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Background: Telemedicine has emerged as a vital healthcare delivery model, especially pronounced during the COVID-19 pandemic. Our study uniquely focuses on an institutional lens, examining US hospitals to offer targeted policy implications., Objective: To investigate the trend in telemedicine adoption across US hospitals from 2017 to 2022 and analyze the institutional challenges they encounter, particularly in the realm of electronic health information exchange., Design: Cross-sectional study leveraging data from the American Hospital Association's (AHA) annual surveys for the years 2017 to 2021 and the 2022 AHA IT Supplement Survey., Setting: The study includes a national sample of US hospitals, covering a diverse range of hospital types including large, nonprofit, teaching, and system-affiliated institutions., Participants: US hospitals form the study's participants, with a substantial response rate to the surveys., Main Measures: Key metrics include the number of telemedicine patient encounters, percentage of hospitals offering telemedicine services, and institutional challenges to electronic health information exchange., Key Results: Telemedicine encounters saw a 75% increase, growing from approximately 111.4 million in 2020 to nearly 194.4 million in 2021. The percentage of hospitals offering at least one form of telemedicine service went from 46% in 2017 to 72% in 2021. Larger, nonprofit, and teaching hospitals were more prone to telehealth adoption, without notable urban-rural disparities. While over 90% of hospitals allow patients to view and download medical records, only 41% permit online data submission. Importantly, 25% of hospitals identified Certified Health IT Developers such as EHR vendor as frequent culprits in information blocking, with cost being the primary obstacle., Conclusions: The findings underscore the rapid yet uneven adoption of telemedicine services in U.S. hospitals. The results point to the need for comprehensive policy interventions to address the challenges identified and realize telemedicine's full potential in healthcare delivery and resilience., (© 2024. The Author(s), under exclusive licence to Society of General Internal Medicine.)

The recent rise of active shootings calls for adequate preparation. Currently, the "Run, Hide, Fight" concept is widely accepted and adopted by many hospitals nationwide. Unfortunately, the appropriateness of this concept in hospitals is uncertain due to lack of data. To understand the "Run, Hide, Fight" concept application in hospitals, a review of currently available data is needed. A systematic review was done focusing on the "Run, Hide, Fight" concept using multiple databases from the past 12 years. The PRISMA flow diagram was used to systematically select the articles based on specific inclusion and exclusion criteria. The measurements were subjective evaluations and survival probabilities post-concept. One agent-based modeling study suggested a high survival probability in non-medical settings. However, there is a paucity of data supporting its effectiveness and applicability in hospitals. Literature suggests a better suitable concept, the "Secure, Preserve, Fight" concept, as a response protocol to active shootings in hospitals. The effectiveness of the "Run, Hide, Fight" concept in hospitals is questionable. The "Secure, Preserve, Fight" concept was found to be designed more specifically for hospitals and closes the gaps on the flaws in the "Run, Hide, Fight" concept.

Healthcare systems are large contributors to global emissions, and intensive care units (ICUs) are a complex and resource-intensive component of these systems. Recent global movements in sustainability initiatives, led mostly by Europe and Oceania, have tried to mitigate ICUs' notable environmental impact with varying success. However, there exists a significant gap in the U.S. knowledge and published literature related to sustainability in the ICU. After a narrative review of the literature and related industry standards, we share our experience with a Green ICU initiative at a large hospital system in Texas. Our process has led to a 3-step pathway to inform similar initiatives for sustainable (green) critical care. This pathway involves (1) establishing a baseline by quantifying the status quo carbon footprint of the affected ICU as well as the cumulative footprint of all the ICUs in the healthcare system; (2) forming alliances and partnerships to target each major source of these pollutants and implement specific intervention programs that reduce the ICU-related greenhouse gas emissions and solid waste; and (3) finally to implement a systemwide Green ICU which requires the creation of multiple parallel pathways that marshal the resources at the grass-roots level to engage the ICU staff and institutionalize a mindset that recognizes and respects the impact of ICU functions on our environment. It is expected that such a systems-based multi-stakeholder approach would pave the way for improved sustainability in critical care., (© 2024. The Author(s).)

Background: Improving the quality and effectiveness of healthcare is a key priority in health policy. The emergence of the COVID-19 pandemic has exerted considerable pressure on hospital networks, requiring unprecedented reorganization and restructuring actions. This study analyzed data from the Italian National Outcomes Program to compare some volumes and outcomes of public and private accredited hospitals in the Lombardy Region with national data., Study Design: Observational study., Methods: A thorough examination of hospital outcomes between 2019 and 2021 was conducted, considering 45 volume indicators and 48 process and outcome indicators, comparing Lombardy with other Italian regions and public versus private accredited hospitals., Results: In 2020, Italy and Lombardy experienced a considerable reduction in overall hospital admissions, with Lombardy showing a deeper decline (21.3% compared with 16.0% in Italy). In 2021, both experienced a partial recovery, especially marked in the Lombardy region (+7.3%, compared with national data). Focusing specifically on the private sector in Lombardy, a recovery of +9.3% in hospitalization was observed. In the analysis of clinical outcomes, Lombardy outperformed the national average for 63% of the indicators in 2020 and 83.3% in 2021., Conclusions: The study shows the continuing decline in volumes compared to 2019 (pre-COVID), the excellent performance of hospitals in Lombardy and a relevant contribution for the volumes and the quality of outcomes of private accredited hospitals.

Objectives: The objective of this study was to elucidate whether the survival and long-term neurodevelopmental outcomes of extremely preterm infants have improved in a Japanese tertiary center with an active treatment policy for infants born at 22-23 weeks of gestation., Study Design: This single-centered retrospective cohort study enrolled extremely preterm infants treated at Saitama Medical Center, Saitama Medical University, from 2003 to 2014. Patients with major congenital abnormalities were excluded. Primary outcomes were in-hospital survival and severe neurodevelopmental impairment (NDI) at 6 years of age, which was defined as having severe cerebral palsy, severe cognitive impairment, severe visual impairment, or deafness. We assessed the changes in primary outcomes between the first (period 1; 2003-2008) and the second half (period 2; 2009-2014) of the study period and evaluated the association between birth-year and primary outcomes using multivariate logistic regression models., Results: Of the 403 eligible patients, 340 (84%) survived to discharge. Among 248 patients available at 6 years of age, 43 (14%) were classified as having severe NDI. Between the 2 periods, in-hospital survival improved from 155 of 198 (78%) to 185 of 205 (90%), but severe NDI increased from 11 of 108 (10%) to 32 of 140 (23%). In multivariate logistic regression models adjusted for gestational age, birthweight, sex, singleton birth, and antenatal corticosteroids, the aOR (95% CI) of birth-year for in-hospital survival and severe NDI was 1.2 (1.1-1.3) and 1.1 (1.0-1.3), respectively., Conclusion: Mortality among extremely preterm infants has improved over the past 12 years; nevertheless, no significant improvement was observed in the long-term neurodevelopmental outcomes., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Importance: Approximately 1 in 6 youth in the US have a mental health condition, and suicide is a leading cause of death among this population. Recent national statistics describing acute care hospitalizations for mental health conditions are lacking., Objectives: To describe national trends in pediatric mental health hospitalizations between 2009 and 2019, to compare utilization among mental health and non-mental health hospitalizations, and to characterize variation in utilization across hospitals., Design, Setting, and Participants: Retrospective analysis of the 2009, 2012, 2016, and 2019 Kids' Inpatient Database, a nationally representative database of US acute care hospital discharges. Analysis included 4 767 840 weighted hospitalizations among children 3 to 17 years of age., Exposures: Hospitalizations with primary mental health diagnoses were identified using the Child and Adolescent Mental Health Disorders Classification System, which classified mental health diagnoses into 30 mutually exclusive disorder types., Main Outcomes and Measures: Measures included number and proportion of hospitalizations with a primary mental health diagnosis and with attempted suicide, suicidal ideation, or self-injury; number and proportion of hospital days and interfacility transfers attributable to mental health hospitalizations; mean lengths of stay (days) and transfer rates among mental health and non-mental health hospitalizations; and variation in these measures across hospitals., Results: Of 201 932 pediatric mental health hospitalizations in 2019, 123 342 (61.1% [95% CI, 60.3%-61.9%]) were in females, 100 038 (49.5% [95% CI, 48.3%-50.7%]) were in adolescents aged 15 to 17 years, and 103 456 (51.3% [95% CI, 48.6%-53.9%]) were covered by Medicaid. Between 2009 and 2019, the number of pediatric mental health hospitalizations increased by 25.8%, and these hospitalizations accounted for a significantly higher proportion of pediatric hospitalizations (11.5% [95% CI, 10.2%-12.8%] vs 19.8% [95% CI, 17.7%-21.9%]), hospital days (22.2% [95% CI, 19.1%-25.3%] vs 28.7% [95% CI, 24.4%-33.0%]), and interfacility transfers (36.9% [95% CI, 33.2%-40.5%] vs 49.3% [95% CI, 45.9%-52.7%]). The percentage of mental health hospitalizations with attempted suicide, suicidal ideation, or self-injury diagnoses increased significantly from 30.7% (95% CI, 28.6%-32.8%) in 2009 to 64.2% (95% CI, 62.3%-66.2%) in 2019. Length of stay and interfacility transfer rates varied significantly across hospitals. Across all years, mental health hospitalizations had significantly longer mean lengths of stay and higher transfer rates compared with non-mental health hospitalizations., Conclusions and Relevance: Between 2009 and 2019, the number and proportion of pediatric acute care hospitalizations due to mental health diagnoses increased significantly. The majority of mental health hospitalizations in 2019 included a diagnosis of attempted suicide, suicidal ideation, or self-injury, underscoring the increasing importance of this concern.

Sustainable and equitable payment structures are urgently needed for this promising acute care model., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To identify to what extent distinguishing patient and procedural characteristics can explain center-level transfusion variation during coronary artery bypass grafting surgery., Methods: Observational cohort study using the Perfusion Measures and Outcomes Registry from 43 adult cardiac surgical programs from July 1, 2011, to July 1, 2017. Iterative multilevel logistic regression models were constructed using patient demographic characteristics, preoperative risk factors, and intraoperative conservation strategies to progressively explain center-level transfusion variation., Results: Of the 22,272 adult patients undergoing isolated coronary artery bypass surgery using cardiopulmonary bypass, 7241 (32.5%) received at least 1 U allogeneic red blood cells (range, 10.9%-59.9%). When compared with patients who were not transfused, patients who received at least 1 U red blood cells were older (68 vs 64 years; P < .001), were women (41.5% vs 15.9%; P < .001), and had a lower body surface area (1.93 m 2 vs 2.07 m 2 ; P < .001), respectively. Among the models explaining center-level transfusion variability, the intraclass correlation coefficients were 0.07 for model 1 (random intercepts), 0.12 for model 2 (patient factors), 0.14 for model 3 (intraoperative factors), and 0.11 for model 4 (combined). The coefficient of variation for center-level transfusion rates were 0.31, 0.29, 0.40, and 0.30 for models 1 through 4, respectively. The majority of center-level variation could not be explained through models containing both patient and intraoperative factors., Conclusions: The results suggest that variation in center-level red blood cells transfusion cannot be explained by patient and procedural factors alone. Investigating organizational culture and programmatic infrastructure may be necessary to better understand variation in transfusion practices., (Copyright © 2020 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

Importance: Limited data exist regarding the characteristics of hospitals that do and do not participate in voluntary public reporting programs., Objective: To describe hospital characteristics and trends associated with early participation in the American College of Cardiology (ACC) voluntary reporting program for cardiac catheterization-percutaneous coronary intervention (CathPCI) and implantable cardioverter-defibrillator (ICD) registries., Design, Setting, and Participants: This cross-sectional study analyzed enrollment trends and characteristics of hospitals that did and did not participate in the ACC voluntary public reporting program. All hospitals reporting procedure data to the National Cardiovascular Data Registry (NCDR) CathPCI or ICD registries that were eligible for the public reporting program from July 2014 (ie, program launch date) to May 2017 were included. Stepwise logistic regression was used to identify hospital characteristics associated with voluntary participation. Enrollment trends were evaluated considering the date US News & World Report (USNWR) announced that it would credit participating hospitals. Data analysis was performed from March 2017 to January 2018., Main Outcomes and Measures: Hospital characteristics and participation in the public reporting program., Results: By May 2017, 561 of 1747 eligible hospitals (32.1%) had opted to participate in the program. Enrollment increased from 240 to 376 hospitals (56.7%) 1 month after the USNWR announcement that program participation would be considered as a component of national hospital rankings. Compared with hospitals that did not enroll, program participants had increased median (IQR) procedural volumes for PCI (481 [280-764] procedures vs 332 [186-569] procedures; P < .001) and ICD (114 [56-220] procedures vs 62 [25-124] procedures; P < .001). Compared with nonparticipating hospitals, an increased mean (SD) proportion of participating hospitals adhered to composite discharge medications after PCI (0.96 [0.03] vs 0.92 [0.07]; P < .001) and ICD (0.88 [0.10] vs 0.81 [0.12]; P < .001). Hospital factors associated with enrollment included participation in 5 or more NCDR registries (odds ratio [OR],1.98; 95% CI, 1.24-3.19; P = .005), membership in a larger hospital system (ie, 3-20 hospitals vs ≤2 hospitals in the system: OR, 2.29; 95% CI, 1.65-3.17; P = .001), participation in an NCDR pilot public reporting program of PCI 30-day readmissions (OR, 2.93; 95% CI, 2.19-3.91; P < .001), university affiliation (vs government affiliation: OR, 3.85, 95% CI, 1.03-14.29; P = .045; vs private affiliation: OR, 2.22; 95% CI, 1.35-3.57; P < .001), Midwest location (vs South: OR, 1.47; 95% CI, 1.06-2.08; P = .02), and increased comprehensive quality ranking (4 vs 1-2 performance stars in CathPCI: OR, 8.08; 95% CI, 5.07-12.87; P < .001; 4 vs 1 performance star in ICD: OR, 2.26; 95% CI, 1.48-3.44; P < .001) (C statistic = 0.829)., Conclusions and Relevance: This study found that one-third of eligible hospitals participated in the ACC voluntary public reporting program and that enrollment increased after the announcement that program participation would be considered by USNWR for hospital rankings. Several hospital characteristics, experience with public reporting, and quality of care were associated with increased odds of participation.

Background: Studies on the clinical implication of hospital selection for patients with lung cancer are few. Therefore, this study aimed to analyze 2005-2016 data from the Korean national database to assess annual trends of lung cancer surgery and clinical outcomes according to hospital selection., Methods: Data of 212 554 patients with lung cancer who underwent upfront surgery were screened. Trends according to sex, age, residence, and income were examined. Descriptive statistics were performed, and p trend values were estimated. The association between survival and hospital selection was assessed using the log-rank test. A multivariate Cox regression analysis was also performed., Results: A total of 49 021 patients were included in this study. Surgery was prevalent among men, patients aged 61-75 years, capital area residents, and high-income patients. However, with the increasing rate of surgery among women, patients aged ≥76 years, city residents, and middle-income patients, the current distribution of lung cancer surgery could change. The rate of lobectomy among these groups increased. All patients, except those in capital areas, preferred a hospital outside their area of residence (HOR); the number of patients with this tendency also increased. However, this trend was not observed among low-income patients and those aged ≥76 years. There were significant differences in survival according to hospital selection., Conclusions: The trend of lung cancer surgery is changing. The current medical system is effective in providing lobectomy for patients including women, aged ≥76 years, city residents, and middle-income. Increasing tendency to choose an HOR requires further study., (© 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.)

Background: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels., Objectives: The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels., Methods: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients., Results: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients' disparities were no longer significant., Discussion: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients., Competing Interests: The authors have no conflicts of interest to report., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Importance: In October 2015, the Centers for Medicare & Medicaid Services began requiring US hospitals to report adherence to the Severe Sepsis and Septic Shock Early Management Bundle (SEP-1)., Objective: To evaluate the association of SEP-1 implementation with sepsis treatment patterns and outcomes in diverse hospitals., Design, Setting, and Participants: This retrospective cohort study with interrupted time-series analysis and logistic regression models was conducted among adults admitted to 114 hospitals from October 2013 to December 2017 with suspected sepsis (blood culture orders, ≥2 systemic inflammatory response syndrome criteria, and acute organ dysfunction) within 24 hours of hospital arrival. Data analysis was conducted from September 2020 to September 2021., Exposures: SEP-1 implementation in the fourth quarter (Q4) of 2015., Main Outcomes and Measures: The primary outcome was quarterly rates of risk-adjusted short-term mortality (in-hospital death or discharge to hospice). Secondary outcomes included lactate testing and administration of anti-methicillin-resistant Staphylococcus aureus (MRSA) or antipseudomonal β-lactam antibiotics within 24 hours of hospital arrival. Generalized estimating equations with robust sandwich variances were used to fit logistic regression models to assess for changes in level or trends in these outcomes, adjusting for baseline characteristics and severity of illness., Results: The cohort included 117 510 patients (median [IQR] age, 67 years [55-78] years; 60 530 [51.5%] men and 56 980 [48.5%] women) with suspected sepsis. Lactate testing rates increased from 55.1% (95% CI, 53.9%-56.2%) in Q4 of 2013 to 76.7% (95% CI, 75.4%-78.0%) in Q4 of 2017, with a significant level change following SEP-1 implementation (odds ratio [OR], 1.34; 95% CI, 1.04-1.74). There were increases in use of anti-MRSA antibiotics (19.8% [95% CI, 18.9%-20.7%] in Q4 of 2013 to 26.3% [95% CI, 24.9%-27.7%] in Q4 of 2017) and antipseudomonal antibiotics (27.7% [95% CI, 26.7%-28.8%] in Q4 of 2013 to 40.5% [95% CI, 38.9%-42.0%] in Q4 of 2017), but these trends preceded SEP-1 and did not change with SEP-1 implementation. Unadjusted short-term mortality rates were similar in the pre-SEP-1 period (Q4 of 2013 through Q3 of 2015) vs the post-SEP-1 period (Q1 of 2016 through Q4 of 2017) (20.3% [95% CI, 20.0%-20.6%] vs 20.4% [95% CI, 20.1%-20.7%]), and SEP-1 implementation was not associated with changes in level (OR, 0.94; 95% CI, 0.68-1.29) or trend (OR, 1.00; 95% CI, 0.97-1.04) for risk-adjusted short-term mortality rates., Conclusions and Relevance: In this cohort study, SEP-1 implementation was associated with an immediate increase in lactate testing rates, no change in already-increasing rates of broad-spectrum antibiotic use, and no change in short-term mortality rates for patients with suspected sepsis. Other approaches to decrease sepsis mortality may be warranted.

Background: Hospital-specific template matching is a newer method of hospital performance measurement that may be fairer than regression-based benchmarking. However, it has been tested in only limited research settings., Objective: The objective of this study was to test the feasibility of hospital-specific template matching assessments in the Veterans Affairs (VA) health care system and determine power to detect greater-than-expected 30-day mortality., Research Design: Observational cohort study with hospital-specific template matching assessment. For each VA hospital, the 30-day mortality of a representative subset of hospitalizations was compared with the pooled mortality from matched hospitalizations at a set of comparison VA hospitals treating sufficiently similar patients. The simulation was used to determine power to detect greater-than-expected mortality., Subjects: A total of 556,266 hospitalizations at 122 VA hospitals in 2017., Measures: A number of comparison hospitals identified per hospital; 30-day mortality., Results: Each hospital had a median of 38 comparison hospitals (interquartile range: 33, 44) identified, and 116 (95.1%) had at least 20 comparison hospitals. In total, 8 hospitals (6.6%) had a significantly lower 30-day mortality than their benchmark, 5 hospitals (4.1%) had a significantly higher 30-day mortality, and the remaining 109 hospitals (89.3%) were similar to their benchmark. Power to detect a standardized mortality ratio of 2.0 ranged from 72.5% to 79.4% for a hospital with the fewest (6) versus most (64) comparison hospitals., Conclusions: Hospital-specific template matching may be feasible for assessing hospital performance in the diverse VA health care system, but further refinements are needed to optimize the approach before operational use. Our findings are likely applicable to other large and diverse multihospital systems., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Importance: Timely access to clinically appropriate obstetric services is critical to the provision of high-quality perinatal care., Objective: To examine the geographic distribution, proximity, and urban adjacency of US obstetric hospitals by annual birth volume., Design, Setting, and Participants: This retrospective population-based cohort study identified US hospitals with obstetric services using the American Hospital Association (AHA) Annual Survey of Hospitals and Centers for Medicare & Medicaid provider of services data from 2010 to 2018. Obstetric hospitals with 10 or more births per year were included in the study. Data analysis was performed from November 6, 2020, to April 5, 2021., Exposure: Hospital birth volume, defined by annual birth volume categories of 10 to 500, 501 to 1000, 1001 to 2000, and more than 2000 births., Main Outcomes and Measures: Outcomes assessed by birth volume category were percentage of births (from annual AHA data), number of hospitals, geographic distribution of hospitals among states, proximity between obstetric hospitals, and urban adjacency defined by urban influence codes, which classify counties by population size and adjacency to a metropolitan area., Results: The study included 26 900 hospital-years of data from 3207 distinct US hospitals with obstetric services, reflecting 34 054 951 associated births. Most infants (19 327 487 [56.8%]) were born in hospitals with more than 2000 births/y, and 2 528 259 (7.4%) were born in low-volume (10-500 births/y) hospitals. More than one-third of obstetric hospitals (37.4%; 10 064 hospital-years) were low volume. A total of 46 states had obstetric hospitals in all volume categories. Among low-volume hospitals, 18.9% (1904 hospital-years) were not within 30 miles of any other obstetric hospital and 23.9% (2400 hospital-years) were within 30 miles of a hospital with more than 2000 deliveries/y. Isolated hospitals (those without another obstetric hospital within 30 miles) were more frequently low volume, with 58.4% (1112 hospital-years) located in noncore rural areas., Conclusions and Relevance: In this cohort study, marked variations were found in birth volume, geographic distribution, proximity, and urban adjacency among US obstetric hospitals from 2010 to 2018. The findings related to geographic isolation and rural-urban distribution of low-volume obstetric hospitals suggest the need to balance proximity with volume to optimize effective referral and access to high-quality perinatal care.

Objectives: A major incident is any emergency requiring special arrangements by the emergency services. All hospitals are required by law to keep a major incident plan (MIP) detailing the response to such events. In 2006 and 2019, we assessed the preparedness and knowledge of key individuals in hospitals across England and found a substantial gap in responding to the MIP. In this report, we compare responses from doctors at major trauma centres (MTCs) and other hospitals (non-MTCs)., Methods: We identified trusts in England that received over 30 000 patients through the ED in the fourth quarter of 2016/2017. We contacted the on-call anaesthetic, emergency, general surgery and trauma and orthopaedic registrar at each location and asked three questions assessing their confidence in using their hospital's MIP: (1) Have you read your hospital's MIP? (2) Do you know where you can access your hospital's MIP guidelines? (3) Do you know what role you would play if an MIP came into effect while you are on call?We compared data from MTCs and non-MTCs using multinomial mixed proportional odds models., Results: There was a modest difference between responses from individuals at MTCs and non-MTCs for question 2 (OR=2.43, CI=1.03 to 5.73, p=0.04) but no evidence of a difference between question 1 (OR=1.41, CI=0.55 to 3.63, p=0.47) and question 3 (OR=1.78, CI=0.86 to 3.69, p=0.12). Emergency medicine and anaesthetic registrars showed significantly higher preparedness and knowledge across all domains. No evidence of a systematic difference in specialty response by MTC or otherwise was identified., Conclusions: Confidence in using MIPs among specialty registrars in England remains low. Doctors at MTCs tended to be better prepared and more knowledgeable, but this effect was only marginally significant. We make several recommendations to improve education on major incidents., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: Six forms relating to decisions on life-sustaining treatment (LST) for patients at the end-of-life (EOL) in hospital are required by the "Act on Decision of LST for Patients at the EOL." We investigated the preparation and creation status of these documents from the database of the National Agency for Management of LST., Materials and Methods: We analyzed the contents and details of each document necessary for decisions on LST, and the creation status of forms. We defined patients completing form 1 as "self-determined" of LST, and those whose family members had completed form 11/12 as "family decision" of LST. According to the determination subject, we compared the four items of LST on form 13 (the paper of implementation of LST) and the documentation time interval between forms., Results: The six forms require information about the patient, doctor, specialized doctor, family members, institution, decision for LST, and intention to use hospice services. Of 44,381 who had completed at least one document, 36,693 patients had form 13. Among them, 11,531, 10,976, and 12,551 people completed forms 1, 11, and 12, respectively. The documentation time interval from forms 1, 11, or 12 to form 13 was 8.6±13.6 days, 1.0±9.5 days, and 1.5±9.7 days, respectively., Conclusion: The self-determination rate of LST was 31% and the mean time interval from self-determination to implementation of LST was 8.6 days. The creation of these forms still takes place when the patients are close to death.

The COVID-19 pandemic has put massive strains on hospitals, and tools to guide hospital planners in resource allocation during the ebbs and flows of the pandemic are urgently needed. We investigate whether machine learning (ML) can be used for predictions of intensive care requirements a fixed number of days into the future. Retrospective design where health Records from 42,526 SARS-CoV-2 positive patients in Denmark was extracted. Random Forest (RF) models were trained to predict risk of ICU admission and use of mechanical ventilation after n days (n = 1, 2, …, 15). An extended analysis was provided for n = 5 and n = 10. Models predicted n-day risk of ICU admission with an area under the receiver operator characteristic curve (ROC-AUC) between 0.981 and 0.995, and n-day risk of use of ventilation with an ROC-AUC between 0.982 and 0.997. The corresponding n-day forecasting models predicted the needed ICU capacity with a coefficient of determination (R 2 ) between 0.334 and 0.989 and use of ventilation with an R 2 between 0.446 and 0.973. The forecasting models performed worst, when forecasting many days into the future (for large n). For n = 5, ICU capacity was predicted with ROC-AUC 0.990 and R 2 0.928, and use of ventilator was predicted with ROC-AUC 0.994 and R 2 0.854. Random Forest-based modelling can be used for accurate n-day forecasting predictions of ICU resource requirements, when n is not too large., (© 2021. The Author(s).)

Background: Survival after in-hospital cardiac arrest is poor, but current literature shows substantial heterogeneity in reported survival rates. This study aims to evaluate care for patients suffering in-hospital cardiac arrest (IHCA) in the Netherlands by assessing between-hospital heterogeneity in outcomes and to explain this heterogeneity stemming from differences in case-mix or differences in quality of care., Methods: A prospective multicentre study was conducted comprising 14 centres. All IHCA patients were included. The adjusted variation in structure and process indicators of quality of care and outcomes (in-hospital mortality and cerebral performance category [CPC] scale) was assessed with mixed effects regression with centre as random intercept. Variation was quantified using the median odds ratio (MOR), representing the expected odds ratio for poor outcome between two randomly picked centres., Results: After excluding centres with less than 10 inclusions (2 centres), 701 patients were included of whom, 218 (32%) survived to hospital discharge. The unadjusted and case-mix adjusted MOR for mortality was 1.19 and 1.05, respectively. The unadjusted and adjusted MOR for CPC score was 1.24 and 1.19, respectively. In hospitals where personnel received cardiopulmonary resuscitation (CPR) training twice per year, 183 (64.7%) versus 290 (71.4%) patients died or were in a vegetative state, and 59 (20.8%) versus 68 (16.7%) patients showed full recovery (p < 0.001)., Conclusion: In the Netherlands, survival after IHCA is relatively high and between-centre differences in outcomes are small. The existing differences in survival are mainly attributable to differences in case-mix. Variation in neurological outcome is less attributable to case-mix., (© 2021. The Author(s).)

Background: Although sedation during gastrointestinal endoscopy is widely used in China, the characteristics of sedation use, including regional distribution, personnel composition, equipment used, and drug selection, remain unclear. The present study aimed to provide insights into the current practice and regional distribution of sedation for gastrointestinal endoscopy in China., Methods: A questionnaire consisting of 19 items was distributed to directors of anaesthesiology departments and anaesthesiologists in charge of endoscopic sedation units in mainland China through WeChat., Results: The results from 2758 participating hospitals (36.7% of the total) showed that 9 808 182 gastroscopies (69.3%) and 4 353 950 colonoscopies (30.7%), with a gastroscopy-to-colonoscopy ratio of 2.3, were conducted from January to December 2016. Sedation was used with 4 696 648 gastroscopies (47.9%) and 2 148 316 colonoscopies (49.3%), for a ratio of 2.2. The most commonly used sedative was propofol (61.0% for gastroscopies and 60.4% for colonoscopies). Haemoglobin oxygen saturation (SpO 2 ) was monitored in most patients (96.1%). Supplemental oxygen was routinely administered, but the availability of other equipment was variable (anaesthesia machine in 64.9%, physiological monitor in 84.4%, suction device in 72.3%, airway equipment in 75.5%, defibrillator in 32.7%, emergency kit in 57.0%, and difficult airway kit in 20.8% of centres responding)., Conclusions: The sedation rate for gastrointestinal endoscopy is much lower in China than in the USA and in Europe. The most commonly used combination of sedatives was propofol plus an opioid (either fentanyl or sufentanil). Emergency support devices, such as difficult airway devices and defibrillators, were not usually available., (Copyright © 2021 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.)

Cerebral amyloid angiopathy (CAA) categorized as a cerebral small vessel disease can cause lobar intracerebral hemorrhage (ICH), convexity subarachnoid hemorrhage (SAH) and ischemic stroke (IS). The purpose of this study was to evaluate the differences in the diagnosis of CAA based on hospital characteristics and to assess the discharge outcomes of patients with CAA admitted for IS, ICH and SAH. Adult patients admitted with secondary diagnosis of CAA were identified in National Inpatient Sample in 2016 and 2017. Multivariable logistic regression analysis was performed to evaluate outcomes. A total of 16,040 patients had a secondary diagnosis of CAA. Among CAA patients, 1810 (11.3%) patients were admitted for IS, 4765 (29.7%) for ICH and 490 (3.1%) for SAH. Diagnosis of CAA was five-fold higher among patients admitted to urban teaching hospitals (aOR = 5.4;95% CI = 4.1-7.2) compared to rural hospitals and two-fold higher in large bed size hospitals (aOR = 2.3;95% CI = 2.0-2.7) compared to small bed size hospitals. Compared to non-CAA group, patients with history of CAA had lower odds of in-hospital mortality among patients admitted for ICH (10% vs 23%, aOR = 0.35; 95%CI = 0.27-0.44) and SAH (6% vs 19%, aOR = 0.24; 95%CI = 0.10-0.55); and higher odds of discharge to home among patients admitted for ICH (17% vs 18%, aOR = 1.27; 95%CI = 1.05-1.53). CAA diagnosis is less common in rural and small bed size hospitals compared to urban and large bedside hospitals, respectively. Patients with CAA admitted for ICH have better discharge outcomes compared to non-CAA patients admitted for ICH., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Most existing anterior cervical discectomy and fusion (ACDF) outcome studies omit emergency department (ED) use. To our knowledge, this study on ED use following ACDF surgery is the first to use a direct patient chart review and the first to include revision patients, 1-5 levels of ACDFs, and performance of corpectomy in the analysis. This study examines the frequency and basis of hospital service use within 30 days of ACDF surgery, specifically ED visits, hospital readmissions, and returns to the operating room. A retrospective chart review was performed for 1273 consecutive patients who underwent ACDF surgery at one institution from July 2013 to June 2016. Of the 1273 patients with ACDF, 97 (7.6%) presented to the ED within 30 days after surgery. Of 43 patients with revision ACDF, 9 (20.9%) returned to the ED, compared with 88 (7.2%) of 1230 patients with primary ACDF (P = 0.001). Of the 111 ED visits by 97 patients, 40 (36%) were for cervicalgia, 13 (12%) were for dysphagia, 8 (7%) were for trauma, 7 (6%) were for nausea, 4 (4%) were for medication refill, 3 (3%) were for dehiscence, 3 (3%) were for pneumonia, and 3 (3%) were for urinary tract infection. Of the ED presentations, 8 (7%) occurred during the first 2 days after surgery, and 46 (41%) occurred within the first postoperative week., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Competing Interests: Competing interests: None declared.

The Magnet Recognition Program® has a dedicated team of RNs and non-RNs who are committed to advancing nursing and supporting healthcare organizations on their Magnet® journeys. Healthcare organizations who are either Magnet-designated or applicants for Magnet designation regularly communicate with the various members of the Magnet program office team. This perspective will highlight the roles of the senior Magnet program analysts and the assistant director of Magnet program operations., Competing Interests: The author declares no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background Data on hospital variation in 30-day readmission rates after transcatheter aortic valve replacement (TAVR) are limited. Further, whether such variation is explained by differences in hospital characteristics and hospital practice patterns remains unknown. Methods and Results We used the 2017 Nationwide Readmissions Database to identify hospitals that performed at least 5 TAVRs. Hierarchical logistic regression models were used to examine between-hospital variation in 30-day all-cause risk-standardized readmission rate (RSRR) after TAVR and to explore reasons underlying hospital variation in 30-day RSRR. The study included 27 091 index TAVRs performed across 325 hospitals. The median (interquartile range) hospital-level 30-day RSRR was 11.9% (11.1%-12.8%) ranging from 8.8% to 16.5%. After adjusting for differences in patient characteristics, there was significant between-hospital variation in 30-day RSRR (hospital odds ratio, 1.59; 95% CI, 1.39-1.77). Differences in length of stay and discharge disposition accounted for 15% of the between-hospital variance in RSRRs. There was no significant association between hospital characteristics and 30-day readmission rates after TAVR. There was statistically significant but weak correlation between 30-day RSRR after TAVR and that after surgical aortic valve replacement, percutaneous coronary intervention, acute myocardial infarction, heart failure, and pneumonia ( r =0.132-0.298; P <0.001 for all). Causes of 30-day readmission varied across hospitals, with noncardiac readmissions being more common at the bottom 5% hospitals (ie, those with the highest RSRRs). Conclusions There is significant variation in 30-day RSRR after TAVR across hospitals that is not entirely explained by differences in patient or hospital characteristics as well as hospital-wide practice patterns. Noncardiac readmissions are more common in hospitals with the highest RSRRs.

Competing Interests: Mr. Masaki Nakamura is one of the board of directors in Medical Data Vision Co., Ltd and received personal salary from it outside this study. Dr. Hideki Ninomiya supports the Medical Data Vision Co, Ltd. in algorithm construction and received personal fee outside this study. The other authors report no conflicts of interest.

Continuous glucose monitors (CGMs) have suddenly become part of routine care in many hospitals. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. The use of CGMs to automatically and remotely supplement or replace assisted monitoring of blood glucose by bedside nurses can decrease: the amount of necessary nursing exposure to COVID-19 patients with diabetes; the amount of time required for obtaining blood glucose measurements, and the amount of personal protective equipment necessary for interacting with patients during the blood glucose testing. The United States Food and Drug Administration (FDA) is now exercising enforcement discretion and not objecting to certain factory-calibrated CGMs being used in a hospital setting, both to facilitate patient care and to obtain performance data that can be used for future regulatory submissions. CGMs can be used in the hospital to decrease the frequency of fingerstick point of care capillary blood glucose testing, decrease hyperglycemic episodes, and decrease hypoglycemic episodes. Most of the research on CGMs in the hospital has focused on their accuracy and only recently outcomes data has been reported. A hospital CGM program requires cooperation of physicians, bedside nurses, diabetes educators, and hospital administrators to appropriately select and manage patients. Processes for collecting, reviewing, storing, and responding to CGM data must be established for such a program to be successful. CGM technology is advancing and we expect that CGMs will be increasingly used in the hospital for patients with diabetes.

Background and Aim: Acute on chronic liver failure (ACLF) in patients with cirrhosis has high short-term mortality. Data comparing ACLF admissions to academic centers (AC) and non-academic centers (NAC) are scanty., Methods: National Inpatient Sample (2006-2014) was queried for admissions with cirrhosis and ACLF using the ICD-09 codes, and was stratified to AC or NAC., Results: Of 1,928,764 admissions with cirrhosis (2006-2014), 112,174 (5. 9%) had ACLF. 6.7% of 1,018,568 cirrhosis admissions to AC had ACLF versus 5% of 910,196 admissions to NAC, P < 0.0001. Proportion of ACLF admissions to AC increased from 49% during 2006-2008 to 59% during 2012-2014. In a cohort of 73,630 ACLF admissions (36,615 each to AC and NAC) matched for patient demographics, cirrhosis etiology, number of comorbidities, elective versus emergent admission, ACLF grade, and type of organ failure. In-hospital mortality declined by 7% over the study period, but remained higher in AC (46% vs. 42%, P < 0.001), with 11% increased odds for in-hospital mortality compared to admission to NAC. Further admissions to AC versus NAC had higher median (IQR) length of stay at 13 (6-25) versus 11 (5-20) days, with higher median (IQR) hospital charges: 138,239 (66,772-275,603) versus 116,209 (55,767-232,699) USD, P < 0.001 for both., Conclusion: Patients with ACLF have high in-hospital mortality. Further, this is higher among admissions to AC. Although the in-hospital mortality is improving, strategies are needed on early identification of patients with futility of care for early discussion on goals of care, and optimal utilization of hospital resources among admissions with ACLF.

The risk of overwhelming hospitals from multiple waves of COVID-19 is yet to be quantified. Here, we investigate the impact of different scenarios of releasing strong measures implemented around the U.S. on COVID-19 hospitalized cases and the risk of overwhelming the hospitals while considering resources at the county level. We show that multiple waves might cause an unprecedented impact on the hospitals if an increasing number of the population becomes susceptible and/or if the various protective measures are discontinued. Furthermore, we explore the ability of different mitigation strategies in providing considerable relief to hospitals. The results can help planners, policymakers, and state officials decide on additional resources required and when to return to normalcy., Competing Interests: No authors have competing interests.

COVID-19 is a global threat with an increasing number of infections. Research on IgG seroprevalence among health care workers (HCWs) is needed to re-evaluate health policies. This study was performed in three pandemic hospitals in Istanbul and Kocaeli. Different clusters of HCWs were screened for SARS-CoV-2 infection. Seropositivity rate among participants was evaluated by chemiluminescent microparticle immunoassay. We recruited 813 non-infected and 119 PCR-confirmed infected HCWs. Of the previously undiagnosed HCWs, 22 (2.7%) were seropositive. Seropositivity rates were highest for cleaning staff (6%), physicians (4%), nurses (2.2%) and radiology technicians (1%). Non-pandemic clinic (6.4%) and ICU (4.3%) had the highest prevalence. HCWs in "high risk" group had similar seropositivity rate with "no risk" group (2.9 vs 3.5 p = 0.7). These findings might lead to the re-evaluation of infection control and transmission dynamics in hospitals., Competing Interests: The authors have declared that no competing interests exist.

Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: This study aimed to determine if the implementation of large-scale patient safety initiatives have been successful in reducing overall and preventable adverse event rates in hospital inpatients., Design: The design used in this study was systematic review and meta-analysis., Data Resources: We followed our published protocol (PROSPERO [CRD42019140058]) and searched the following databases: PubMed, CINAHL, PsycINFO, Cochrane Library, and Embase from inception to February 2020. The reference lists of eligible studies were also searched., Eligibility: All longitudinal retrospective record review studies that examined adverse event rates before and after the introduction of patient safety initiatives in hospital inpatients were included., Data Extraction: Data extraction, quality, and risk of bias assessment were carried out by 2 independent reviewers. Information on study design, setting, demographics, interventions, and safety outcome measures was extracted., Results: A total of 3894 articles were screened, and 7 articles met the eligibility criteria for our systematic review with 5 of these providing sufficient information for inclusion in the meta-analysis. The degree of heterogeneity was high among studies. The meta-analysis demonstrated a minimal risk reduction in overall adverse event rates of 0.017 (95% confidence interval, 0.002-0.032) when the lower-quality studies were excluded, with one adverse event being prevented for every 59 hospital admissions., Conclusions: These findings are significant when the large numbers of admissions to a hospital every year are considered. Given the low numbers of large-scale implementation studies, there is a need for more research on the effectiveness of patient safety initiatives to further assess the impact of such initiatives on adverse events., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background and Purpose: Prior research has shown substantial shifts in procedure shares between specialty groups providing lumbar punctures. Our aim was to analyze national trends in lumbar punctures among the Medicare population from 2010 to 2018., Materials and Methods: Medicare Part B Physician/Supplier Procedure Summary Master Files from 2010 to 2018 were analyzed for all Current Procedural Terminology, Version 4 codes related to lumbar punctures (62270 and 62272). Lumbar puncture procedure volume and utilization rates were assessed and stratified by place of service and specialty background of the providers., Results: From 2010 to 2018, the overall number of lumbar puncture procedures essentially has not changed (92,579 versus 92,533). Radiologists hold the largest and an increasing procedure share of diagnostic and overall lumbar punctures (overall share, 45.7% in 2010 [ n  = 42,296] versus 52.3% in 2018 [ n  = 48,414]). Advanced practice providers have increased their procedure share (3.7% in 2010 [ n  = 3388] versus 8.4% in 2018 [ n  = 7785], + 129.8% procedure volume). Emergency medicine physicians and neurologists have a decreasing procedure share (21.8% versus 15.3% and 12.5% versus 8.8%, respectively). The inpatient hospital setting remains the largest place of service for lumbar punctures, recording a 5.3% increase in procedure share. The emergency department lumbar puncture volume has declined, with a 7.4% decrease in the overall procedure share. Similarly, the hospital outpatient department procedure volume has increased (+4%), while the private office volume has decreased (-1.7%)., Conclusions: During the past decade, lumbar puncture procedures among the Medicare population have remained stable, with a shift in procedure volume from the emergency department and private offices to the hospital setting, which has mainly affected radiologists and advanced practice providers., (© 2021 by American Journal of Neuroradiology.)

The coronavirus disease-19 (COVID-19) is caused by the novel severe acute respiratory syndrome coronavirus that was first detected at the end of December 2019. The epidemic has affected various regions of China in different degrees. As the situations evolve, the COVID-19 had been confirmed in many countries, and made a assessment that it can be characterized as a pandemic by the World Health Organization on March 11, 2020. Drugs are the main treatment of COVID-19 patients. Pharmaceutical service offers drug safety ensurance for COVID-19 patients. According to COVID-19 prevention and control policy and requirements, combined with series of diagnosis and treatment plans, pharmacists in the first provincial-level COVID-19 diagnosis and treatment unit in Jilin Province in Northeast China have established the management practices of drug supply and pharmaceutical care from four aspects: personnel, drugs supply management, off-label drug use management and pharmaceutical care. During the outbreak, the pharmaceutical department of THJU completed its assigned workload to ensure drug supply. So far, no nosocomial infections and medication errors have occurred, which has stabilized the mood of the staff and boosted the pharmacists' confidence in fighting the epidemic. For the treatment of COVID-19, pharmacists conducted adverse reaction monitoring and participated in the multidisciplinary consultation of COVID-19. Up to now, the COVID-19 patients admitted to THJU have not shown any new serious adverse reactions and been cured finally. The hospital pharmacy department timely adjusted the work mode, and the formed management practices is a powerful guarantee for the prevention and control of the COVID-19 epidemic. This paper summarized the details and practices of drug supply and pharmaceutical services management to provide experience for the people who involving in COVID-19 prevention and contain in other abroad epidemic areas., Competing Interests: None., (© 2020 Elsevier Inc. All rights reserved.)

Objective: Under the declaration of the state of alarm (SA) in efforts to control COVID-19, normal development of health programs was threatened. The aim of the study was the evaluation of COVID 19 emergency and SA approval impact on neonatal Endocrine and Metabolic Disorders Program (EMDP) and Neonatal Hearing Program (HP) in Madrid., Methods: Qualitative and quantitative descriptive study was conducted. Semistructured interview was designed and developed to picture newborn screening activities taking place from January 1st to 31st of April 2020. To describe the undergo rates of newborn screening, neonatal screening information system (RECRINE) and martenity and prenatal care units were studied. Differences were analyzed using Chi2 test (p value = 0.05)., Results: More than 70% interviews were reported. Early hospital discharges, between 24 and 48h, were made in more than 80% hospitals. Screening programs were adapted in more than 75% health care centers. EMDP 19 diseases, RECRINE and Clinical Reference Units (RCU) referral were conducted. No significant incidences were observed in diagnostic confirmation and treatment in the RCU. RCU were adapted because of the reorganization of health care. 88.5% of the hospitals showed higher than 95% coverage rates on Hearing screening and SEM. No differences were observed compared to the pre-epidemic period., Conclusions: Our study demonstrates PCN professionals resilience. The importance of designing periodic evaluations to understand and alleviate the COVID-19 impact is remarkable. We need to assure 2020 newborns attention health care quality., Competing Interests: Disclosure The authors report no conflicts of interest in this work.

Background: Provider profiling involves comparing the performance of hospitals on indicators of quality of care. Typically, provider profiling examines the performance of hospitals on each quality indicator in isolation. Consequently, one cannot formally examine whether hospitals that have poor performance on one indicator also have poor performance on a second indicator., Methods: We used Bayesian multivariate response random effects logistic regression model to simultaneously examine variation and covariation in multiple binary indicators across hospitals. We considered 7 binary patient-level indicators of quality of care for patients presenting to hospital with a diagnosis of acute stroke. We examined between-hospital variation in these 7 indicators across 86 hospitals in Ontario, Canada., Results: The number of patients eligible for each indicator ranged from 1321 to 14 079. There were 7 pairs of indicators for which there was a strong correlation between a hospital's performance on each of the 2 indicators. Twenty-nine of the 86 hospitals had a probability higher than 0.90 of having worse performance than average on at least 4 of the 7 indicators. Seven of the 86 of hospitals had a probability higher than 0.90 of having worse performance than average on at least 5 indicators. Fourteen of the 86 of hospitals had a probability higher than 0.50 of having worse performance than average on at least 6 indicators. No hospitals had a probability higher than 0.50 of having worse performance than average on all 7 indicators., Conclusions: These findings suggest that there are a small number of hospitals that perform poorly on at least half of the quality indicators, and that certain indicators tend to cluster together. The described methods allow for targeting quality improvement initiatives at these hospitals.

Background and Purpose: Inter-hospital transfer for ischemic stroke is an essential part of stroke system of care. This study aimed to understand the national patterns and outcomes of ischemic stroke transfer., Methods and Results: This retrospective study examined Medicare beneficiaries aged ≥65 years undergoing inter-hospital transfer for ischemic stroke in 2012. Cox proportional hazards model was used to compare 30-day and one-year mortality between transferred patients and direct admissions from the emergency department (ED admissions). Among 312,367 ischemic stroke admissions, 5.7% underwent inter-hospital transfer. Using this value as cut-off, the hospitals were classified into receiving (n = 411), sending (n = 559), and low-transfer (n = 1863) hospitals. Receiving hospitals were larger than low-transfer and sending hospitals as demonstrated by the median bed number (371, 189, and 88, respectively, p < 0.001); more frequently to be certified stroke centers (75%, 47%, and 16%, respectively, p < 0.001); and less commonly located in the rural area (2%, 7%, and 24%, respectively, p < 0.001). For receiving hospitals, transfer-in patients and ED admissions had comparable mortality at 30 days (10% vs 10%; adjusted HR [aHR]=1.07; 95% CI, 0.99-1.14) and 1 year (23% vs 24%; aHR=1.03; 95% CI, 0.99-1.08). For sending hospitals, transfer-out patients, compared to ED admissions, had higher mortality at 30 days (14% vs 11%; aHR=1.63; 95% CI, 1.39-1.91) and 1 year (30% vs 27%; aHR=1.33; 95% CI, 1.20-1.48). For low-transfer hospitals, overall transfer-in and transfer-out patients, compared to ED admissions, had higher mortality at 30 days (13% vs 10%; aHR=1.46; 95% CI, 1.33-1.60) and 1 year (28% vs 25%; aHR=1.27; 95% CI, 1.19-1.36)., Conclusions: Hospitals in the US, based on their transfer patterns, could be classified into 3 groups that shared distinct characteristics including hospital size, rural vs urban location, and stroke certification. Transferred patients at sending and low-transfer hospitals had worse outcomes than their ED admission counterpart., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Recent policy reforms in Germany require the introduction of a performance pay component with bonus-malus incentives in the inpatient care sector. We conduct a controlled online experiment with real hospital physicians from public hospitals and medical students in Germany, in which we investigate the effects of introducing a performance pay component with bonus-malus incentives to a simplified version of the German Diagnosis Related Groups (DRG) system using a sequential design with stylized routine cases. In both parts, participants choose between the patient optimal and profit maximizing treatment option for the same eight stylized routine cases. We find that the introduction of bonus-malus incentives only statistically significantly increases hospital physicians' proportion of patient optimal choices for cases with high monetary baseline DRG incentives to choose the profit maximizing option. Medical students behave qualitatively similar. However, they are statistically significantly less patient oriented than real hospital physicians, and statistically significantly increase their patient optimal decisions with the introduction of bonus-malus incentives in all stylized routine cases. Overall, our results indicate that whether the introduction of a performance pay component with bonus-malus incentives to the (German) DRG system has a positive effect on the quality of care or not particularly depends on the monetary incentives implemented in the DRG system as well as the type of participants and their initial level of patient orientation.

Background: Postacute care is a major driver of cardiac surgical episode spending, but the sources of variation in spending have not been explored. The objective of this study was to identify sources of variation in postacute care spending within 90-days of discharge following coronary artery bypass grafting (CABG) and aortic valve replacement (AVR) and the relationship between postacute care spending and other postdischarge utilization., Methods and Results: A retrospective analysis was conducted of public and private administrative claims for Michigan residents insured by Medicare fee-for-service and Blue Cross Blue Shield of Michigan/Blue Care Network commercial and Medicare Advantage plans undergoing CABG (n=11 208) or AVR (n=6122) in 33 nonfederal acute care Michigan hospitals between January 1, 2015 and December 31, 2018. Postacute care use was present in 9662 (86.2%) CABG episodes and 4242 (69.3%) AVR episodes, with respective mean (SD) 90-day spending of $4398±$6124 and $3465±$5759. Across hospitals, mean postacute care spending ranged from $3280 to $8186 for CABG and $2246 to $7710 for AVR. Inpatient rehabilitation and skilled nursing facility care accounted for over 80% of the variation spending between low and high postacute care spending hospitals. At the hospital-level, postacute care spending was modestly correlated across procedures and payers. Spending associated with readmissions, emergency department visits, and outpatient facility care was significantly different between low and high postacute care spending hospitals in CABG and AVR episodes., Conclusions: There was wide hospital variation in postacute care spending after cardiac surgery, which was primarily driven by differential use and intensity in facility-based postacute care. Optimizing facility-based postacute care after cardiac surgery offers unique opportunities to reduce potentially unwarranted care variation.

Importance: Rigorous evidence describing the relationship between private equity acquisition and changes in hospital spending and quality is currently lacking., Objective: To examine changes in hospital income, use, and quality measures that may be associated with private equity acquisition., Design, Setting, and Participants: This cohort study identified 204 hospitals acquired by private equity firms from 2005 to 2017 and 532 matched hospitals not acquired by private equity. Using a difference-in-differences design, this study evaluated changes in net income, charges, charge to cost ratios, case mix index (a measure of reported illness burden), share of discharges for patients with Medicare or Medicaid coverage, discharges per year, and aggregate hospital quality measures associated with private equity acquisition through 3 years after acquisition, adjusted for case mix, hospital beds, calendar year, and adjustment for multiple hypothesis testing. In subgroup analyses, changes in outcomes for private equity-owned Hospital Corporation of America (HCA) hospitals and non-HCA hospitals relative to matched controls were assessed., Primary Outcomes and Measures: Eight hospital income and use measures and 3 aggregate hospital quality measures were examined., Results: Relative to 532 control hospitals, the 204 private equity-acquired hospitals showed a mean increase of $2 302 391 (95% CI, $956 660-$3 648 123; P = .009) in annual net income, an increase of $407 (95% CI, $296-$518; P < .001) in total charge per inpatient day, an increase of 0.61 (95% CI, 0.48-0.73; P < .001) in emergency department charge to cost ratio, an increase of 0.31 (95% CI, 0.26-0.37; P < .001) in total charge to cost ratio, an increase of 0.02 (95% CI, 0.01-0.02; P = .007) in case mix index, and a decrease of 0.96% (95% CI, 0.46%-1.45%; P = .002) in share of Medicare discharges. Medicaid's share of discharges (-0.16%; 95% CI, -0.86% to 0.53%; P > .99) and total hospital discharges (98; 95% CI, -54 to 250; P > .99) did not change differentially in a statistically significant manner. The aggregate quality score for acute myocardial infarction increased by 3.3% (95% CI, 1.6%-5.0%; P = .002), and the aggregate score for pneumonia increased by 2.9% (95% CI, 1.8%-3.9%; P < .001) in private equity-acquired hospitals relative to controls. The aggregate score for heart failure (1.3%; 95% CI, -0.2% to 2.7%; P = .92) did not differentially change in a statistically significant manner. In subgroup analyses, HCA hospitals showed similar findings to the entire sample. Among non-HCA hospitals, the only statistically significant relative changes were the increase in the emergency department charge to cost ratio (0.30; 95% CI, 0.12-0.48; P = .02) and the decrease in Medicare's share (-1.15%; 95% CI, -1.88% to -0.43%; P = .02). Non-HCA hospitals showed a decrease in the aggregate heart failure score (-3.3%; 95% CI, -5.3% to -1.3%; P = .01) and no statistically significant changes in the aggregate score for acute myocardial infarction (2.4%; 95% CI, -0.7% to 5.4%; P > .99) or pneumonia (0.2%; 95% CI, -1.4% to 1.7%; P > .99)., Conclusions and Relevance: Hospitals acquired by private equity were associated with larger increases in net income, charges, charge to cost ratios, and case mix index as well as with improvement in some quality measures after acquisition relative to nonacquired controls. Heterogeneity in some findings was observed between HCA and non-HCA hospitals.

Background: Multidisciplinary chronic pain management includes many types of interventional pain procedures. However, navigating the landscape of providers offering such services is challenging., Objective: We investigated whether stakeholders (e.g., patients, referring physicians, hospital administrators, nurses working for insurance companies, and state officials) could accurately judge the diversity of interventional services actually provided based on information gathered from hospital Web sites., Study Design: This was an observational cohort study., Setting: All 119 nonfederal hospitals in Iowa were included in the study., Methods: We recorded the publicly available data presented on all hospital Web pages related to interventional pain procedures. We counted the listed types of procedures and numbers of pain medicine physicians portrayed. We compared those results with actual performed interventional pain procedures calculated using contemporaneous data from the Iowa Hospital Association. The diversity of types of procedures performed was quantified using the inverse of the Herfindahl index., Results: No pain medicine physician was identified on the Web site for 87.4% of hospitals. Such hospitals accounted for 61.4% of the interventional pain procedures performed statewide. The partial Kendall correlation between the count of types of procedures listed on Web sites and the number of pain medicine physicians, controlling for the performed procedures during the year, was too small to be informative: 0.22 (95% Confidence Interval [CI], 0.07 to 0.38; P = .005). The one-sided upper confidence limit that included 0.50 (i.e., moderate) was the 99.98% limit. The partial correlation between the count of types of procedures listed on Web sites and the actual diversity of types of procedures performed, controlling for the performed procedures during the year, was not statistically significant: 0.12 (95% CI, -0.03 to 0.28; P = .12). The partial Kendall correlation between the number of pain medicine physicians listed on the Web sites and the diversity of types of procedures performed was not significant: 0.03 (95% CI, -0.13 to 0.19; P = .73)., Limitations: This study was limited to the state of Iowa, where we found that 38.6% of interventional pain procedures were performed at hospitals with at least one pain medicine physician. The 38.6% is substantively less than the corresponding estimate of 54.2% for the state of Florida. The estimate of 38.6% exceeds the estimate of 30.4% for critical access hospitals in the United States nationwide. Although the heterogeneity is as expected, it shows that findings are likely to be heterogeneous across regions., Conclusions: Stakeholders could not have accurate awareness of the spectrum of services provided by multidisciplinary pain medicine clinics and physicians based on currently reported data, even if they sought it out from publicly available information. Transparency will need to come from pain medicine physicians, at facilities providing the full diversity of services, releasing quantitative data about the services that they provide (e.g., counts by procedure).

Introduction: Antimicrobial use is associated with emergence of antimicrobial resistance. We report hospital antimicrobial procurement, as a surrogate for consumption in humans, expenditure and prices in public hospitals in Vietnam, a lower middle-income country with a high burden of drug resistant infections., Method: Data on antimicrobial procurement were obtained from tender-winning bids from provincial health authorities and public hospitals with detailed bids representing 28.7% (1.68 / 5.85 billion US $) of total hospital medication spend in Vietnam. Antimicrobials were classified using the Anatomical Therapeutic Chemical (ATC) Index and the 2019 WHO Access, Watch, Reserve (AWaRe) groups. Volume was measured in number of Defined Daily Doses (DDD). Antimicrobial prices were presented per DDD., Results: Expenditure on systemic antibacterials and antifungals accounted for 28.6% (US $482.6 million/US $1.68 billion) of the total drug bids. 83% of antibacterials (572,698,014 DDDs) by volume (accounting for 45.5% of the antibacterials spend) were domestically supplied. Overall, the most procured antibacterials by DDD were second generation cephalosporins, combinations of penicillins and beta-lactamase inhibitors, and penicillins with extended spectrum. For parenteral antibacterials this was third generation cephalosporins. The average price for antibacterials was US $15.6, US $0.86, US $0.4 and US $11.7 per DDD for Reserve, Watch, Access and non-recommended/unclassified group antibacterials, respectively., Conclusions: Antimicrobials accounted for a substantial proportion of the funds spent for medication in public hospitals in Vietnam. The pattern of antibacterial consumption was similar to other countries. The high prices of Reserve group and non-recommended/unclassified antibacterials suggests a need for a combination of national pricing and antimicrobial stewardship policies to ensure appropriate accessibility., Competing Interests: The authors have declared that no competing interests exist.

Overcrowding in Emergency Departments is often considered as an outcome of insufficient access to hospital beds or primary care, therefore a potential lack of health resources. We sought to describe the quantitative evolution of health resources in the French health care system, in comparison with demographic and epidemiologic parameters that reflect health needs. Overall, in the last decade, parameters of capacity and human resources stagnated while activity and spending increased jointly, stimulated by ageing of the population and chronic diseases mostly. Nevertheless, recent official previsions have again recommended to proceed with hospital bed reduction until 2030. This has led to a dangerous saturation of emergency care and to the ongoing systemic health crisis. This situation will require ambitious health resources reinforcement plans in both hospital and primary care. Furthermore, ageing of the population and chronic diseases must lead society to deliberate on the fundamental goals and funding of our health care system., (Copyright © 2020. Published by Elsevier Masson SAS.)

Since the first report of the 2019 novel coronavirus disease (COVID-19) in December 2019 in Wuhan, China, the outbreak of the disease has been continuously evolving. Until March 17, 2020, 185, 178 cases had been confirmed, including 81,134 cases in China and 104,044 cases outside of China. In this comment, we report the unexpected beneficial effect of a deployable rapid-assembly shelter hospital on the prevention and treatment of COVID-19. We describe the shelter hospital maintenance, treatment mode and primary treatment methods, which will provide a valuable experience in dealing with public health emergencies, such as COVID-19, for other countries and areas.

The ongoing pandemic coronavirus disease 19 (COVID-19) remains a significant issue for global health, economics, and society. In order to balance epidemic control and economic recovery, many countries have successively announced the gradual relaxation of some lockdown restrictions. Hospitals and medical staff constitute the backbone in this war against COVID-19. In response to this serious situation, many hospitals went into emergency and impaired healthcare access to patients with conditions other than COVID-19. Therefore, gradually promoting hospital operations and functions back to the new normal is important, especially when this outbreak has been effectively controlled. In this study, we introduce existing and potential problems that could seriously affect people's health. Additionally, we propose that an especial transition phase between the emergency and regular modes of hospitals can be well adapted to the current situation.

Hospitalists are well poised to serve in key leadership roles and in frontline care in particular when facing a pandemic such as the SARS-CoV-2 (COVID-19) infection. Much of the disaster planning in hospitals around the country addresses overcrowded emergency departments and decompressing these locations; however, in the case of COVID-19, intensive care units, emergency departments, and medical wards ran the risk of being overwhelmed by a large influx of patients needing high-level medical care. In a matter of days, our Division of Hospital Medicine, in partnership with our hospital, health system, and academic institution, was able to modify and deploy existing disaster plans to quickly care for an influx of medically complex patients. We describe a scaled approach to managing hospitalist clinical operations during the COVID-19 pandemic.

Background: U.S. hospital markets have undergone consolidation in recent decades with the growth of large "health systems," but little is known about the characteristics of systems, and whether certain geographic areas or service types (e.g. intensive care, obstetrics) have been differentially impacted by consolidation., Methods: Using 2007-2017 American Hospital Association data, we characterized health systems and their growth, and determined how changes in hospital market structure have differentially affected specific service types and geographic areas., Results: Despite a national trend of reduced hospital utilization, health systems grew larger during our study period. Hospital markets were already highly concentrated in 2007 and became even more concentrated between 2007 and 2017, across all service types that we measured. The least concentrated service was emergency department care, while intensive care and obstetrics were the most concentrated. As of 2017, 19.0% of markets - representing 11.2 million Americans - are served by only one hospital system. Concentrated markets are less populous, poorer areas and have lower physician supply than less concentrated markets., Conclusions: Hospital markets were highly concentrated in 2007 and have since become more concentrated in the subsequent decade. Hospital consolidation is a nationwide phenomenon, and is occurring across hospital service types., Implications: Antitrust alone may be insufficient to address high and increasing hospital market power. Decreasing barriers to entry may allow for more competition., (Copyright © 2020 Elsevier Inc. All rights reserved.)