Design and implementation of a temporary emergency department-intensive care unit patient care model during the COVID-19 pandemic surge.

The ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in rapid surges of critically ill patients infected with coronavirus disease 2019 (COVID-19) pneumonia presenting to the emergency department (ED) and requiring ICU admission nationwide. Despite adaptations in critical care personnel staffing, bed availability and supply provision, many inpatient ICUs have become acutely crowded, leading to boarding of critically ill patients with COVID-19 and other diseases in the ED. To address this scenario at our urban, safety net, tertiary care institution in the spring of 2020, we designed and implemented a temporary "emergency department-intensive care unit" (ED-ICU) patient care service. Critical care-trained emergency physicians took call and came into the hospital overnight/on weekends to provide bedside treatment to admitted ICU patients boarding for prolonged periods in our ED. In this manuscript, we describe the creation and execution of the ED-ICU service and the characteristics and management of the patients who received care under this model.

Too Many Patients A Framework to Guide Statewide Allocation of Scarce Mechanical Ventilation During Disasters.

The threat of a catastrophic public health emergency causing life-threatening illness or injury on a massive scale has prompted extensive federal, state, and local preparedness efforts. Modeling studies suggest that an influenza pandemic similar to that of 1918 would require ICU and mechanical ventilation capacity that is significantly greater than what is available. Several groups have published recommendations for allocating life-support measures during a public health emergency. Because there are multiple ethically permissible approaches to allocating scarce life-sustaining resources and because the public will bear the consequences of these decisions, knowledge of public perspectives and moral points of reference on these issues is critical. Here we describe a critical care disaster resource allocation framework developed following a statewide community engagement process in Maryland. It is intended to assist hospitals and public health agencies in their independent and coordinated response to an officially declared catastrophic health emergency in which demand for mechanical ventilators exceeds the capabilities of all surge response efforts and in which there has been an executive order to implement scarce resource allocation procedures. The framework, built on a basic scoring system with modifications for specific considerations, also creates an opportunity for the legal community to review existing laws and liability protections in light of a specific disaster response process.

The Opioid Epidemic in the United States.

There is an epidemic of opioid abuse. This article discusses the history of opioid use. Abusers of opioids are at great risk of harm. There have been increasing legislative efforts to curb this abuse and we present a review of the current state of these laws. Naloxone has made a profound impact in the care of these patients if they present for medical care early enough. This paper discusses naloxone pharmacodynamics, its use in the medical setting, and how its use is now being expanded to include nontraditional providers with take home naloxone programs.

Predicting Which Patients will Likely Benefit from Subglottic Secretion Drainage Endotracheal Tubes: A Retrospective Study.

BACKGROUND: Subglottic secretion drainage endotracheal tubes (SSD ETTs) have been shown to decrease ventilator-associated pneumonia and are recommended for patients intubated > 48 h or 72 h. However, it is difficult to determine which patients will be intubated > 48 h or 72 h at the time of intubation. OBJECTIVE: We attempted to determine which patient characteristics were associated with intubations ≥ 48 h or 72 h in order to guide proper placement of SSD ETTs. METHODS: The medical records of 2,159 ventilated patients at a single institution were retrospectively reviewed for intubation duration, age, sex, race, body mass index, weight, intubation reason, whether the intubation was emergent, operative status, intensive care unit (ICU) diagnosis, intubation location, ICU location, comorbidities (e.g., congestive heart failure, chronic obstructive pulmonary disorder, coronary artery disease, dementia, and liver disease), acute kidney injury (AKI), and chronic renal injury. A multivariate regression analysis was then performed with all reliable data. RESULTS: The following were associated with intubation ≥ 48 h: neuroscience critical care unit (NCCU) admission (risk ratio [RR] = 1.85; 95% confidence interval [CI] 1.34-2.56), emergent intubation (RR = 1.97; 95% 1.28-3.03), comorbid dementia (RR = 2.31; 95% 1.28-4.18), nonoperative intubation (RR = 1.77; 95% 1.28-4.18), and AKI (RR = 3.32; 95% 2.56-4.3). The following were independently associated with intubation ≥ 72 h: NCCU admission (RR = 2.2; 95 CI 1.57-3.08), nonoperative intubation (RR = 3.38; 95% CI 2.63-4.35), comorbid dementia (RR = 3.03; 95% CI 1.67-5.48), and AKI (RR = 3.11; 95% CI 2.38-4.07). CONCLUSION: Nonoperative intubation, emergent intubation, history of dementia, admission to NCCU and AKI all appear to be independently associated with increased RRs for either ≥ 48 h or 72 h of ventilation.

Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.

BACKGROUND: Google Flu Trends (GFT) is a novel Internet-based influenza surveillance system that uses search engine query data to estimate influenza activity and is available in near real time. This study assesses the temporal correlation of city GFT data to cases of influenza and standard crowding indices from an inner-city emergency department (ED). METHODS: This study was performed during a 21-month period (from January 2009 through October 2010) at an urban academic hospital with physically and administratively separate adult and pediatric EDs. We collected weekly data from GFT for Baltimore, Maryland; ED Centers for Disease Control and Prevention-reported standardized influenzalike illness (ILI) data; laboratory-confirmed influenza data; and ED crowding indices (patient volume, number of patients who left without being seen, waiting room time, and length of stay for admitted and discharged patients). Pediatric and adult data were analyzed separately using cross-correlation with GFT. RESULTS: GFT correlated with both number of positive influenza test results (adult ED, r = 0.876; pediatric ED, r = 0.718) and number of ED patients presenting with ILI (adult ED, r = 0.885; pediatric ED, r = 0.652). Pediatric but not adult crowding measures, such as total ED volume (r = 0.649) and leaving without being seen (r = 0.641), also had good correlation with GFT. Adult crowding measures for low-acuity patients, such as waiting room time (r = 0.421) and length of stay for discharged patients (r = 0.548), had moderate correlation with GFT. CONCLUSIONS: City-level GFT shows strong correlation with influenza cases and ED ILI visits, validating its use as an ED surveillance tool. GFT correlated with several pediatric ED crowding measures and those for low-acuity adult patients.

The importance of a proper against-medical-advice (AMA) discharge: how signing out AMA may create significant liability protection for providers.

BACKGROUND: Every year, patients leave the Emergency Department against medical advice (AMA) and before an adequate evaluation can be performed. It is well known that many of these patients are at risk of subsequent complications. OBJECTIVE: The goal of this article is to explain the potential legal protections that may be created from a proper AMA discharge. DISCUSSION: In this article, the authors review the steps that need to be taken when performing an AMA discharge, including an assessment of capacity, proper documentation, and adequate disclosure. The authors then review the potential legal protections that can result from a properly documented and performed discharge. Among these protections are: proof that the provider's duty to the patient ended with discharge and that the patient assumed the risk of a subsequent complication. CONCLUSION: The authors conclude that a properly executed discharge can provide significant legal protection from liability risks.

ICU triage: the potential legal liability of withdrawing ICU care during a catastrophic event.

In the event of a catastrophic disaster, healthcare resources may be completely overwhelmed. To address this, the federal Agency for Healthcare Research and Quality has recommended using "crisis standards of care"during such an event. These standards would recommend allocating scarce medical resources to do the greatest good for the greatest number of patients. In a dire catastrophic event, such standards may include the allocation of intensive care unit (ICU) resources to maximize patient survival. Triage protocols that seek to efficiently allocate ICU resources during a disaster have been reviewed by the Institute of Medicine. Such protocols suggest the exclusion of patients with high mortality or high resource requirements from ICU care to do the most good for the greatest number of patients. In extreme circumstances, these protocols recommend withdrawing ICU resources from sicker patients in favor of more salvageable patients. However, if providers were to follow the earlier protocols in a disaster and withdraw and reallocate ICU care, criminal or civil liability could result. Two legal solutions to avoid this potential for liability have been suggested in this article.

Significant reduction of laboratory specimen labeling errors by implementation of an electronic ordering system paired with a bar-code specimen labeling process.

STUDY OBJECTIVE: We measure the rate of emergency department (ED) specimen processing error reduction after implementation of an electronic physician order entry system paired with a bar-coded specimen labeling process. METHODS: A cohort pre- and postintervention study was conducted in the ED during a 61-month period ending September 2008 in a large urban teaching hospital. Historically, laboratory order and requisition processing was done by hand. Interventions included implementing an ED-specific electronic documentation and information system, which included physician order entry with patient verification through bar-coded wristbands and bar-coded specimen labels. The main outcome measure was processing error rate, defined as unlabeled/mislabeled/wrong patient specimen or requisition. Pre- and postimplementation data were tabulated monthly and compared in aggregate by χ(2) test. The contribution of ED error to total institution specimen error was also calculated. RESULTS: Of the 724,465 specimens collected preintervention, 3,007 (0.42%) were recorded as errors versus 379 errors (0.11%) of 334,039 specimens collected postintervention, which represents a 74% relative and 0.31% absolute decrease (95% confidence interval 0.28% to 0.32%). The proportion of institutional errors contributed by the ED was reduced from 20.4% to 11.4%, a 44% relative and 9.0% absolute reduction (95% confidence interval 7.7% to 10.3%). Subanalysis revealed that the majority of continued errors occur when the physician order entry/bar-code system could not be used (eg, blood bank or surgical pathology specimens). CONCLUSION: Combining an electronic physician order entry with bar-coded patient verification and electronic documentation and information system-generated specimen labels can significantly reduce ED specimen-related errors, with sizable influence on institutional specimen-related errors. Continued use of hand labeling and processing for special specimens appears inadvisable, though the cost-effectiveness of this intervention has not been established.

New legal protections for reporting patient errors under the Patient Safety and Quality Improvement Act: a review of the medical literature and analysis.

OBJECTIVES: The Patient Safety and Quality Improvement Act (PSQIA) of 2005, inspired by the Institute of Medicine's (IOM) 1999 report To Err Is Human, affords federal protections in exchange for error disclosures. However, the PSQIA is unlikely to be effective unless frontline providers are aware of its existence. In this study, we assessed the quantity of publications regarding this protection within the medical literature. METHODS: Four reviewers independently evaluated 2060 safety-related articles, identified through a PubMed database search, to determine whether they discussed actual (or proposed) national legal protections for voluntary reporting of medical errors. Using a reviewer method based on a standard Delphi consensus model, agreement was achieved if at least 3 of 4 reviewers agreed with the decision. RESULTS: Articles were separated into pre-IOM report (1990-1999) and post-IOM report (2000-2008) literature. No articles were determined to be "on topic" in the pre-IOM period (n = 624). Twenty-seven articles were considered "on topic" in the post-IOM period (n = 1436), constituting 1.8% of the period total (95% confidence interval, 1.2%-2.6%). Of the 27 on topic articles, 7 appeared in practice-related journals, whereas the remaining 20 were in journals with a health policy or health care administration focus. CONCLUSIONS: Few published studies were found in clinical journals describing the PSQIA. This raises serious concerns and indicates that physicians may not be aware of the new legal protections afforded for error disclosure. If the health care system is to realize the benefits of error reporting systems, greater education of physicians regarding their legal protections may be needed.

Disaster planning: potential effects of an influenza pandemic on community healthcare resources.

The federal government states that local communities are primarily responsible for public health planning and implementation during a severe pandemic. Accordingly, an assessment of the current healthcare capabilities in these communities and planning for deficiencies is required. This article assesses the impact and healthcare capabilities of a specific model local community in a mid-Atlantic state. Two statistical models demonstrate the likely impact of both mild and severe pandemics on local healthcare resources. Both models reveal significant deficiencies that local communities may face. In the event of a severe 1918-type pandemic influenza or a mild influenza pandemic, many local community healthcare systems will likely have inadequate resources to respond to the crisis; such a healthcare emergency would likely overwhelm local community resources and current public health practices. Proper planning at the community level is critical for being truly prepared for such a public health emergency.