Lessons Learned From Rapid Deployment of 100% Mortality Review for Patients With COVID-19 Across a Health System.

Mortality review is one approach to systematically examine delivery of care and identify areas for improvement. Health system leaders sought to ensure hospitals were adapting to the rapidly changing medical guidance for COVID-19 and delivering high-quality care. Thus, all patients with a COVID-19 diagnosis within the 6-hospital system who died between March and July 2020 were reviewed within 72 hours. Concerns for preventability advanced review to level 2 (content experts) or 3 (hospital leadership). Reviews included available autopsy and cardiac arrest data. Overall health system mortality for COVID-19 patient admissions was 12.5% and mortality for mechanically ventilated patients was 34.4%. Significant differences in mortality rates were observed among hospitals due to demographic variations in patient populations at hospitals. Mortality reviews resulted in the dissemination of evolving knowledge among sites using an electronic medical record order set, implementation of proning teams, and development of checklists for converting COVID-19 floors and units.

Operational Recommendations for Scarce Resource Allocation in a Public Health Crisis.

The coronavirus disease 2019 pandemic may require rationing of various medical resources if demand exceeds supply. Theoretical frameworks for resource allocation have provided much needed ethical guidance, but hospitals still need to address objective practicalities and legal vetting to operationalize scarce resource allocation schemata. To develop operational scarce resource allocation processes for public health catastrophes, including the coronavirus disease 2019 pandemic, five health systems in Maryland formed a consortium-with diverse expertise and representation-representing more than half of all hospitals in the state. Our efforts built on a prior statewide community engagement process that determined the values and moral reference points of citizens and health-care professionals regarding the allocation of ventilators during a public health catastrophe. Through a partnership of health systems, we developed a scarce resource allocation framework informed by citizens' values and by general expert consensus. Allocation schema for mechanical ventilators, ICU resources, blood components, novel therapeutics, extracorporeal membrane oxygenation, and renal replacement therapies were developed. Creating operational algorithms for each resource posed unique challenges; each resource's varying nature and underlying data on benefit prevented any single algorithm from being universally applicable. The development of scarce resource allocation processes must be iterative, legally vetted, and tested. We offer our processes to assist other regions that may be faced with the challenge of rationing health-care resources during public health catastrophes.

Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study.

BACKGROUND: Risk factors for progression of coronavirus disease 2019 (COVID-19) to severe disease or death are underexplored in U.S. cohorts. OBJECTIVE: To determine the factors on hospital admission that are predictive of severe disease or death from COVID-19. DESIGN: Retrospective cohort analysis. SETTING: Five hospitals in the Maryland and Washington, DC, area. PATIENTS: 832 consecutive COVID-19 admissions from 4 March to 24 April 2020, with follow-up through 27 June 2020. MEASUREMENTS: Patient trajectories and outcomes, categorized by using the World Health Organization COVID-19 disease severity scale. Primary outcomes were death and a composite of severe disease or death. RESULTS: Median patient age was 64 years (range, 1 to 108 years); 47% were women, 40% were Black, 16% were Latinx, and 21% were nursing home residents. Among all patients, 131 (16%) died and 694 (83%) were discharged (523 [63%] had mild to moderate disease and 171 [20%] had severe disease). Of deaths, 66 (50%) were nursing home residents. Of 787 patients admitted with mild to moderate disease, 302 (38%) progressed to severe disease or death: 181 (60%) by day 2 and 238 (79%) by day 4. Patients had markedly different probabilities of disease progression on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms, respiratory rate, fever, absolute lymphocyte count, hypoalbuminemia, troponin level, and C-reactive protein level and the interactions among these factors. Using only factors present on admission, a model to predict in-hospital disease progression had an area under the curve of 0.85, 0.79, and 0.79 at days 2, 4, and 7, respectively. LIMITATION: The study was done in a single health care system. CONCLUSION: A combination of demographic and clinical variables is strongly associated with severe COVID-19 disease or death and their early onset. The COVID-19 Inpatient Risk Calculator (CIRC), using factors present on admission, can inform clinical and resource allocation decisions. PRIMARY FUNDING SOURCE: Hopkins inHealth and COVID-19 Administrative Supplement for the HHS Region 3 Treatment Center from the Office of the Assistant Secretary for Preparedness and Response.

A Model for the Departmental Quality Management Infrastructure Within an Academic Health System.

As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in this field. However, a robust quality management infrastructure is needed to support these efforts. In this context, quality and safety are often described at the executive level and at the unit level. Yet, the role of individual departments, which are often the dominant functional unit within a hospital, in realizing health system quality and safety goals has not been addressed. Developing a departmental quality management infrastructure is challenging because departments are diverse in composition, size, resources, and needs.In this article, the authors describe the model of departmental quality management infrastructure that has been implemented at the Johns Hopkins Hospital. This model leverages the fractal approach, linking departments horizontally to support peer and organizational learning and connecting departments vertically to support accountability to the hospital, health system, and board of trustees. This model also provides both structure and flexibility to meet individual departmental needs, recognizing that independence and interdependence are needed for large academic medical centers. The authors describe the structure, function, and support system for this model as well as the practical and essential steps for its implementation. They also provide examples of its early success.

Public Health Information Delivery in the Emergency Department: Analysis of a Kiosk-Based Program.

BACKGROUND: Because more than one-third of the U.S. population visits an emergency department (ED) any given year, public health interventions in the ED can have major population-level impacts. OBJECTIVES: We determined ED patients' interest in receiving information via kiosk on common, chronic conditions for which education and preventive screening could offer public health benefit and to assess what topical information patients are interested in receiving. METHODS: This is a secondary analysis of survey data from an ED pilot program December 2011 to April 2012. Main outcome measures were patients' interests in receiving information on health topics via kiosk module. RESULTS: More than half of the 4351 patients indicated interest in receiving information on at least one health topic, including high blood pressure (30%), depression (21%), diabetes (18%), sexually transmitted diseases (11%), drug abuse (6%), and physical abuse (3%). African-American patients were more likely to be interested in receiving information on high blood pressure (odds ratio [OR] 2.7, 95% confidence interval [95% CI] 2.2-3.2]), depression (OR 1.3, 95% CI 1.1-1.6), diabetes/sugar (OR 2.2, 95% CI 1.8-2.8), drug abuse (OR 1.4, 95% CI 1.0-1.9), and sexually transmitted diseases (OR 2.6, 95% CI 1.9-3.7). Participants >55 years of age were more likely to desire information on high blood pressure and diabetes (age 55-64 years: OR 4.0, 95% CI 3.1-5.1; age >64 years: OR 4.4, 95% CI 3.2-6.2). Patients who were interested in receiving public health information were more likely to be older, African American, and male (p < 0.05). CONCLUSIONS: Interest in obtaining kiosk-delivered education on hypertension predominated. Kiosks are versatile tools that could be used in ED settings to provide health education services.

Low high-sensitivity troponin I and zero coronary artery calcium score identifies coronary CT angiography candidates in whom further testing could be avoided.

RATIONALE AND OBJECTIVES: Pilot study to determine whether among subjects receiving coronary computed tomography angiography (CTA), the combination of high-sensitivity troponin I (hsTnI) and coronary artery calcium score (CACS) identifies a low-risk population in whom CTA might be avoided. MATERIALS AND METHODS: A cross-sectional study of 314 symptomatic patients receiving CTA as part of their acute coronary syndrome evaluation was conducted. hsTnI was measured with Abbott Laboratories' hsTnI assay. CACSs were calculated via the Agatston method. Patients were followed for at least 30 days after discharge for the occurrence of major adverse cardiac events (MACEs; all-cause mortality, acute coronary syndrome, and revascularization). RESULTS: Of 314 subjects studied, 213 (67.8%) had no coronary artery stenosis, and 67 (21.3%), 28 (8.9%), and 6 (1.9%) had maximal coronary artery stenosis of 1%-49%, 50%-69%, and 70% or greater, respectively. All MACEs occurred during index hospitalization and include one myocardial infarction and four revascularizations. Sixty-two percent (189/307) of subjects had zero CACS, and 24% (76/314) of subjects had undetected hsTnI. No subjects with undetectable hsTnI or zero CACS had an MACE. A strategy of avoiding further testing in subjects with undetectable initial hsTnI, performing CACS on subjects with detectable initial hsTnI but nonincreased hsTnI (less than 99th percentile), and obtaining CTA in subjects with Agatston greater than 0 will have a negative predictive value of 100.0% (95% confidence interval, 98.2%-100.0%). This strategy will avoid CTA in 63% (198/314) of subjects. CONCLUSIONS: In this pilot study, the addition of CACS to hsTnI improves the identification of low-risk subjects in whom CTA might be avoided.

Agreement between routine emergency department care and clinical decision support recommended care in patients evaluated for mild traumatic brain injury.

OBJECTIVES: Emergency department (ED) computed tomography (CT) use has increased significantly during the past decade. It has been suggested that adherence to clinical decision support (CDS) may result in a safe decrease in CT ordering. In this study, the authors quantified the percentage agreement between routine and CDS-recommended care and the anticipated consequence of strict adherence to CDS on CT use in mild traumatic brain injury (mTBI). METHODS: This was a prospective observational study of patients with mTBI who presented to an urban academic ED of a tertiary care hospital. Patients 18 years or older, presenting within 24 hours of nonpenetrating trauma to the head, from August 2010 to July 2011, were eligible for enrollment. Structured data forms were completed by trained research assistants (RAs). The primary outcome was the percentage agreement between routine head CT use and CDS-recommended head CT use. CDS examined were: the 2008 American College of Emergency Physicians [ACEP] neuroimaging, the New Orleans rule, and the Canadian head CT rule. Differences between outcome groups were assessed using the chi-square test for categorical variables and the Kruskal-Wallis rank test for continuous variables. The percentage agreement between routine practice and CDS-recommended practice was calculated. RESULTS: Of the 169 patients enrolled, 130 (76.9%) received head CT scans, and five of the 130 (3.8%) had acute traumatic intracranial findings. For all subjects, agreement between routine practice and CDS-recommended practice was 77.5, 65.7, and 78.1%, for the ACEP, Canadian, and New Orleans CDS, respectively. Strict adherence to the 2008 ACEP neuroimaging CDS would result in no statistically significant difference in head CT use (routine care, 76.9%; CDS-recommended, 82.8%; p = 0.17). Strict adherence to the New Orleans CDS would result in an increase in head CT use (routine care, 76.9%; CDS-recommended, 94.1%; p < 0.01). Strict adherence to the Canadian CDS would result in a decrease in head CT use (routine care, 76.9%; CDS-recommended, 56.8%; p < 0.01). CONCLUSIONS: There is a 60% to 80% agreement between routine and CDS-recommended head CT use. Of the three CDS systems examined, the only one that may result in a reduction in head CT use if strictly followed was the Canadian head CT CDS. Further studies are needed to examine reasons for the less than optimal agreement between routine care and care recommended by the Canadian head CT CDS.

A comprehensive approach to achieving near 100% compliance with the Joint Commission Core Measures for pneumonia antibiotic timing.

BACKGROUND: Adherence to The Joint Commission (TJC) Core Measures benchmarks is required for hospital accreditation, and data are publicly reported as an indication of hospital quality. Published approaches to date for adhering to the pneumonia antibiotic timing (PN5c) Core Measure have shown moderate to limited success in reaching high levels of compliance. OBJECTIVE: The objective of the study was to evaluate the effectiveness of a 3-phased intervention directed at improving compliance with TJC pneumonia antibiotic administration within the 6-hour requirement (PN5c) in an academic urban emergency department. METHODS: A 3-phase interventional study with retrospective analysis of contemporaneous data collection during a 57-month period ending September 2009 was performed. Phase 0 was baseline, phase 1 was physician evaluation at triage, phase 2 was implementation of a specific pneumonia screening tool and pathway, and phase 3 was implementation of an emergency department electronic medical record system that facilitates removing subjects with "diagnostic uncertainty" from consideration. Main outcome measure was the proportion of patients receiving antibiotics within 6 hours among those meeting PN5c criteria. Mean times to antibiotics and percentage of compliance with PN5c were compared for each phase. RESULTS: Percentage of compliance with PN5c increased from a baseline of 77% through each of the 3 phases: 85%, 91%, and 95%, respectively (Cochran-Armitage trend, P < .001). Mean time to antibiotic administration decreased from a baseline of 285 minutes with each successive intervention to 224, 189, and 169 minutes, respectively (linear regression, P < .001). CONCLUSION: Implementation of a structured intervention that includes early physician triage, a screening tool for immediate imaging and reporting, and electronic record-facilitated compliance review effectively improves TJC PN5c compliance to high levels.

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.

National study of patient, visit, and hospital characteristics associated with leaving an emergency department without being seen: predicting LWBS.

OBJECTIVES: The objective was to estimate the national left-without-being-seen (LWBS) rate and to identify patient, visit, and institutional characteristics that predict LWBS. METHODS: This was a retrospective cross-sectional analysis using the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1998 to 2006. Bivariate and multivariate analyses were performed to identify predictors of LWBS. RESULTS: The national LWBS rate was 1.7 (95% confidence interval [CI] = 1.6 to 1.9) patients per 100 emergency department (ED) visits each year. In multivariate analysis, patients at extremes of age (<18 years, odds ratio [OR] = 0.80, 95% CI = 0.66 to 0.96; and > or =65 years, OR = 0.46, 95% CI = 0.32 to 0.64) and nursing home residents (OR = 0.29, 95% CI = 0.08 to 1.00) were associated with lower LWBS rates. Nonwhites (black or African American (OR = 1.41, 95% CI = 1.22 to 1.63) and Hispanic (OR = 1.25, 95% CI = 1.04 to 1.49), Medicaid (OR = 1.47, 95% CI = 1.27 to 1.70), self-pay (OR = 1.96, 95% CI = 1.65 to 2.32), or other insurance (OR = 2.09, 95% CI = 1.74 to 2.52) patients were more likely to LWBS. Visit characteristics associated with LWBS included visits for musculoskeletal (OR = 0.70, 95% CI = 0.57 to 0.85), injury/poisoning/adverse event (OR = 0.65, 95% CI = 0.53 to 0.80), and miscellaneous (OR = 1.56, 95% CI = 1.19 to 2.05) complaints. Visits with low triage acuity were more likely to LWBS (OR = 3.59, 95% CI = 2.81 to 4.58), whereas visits that were work-related were less likely to LWBS (OR = 0.19, 95% CI = 0.12 to 0.29). Institutional characteristics associated with LWBS were visits in metropolitan areas (OR = 2.11, 95% CI = 1.66 to 2.70) and teaching institutions (OR = 1.33, 95% CI = 1.06 to 1.67). CONCLUSIONS: Several patient, visit, and hospital characteristics are independently associated with LWBS. Prediction and benchmarking of LWBS rates should adjust for these factors.

Health care provider attitudes toward patients with acute vaso-occlusive crisis due to sickle cell disease: development of a scale.

OBJECTIVE: Patients with sickle cell disease (SCD) often perceive negative provider attitudes, which may affect the quality of patient-provider communication and care during vaso-occlusive crises (VOCs). This study investigated the validity and reliability of a scale to measure provider attitudes toward patients with acute VOC. METHODS: Using a cohort of adults with VOC (September 2006 to June 2007), we administered a 10-item provider questionnaire within 72 h of patient encounters. After factor analysis, we created a 7-item Positive Provider Attitudes toward Sickle Cell Patients Scale (PASS); higher scores indicate more positive attitudes. We assessed internal consistency and evidence of construct validity, exploring bivariate relationships between provider or patient characteristics and the PASS score using multilevel modeling. RESULTS: We collected 121 surveys from 84 health care providers for 47 patients. Patients averaged 30.3 years in age, and 60% were women. Among providers, 79% were nurses, and 70% worked in inpatient settings. PASS scores averaged 24.1 (S.D. 6.7), ranged 7-35, and had high internal consistency (Cronbach's alpha=0.91). As hypothesized, inpatient vs. emergency department providers (Delta=4.65, p<0.001) and nurses vs. other providers (Delta=0.95, p<0.001) had higher PASS scores. Higher patient educational attainment (Delta per year=2.74, p<0.001) and employment (Delta=5.62, p=0.001) were associated with higher PASS scores. More frequent hospitalizations (Delta per episode=-0.52, p<0.001) and prior disputes with staff (Delta=-7.53, p=0.002) were associated with lower PASS scores. CONCLUSION: Our findings provide preliminary evidence for the reliability and construct validity of the PASS score in measuring provider attitudes toward patients with VOC. PRACTICE IMPLICATIONS: Future studies should examine the validity of PASS in other cohorts of patients with SCD and their providers. With further evidence, PASS may prove useful for investigating the impact of provider attitudes on the quality of communication and care provided to these patients.

Magnetocardiography predicts coronary artery disease in patients with acute chest pain.

BACKGROUND: The value of magnetocardiography (MCG) for the detection of cardiac electrical disturbances associated with myocardial ischemia was studied. METHODS: Sensitivity and predictivity of admission MCG for the presence of coronary artery disease (CAD) were prospectively evaluated in 264 consecutive patients presenting with acute chest pain and without ST-segment elevation. MCG findings were compared with 12-lead ECG, echocardiography (ECHO), and troponin-I in a head-to-head design. Coronary angiography was used for CAD diagnosis. RESULTS: The visual assessment of magnetocardiograms by the experienced reader (R1) was superior to that by the unexperienced reader (R2) and superior to the automated computer analysis. Specificity and positive predictive value of MCG by R1 were comparable with those of ECG and troponin-I (>90%), while ECHO specificity and ECHO positive predictive value were lower (76.2% and 87.9%, respectively). Sensitivity and negative predictive value of MCG were twice as high as those in the ECG, troponin-I, and ECHO tests. CONCLUSION: For the prediction of CAD in patients presenting with acute chest pain and without ST-segment elevation, an admission MCG test was superior to an admission ECG, ECHO, and troponin-I. The results of the study, however, are applicable only to a highly selected population comprising patients in whom immediate coronary angiography can be performed based on their clinical course in the hospital.