Multihospital System Research Articles

The Association of Advance Care Planning Documentation and End-of-Life Healthcare Use Among Patients With Multimorbidity.

Multimorbidity is associated with increased intensity of end-of-life healthcare. This association has been examined by number but not type of conditions. Our purpose was to understand how intensity of care is influenced by multimorbidity within specific chronic conditions to provide guidance for interventions to improve end-of-life care for these patients. We identified adults cared for in a multihospital healthcare system who died between 2010-2017. We categorized patients by 4 primary chronic conditions: heart failure, pulmonary disease, renal disease, or dementia. Within each condition, we examined the effect of multimorbidity (presence of 4 or more chronic conditions) on hospital and ICU admission in the last 30 days of life, in-hospital death, and advance care planning (ACP) documentation >30 days before death. We performed logistic regression to estimate associations between multimorbidity and end-of-life care utilization, stratified by the presence or absence of ACP documentation. ACP documentation >30 days before death was associated with lower odds of in-hospital death for all 4 conditions both in patients with and without multimorbidity. With the exception of patients with renal disease without multimorbidity, we observed lower odds of hospitalization and ICU admission for all patients with ACP >30 days before death. Patients with dementia and multimorbidity had the highest odds of high-intensity end-of-life care. For patients with dementia, heart failure, or pulmonary disease, ACP documentation >30 days before death was associated with lower likelihood of in-hospital death, hospitalization, and ICU use at end-of-life, regardless of multimorbidity.

Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports.

To evaluate publicly available de-identification tools on a large corpus of narrative-text radiology reports. In this retrospective study, 21 categories of protected health information (PHI) in 2503 radiology reports were annotated from a large multihospital academic health system, collected between January 1, 2012 and January 8, 2019. A subset consisting of 1023 reports served as a test set; the remainder were used as domain-specific training data. The types and frequencies of PHI present within the reports were tallied. Five public de-identification tools were evaluated: MITRE Identification Scrubber Toolkit, U.S. National Library of Medicine‒Scrubber, Massachusetts Institute of Technology de-identification software, Emory Health Information DE-identification (HIDE) software, and Neuro named-entity recognition (NeuroNER). The tools were compared using metrics including recall, precision, and F1 score (the harmonic mean of recall and precision) for each category of PHI. The annotators identified 3528 spans of PHI text within the 2503 reports. Cohen κ for interrater agreement was 0.938. Dates accounted for the majority of PHI found in the dataset of radiology reports (n = 2755 [78%]). The two best-performing tools both used machine learning methods-NeuroNER (precision, 94.5%; recall, 92.6%; microaveraged F1 score [F1], 93.6%) and Emory HIDE (precision, 96.6%; recall, 88.2%; F1, 92.2%)-but none exceeded 50% F1 on the important patient names category. PHI appeared infrequently within the corpus of reports studied, which created difficulties for training machine learning systems. Out-of-the-box de-identification tools achieved limited performance on the corpus of radiology reports, suggesting the need for further advancements in public datasets and trained models.Supplemental material is available for this article.See also the commentary by Tenenholtz and Wood in this issue.© RSNA, 2020.

The Impact of Race on Outcomes of Revascularization for Multivessel Coronary Artery Disease

Racial disparities exist between Black and White patients with coronary artery disease with regard to access to revascularization, preprocedural comorbidities, and postprocedural outcomes. This study investigated the differences in the treatment of multivessel coronary artery disease (MVCAD) and long-term outcomes between Black and White patients. This was a propensity-matched retrospective analysis that utilized pooled institutional data from a large, multihospital health care system. It included Black and White patients who underwent coronary revascularization for MVCAD between 2011 and2018. A total of 6005 patients were included (5689 White and 316 Black). In the unmatched cohort, Black patients had a higher incidence of preexisting comorbidities such as diabetes, dialysis dependence, peripheral arterial disease, heart failure, and underwent percutaneous coronary intervention (PCI) more frequently. Five-year overall survival was similar, but Black patients experienced higher rates of major adverse cardiac and cerebrovascular events and repeat revascularization. Propensity matching resulted in a sample of 926 (312 Black, 614 White) patients that were well matched. In the matched analysis, Black patients underwent PCI more frequently and a had higher rate of stoke. Five-year survival, major adverse cardiac and cerebrovascular events and repeat revascularization rates were comparable. Black patients with MVCAD have a higher comorbidity burden and undergo PCI at higher rates. After adjusting for baseline differences, Black patients still had higher rates of PCI utilization and long-term stroke. It is possible that a significant portion of racial disparities in MVCAD are driven by differences in baseline risk; however, there is evidence of possible racial bias with regard to revascularization strategies.

High Burden of Resistant Gram-Negative Pathogens Causing Device-Associated Healthcare Infections in Saudi Arabia, 2008–2016

Objectives: There is local and regional deficiency in the data examining the contribution of resistant pathogens to device-associated healthcare-associated infections (DA-HAIs). We examined such data in a multihospital system in Saudi Arabia in comparison with the US NHSN reports. Methods: Surveillance of DA-HAIs was prospectively conducted between 2008 and 2016 in 4 hospitals of Ministry of National Guard Health Affairs. Consecutive NHSN reports were used for comparison. Definitions and methodology of DA-HAIs and bacterial resistance were based on the NHSN reports. Results: In total, 1,260 pathogens causing 1,141 DA-HAI events were included. Gram-negative pathogens (GNPs) were responsible for 62.5% of DA-HAIs, with significantly higher Klebsiella, Pseudomonas, Acinetobacter, and Enterobacter than NHSN hospitals. Approximately 28.3% of GNPs and 23.5% of gram-positive pathogens (GPPs) exhibited some type of resistance. Nearly 34.3% of Klebsiella were cephalosporin-resistant; 4.8% of Enterobacteriaceae were carbapenem-resistant (CRE); 24.4% of Staphylococcus aureus were methicillin-resistant (MRSA; and 21.9% of Enterococci were Vancomycin-resistant (VRE). The multidrug resistance (MDR) rates were 65.0% for Acinetobacter, 26.4% for Escherichia coli, 23.0% for Klebsiella, and 14.9% for Pseudomonas. Resistant GNPs including cephalosporin-resistant Klebsiella, MDR Klebsiella, and MDR Escherichia coli were significantly more frequent than in NHSN hospitals, whereas resistant GPPs including MRSA and VRE were significantly less frequent than in NHSN hospitals. Conclusion: Compared with American hospitals, GNPs that contribute to DA-HAIs in Saudi hospitals show more resistance. The higher resistance rates in Klebsiella and Escherichia coli are alarming and call for effective antimicrobial stewardship programs.Funding: NoneDisclosures: None

Is Hospital-Onset Bloodstream Infection (HOBSI) a Useful Measure to Evaluate Infection Prevention Progress?

Background: Acute-care hospitals in the United States are required to submit 6 healthcare-associated infection (HAI) metrics to the CMS for reporting and performance purposes prior to payment. We examined the association between HAI rate trends and hospital-onset bloodstream infection (HO-BSI) rate trends across a large, multihospital health system. Methods: HO-BSI events were identified across 52 hospitals attributable to Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumoniae, or Candida spp using the NHSN Lab ID event definition of ≥day 4 of admission. We compared the performance from January 2016 to March 2019 for HO-BSI and the 6 NHSN-defined HAIs: central-line–associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), Clostridioides difficile, methicillin-resistant Staphylococcus aureus (MRSA) bacteremia, abdominal hysterectomy surgical site infections (SSIs), and colon SSI. We calculated 2 “infection composite scores” to account for the 6 HAIs based on all observed or predicted events (score 1) and an average of the 6 HAI standardized infection ratios (SIRs; score 2). We normalized both measures to 1 for a 12-months rolling baseline. We evaluated the HO-BSI rate change over time and compared it to the change in the infection score over the same period. We compared the change in the 12-month rolling rates of the 2 HAI scores and the HO-BSI rate. Results: During the 39-month period, 3,288 HO-BSI events occurred over 9,775,118 patient days. The source of HO-BSI events included S. aureus (33.5%), P. aeruginosa (10.2%), E. coli (19.7%), K. pneumoniae (13.8%), and Candida spp (22.8%). HO-BSI event rates decreased by 17.3% from 12-month rolling baseline to last 12 months (3.70 vs 3.06 per 10,000 patient days). Similarly, 7,648 HAI events were observed, with the source of events being Clostridioides difficile (57.0%), CAUTI (15.1%), CLABSI (12.8%), MRSA (7.0%), colon SSI (6.4%), and abdominal hysterectomy SSI (1.7%). The 2 HAI scores and the HO-BSI rate all showed a notable decrease from the 2016 baseline period (Fig. 1). The reductions in the HAI scores were both strongly correlated with the reduction in the HO-BSI rate, with the HAI score 1 having a stronger correlation (r = 0.949; P < .001) than was observed for HAI score 2 (r = 0.867; P < .001). Conclusions: Utilization of a HO-BSI measure may prove useful as a correlated but distinct marker of infection prevention improvement or trends. HO-BSI could be useful as an objective electronically obtainable measure to assist in the evaluation of performance within and across facilities.Funding: NoneDisclosures: None

Improved Postoperative Outcomes By Utilizing A Comprehensive Perioperative Surgical Site Infection (SSI) Reduction Bundle

Background: Surgical site infections (SSIs) can be attributed to increased patient morbidity and mortality, prolonged hospital stays, and overall increased healthcare costs. The Surgical Care Improvement Project (SCIP) was implemented in 2002 but has made limited impact on SSI rates across our facilities, which has led to the creation of a bundled approach of current evidence-based strategies. Methods: In January 2019, a comprehensive SSI prevention bundle of strategies was implemented across a multihospital health system. The bundle was comprised of 8 interventions focusing on the preoperative, intraoperative, and postoperative continuum of care, and refining documentation in the electronic medical record. From January to September 2019 (preointervention period), data were collected from 7,163 adult inpatient and observation elective patients undergoing colon surgery (COLO), abdominal hysterectomy (HYST), hip arthroplasty (HPRO), knee arthroplasty (KPRO), and cardiac bypass graft (CBGB/CBGC). The preintervention period for SSI standardized infection ratios (SIRs) and retrospective review of process measures was set as January–December 2018 (postintervetnion period). Each process measure had outlined targets along with primary outcome measures of overall SSI SIRs and SIRs for each of the 5 reported procedure categories. SSIs were validated to meet CDC and NHSN surveillance case definitions. Secondary outcomes evaluated included length of stay (LOS), readmission rates, and mortality. Results: Overall SIR for all 5 monitored surgical categories decreased by 5% to 1.131 from January to September 2019, compared to SIR of 1.190 in 2018. Hip and knee arthroplasties demonstrated 40% and 38% reductions after the intervention, respectively. Completion of 7 or 8 interventions of the SSI bundle were correlated with lower readmission rates (P = .0488). When any portion of the bundle was used, this was correlated with shorter LOS (P < .0001). Adherence to standardized antimicrobial prophylaxis was associated with decreased mortality (P = .017), for all 5 surgical categories. Conclusions: With the implementation of a focused SSI reduction bundle, our institution has realized reductions in surgical readmissions, length of stay, and mortality. Additionally, SSI rates in certain procedure categories have shown marked improvement. The initial success of this bundle has garnered development of additional procedure focused supplemental strategies for the future year.Funding: NoneDisclosures: Aarikha D’Souza, Banner Health

The Development of an Environmental Surveillance Protocol to Detect Candida auris and Measure the Adequacy of Discharge Room Cleaning Performed by Different Methods

Background: Contaminated surfaces within patient rooms and on shared equipment is a major driver of healthcare-acquired infections (HAIs). The emergence of Candida auris in the New York City metropolitan area, a multidrug-resistant fungus with extended environmental viability, has made a standardized assessment of cleaning protocols even more urgent for our multihospital academic health system. We therefore sought to create an environmental surveillance protocol to detect C. auris and to assess patient room contamination after discharge cleaning by different chemicals and methods, including touch-free application using an electrostatic sprayer. Surfaces disinfected using touch-free methods may not appear disinfected when assessed by fluorescent tracer dye or ATP bioluminescent assay. Methods: We focused on surfaces within the patient zone which are touched by the patient or healthcare personnel prior to contact with the patient. Our protocol sampled the over-bed table, call button, oxygen meter, privacy curtain, and bed frame using nylon-flocked swabs dipped in nonbacteriostatic sterile saline. We swabbed a 36-cm2 surface area on each sample location shortly after the room was disinfected, immediately inoculated the swab on a blood agar 5% TSA plate, and then incubated the plate for 24 hours at 36°C. The contamination with common environmental bacteria was calculated as CFU per plate over swabbed surface area and a cutoff of 2.5 CFU/cm2 was used to determine whether a surface passed inspection. Limited data exist on acceptable microbial limits for healthcare settings, but the aforementioned cutoff has been used in food preparation. Results: Over a year-long period, terminal cleaning had an overall fail rate of 6.5% for 413 surfaces swabbed. We used the protocol to compare the normal application of either peracetic acid/hydrogen peroxide or bleach using microfiber cloths to a new method using sodium dichloroisocyanurate (NaDCC) applied with microfiber cloths and electrostatic sprayers. The normal protocol had a fail rate of 9%, and NaDCC had a failure rate of 2.5%. The oxygen meter had the highest normal method failure rate (18.2%), whereas the curtain had the highest NaDCC method failure rate (11%). In addition, we swabbed 7 rooms previously occupied by C. auris–colonized patients for C. auris contamination of environmental surfaces, including the mobile medical equipment of the 4 patient care units that contained these rooms. We did not find any C. auris, and we continue data collection. Conclusions: A systematic environmental surveillance system is critical for healthcare systems to assess touch-free disinfection and identify MDRO contamination of surfaces.Funding: NoneDisclosures: None

Nosocomial Rabies Encephalitis: Lessons Learned From Exposures in a Large Healthcare System

Background: In October 2018 a patient presented to hospital A’s emergency department (ED) for a work injury, arm spasms, and inability to drink liquids. He developed rapid neurologic decline and was transferred to hospital B for neurocritical care. He developed a fever, was intubated, and had an unrevealing infectious diseases (ID) consultation. He became comatose, had refractory seizures, and was transferred to hospital C. A second ID consultation revealed that he had many bats in his home, and his symptoms were consistent with rabies encephalitis. Antemortem specimens of serum, CSF, skin biopsy, and saliva were all positive for rabies virus PCR, and/or rabies serologies. Objective: We describe the response of a multihospital system to the exposure of employees across 3 facilities to rabies-infected body fluids. Methods: Three hospitals in 1 system (222 caregivers) cared for the index patient (hospital A, n = 8; hospital B, n = 107; hospital C, n = 107; 19 students and residents), as did 2 additional facilities outside the system. These included physicians (n = 21), registered nurses (n = 57), respiratory therapists (n = 29), imaging technicians (n = 24), phlebotomists (n = 12), laboratorians (n = 8) and others (n = 71). Infection prevention, employee health, and pharmacy leadership created a centralized team to ensure that all exposed caregivers were screened, and if exposed, were vaccinated. An electronic screening tool developed and administered by the Utah Department of Health via Research Electronic Data Capture (Redcap), rapidly assessed caregiver body fluid exposure risks (saliva, tears, neurologic tissue), and use of personal protective equipment in patient care. After completion, caregivers received notification that he or she (1) had no exposure (no further action), (2) had exposure and should report to employee health for vaccination, or (3) had unclear exposure and should contact the employee health department. Results: Caregivers feared that the tool underestimated exposure risk. Many caregivers (n = 48), repeated the assessment more than once, changing answers. The most common reasons cited were incomplete forms (n = 21), caregiver did not recall using personal protective equipment with contact with saliva (n = 8) or did not understand rabies transmission (n = 3). All vaccinations were initiated by 11 of 26 care givers, 18 days after initial deployment of the tool. All exposed caregivers completed the course. No caregivers developed symptoms of rabies encephalitis. Conclusions: An online tool can safely assess large healthcare exposure such as rabies. A team comprising infection preventionists, employee health representatives, pharmacists, and public health department representatives made the assessment of many geographically dispersed caregivers rapid and effective. Caregivers should employ the basic tenets of standard precautions in the daily care of patients to avoid unknown exposures to common bodily fluids.Funding: NoneDisclosures: None

Unraveling the impact of time-dependent perioperative variables on 30-day readmission after coronary artery bypass surgery

ObjectivesReadmission within 30 days of discharge after coronary artery bypass grafting is a measure of quality and a driver of cost in health care. Traditional predictive models use time-independent variables. We developed a new model to predict time to readmission after coronary artery bypass grafting using both time-independent and time-dependent preoperative and perioperative data. MethodsAdults surviving to discharge after isolated coronary artery bypass grafting at a multi-hospital academic health system from January 2017 to September 2018 were included in this study. Two distinct data sources were used: the institutional cardiac surgical database and the clinical data warehouse, which provided more granular data points for each patient. Patients were divided into training and validation sets in an 80:20 ratio. We evaluated 82 potential risk factors using Cox survival regression and machine learning techniques. The area under the receiver operating characteristic curve was used to estimate model predictive accuracy. ResultsWe trained the model with 21 variables that scored a P value of less than .05 in the univariable analysis. The multivariable model determined 16 significant risk factors, and 6 of them were time-dependent. These included preoperative hemoglobin a1c level, preoperative creatinine, preoperative hematocrit, intraoperative hemoglobin, postoperative creatinine, and postoperative hemoglobin. Area under the receiver operating characteristic values were 0.906 and 0.868 for training and validation sets, respectively. ConclusionsTime-dependent perioperative variables in an isolated coronary artery bypass grafting cohort provided better predictive ability to a readmission model. This study was unique in the inclusion of time-dependent covariates in the predictive model for readmission after discharge after coronary artery bypass grafting.

Return Hospital Admissions Among 1419 COVID-19 Patients Discharged from Five U.S. Emergency Departments.

Although many ED patients with known or suspected Covid-19 require hospital admission, the majority are discharged home. Concern for surges in hospital occupancy compel emergency providers to preserve inpatient resources and discern which patients benefit most from admission. Even in the absence of surge conditions, patients may prefer to recover at home if safe to do so. However, some patients with Covid-19 experience delayed decompensation.

Successfully Deploying Your Valuable Resources:: Staffing Implications and Prioritization During Crisis

Whether your facility is standalone or part of a multihospital system, meeting operational demand for patient care under routine circumstances can be challenging. Vacancies, prolonged recruitment time to fill positions, and unscheduled absences and leaves, combined with increased acuity and volume, can strain and overwhelm a facility’s resources during noncrisis circumstances. This article explores the challenges of staffing during a crisis and patient surge, providing strategies that can be utilized to optimize resources.

Impact of the SARS-CoV-2 Pandemic on Emergency Department Presentations in an Integrated Health System

ObjectiveTo quantify the impact of the severe acute respiratory syndrome coronavirus 2 pandemic on emergency department volumes and patient presentations and evaluate changes in community mortality for the purpose of characterizing new patterns of emergency care use. Patients and MethodsThis is an observational cross-sectional study using electronic health records for emergency department visits in an integrated multihospital system with academic and community practices across 4 states for visits between March 17 and April 21, 2019, and February 9 and April 21, 2020. We compared numbers and proportions of common and critical chief symptoms and diagnoses, triage assessments, throughput, disposition, and selected hospital lengths of stay and out-of-hospital deaths. ResultsIn the period of interest, emergency department visits decreased by nearly 50% (35037 to 18646). Total numbers of patients with myocardial infarctions, stroke, appendicitis, and cholecystitis diagnosed decreased. The percentage of visits for mental health symptoms increased. There was an increase in deaths, driven by out-of-hospital mortality. ConclusionFewer patients presenting with acute and time-sensitive diagnoses suggests that patients are deferring care. This may be further supported by an increase in out-of-hospital mortality. Understanding which patients are deferring care and why will allow us to develop outreach strategies and ensure that those in need of rapid assessment and treatment will do so, preventing downstream morbidity and mortality.

Implementation of a Centralized Telepsychiatry Consult Service in a Multi-Hospital Metropolitan Health Care System: Challenges and Opportunities.

BackgroundProviding adequate psychiatry consultation capacity on a 24/7 basis is an intrinsic challenge throughout many multihospital health care systems. At present, implementation research has not adequately defined the effectiveness and feasibility of a centralized telepsychiatry consultation service within a multihospital health care system.ObjectiveTo demonstrate feasibility of a hub and spoke model for provision of inpatient consult telepsychiatry service from an academic medical center to 2 affiliated regional hospital sites, to reduce patient wait time, and to develop best practice guidelines for telepsychiatry consultations to the acutely medically ill.MethodsThe implementation, interprofessional workflow, process of triage, and provider satisfaction were described from the first 13 months of the service.ResultsThis pilot study resulted in 557 completed telepsychiatry consults over the course of 13 months from 2018 to 2019. A range of psychiatric conditions commonly encountered by consultation-liaison services were diagnosed and treated through the teleconferencing modality. The most common barriers to successful use of telepsychiatry were defined for the 20% of consult requests that were retriaged to face-to-face evaluation. The average patient wait time from consult request to initial consultation was reduced from >24 hours to 92 minutes.ConclusionsThis study demonstrated the feasibility of a centralized telepsychiatry hub to improve delivery of psychiatry consultation within a multihospital system with an overall reduction in patient wait time. This work may serve as a model for further design innovation across many health care settings and new patient subpopulations.

Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014\u20132016

BackgroundComputerized provider order entry (CPOE) can help providers deliver better quality care. We aimed to understand recent trends in use of CPOE by health system-affiliated ambulatory clinics.MethodsWe analyzed longitudinal data (2014–2016) for 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey to assess use of CPOE and identify characteristics of clinics associated with CPOE use.We calculated descriptive statistics to examine overall trends in use, location of order entry (bedside vs. clinical station), and system-level use CPOE across all clinics. We used linear probability models to explore the association between clinic characteristics (practice size, practice type, and health system type) and two outcomes of interest: CPOE use at any point between 2014 and 2016, and CPOE use beginning in 2015 or 2016.ResultsBetween 2014 and 2016, use of CPOE increased more than 9 percentage points from 58 to 67%. Larger clinics and those affiliated with multi-hospital health systems were more likely to have reported use of CPOE. We found no difference in CPOE use by primary care versus specialty care clinics. When used, most clinics reported using CPOE for most or all of their orders. Health systems that used CPOE usually did so for all system-affiliated clinics.ConclusionsSmall practice size or not being part of a multi-hospital system are associated with lower use of CPOE between 2014 and 2016. Less than optimal use in these environments may be harming patient outcomes.

Implementation of a Standardized Prenatal Testing Protocol in an Integrated, Multihospital Health System.

When our institution grew into an integrated multihospital health system, we were faced with the need to standardize laboratory processes, including blood bank processes, across all locations. The purpose of this article is to describe our experience of standardizing the protocols for prenatal testing. For each hospital in the system, we established service tiers to define tests offered on site or referred to another location. For each prenatal test, we examined the related processes for ways to improve uniformity, efficiency, and reliability. Throughout this process of standardization, we collaborated with the clinical services to gain concurrence on the interpretation and reporting of results. We created and implemented a uniform protocol for testing prenatal patients. The protocol standardized the definition of critical titer, instituted criteria to identify passively acquired anti-D, and established a process for the follow-up of women with inconsistent serologic results on Rh(D) typing. Close collaboration with the clinical services ensured that our testing protocol is aligned with the needs of the integrated obstetrics service in the health system. The approach described in this article may provide a plan outline for pathologists facing similar challenges at other integrated health systems.

Occult Malignancy in Adult Tonsillectomy for Benign Indication.

National pathology guidelines recommend full pathologic analysis for all adult tonsillectomy specimens. We evaluated the available data on occult malignancy in adult tonsillectomy for benign indication, and created a screening system to reduce the risk of missed malignancies if routine histopathologic examination were to be discontinued. Retrospective chart review and systematic review of the literature. Tertiary care academic hospital and multi-hospital private healthcare system. A systematic literature review identified case series of adult tonsillectomy. Retrospective chart review at our institutions from 2000 to 2016 produced an additional case series. The pooled rate of occult malignancy was determined, and re-analyzed using criteria based on preoperative risk factors designed to identify patients requiring full pathologic analysis. The predicted effects of prospective application of the proposed criteria were calculated. Pooled occult malignancy prevalence was estimated. Literature review and our own case series yielded 12,094 total cases. Occult malignancy prevalence in the combined data was 0.033%, representing four occult malignancies. Three out of the four would have been selected for full pathology preoperatively with use of the proposed criteria. Statistical analysis indicates that the predicted frequency of occult malignancy incidence in cases negative for the criteria is 0.01%, or 1/10,000. Application of the proposed criteria to adults undergoing tonsillectomy for benign indication identifies a subset of patients with an estimated incidence of occult malignancy similar to that reported for pediatric tonsillectomy, and potentially may permit safe elimination of pathologic analysis of their tonsil specimens. Pooled analysis of case series from the literature and a single institution, level 4.

Efficiency and profitability in US not-for-profit hospitals.

This article examines the relationship between hospital profitability and efficiency. A cross-section of 1317 U.S. metropolitan, acute care, not-for-profit hospitals for the year 2015 was employed. We use a frontier method, stochastic frontier analysis, to estimate hospital efficiency. Total margin and operating margin were used as profit variables in OLS regressions that were corrected for heteroskedacity. In addition to estimated efficiency, control variables for internal and external correlates of profitability were included in the regression models. We found that more efficient hospitals were also more profitable. The results show a positive relationship between profitability and size, concentration of output, occupancy rate and membership in a multi-hospital system. An inverse relationship was found between profits and academic medical centers, average length of stay, location in a Medicaid expansion state, Medicaid and Medicare share of admissions, and unemployment rate. The results of a Hausman test indicates that efficiency is exogenous in the profit equations. The findings suggest that not-for-profit hospitals will be responsive to incentives for increasing efficiency and use market power to increase surplus to pursue their objectives.

Centralized Ambulance Diversion Policy Using Rolling-Horizon Optimization Framework to Minimize Patient Tardiness.

Ambulance diversion (AD) is a common method for reducing crowdedness of emergency departments by diverting ambulance-transported patients to a neighboring hospital. In a multi-hospital system, the AD of one hospital increases the neighboring hospital’s congestion. This should be carefully considered for minimizing patients’ tardiness in the entire multi-hospital system. Therefore, this paper proposes a centralized AD policy based on a rolling-horizon optimization framework. It is an iterative methodology for coping with uncertainty, which first solves the centralized optimization model formulated as a mixed-integer linear programming model at each discretized time, and then moves forward for the time interval reflecting the realized uncertainty. Furthermore, the decentralized optimization, decentralized priority, and No-AD models are presented for practical application, which can also show the impact of using the following three factors: centralization, mathematical model, and AD strategy. The numerical experiments conducted based on the historical data of Seoul, South Korea, for 2017, show that the centralized AD policy outperforms the other three policies by 30%, 37%, and 44%, respectively, and that all three factors contribute to reducing patients’ tardiness. The proposed policy yields an efficient centralized AD management strategy, which can improve the local healthcare system with active coordination between hospitals.

Process mapping of the urgent red cell exchange procedure for patients with severe complications of sickle cell disease at a centralized hemapheresis service.

Sickle cell disease (SCD) patients require urgent red cell exchange (RCE) procedures for acute chest syndrome (ACS), demanding a coordinated effort of multiple clinical services. Execution of RCE is a multistep process from the time the procedure is requested to the time the procedure is initiated. A retrospective review of patients with SCD requiring urgent RCE for ACS and stroke from 2012 to 2017 was performed at a centralized hemapheresis service covering a multihospital healthcare system. A total of 30 urgent RCE procedures performed on 28 patients were evaluated. The time required for red blood cell (RBC) preparation was the longest step in the process (median 3.8 hours). Furthermore, RBC preparation time was longer for sickle cell patients with RBC alloimmunization compared with nonalloimmunized patients (8.6 vs 3.8 hours, P = .03). One mortality event occurred in Ab- group. This study identified potentially modifiable factors, which impact the time to implementation of RCE in one service area. It highlights the importance of a structured and coordinated approach for the efficient and timely delivery of this vital treatment modality.

Elevated COVID-19 Related Mortality Risk Among Hospitalized Inpatients from Socially Vulnerable Census Tracts

Background: There is a dearth of information about coronavirus disease (COVID-19) mortality risk factors in large urban health systems that predominantly serve African Americans. Methods: This registry-based cohort study includes consecutive adult COVID-19 patients admitted to emergency departments in a Detroit-based multihospital health system from 3/11/2020 through 4/6/2020. Regression models examine relationships between in-hospital mortality and residential census tract characteristics estimated by the CDC Social Vulnerability Index, patient demographics and medical history. Results: A total of 1015 COVID-19 patients are included. The majority (80%) was identified as black, 52% were male and 53% were ≥ 65 years of age. The median (interquartile range) body mass index and Charlson Comorbidity Index score was 30·4 (26-37) and 4 (IQR, 2-5), respectively. Of the 896 hospitalized patients, 75% was hospitalized. The in-hospital mortality rate was 38% (n=340/896). Mortality risk was significantly elevated by 50% among patients from census tracts in the 90 th percentile of vulnerability related to socioeconomic status or heightened household overcrowding and use of public transportation. Elderly patients, those residing in nursing homes prior to hospitalization, and patients with comorbid cardiometabolic disorders were also at 30%-to-90% elevated risk. Interpretation : Public health efforts focusing on increased testing and limiting contact with persons infected COVID-19 are needed for the elderly and people with cardiometabolic disorders in large urban health systems that predominately serve African Americans. If our findings are replicated, then priority should be given to areas with heightened vulnerability related to socioeconomic status, household crowding and use of public transportation. Funding: No funding was obtained to conduct this study. Declaration of Interests: Authors in the manuscript declare no competing interests. Ethics Approval Statement: This study was reviewed and approved by the Detroit Medical Center Clinical Research Office and the Wayne State University Institutional Review Boards.