A Qualitative Analysis of Barriers to Evidence-Based Care in the Prehospital Management of Patients with Suspected Acute Coronary Syndrome.

OBJECTIVES: Prehospital electrocardiogram (ECG) and administration of aspirin are evidence-based strategies for patients with acute coronary syndrome (ACS). However, emergency medical services (EMS) compliance in patients with suspected ACS varies widely. We sought to understand the barriers to prehospital ECG acquisition and aspirin administration for patients with suspected ACS. METHODS: In this qualitative study, we interviewed EMS clinicians at three geographically diverse United States (U.S.)-based EMS agencies. We interviewed practicing clinicians and quality and operations leaders at these agencies. Based on the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, interviews were recorded, transcribed, and analyzed using a grounded qualitative approach with open coding. The Systems Engineering Initiative for Patient Safety (SEIPS) framework and a constant comparison technique were used to identify and refine themes. RESULTS: Twenty-five paramedics and 20 additional agency personnel participated. Median age was 41 (IQR: 34-51) years and 13 (29%) were female. Themes were organized using SEIPS and longitudinally through four phases of an EMS call. During the pre-arrival phase, staffing challenges, training quality, and dispatch may anchor EMS clinicians on a diagnosis. During the diagnosis and treatment phase, safety and communication barriers may take priority over care delivery. Additionally, EMS clinicians must allocate assets (e.g. whether to send an advanced life support unit) and financial resources; veteran EMS clinicians identified their experience whereas newer clinicians cited their recent education when making these decisions. Also, diagnostic uncertainty due to increasing patient complexity and atypical presentations contributed to diagnostic errors. During the response and transport phase, the scope of practice limits the use and interpretation of the ECG, with clinicians reporting that liberal use of ECG led to more rapid decision-making. Finally, in the after phase, personnel reported the "psychologically taxing" nature of the job contributing to biases, bad habits, and burnout. Performance feedback was desired for personal development, though currently perceived as infrequent and punitive. CONCLUSIONS: Multiple, interrelated themes underscored the complexities of delivering evidence-based care to prehospital patients with ACS. Education in ECG interpretation, resource allocation, bias, and enhancing feedback may serve as strategies to address the identified barriers.

Determinants of appropriate antibiotic and NSAID prescribing in unscheduled outpatient settings in the veterans health administration.

BACKGROUND: Despite efforts to enhance the quality of medication prescribing in outpatient settings, potentially inappropriate prescribing remains common, particularly in unscheduled settings where patients can present with infectious and pain-related complaints. Two of the most commonly prescribed medication classes in outpatient settings with frequent rates of potentially inappropriate prescribing include antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs). In the setting of persistent inappropriate prescribing, we sought to understand a diverse set of perspectives on the determinants of inappropriate prescribing of antibiotics and NSAIDs in the Veterans Health Administration. METHODS: We conducted a qualitative study guided by the Consolidated Framework for Implementation Research and Theory of Planned Behavior. Semi-structured interviews were conducted with clinicians, stakeholders, and Veterans from March 1, 2021 through December 31, 2021 within the Veteran Affairs Health System in unscheduled outpatient settings at the Tennessee Valley Healthcare System. Stakeholders included clinical operations leadership and methodological experts. Audio-recorded interviews were transcribed and de-identified. Data coding and analysis were conducted by experienced qualitative methodologists adhering to the Consolidated Criteria for Reporting Qualitative Studies guidelines. Analysis was conducted using an iterative inductive/deductive process. RESULTS: We conducted semi-structured interviews with 66 participants: clinicians (N = 25), stakeholders (N = 24), and Veterans (N = 17). We identified six themes contributing to potentially inappropriate prescribing of antibiotics and NSAIDs: 1) Perceived versus actual Veterans expectations about prescribing; 2) the influence of a time-pressured clinical environment on prescribing stewardship; 3) Limited clinician knowledge, awareness, and willingness to use evidence-based care; 4) Prescriber uncertainties about the Veteran condition at the time of the clinical encounter; 5) Limited communication; and 6) Technology barriers of the electronic health record and patient portal. CONCLUSIONS: The diverse perspectives on prescribing underscore the need for interventions that recognize the detrimental impact of high workload on prescribing stewardship and the need to design interventions with the end-user in mind. This study revealed actionable themes that could be addressed to improve guideline concordant prescribing to enhance the quality of prescribing and to reduce patient harm.

Ventral intermediate nucleus of the thalamus, dentatorubrothalamic tract, and caudal zona incerta: stimulation of which structure provides ongoing tremor control in patients with essential tremor?

OBJECTIVE: Essential tremor (ET) is the most common movement disorder. Deep brain stimulation (DBS) targeting the ventral intermediate nucleus (VIM) is known to improve symptoms in patients with medication-resistant ET. However, the clinical effectiveness of VIM-DBS may vary, and other targets have been proposed. The authors aimed to investigate whether the same anatomical structure is responsible for tremor control both immediately after VIM-DBS and at later follow-up evaluations. METHODS: Of 68 electrodes from 41 patients with ET, the authors mapped the distances of the active contact from the VIM, the dentatorubrothalamic tract (DRTT), and the caudal zona incerta (cZI) and compared them using Friedman's ANOVA and the Wilcoxon signed-rank follow-up test. The same distances were also compared between the initially planned target and the final implantation site after intraoperative macrostimulation. Finally, the comparison among the three structures was repeated for 16 electrodes whose active contact was changed after a mean 37.5 months follow-up to improve tremor control. RESULTS: After lead implantation, the VIM was statistically significantly closer to the active contact than both the DRTT (p = 0.008) and cZI (p < 0.001). This result did not change if the target was moved based on intraoperative macrostimulation. At the last follow-up, the active contact distance from the VIM was always significantly less than that of the cZI (p < 0.001), but the distance from the DRTT was reduced and even less than the distance from the VIM. CONCLUSIONS: In patients receiving VIM-DBS, the VIM itself is the structure driving the anti-tremor effect and remains more effective than the cZI, even years after implantation. Nevertheless, the role of the DRTT may become more important over time and may help sustain the clinical efficacy when the habituation from the VIM stimulation ensues.

The emergence of spatial patterns for compartmental reaction kinetics coupled by two bulk diffusing species with comparable diffusivities.

Originating from the pioneering study of Alan Turing, the bifurcation analysis predicting spatial pattern formation from a spatially uniform state for diffusing morphogens or chemical species that interact through nonlinear reactions is a central problem in many chemical and biological systems. From a mathematical viewpoint, one key challenge with this theory for two component systems is that stable spatial patterns can typically only occur from a spatially uniform state when a slowly diffusing 'activator' species reacts with a much faster diffusing 'inhibitor' species. However, from a modelling perspective, this large diffusivity ratio requirement for pattern formation is often unrealistic in biological settings since different molecules tend to diffuse with similar rates in extracellular spaces. As a result, one key long-standing question is how to robustly obtain pattern formation in the biologically realistic case where the time scales for diffusion of the interacting species are comparable. For a coupled one-dimensional bulk-compartment theoretical model, we investigate the emergence of spatial patterns for the scenario where two bulk diffusing species with comparable diffusivities are coupled to nonlinear reactions that occur only in localized 'compartments', such as on the boundaries of a one-dimensional domain. The exchange between the bulk medium and the spatially localized compartments is modelled by a Robin boundary condition with certain binding rates. As regulated by these binding rates, we show for various specific nonlinearities that our one-dimensional coupled PDE-ODE model admits symmetry-breaking bifurcations, leading to linearly stable asymmetric steady-state patterns, even when the bulk diffusing species have equal diffusivities. Depending on the form of the nonlinear kinetics, oscillatory instabilities can also be triggered. Moreover, the analysis is extended to treat a periodic chain of compartments. This article is part of the theme issue 'New trends in pattern formation and nonlinear dynamics of extended systems'.

Deep brain stimulation for parkinson's disease induces spontaneous cortical hypersynchrony in extended motor and cognitive networks.

The mechanism of action of deep brain stimulation (DBS) to the basal ganglia for Parkinson's disease remains unclear. Studies have shown that DBS decreases pathological beta hypersynchrony between the basal ganglia and motor cortex. However, little is known about DBS's effects on long range corticocortical synchronization. Here, we use machine learning combined with graph theory to compare resting-state cortical connectivity between the off and on-stimulation states and to healthy controls. We found that turning DBS on increased high beta and gamma band synchrony (26 to 50 Hz) in a cortical circuit spanning the motor, occipitoparietal, middle temporal, and prefrontal cortices. The synchrony in this network was greater in DBS on relative to both DBS off and controls, with no significant difference between DBS off and controls. Turning DBS on also increased network efficiency and strength and subnetwork modularity relative to both DBS off and controls in the beta and gamma band. Thus, unlike DBS's subcortical normalization of pathological basal ganglia activity, it introduces greater synchrony relative to healthy controls in cortical circuitry that includes both motor and non-motor systems. This increased high beta/gamma synchronization may reflect compensatory mechanisms related to DBS's clinical benefits, as well as undesirable non-motor side effects.

A new paradigm for investigating real-world social behavior and its neural underpinnings.

Eye tracking and other behavioral measurements collected from patient-participants in their hospital rooms afford a unique opportunity to study natural behavior for basic and clinical translational research. We describe an immersive social and behavioral paradigm implemented in patients undergoing evaluation for surgical treatment of epilepsy, with electrodes implanted in the brain to determine the source of their seizures. Our studies entail collecting eye tracking with other behavioral and psychophysiological measurements from patient-participants during unscripted behavior, including social interactions with clinical staff, friends, and family in the hospital room. This approach affords a unique opportunity to study the neurobiology of natural social behavior, though it requires carefully addressing distinct logistical, technical, and ethical challenges. Collecting neurophysiological data synchronized to behavioral and psychophysiological measures helps us to study the relationship between behavior and physiology. Combining across these rich data sources while participants eat, read, converse with friends and family, etc., enables clinical-translational research aimed at understanding the participants' disorders and clinician-patient interactions, as well as basic research into natural, real-world behavior. We discuss data acquisition, quality control, annotation, and analysis pipelines that are required for our studies. We also discuss the clinical, logistical, and ethical and privacy considerations critical to working in the hospital setting.

Multiple adjoining word- and face-selective regions in ventral temporal cortex exhibit distinct dynamics.

The map of category-selectivity in human ventral temporal cortex (VTC) provides organizational constraints to models of object recognition. One important principle is lateral-medial response biases to stimuli that are typically viewed in the center or periphery of the visual field. However, little is known about the relative temporal dynamics and location of regions that respond preferentially to stimulus classes that are centrally viewed, like the face- and word-processing networks. Here, word- and face-selective regions within VTC were mapped using intracranial recordings from 36 patients. Partially overlapping, but also anatomically dissociable patches of face- and word-selectivity were found in VTC. In addition to canonical word-selective regions along the left posterior occipitotemporal sulcus, selectivity was also located medial and anterior to face-selective regions on the fusiform gyrus at the group level and within individual male and female subjects. These regions were replicated using 7 Tesla fMRI in healthy subjects. Left hemisphere word-selective regions preceded right hemisphere responses by 125 ms, potentially reflecting the left hemisphere bias for language; with no hemispheric difference in face-selective response latency. Word-selective regions along the posterior fusiform responded first, then spread medially and laterally, then anteriorally. Face-selective responses were first seen in posterior fusiform regions bilaterally, then proceeded anteriorally from there. For both words and faces, the relative delay between regions was longer than would be predicted by purely feedforward models of visual processing. The distinct time-courses of responses across these regions, and between hemispheres, suggest a complex and dynamic functional circuit supports face and word perception.SIGNIFICANCE STATEMENT:Representations of visual objects in the human brain have been shown to be organized by several principles, including whether those objects tend to be viewed centrally or peripherally in the visual field. However, it remains unclear how regions that process objects that are viewed centrally, like words and faces, are organized relative to one another. Here, invasive and non-invasive neuroimaging suggests there is a mosaic of regions in ventral temporal cortex that respond selectively to either words or faces. These regions display differences in the strength and timing of their responses, both within and between brain hemispheres, suggesting they play different roles in perception. These results illuminate extended, bilateral, and dynamic brain pathways that support face perception and reading.

Potentially avoidable interfacility transfers following reduced emergency department volumes due to COVID-19 "Safer-at-Home" orders.

OBJECTIVES: We sought to assess if a state-wide lockdown implemented due to COVID-19 was associated with increased odds of being a potentially avoidable transfer (PAT). METHODS: We conducted a retrospective observational analysis using hospital administrative data of interfacility ED-to-ED transfers to a single, quaternary care adult ED after "Safer at Home" orders were issued March 23rd, 2020 in [Blinded for submission]. Using the PAT classification to identify transfers rapidly discharged from the ED or hospital and may not require in-person care, we used a multivariable logistic regression model to examine the association of the lockdown order with odds of a transfer being a PAT. We compared the period January 1, 2018 to March 23, 2020 with March 24, 2020 to September 30, 2020, adjusting for seasonality, patient, and situational factors. RESULTS: There were 20,978 ED-to-ED transfers from during this period that were eligible and 4806 (23%) that met PAT criteria. While the first month post-lockdown saw a decrease in PATs (28%), this was not sustained. In the multivariable model there was a significant seasonal effect; May through September had the highest number of transfers as well as PATs. After adjusting for seasonality, the lockdown was not associated with PATs (adjusted odds ratio [aOR] 0.99, 95% CI 0.2, 5.2) and PATs decreased over time. CONCLUSIONS: We did not find an effect of the COVID-19 lockdown on PATs though there was a considerable seasonal effect and an overall downward trend in PATs over time.

Burn related injuries: a nationwide analysis of adult inter-facility transfers over a six-year period in the United States.

BACKGROUND: US emergency department (ED) visits for burns and factors associated with inter-facility transfer are unknown and described in this manuscript. METHODS: We conducted a retrospective analysis of burn-related injuries from 2009-2014 using the Nationwide Emergency Department Sample (NEDS), the largest sample of all-payer datasets. We included all ED visits by adults with a burn related ICD-9 code and used a weighted multivariable logistic regression model to predict transfer adjusting for covariates. RESULTS: Between 2009-2014, 3,047,701 (0.4%) ED visits were for burn related injuries. A total of 108,583 (3.6%) burn visits resulted in inter-facility transfers occurred during the study period, representing approximately 18,097 inter-facility transfers per year. Burns with greater than 10% total body surface area (TBSA) resulted in a 10-fold increase in the probability of transfer, compared to burn visits with less than 10% TBSA burns. In the multivariable model, male sex (adjusted odds ratio [aOR] 2.4, 95% CI 2.3-2.6) was associated with increased odds of transfer. Older adults were more likely to be transferred compared to all other age groups. Odds of transfer were increased for Medicare and self-pay patients (vs. private pay) but there was a significant interaction of sex and payer and the effect of insurance varied by sex. CONCLUSIONS: In a national sample of ED visits, burn visits were more than twice as likely to have an inter-facility transfer compared to the general ED patient population. Substantial sex differences exist in U.S. EDs that impact the location of care for patients with burn injuries and warrants further investigation.

Implementation of Telehealth for Psychiatric Care in VA Emergency Departments and Urgent Care Clinics.

Objective: To conduct a mixed-methods evaluation of an emergency telehealth intervention in unscheduled settings (emergency department [ED] and urgent care clinic [UCC]) within the Veterans Health Administration (VHA). Materials and Methods: We used the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to conduct a mixed-methods evaluation of a novel telehealth program implemented in the VHA (Hospital System) in March 2020. We compared the 3 months preimplementation (December 1, 2019 through February 29, 2020) with the 3 months postimplementation (April 1, 2020 through June 30, 2020), then followed sustainability through January 31, 2021. Qualitative data were obtained from surveys and semistructured interviews of staff and providers and analyzed with thematic analysis. Results: Patient demographics and dispositions were similar pre- and postimplementation. The telemental health intervention was used in 319 (83%) unscheduled mental health consultations in the postimplementation phase. After implementation, we did not detect adverse trends in length of stay, 7-day revisits, or 30-day mortality. Use remained high with 82% (n = 1,010) of all unscheduled mental health consultations performed by telemental health in the sustainability phase. Staff and clinician interviews identified the following themes in the use of telemental health: (1) enhanced efficiency without compromising quality and safety, (2) initial apprehension, (3) the COVID-19 pandemic, and (4) sustainability after resolution of the COVID-19 pandemic. Conclusions: This mixed-methods evaluation of unscheduled telemental health implementation found that its use was feasible, did not impact the safety and efficacy of mental health consultations, and was highly acceptable and sustainable in unscheduled settings.

Seroprevalence of SARS-CoV-2 Among Frontline Healthcare Personnel During the First Month of Caring for Patients With COVID-19-Nashville, Tennessee.

Among 249 healthcare personnel who worked in hospital units with COVID-19 patients for 1 month, 19 (7.6%) tested positive for SARS-CoV-2 antibodies. Only 11 (57.9%) of the 19 personnel with positive serology reported symptoms of a prior illness, suggesting asymptomatic healthcare personnel could be an important source of SARS-CoV-2 transmission.

Quorum-sensing induced transitions between bistable steady-states for a cell-bulk ODE-PDE model with lux intracellular kinetics.

Intercellular signaling and communication are used by bacteria to regulate a variety of behaviors. In a type of cell-cell communication known as quorum sensing (QS), which is mediated by a diffusible signaling molecule called an autoinducer, bacteria can undergo sudden changes in their behavior at a colony-wide level when the density of cells exceeds a critical threshold. In mathematical models of QS behavior, these changes can include the switch-like emergence of intracellular oscillations through a Hopf bifurcation, or sudden transitions between bistable steady-states as a result of a saddle-node bifurcation of equilibria. As an example of this latter type of QS transition, we formulate and analyze a cell-bulk ODE-PDE model in a 2-D spatial domain that incorporates the prototypical LuxI/LuxR QS system for a collection of stationary bacterial cells, as modeled by small circular disks of a common radius with a cell membrane that is permeable only to the autoinducer. By using the method of matched asymptotic expansions, it is shown that the steady-state solutions for the cell-bulk model exhibit a saddle-node bifurcation structure. The linear stability of these branches of equilibria are determined from the analysis of a nonlinear matrix eigenvalue problem, called the globally coupled eigenvalue problem. The key role on QS behavior of a bulk degradation of the autoinducer field, which arises from either a Robin boundary condition on the domain boundary or from a constant bulk decay, is highlighted. With bulk degradation, it is shown analytically that the effect of coupling identical bacterial cells to the bulk autoinducer diffusion field is to create an effective bifurcation parameter that depends on the population of the colony, the bulk diffusivity, the membrane permeabilities, and the cell radius. QS transitions occur when this effective parameter passes through a saddle-node bifurcation point of the Lux ODE kinetics for an isolated cell. In the limit of a large but finite bulk diffusivity, it is shown that the cell-bulk system is well-approximated by a simpler ODE-DAE system. This reduced system, which is used to study the effect of cell location on QS behavior, is easily implemented for a large number of cells. Predictions from the asymptotic theory for QS transitions between bistable states are favorably compared with full numerical solutions of the cell-bulk ODE-PDE system.

Inter-facility transfer for patients with acute large vessel occlusion stroke receiving mechanical thrombectomy.

BACKGROUND: Mechanical thrombectomy (MT) is the preferred treatment for large vessel occlusion (LVO) ischemic stroke, and neurological outcome improves with earlier treatment. Patients with LVO frequently require inter-facility transfer to access MT but delays at transferring EDs may worsen neurological outcomes. METHODS: We conducted a retrospective observational study to evaluate the association of time spent and transferring EDs with 90-day neurological outcomes among patients who were transferred from an outside ED to the Comprehensive Stroke Center and received MT. Time intervals at transferring EDs were examined descriptively, and multivariable logistic regression modeling was used to examine the association of time spent in the ED with 90-day neurologic outcome (modified Rankin Scale; good ≤2, poor ≥3). RESULTS: Among 111 patients transferred to a stroke center for MT between 2013 and 2017, the time between CT scan and the stroke center transfer request was 44 (IQR 27,65) minutes, or 47% of transferring ED total duration. Duration at the transferring ED was not significantly associated with 90-day outcome. Only NIH Stroke Scale at the time of arrival to the stroke center was associated with good 90-day neurological outcome (aOR 0.84, 95%CI 0.77, 0.92, p < 0.0001). CONCLUSIONS: Among LVO patients transferred for MT, the total time spent at transferring EDs was not associated with 90-day neurologic outcome in patients with LVO. As therapies and their associated effectiveness improves over time, future investigations should further characterize the time between CT and transfer request to identify targets for process improvement and clinical outcomes.

A Time and Motion Analysis of Nursing Workload and Electronic Health Record Use in the Emergency Department.

INTRODUCTION: The use of an electronic health record may create unanticipated consequences for emergency care delivery. We sought to describe emergency department nursing task distribution and the use of the electronic health record. METHODS: This was a prospective observational study of nurses in the emergency department using a time-and-motion methodology. Three trained research assistants conducted 1:1 observations between March and September 2019. Nurse tasks were classified into 6 established categories: electronic health record, direct/indirect patient care, communication, personal time, and other. Nurses' perceived workload was assessed using the National Aeronautics and Space Administration (NASA) Task Load Index. RESULTS: Twenty-three observations were conducted over 46 hours. Overall, nurses spent 27% of their time on electronic health record tasks, 25% on direct patient care, 17% on personal time, 15% on indirect patient care, and 6% on communication. During morning (7 am-12 pm) and afternoon shifts (12 pm-3 pm), the use of the health record was the most commonly performed task, whereas indirect patient care was the task most performed during evening shifts (3 pm-12 pm). Using the National Aeronautics and Space Administration (NASA) Task Load Index, nurses reported an increase in mental demand and effort during afternoon shifts compared with morning shifts. DISCUSSION: We observed that emergency nurses spent more time using the electronic health record as compared to other tasks. Increased usability of the electronic health record, particularly during high occupancy periods, may be a target for improvement.

Association between increased theta cordance and early response to ECT in late-life depression.

OBJECTIVES: More than half of patients with major depression who do not respond to initial antidepressants become treatment resistant (TRD), and while electroconvulsive therapy (ECT) is effective, it involves anesthesia and other medical risks that are of concern in geriatric patients. Past studies have suggested that theta cordance (TC), a correlate of cerebral metabolism measured by electroencephalography, could guide treatment decisions related to patient selection and engagement of the therapeutic target. METHODS/DESIGN: Eight patients with late-life treatment resistant depression (LL-TRD) underwent magnetoencephalography (MEG) at baseline and following seven sessions of ECT. We tested whether the mean and regional frontal cortex TC were able to differentiate early responders from nonresponders. RESULTS: Five patients whose depression severity decreased by >30% after seven sessions were considered early responders. We found no baseline differences in mean frontal TC between early responders compared with nonresponders, but early responders exhibited a significant increase in TC following ECT. Further, we found that compared with nonresponders, early responders exhibited a greater change in TC specifically within the right prefrontal cortex. CONCLUSIONS: These results support the hypothesis that increases in frontal TC are associated with antidepressant response. We expand on previous findings by showing that this change is specific to the right prefrontal cortex. Validation of this neural marker could contribute to improved ECT outcomes, by informing early clinical decisions about the acute efficacy of this treatment.

Quality of physician care coordination during inter-facility transfer for cardiac arrest patients.

AIM: We sought to evaluate whether the quality of coordination between physicians transferring comatose cardiac arrest survivors to a high-volume cardiac arrest center for targeted temperature management (TTM) was associated with timeliness of care. METHODS: We conducted a retrospective analysis of inter-facility transfers to Vanderbilt University Medical Center for TTM between October 2016 and October 2018. We examined the relationship between Relational Coordination (RC) - a measure of communication and relationship quality - during phone conversations between transferring physicians and time-to-acceptance. RESULTS: We identified 18 patients meeting criteria. TTM was initiated or continued in 72%, and in-hospital mortality was 75%. Median time-to-acceptance was 2.77 (interquartile range [IQR] 2.0, 4.1) minutes, and duration of calls was 3.95 (IQR 2.7, 5.2) minutes. Interrater reliability for overall RC was high (rho = 0.87). The correlation between RC and the time-to-acceptance was significant in univariate analyses (adjusted relative risk = 0.96, 95%CI 0.93, 1.0, p = 0.05). Secondary analyses did not find a significant relationship between RC and timeliness measures. CONCLUSION: In this sample of patients transferred for TTM, we found that RC as a measure of care coordination, was reliable. Higher quality care coordination for cardiac arrest survivors was associated with faster physician acceptance. Future work using a larger cohort should explore if higher RC among a broader set of stakeholders (physicians, EMS, families, etc.) is associated with timeliness measures after adjusting for other factors, to better understand how the quality of care coordination impacts timeliness of care and patient outcomes.

Implementation of a pilot electronic stroke outcome reporting system for emergency care providers.

INTRODUCTION: Emergency department (ED) providers and clinicians find that feedback on acute stroke patients is rewarding, valuable to professional development, and helpful for practice improvement. However, feedback is rarely provided, particularly for patients with stroke. Here we describe the implementation of an electronic stroke outcome reporting tool for providing feedback to ED providers. METHODS: We sought to evaluate the implementation of an electronic stroke outcome reporting tool at 3 Nashville hospitals. ED staff and providers voluntarily enrolled to receive de-identified reports of clinical (e.g., survival) and operational (e.g., timeliness) outcomes of patients with acute ischemic stroke and were offered free continuing education (CE) credits for following up on patients. We evaluated the implementation of this system through a descriptive evaluation of the feasibility, use of the system and CE, and perceived usefulness of the reports. RESULTS: We enrolled 232 ED providers, including 107 (46%) nurses and 57 (25%) attending physicians and transmitted 55 stroke outcome reports. Reports took 30-60 min to compile and were viewed by a mean of 2.6 (SD 1.5) registered providers; 97.1% found the reports useful and 36.2% reported likelihood to change practice. Continuing education credits were initiated or claimed by 22 providers. CONCLUSIONS: An electronic stroke outcome reporting tool was used and liked by ED staff and providers but the time to compile the reports is the major challenge to scalability. Future research should address the effectiveness of this reporting tool as a source of provider education and its impact on clinical and operational outcomes.

Potentially avoidable inter-facility transfer from Veterans Health Administration emergency departments: A cohort study.

BACKGROUND: Inter-facility transfer is an important strategy for improving access to specialized health services, but transfers are complicated by over-triage, under-triage, travel burdens, and costs. The purpose of this study is to describe ED-based inter-facility transfer practices within the Veterans Health Administration (VHA) and to estimate the proportion of potentially avoidable transfers. METHODS: This observational cohort study included all patients treated in VHA EDs between 2012 and 2014 who were transferred to another VHA hospital. Potentially avoidable transfers were defined as patients who were either discharged from the receiving ED or admitted to the receiving hospital for ≤1 day without having an invasive procedure performed. We conducted facility- and diagnosis-level analyses to identify subgroups of patients for whom potentially avoidable transfers had increased prevalence. RESULTS: Of 6,173,189 ED visits during the 3-year study period, 18,852 (0.3%) were transferred from one VHA ED to another VHA facility. Rural residents were transferred three times as often as urban residents (0.6% vs. 0.2%, p < 0.001), and 22.8% of all VHA-to-VHA transfers were potentially avoidable transfers. The 3 disease categories most commonly associated with inter-facility transfer were mental health (34%), cardiac (12%), and digestive diagnoses (9%). CONCLUSIONS: VHA inter-facility transfer is commonly performed for mental health and cardiac evaluation, particularly for patients in rural settings. The proportion that are potentially avoidable is small. Future work should focus on improving capabilities to provide specialty evaluation locally for these conditions, possibly using telehealth solutions.

Breaking down walls: a qualitative evaluation of perceived emergency department delays for patients transferred with ST-elevation myocardial infarction.

BACKGROUND: Despite regionalization efforts, delays at transferring hospitals for patients transferred with ST-elevation myocardial infarction (STEMI) for primary percutaneous coronary intervention (PCI) persist. These delays primarily occur in the emergency department (ED), and are associated with increased mortality. We sought to use qualitative methods to understand staff and clinician perceptions underlying these delays. METHODS: We conducted semi-structured interviews at 3 EDs that routinely transfer STEMI patients to identify staff perceptions of delays and potential interventions. Interviews were recorded, transcribed, coded, and analyzed using an iterative inductive-deductive approach to build and refine a list of themes and subthemes, and identify supporting quotes. RESULTS: We interviewed 43 ED staff (staff, nurses, and physicians) and identified 3 major themes influencing inter-facility transfers of STEMI patients: 1) Processes, 2) Communication; and 3) Resources. Standardized processes (i.e., protocols) reduce uncertainty and can mobilize resources. Use of performance benchmarks can motivate staff but are frequently focused on internal, not inter-organizational performance. Direct use ofcommunication between ORGANIZATIONS can process uncertainty and expedite care. Record sharing and regular post-transfer communication could provide opportunities to discuss and learn from delays and increase professional satisfaction. Finally, characteristics of resources that enhanced their capacity, clarity, experience, and reliability were identified as contributing to timely transfers. CONCLUSIONS: Processes, communication, and resources were identified as modifying inter-facility transfer timeliness. Potential quality improvement strategies include ongoing updates of protocols within and between organizations to account for changes, enhanced post-transfer feedback between organizations, shared medical records, and designated roles for coordination.

Quantitatively validating the efficacy of artifact suppression techniques to study the cortical consequences of deep brain stimulation with magnetoencephalography.

Deep brain stimulation (DBS) is an established and effective treatment for several movement disorders and is being developed to treat a host of neuropsychiatric disorders including epilepsy, chronic pain, obsessive compulsive disorder, and depression. However, the neural mechanisms through which DBS produces therapeutic benefits, and in some cases unwanted side effects, in these disorders are only partially understood. Non-invasive neuroimaging techniques that can assess the neural effects of active stimulation are important for advancing our understanding of the neural basis of DBS therapy. Magnetoencephalography (MEG) is a safe, passive imaging modality with relatively high spatiotemporal resolution, which makes it a potentially powerful method for examining the cortical network effects of DBS. However, the degree to which magnetic artifacts produced by stimulation and the associated hardware can be suppressed from MEG data, and the comparability between signals measured during DBS-on and DBS-off conditions, have not been fully quantified. The present study used machine learning methods in conjunction with a visual perception task, which should be relatively unaffected by DBS, to quantify how well neural data can be salvaged from artifact contamination introduced by DBS and how comparable DBS-on and DBS-off data are after artifact removal. Machine learning also allowed us to determine whether the spatiotemporal pattern of neural activity recorded during stimulation are comparable to those recorded when stimulation is off. The spatiotemporal patterns of visually evoked neural fields could be accurately classified in all 8 patients with DBS implants during both DBS-on and DBS-off conditions and performed comparably across those two conditions. Further, the classification accuracy for classifiers trained on the spatiotemporal patterns evoked during DBS-on trials and applied to DBS-off trials, and vice versa, were similar to that of the classifiers trained and tested on either trial type, demonstrating the comparability of these patterns across conditions. Together, these results demonstrate the ability of MEG preprocessing techniques, like temporal signal space separation, to salvage neural data from recordings contaminated with DBS artifacts and validate MEG as a powerful tool to study the cortical consequences of DBS.