, outside of a primary care setting, suggesting that many women, especially those with low SES, may not be benefiting from screening or healthcare following abnormal results.

The COVID-19 pandemic has presented many unique challenges to patient care especially in emergency medicine. These challenges result in an altered patient experience. Patient experience refers to the cumulative impression made on patients during their medical visit and is measured by a standardized survey tool. Patient experience is considered a key measure of quality of care. The volume of survey data received makes it difficult to spot trends and concerns in patient comments. Topic modeling and sentiment analysis are well documented analytic techniques that can be used to gain insight into patient experience and make sense of vast quantities of data. This study examined three periods of time, pre, during and post-COVID-19 first wave in order to identify key trends in sentiment and topics related to patient experience. Previously collected, anonymized Press Ganey (PG) survey data was used from three northeastern emergency department that make up an academic emergency department. Data was collected for three contiguous time periods: Pre-COVID-19 (12/10/2019- 3/10/2020), During COVID-19: (3/11/2020–6/10/2020), and Post-first wave COVID-19 (6/11/2020- 9/10/2020). Preprocessing of the data was carried out then a sentiment label (i.e., positive, negative, neutral, mixed) was assigned by the tool. These labels were used to assess the validity of Press Ganey labels. Next, a topic modeling approach from machine learning was used to analyze the contents of the patient comments and uncover concerns and perceptions of patient experiences. Themes that emerged from the analysis of patient comments included concerns over personal safety and exposure to the virus, exclusion of family from decision making and care and high levels of scrutiny over systems issues, care, and treatment protocols. Topic modeling showed shifting priorities and concerns throughout the three periods examined. Prior to the pandemic, patient comments were largely positive and focused on technical expertise and perceptions of competence. New topics and concerns that patients reported relevant to the pandemic were identified during-COVID-19. Comments on systems issues regarding processes to limit viral spread and concerns over family/visitor restrictions were dominant. Although there was evidence of praise and appreciation of the efforts of staff there was also a high level of scrutiny of the processes encountered during the emergency visit. Sentiment analysis and topic modeling offer a unique method for organizing and analyzing the shifting concerns of patients and families. Suggestions of interventions are made to address these evolving concerns. The automation of analysis using artificial intelligence would allow for rapid and accurate analysis of patient feedback.

PurposeTo assess the feasibility of needle arthroscopy for management of suspected bacterial arthritis in native joints.MethodsDuring a pilot period, patients presenting with symptoms suggestive of native joint bacterial arthritis were eligible for initial management with needle arthroscopy. Procedures were performed in the operating theatre or at the patient bedside in the emergency department or inpatient ward. As our primary outcome measure, it was assessed whether needle arthroscopic lavage resulted in a clear joint. In addition, the need for conversion to standard arthroscopy or arthrotomy, the need for conversion from local to general anaesthesia, complications and the need for additional surgical intervention at follow-up during admission were recorded.ResultsEleven joints in 10 patients (four males, age range 35 – 77) were managed with needle arthroscopy. Needle arthroscopic lavage resulted in a clear joint in all cases. Conversion to standard arthroscopy or arthrotomy was not needed. Seven procedures were performed at the patient bedside using local anaesthesia. These procedures were well tolerated and conversion to general or spinal anaesthesia was not required. There were no procedure complications. One patient received multiple needle arthroscopic lavages. No further surgical interventions beside the initial needle arthroscopic lavage were required for successful management in other cases.ConclusionsNeedle arthroscopy can be a feasible tool in the initial management of complaints suggestive for native joint bacterial arthritis, providing an effective, quick and well-tolerable intervention in the operating theatre or at the patient bedside, with the potential to relief health systems from need for scarce operating theatre time.