Low-acuity Patients Research Articles

Utilizing Lactation Acuity to Improve Lactation Services in a U.S. Hospital.

National staffing guidelines for hospital lactation services do not account for the lactation acuity of breastfeeding patients. Higher acuity breastfeeding couplets require a higher level of knowledge and skill from lactation care providers. In these cases, a referral to an International Board Certified Lactation Consultant (IBCLC) is recommended for appropriate management. Use of a lactation acuity classification system as a clinical practice innovation was implemented at Oklahoma University Medical Center to improve the distribution of staff resources for optimal care of breastfeeding patients. Lactation service reports from this facility, a tertiary care teaching hospital, were reviewed to evaluate staffing, number of lactation consults, reason for and acuity of consults, and time spent. The review included over 10,000 lactation consults completed over a 1-year period. Once the lactation acuity system for IBCLC staff was in place, there was an increased mean direct consult time and acuity level with 85% of IBCLC time allocated to high acuity consults. Trained bedside nurses handled most low-acuity patients. The percentage of patients needing a lactation consult who received one increased along with the number of consults per patient. Data on time spent per consult were stratified by acuity, location, and reason for consult, including details on priority consults for neonatal intensive care unit patients. The productivity of the lactation team was higher with the use of a lactation acuity system compared to without it. The data reported support the use of lactation acuity in making recommendations for staffing of hospital lactation services.

Impact of the Astra Zeneca COVID-19 vaccine on an emergency department.

To assess the impact of the AstraZeneca (AZ) vaccine roll-out on an ED. Primary outcomes are ED length of stay (LOS), investigation ordering and costs. Secondary measures are compliance with the Thrombosis and Haemostasis Society of Australia and New Zealand (THANZ) Vaccine-Induced Thrombotic Thrombocytopaenia Syndrome (VITT) guidelines. This retrospective observational study examined a level 5 ED in Sydney, Australia. Triages mentioning the AZ vaccine between 7 July 2021 and 8 November 2021 were reviewed. Cases were limited to a single day of the week. Researchers reviewed clinical notes to identify patients that presented due to AZ vaccine concern and abstracted relevant data. Costings were calculated using an ED activity-based funding algorithm. One thousand three hundred and fifty cases were identified, with 167 analysed (12%) and 97 presented (7%). Median LOS was 195 min (IQR: 152-232 min, 95% CI [184, 217]). Median age was 43 years (IQR: 35-65 years, 95% CI [44, 51]). Median Australian Triage Category was 4. Ninety-eight percent were discharged directly home. Ninety-four percent underwent pathology and 41% radiology. Compliance with the THANZ guidelines was 16%. No findings were related to VITT. AZ vaccine concern contributed 12% of August ED caseload. Over the 16-week study period a cost of AUD$486 747.99 was extrapolated. A high number of young, low acuity patients presented to the ED with AZ vaccine concerns and were associated with financial and workload implications. The quantity of ED presentations appears to be associated with vaccine administration rates. There was poor compliance with the THANZ guidelines, and they appear to have contributed to the high volume of investigations.

Differences in Accuracy Between Paramedics and Emergency Medical Technicians (EMTs) When Identifying Low-Acuity Pediatric Patients

Background Alternative emergency medical services (EMS) disposition programs have been developed for adults with low-acuity complaints. One barrier to including children in such programs is a lack of evidence regarding whether paramedics and emergency medical technicians (EMTs) can accurately identify children with low-acuity complaints. Our primary objective was to compare the accuracy of EMTs to that of paramedics in identifying low-acuity pediatric encounters. Our secondary objective was to determine whether support for alternative EMS dispositions differed between paramedics and EMTs. Methods This was a planned secondary analysis of a cross-sectional study of children transported by EMS to an emergency department (ED). Acuity was defined using a composite measure that included physiological patient assessments, resources used (including laboratory tests and radiographs), and patient disposition. EMS clinicians rated on a Likert scale their level of agreement that a patient had a low-acuity problem and could have been transported by private vehicle, seen in clinic, or not transported. The sensitivity, specificity, and positive and negative predictive values (PPV and NPV) for paramedic and EMT acuity assessments were calculated. Results EMS surveys were completed for 84.0% of 996 participants (76.4% by EMTs, 22.6% by paramedics). 35.1% of participants were classified as having a low-acuity complaint. The sensitivity for identifying a child as low-acuity was 24% (95% CI 20%, 38%) for paramedics and 50% (46%, 54%) for EMTs. The PPV for identifying a child as low-acuity was 0.44 (0.28, 0.60) for paramedics and 0.62 (0.55, 0.68) for EMTs. Only 20.5% of paramedics and 22.5% of EMTs supported non-transport for children with low-acuity complaints. Conclusions Relying on EMS assessments of pediatric patient acuity may lead to under-triage, regardless of whether a paramedic or EMT makes this determination. Additional training and triage tools may be required before children can be safely included in alternative EMS disposition programs.

Surgical Specialty Outcome Differences for Major Spinal Procedures in Low-Acuity Patients.

Retrospective Cohort Study. There is an ongoing debate as to the influence of specialty training on spine surgery. Alomari et al. indicated the influence of specialty on ACDF procedures. However, deeper analysis into other spine procedures and lower-acuity procedures has yet to occur. In this study, we aim to determine if the outcomes of the low American Society of Anesthesiologists (ASA) classification (ASA 1&2) patients undergoing spine surgery vary based on whether the operating surgeon was an orthopedic surgeon or a neurosurgeon. The NSQIP databases from 2015 to 2021 were queried based on the CPT code for nine common spine procedures. Indicators of surgical course and successful outcomes were documented and compared between specialties. Neurosurgeons had minimally shorter operative times in the ASA 1&2 combined classification (ASA-C) group for cervical, lumbar, and combined spinal procedural groups. Neurosurgeons had a slightly lower percentage of perioperative transfusions in select ASA-C classes. Orthopedic surgeons had shorter lengths of stay for the cervical groups in ASA-C and ASA-1 classes (ASA-1). However, many specialty differences found in spine patients become less pronounced when considering only ASA-1 patients. Finally, postoperative complication outcomes and re-admission were similar between orthopedic and neurological surgeons in all cases. These results, while statistically significant, are very likely clinically insignificant. They demonstrate that both orthopedic surgeons and neurosurgeons perform spinal surgery exceedingly safely with similarly low complication rates. This lays the groundwork for future exploration and benchmarking of performance in spine surgeries across neurosurgery and orthopedics.

Redirection of low-acuity emergency department patients to nearby medical clinics using an electronic medical support system: effects on emergency department performance indicators

BackgroundOvercrowded emergency departments (EDs) are associated with higher morbidity and mortality and suboptimal quality-of-care. Most ED flow management strategies focus on early identification and redirection of low-acuity patients to primary care settings. To assess the impact of redirecting low-acuity ED patients to medical clinics using an electronic clinical decision support system on four ED performance indicators.MethodsWe performed a retrospective observational study in the ED of a Canadian tertiary trauma center where a redirection process for low-acuity patients was implemented. The process was based on a clinical decision support system relying on an algorithm based on chief complaint, performed by nurses at triage and not involving physician assessment. All patients visiting the ED from 2013 to 2017 were included. We compared ED performance indicators before and after implementation of the redirection process (June 2015): length-of-triage, time-to-initial-physician-assessment, length-of-stay and rate of patients leaving without being seen. We performed an interrupted time series analysis adjusted for age, gender, time of visit, triage category and overcrowding.ResultsOf 242,972 ED attendees over the study period, 9546 (8% of 121,116 post-intervention patients) were redirected to a nearby primary medical clinic. After the redirection process was implemented, length-of-triage increased by 1 min [1;2], time-to-initial assessment decreased by 13 min [-16;-11], length-of-stay for non-redirected patients increased by 29 min [13;44] (p < 0.001), minus 20 min [-42;1] (p = 0.066) for patients assigned to triage 5 category. The rate of patients leaving without being seen decreased by 2% [-3;-2] (p < 0.001).ConclusionImplementing a redirection process for low-acuity ED patients based on a clinical support system was associated with improvements in two of four ED performance indicators.

Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning-Enhanced Approaches.

Prehospital telemedicine triage systems combined with machine learning (ML) methods have the potential to improve triage accuracy and safely redirect low-acuity patients from attending the emergency department. However, research in prehospital settings is limited but needed; emergency department overcrowding and adverse patient outcomes are increasingly common. In this scoping review, we sought to characterize the existing methods for ML-enhanced telemedicine emergency triage. In order to support future research, we aimed to delineate what data sources, predictors, labels, ML models, and performance metrics were used, and in which telemedicine triage systems these methods were applied. A scoping review was conducted, querying multiple databases (MEDLINE, PubMed, Scopus, and IEEE Xplore) through February 24, 2023, to identify potential ML-enhanced methods, and for those eligible, relevant study characteristics were extracted, including prehospital triage setting, types of predictors, ground truth labeling method, ML models used, and performance metrics. Inclusion criteria were restricted to the triage of emergency telemedicine services using ML methods on an undifferentiated (disease nonspecific) population. Only primary research studies in English were considered. Furthermore, only those studies using data collected remotely (as opposed to derived from physical assessments) were included. In order to limit bias, we exclusively included articles identified through our predefined search criteria and had 3 researchers (DR, JS, and KS) independently screen the resulting studies. We conducted a narrative synthesis of findings to establish a knowledge base in this domain and identify potential gaps to be addressed in forthcoming ML-enhanced methods. A total of 165 unique records were screened for eligibility and 15 were included in the review. Most studies applied ML methods during emergency medical dispatch (7/15, 47%) or used chatbot applications (5/15, 33%). Patient demographics and health status variables were the most common predictors, with a notable absence of social variables. Frequently used ML models included support vector machines and tree-based methods. ML-enhanced models typically outperformed conventional triage algorithms, and we found a wide range of methods used to establish ground truth labels. This scoping review observed heterogeneity in dataset size, predictors, clinical setting (triage process), and reported performance metrics. Standard structured predictors, including age, sex, and comorbidities, across articles suggest the importance of these inputs; however, there was a notable absence of other potentially useful data, including medications, social variables, and health system exposure. Ground truth labeling practices should be reported in a standard fashion as the true model performance hinges on these labels. This review calls for future work to form a standardized framework, thereby supporting consistent reporting and performance comparisons across ML-enhanced prehospital triage systems.

How Super Is Supertrack? Expediting Care of Fast-track Patients through a Pediatric Emergency Department.

Fast-track models decrease patient crowding in emergency departments (EDs) by redirecting low-acuity patients to an expedited care pathway. In 2016, this institution's pediatric ED created a fast-track pathway for patients evaluated in a rapid assessment triage area who needed further management in the primary ED. This "Supertrack" designation was intended for patients requiring up to 1 hour of additional care, though means of ensuring these patients were discharged within their anticipated timeframe were lacking. We aimed to increase the percentage of Supertrack patients discharged within 1 hour of their ED bed assignment from 17% to 50%. Interventions included the creation of objective Supertrack criteria, departmental-wide progress reports, personalized reminders, intake huddles, and documentation prompts. We visualized data from Plan, Do, Study, Act (PDSA) cycles with statistical process control charts to determine special cause variation. The percentage of Supertrack patients discharged within their anticipated timeframe increased from 17% to 27% without an increase in return ED visits. The average time Supertrack patients spent in the ED decreased from 121 to 103 minutes. Personalized reminders demonstrated a significant but short-lived improvement. We improved the flow of Supertrack patients by decreasing their length of stay and increasing how many were discharged within their anticipated timeframe. Limitations included an unexpected surge in patients with respiratory complaints and staffing and structural constraints preventing the designation of a discrete Supertrack assessment space with dedicated providers. These findings are helpful for institutions seeking to develop an effective fast-track model with limited space and resources.

Emergency Severity Index Version 4 and Triage of Pediatric Emergency Department Patients

Most emergency departments (EDs) across the US use the Emergency Severity Index (ESI) to predict acuity and resource needs. A comprehensive assessment of ESI accuracy among pediatric patients is lacking. To assess the frequency of mistriage using ESI (version 4) among pediatric ED visits using automated measures of mistriage and identify characteristics associated with mistriage. This cohort study used operational measures for each ESI level to classify encounters as undertriaged, overtriaged, or correctly triaged to assess the accuracy of the ESI and identify characteristics of mistriage. Participants were pediatric patients at 21 EDs within Kaiser Permanente Northern California from January 1, 2016, to December 31, 2020. During that time, version 4 of the ESI was in use by these EDs. Visits with missing ESI, incomplete ED time variables, patients transferred from another ED, and those who left against medical advice or without being seen were excluded. Data were analyzed between January 2022 and June 2023. Assigned ESI level. Rates of undertriage and overtriage by assigned ESI level based on mistriage algorithm, patient and visit characteristics associated with undertriage and overtriage. This study included 1 016 816 pediatric ED visits; the mean (SD) age of patients was 7.3 (5.6) years, 479 610 (47.2%) were female, and 537 206 (52.8%) were male. Correct triage occurred in 346 918 visits (34.1%; 95% CI, 34.0%-34.2%), while overtriage and undertriage occurred in 594 485 visits (58.5%; 95% CI, 58.4%-58.6%) and 75 413 visits (7.4%; 95% CI, 7.4%-7.5%), respectively. In adjusted analyses, undertriage was more common among children at least 6 years old compared with those younger 6 years; male patients compared with female patients; patients with Asian, Black, or Hispanic or other races or ethnicities compared with White patients; patients with comorbid illnesses compared with those without; and patients who arrived by ambulance compared with nonambulance patients. This multicenter retrospective study found that mistriage with ESI version 4 was common in pediatric ED visits. There is an opportunity to improve pediatric ED triage, both in early identification of critically ill patients (limit undertriage) and in more accurate identification of low-acuity patients with low resource needs (limit overtriage). Future research should include assessments based on version 5 of the ESI, which was released after this study was completed.

Emergency department visits as a potential opportunity to promote primary care attachment and modify utilization patterns – results of a pilot study in Berlin, Germany

BackgroundUtilization by low acuity patients contributes to emergency department (ED) crowding. Both knowledge deficits about adequate care levels and access barriers in primary care are important promoters of such presentations. Concurrently, not having a general practitioner (GP) increases the likelihood of low-acuity ED utilization. This pilot study thus investigated feasibility, acceptance, and potential effects of an ED-delivered intervention for low-acuity patients with no regular primary care provider, consisting of an educational leaflet on acute care options and an optional GP appointment scheduling service.MethodsLow-acuity ED consulters not attached to a GP were given an information leaflet about alternative care offers for acute health problems and offered optional personal appointment scheduling at a local GP practice. Patients were surveyed on demographics, medical characteristics, health care utilization, valuation of the intervention, and reasons for not being attached to a GP and visiting the ED. A follow-up survey was conducted after twelve months. Trends in health and health care utilization were evaluated.ResultsBetween December 2020 and April 2022, n = 160 patients were enrolled, n = 114 were followed up. The study population was characterized by young age (mean 30.6 years) and predominantly good general health. Besides good health, personal mobility was a central reason for not being attached to a GP, but general preference for specialists and bad experiences with primary care were also mentioned. Most frequently stated motives for the ED consultation were subjective distress and anxiety, a belief in the superiority of the hospital, and access problems in primary care. The interventional offers were favorably valued, 52.5% (n = 84) accepted the GP appointment scheduling service offer. At follow-up, GP utilization had significantly increased, while there were no significant changes regarding utilization of other providers, including ED. An additional practice survey showed a 63.0% take-up rate for the appointment service.ConclusionsWith this pilot study, we were able to show that a personalized appointment scheduling service seems to be a promising approach to promote GP attachment and increase primary care utilization in patients without a regular GP in a highly urbanized setting. Further larger-scale studies are needed to investigate potential quantitative effects on ED visits.Trial RegistrationGerman Clinical Trials Register (DRKS00023480); date 2020/11/27.

Does Practice Match Protocol? A Comparison of Triage-to-Provider Time Among More vs. Less Acute Emergency Department Patients.

Introduction The Emergency Severity Index (ESI) stratifies emergency department (ED) patients for triage, from "most acute" (level 1) to "least acute" (level 5). Many EDs have a split flow model where less acute (ESI 4 and 5) are seen in a fast track, while more acute (ESI 1, 2, and 3) are seen in the acute care area. A core principle of emergency medicine (EM) is to attend to more acute patients first. Deliberately designating an area for less acute patients to be initially assessed quickly by a first provider might result in them being seen before more acute patients. This study aims to determine the percentage of less acute patients seen by a provider sooner after triage than more acute patients who arrived within 10 minutes of one another. Additionally, this study compares the fast track and acute care areas to see if location affects triage-to-provider time. Methods A random convenience sample of 252 ED patients aged ≥18 was taken. Patients were included if their ESI was available for the provider during sign-up. Patients were excluded if they were directly sent to the ED psychiatric area or attended to by the author. We collected data on the ESI level, time stamps for triage and first provider sign-up, and the location to which the patient was triaged (fast track vs. acute care). Paired patients' ESI levels, locations, and triage and first provider sign-up times were compared. Results The study included 126 pairs of patients. There was a statistically significant difference in triage-to-provider times for paired ESI 2 vs. 3 patients (60.5 vs. 35.5 minutes, p = 0.0007) and overall paired high- vs. low-acuity patients (55 vs. 39.5 minutes, p = 0.004). However, in 34.8% of paired ESI 2 vs. 3 patients, the ESI 3 patient was seen prior to the paired ESI 2 patient, and in 39.4% of overall paired high vs. low acuity patients, the less acute patient was seen before the more acute patient. Additionally, patients in the acute care area had significantly shorter median triage-to-provider times (~40 minutes) compared to those in the fast track area for ESI 2 (acute care) vs. ESI 3 (fast track) and overall high acuity (acute care) vs. low acuity (fast track). Nonetheless, approximately one-third of ESI 3 patients triaged to fast track were seen before ESI 2 patients triaged to the acute care area. Conclusion The split flow model reduces overall ED length of stay, improving flow volume, revenue, and patient satisfaction. However, it comes at the expense of the fundamental ethos of EM and potentially subverts the intended triage process. Although most more acute patients are seen by a provider sooner after triage than less acute patients, a substantial number are seen later, which could delay urgent medical needs and negatively impact patients' outcomes. Furthermore, patients triaged to acute care are, in general, seen sooner post-triage than identical-ESI-level fast track patients, suggesting fast track might not function as intended (for low-acuity patients to be quickly assessed and initiate diagnostic and treatment plans). We intend to follow this exploratory study with a more comprehensive, multivariate analysis that will consider confounding variables such as initial vital signs, how busy a provider was that day, etc. The future study will also examine patient outcomes to determine the impact on more acute patients of the split flow model and, in particular, on less acute patients being seen sooner by a first provider.

Non-emergency department (ED) interventions to reduce ED utilization: a scoping review

BackgroundEmergency department (ED) crowding is a global burden. Interventions to reduce ED utilization have been widely discussed in the literature, but previous reviews have mainly focused on specific interventions or patient groups within the EDs. The purpose of this scoping review was to identify, summarize, and categorize the various types of non-ED-based interventions designed to reduce unnecessary visits to EDs.MethodsThis scoping review followed the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive structured literature search was performed in the databases MEDLINE and Embase from 2008 to March 2024. The inclusion criteria covered studies reporting on interventions outside the ED that aimed to reduce ED visits. Two reviewers independently screened the records and categorized the included articles by intervention type, location, and population.ResultsAmong the 15,324 screened records, we included 210 studies, comprising 183 intervention studies and 27 systematic reviews. In the primary studies, care coordination/case management or other care programs were the most commonly examined out of 15 different intervention categories. The majority of interventions took place in clinics or medical centers, in patients’ homes, followed by hospitals and primary care settings - and targeted patients with specific medical conditions.ConclusionA large number of studies have been published investigating interventions to mitigate the influx of patients to EDs. Many of these targeted patients with specific medical conditions, frequent users and high-risk patients. Further research is needed to address other high prevalent groups in the ED - including older adults and mental health patients (who are ill but may not need the ED). There is also room for further research on new interventions to reduce ED utilization in low-acuity patients and in the general patient population.

Managing low–acuity patients in an Emergency Department through simulation–based multiobjective optimization using a neural network metamodel

This paper deals with Emergency Department (ED) fast-tracks for low-acuity patients, a strategy often adopted to reduce ED overcrowding. We focus on optimizing resource allocation in minor injuries units, which are the ED units that can treat low-acuity patients, with the aim of minimizing patient waiting times and ED operating costs. We formulate this problem as a general multiobjective simulation-based optimization problem where some of the objectives are expensive black-box functions that can only be evaluated through a time-consuming simulation. To efficiently solve this problem, we propose a metamodeling approach that uses an artificial neural network to replace a black-box objective function with a suitable model. This approach allows us to obtain a set of Pareto optimal points for the multiobjective problem we consider, from which decision-makers can select the most appropriate solutions for different situations. We present the results of computational experiments conducted on a real case study involving the ED of a large hospital in Italy. The results show the reliability and effectiveness of our proposed approach, compared to the standard approach based on derivative-free optimization.

“I do not know the advantages of having a general practitioner” - a qualitative study exploring the views of low-acuity emergency patients without a regular general practitioner toward primary care

BackgroundEmergency departments (ED) worldwide have to cope with rising patient numbers. Low-acuity consulters who could receive a more suitable treatment in primary care (PC) increase caseloads, and lack of PC attachment has been discussed as a determinant. This qualitative study explores factors that contribute to non-utilization of general practitioner (GP) care among patients with no current attachment to a GP.MethodQualitative semi-structured telephone interviews were conducted with 32 low-acuity ED consulters with no self-reported attachment to a GP. Participants were recruited from three EDs in the city center of Berlin, Germany. Data were analyzed by qualitative content analysis.ResultsInterviewed patients reported heterogeneous factors contributing to their PC utilization behavior and underlying views and experiences. Participants most prominently voiced a rare need for medical services, a distinct mobility behavior, and a lack of knowledge about the role of a GP and health care options. Views about and experiences with GP care that contribute to non-utilization were predominantly related to little confidence in GP care, preference for directly consulting medical specialists, and negative experiences with GP care in the past. Contrasting their reported utilization behavior, many interviewees still recognized the advantages of GP care continuity.ConclusionUnderstanding reasons of low-acuity ED patients for GP non-utilization can play an important role in the design and implementation of patient-centered care interventions for PC integration. Increasing GP utilization, continuity of care and health literacy might have positive effects on patient decision-making in acute situations and in turn decrease ED burden.Trial registrationGerman Clinical Trials Register: DRKS00023480; date: 2020/11/27.

Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery.

To determine whether certain patients are vulnerable to errant triage decisions immediately after major surgery and whether there are unique sociodemographic phenotypes within overtriaged and undertriaged cohorts. In a fair system, overtriage of low-acuity patients to intensive care units (ICUs) and undertriage of high-acuity patients to general wards would affect all sociodemographic subgroups equally. This multicenter, longitudinal cohort study of hospital admissions immediately after major surgery compared hospital mortality and value of care (risk-adjusted mortality/total costs) across 4 cohorts: overtriage (N = 660), risk-matched overtriage controls admitted to general wards (N = 3077), undertriage (N = 2335), and risk-matched undertriage controls admitted to ICUs (N = 4774). K-means clustering identified sociodemographic phenotypes within overtriage and undertriage cohorts. Compared with controls, overtriaged admissions had a predominance of male patients (56.2% vs 43.1%, P < 0.001) and commercial insurance (6.4% vs 2.5%, P < 0.001); undertriaged admissions had a predominance of Black patients (28.4% vs 24.4%, P < 0.001) and greater socioeconomic deprivation. Overtriage was associated with increased total direct costs [$16.2K ($11.4K-$23.5K) vs $14.1K ($9.1K-$20.7K), P < 0.001] and low value of care; undertriage was associated with increased hospital mortality (1.5% vs 0.7%, P = 0.002) and hospice care (2.2% vs 0.6%, P < 0.001) and low value of care. Unique sociodemographic phenotypes within both overtriage and undertriage cohorts had similar outcomes and value of care, suggesting that triage decisions, rather than patient characteristics, drive outcomes and value of care. Postoperative triage decisions should ensure equality across sociodemographic groups by anchoring triage decisions to objective patient acuity assessments, circumventing cognitive shortcuts and mitigating bias.

Which low urgent triaged febrile children are suitable for a fast track? An observational European study

BackgroundThe number of paediatric patients visiting the ED with non-urgent problems is increasing, leading to poor patient flow and ED crowding. Fast track aims to improve the efficiency of evaluation...

Prevalence of Low-Acuity Pediatric Emergency Medical Services Transports to a Pediatric Emergency Department in an Urban Area.

Many patients transported by Emergency Medical Services (EMS) do not have emergent resource needs. Estimates for the proportion of pediatric EMS calls for low-acuity complaints, and thus potential candidates for alternative dispositions, vary widely and are often based on physician judgment. A more accurate reference standard should include patient assessments, interventions, and dispositions. The objective of this study was to describe the prevalence and characteristics of low-acuity pediatric EMS calls in an urban area. This is a prospective observational study of children transported by EMS to a tertiary care pediatric emergency department. Patient acuity was defined using a novel composite measure that included physiologic assessments, resources used, and disposition. Bivariable and multivariable logistic regression were conducted to assess for factors associated with low-acuity status. A total of 996 patients were enrolled, of whom 32.9% (95% confidence interval, 30.0-36.0) were low acuity. Most of the sample was Black, non-Hispanic with a mean age of 7 years. When compared with adolescents, children younger than 1 year were more likely to be low acuity (adjusted odds ratio, 3.1 [1.9-5.1]). Patients in a motor vehicle crash were also more likely to be low acuity (adjusted odds ratio, 2.4 [1.2-4.6]). All other variables, including race, insurance status, chief complaint, and dispatch time, were not associated with low-acuity status. One third of pediatric patients transported to the pediatric emergency department by EMS in this urban area are for low-acuity complaints. Further research is needed to determine low-acuity rates in other jurisdictions and whether EMS providers can accurately identify low-acuity patients to develop alternative EMS disposition programs for children.

Big Data-Enabled Analysis of Factors Affecting Medical Expenditure in the Cerebral Infarction of a Developing City in Western China.

Cerebral infarction (CI) has been one of the leading causes of death in China since 2017, and controlling the medical expenses of this disease is an urgent issue for the Chinese government. This study aims to explore the important factors that affect the hospitalization expenses of CI patients and to provide a scientific basis for establishing a reasonable reimbursement mechanism and hospitalization expense standard for CI patients. Data from 109,314 inpatients from the Healthcare Security Administration of Chengdu in western China from January 2016 to December 2018 were utilized. Descriptive statistical analysis was used for variable characteristic analysis. The Mann-Whitney test and Kruskal-Wallis test were used for single-factor analysis, and multiple linear stepwise regression was used for single-factor analysis and multiple-factor analysis. This study found that the average direct economic burden of CI in Chengdu was approximately 10,569 Chinese yuan (CNY), about 1450 US dollars, the average length of stay (LOS) was 14.47 days, the indirect economic burden was approximately 2817 CNY, and the total economic burden was 13,386 CNY for a CI inpatient. Gender, insurance type, grade of medical institution, the level of payment type, age, LOS, and complications and comorbidities (CCs) are the most important factors affecting CI medical costs. Citizens should improve their lifestyle habits to reduce disease risk to avoid the associated medical and economic burdens. Hospitals should improve their medical technology to decrease the LOS and reduce direct medical costs. The government should actively promote the hierarchical diagnosis and treatment policy to reduce the waste of medical resources caused by low-acuity patients going to high-level hospitals for treatment. The National Healthcare Security Administration should optimize the medical insurance payment method and establish a corresponding mechanism to reduce the occurrence of excessive medical treatments such as overuse.

Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial

BackgroundOverprescribing of antibiotics for acute respiratory infections (ARIs) remains a major issue in outpatient settings. Use of clinical prediction rules (CPRs) can reduce inappropriate antibiotic prescribing but they remain underutilized by physicians and advanced practice providers. A registered nurse (RN)-led model of an electronic health record-integrated CPR (iCPR) for low-acuity ARIs may be an effective alternative to address the barriers to a physician-driven model.MethodsFollowing qualitative usability testing, we will conduct a stepped-wedge practice-level cluster randomized controlled trial (RCT) examining the effect of iCPR-guided RN care for low acuity patients with ARI. The primary hypothesis to be tested is: Implementation of RN-led iCPR tools will reduce antibiotic prescribing across diverse primary care settings. Specifically, this study aims to: (1) determine the impact of iCPRs on rapid strep test and chest x-ray ordering and antibiotic prescribing rates when used by RNs; (2) examine resource use patterns and cost-effectiveness of RN visits across diverse clinical settings; (3) determine the impact of iCPR-guided care on patient satisfaction; and (4) ascertain the effect of the intervention on RN and physician burnout.DiscussionThis study represents an innovative approach to using an iCPR model led by RNs and specifically designed to address inappropriate antibiotic prescribing. This study has the potential to provide guidance on the effectiveness of delegating care of low-acuity patients with ARIs to RNs to increase use of iCPRs and reduce antibiotic overprescribing for ARIs in outpatient settings.Trial registrationClinicalTrials.gov Identifier: NCT04255303, Registered February 5 2020, https://clinicaltrials.gov/ct2/show/NCT04255303.

What impact would reducing low-acuity attendance have on emergency department length of stay? A discrete event simulation modelling study

BackgroundLong waiting times in the ED have been shown to cause negative outcomes for patients. This study aims to assess the effect in reducing length of stay of (1) preventing...

A Telemedicine Solution to Minimize Unnecessary Emergency Department Transfers for Low-acuity Pediatric Orthopaedic Patients: A Model for Cost Minimization.

Unnecessary emergency department (ED) transfers represent a notable source of excess costs and misutilization of healthcare resources, particularly with management of acute pediatric musculoskeletal injuries. This study used institutional data to create a model investigating the expected costs of a formal peer-to-peer telemedicine intervention designed to triage pediatric orthopaedic transfers, which we hypothesized would decrease healthcare costs by minimizing unwarranted ED-to-ED transfers. In this retrospective modeling analysis, 350 pediatric orthopaedic trauma patients transferred to two in-network referral hospitals from outside facilities were identified and stratified into three groups representing how patients theoretically optimally could have been treated. Group 1 patients required ambulance transfer, group 2 patients required ED-level care but no ambulance transfer, and group 3 patients did not require ED-level care. Base case estimates for the proportions of patients in each group, probability of ambulance transport, and direct costs of care for each patient were derived from the database. A decision tree was developed to evaluate the expected costs of two triaging strategies: (1) transfer everyone or (2) triage first using e-consultation. Probabilistic sensitivity analyses were used to determine how the results of the decision analysis varied across ranges of cost and probability estimates. In the base case analysis, the telemedicine triage strategy was cheaper than the transfer-all strategy ($4,858 versus $6,610). In a 2-way sensitivity analysis comparing cost of a telemedicine visit and proportion of telemedicine triaged patients requiring ambulance transport, the telemedicine triage strategy remained cheaper than the transfer-all strategy across almost all possibilities for both variables. Additional potential benefits of triage before transfer, such as decreased length of time to completion of ED visit, cost to the family, and patient comfort and satisfaction, were not incorporated into this analysis. The potential for misdiagnosis related to telehealth and its potential costs were not included. We revealed substantial cost savings for the healthcare system from implementing a telehealth platform for peer-to-peer consultation when considering patient transfer for musculoskeletal trauma. Initial peer-to-peer e-consultations cost less than reflexive ambulance transfer in most situations. Economic Level II.