Comparison of 3 Safety-Net Hospital Definitions and Association With Hospital Characteristics

Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population

BACKGROUND

The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model.

METHODS

This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics.

RESULTS

A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55).

CONCLUSIONS

The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Tracheostomy Outcomes in COVID-19 Patients in a Low Resource Setting

OBJECTIVES

COVID-19 predominately affects safety net hospitals. Tracheostomies improve outcomes and decrease length of stay for COVID-19 patients. Our objectives are to determine if (1) COVID-19 tracheostomies have similar complication and mortality rates as non-COVID-19 tracheostomies and (2) to determine the effectiveness of our tracheostomy protocol at a safety net hospital.

METHODS

Patients who underwent tracheostomy at Los Angeles County Hospital between August 2009 and August 2020 were included. Demographics, SARS-CoV-2 status, body mass index (BMI), Charlson Co-morbidity Index (CCI), length of intubation, complication rates, decannulation rates, and 30-day all-cause mortality versus tracheostomy related mortality rates were all collected.

RESULTS

Thirty-eight patients with COVID-19 and 130 non-COVID-19 patients underwent tracheostomies. Both groups were predominately male with similar BMI and CCI, though the COVID-19 patients were more likely to be Hispanic and intubated for a longer time (P = .034 and P < .0001, respectively). Both groups also had similar, low intraoperative complications at 2% to 3% and comparable long-term post-operative complications. However, COVID-19 patients had more perioperative complications within 7 days of surgery (P < .01). Specifically, they were more likely to have perioperative bleeding at their tracheostomy sites (P = .03) and long-term post-operative mucus plugging (P < .01). However, both groups had similar 30-day mortality rates. There were no incidences of COVID-19 transmission to healthcare workers.

CONCLUSIONS

COVID-19 tracheostomies are safe for patients and healthcare workers. Careful attention should be paid to suctioning to prevent mucus plugging.

LEVEL OF EVIDENCE

3.

Impact of Psychological Distress on Treatment Timeliness in Oncology Patients at a Safety-Net Hospital

BACKGROUND

Psychological distress is common in patients with cancer. Distress can affect patients' engagement with treatment. We examined the relationship between psychological distress and treatment timeliness in a sample of adult oncology patients at a safety-net hospital.

METHODS

A retrospective review was conducted of all patients screened for distress at a first outpatient oncology visit between March 1, 2014, and December 31, 2015 (n=500). The analytic sample (n=96) included patients with a new cancer diagnosis and a curative-intent treatment plan for lymphoma (stage I-IV), solid tumor malignancy (stage I-III), or head and neck cancer (stage I-IVb). Distress was measured using the Hospital Anxiety and Depression Scale. Using Poisson regression, we determined the effects of depression and anxiety on treatment timeliness. Patient age, sex, race/ethnicity, insurance type, cancer site, and cancer stage were included as covariates.

RESULTS

Mean patient age was 54 years. The median treatment initiation interval was 28 days. Clinically significant anxiety was present in 34% of the sample, and clinically significant depression in 15%. Greater symptom severity in both anxiety and depression were associated with a longer treatment initiation interval after controlling for demographics and disease factors. The average days to treatment (DTT) was 4 days longer for patients with elevated anxiety scores and for those with elevated depression scores compared with those without. Overall survival was not associated with anxiety, depression, or DTT.

CONCLUSIONS

In this safety-net patient sample, greater psychological distress was associated with slower time to treatment. As of writing, this is a new finding in the literature, and as such, replication studies utilizing diverse samples and distress measurement tools are needed.

Reply

OBJECTIVES

To compare pre-orchiectomy sperm cryopreservation use in testicular cancer patients at a private tertiary care academic center and an affiliated public safety-net hospital.

METHODS

This was a retrospective cohort study of patients who underwent radical orchiectomy for testicular cancer at a private tertiary-care hospital, which cared primarily for patients with private health insurance, and at a public "safety-net" facility, which cared for patients regardless of insurance status. Clinical and demographic predictors of cryopreservation use prior to orchiectomy were determined by chart review.

RESULTS

A total of 201 patients formed the study cohort, 106 (53%) at the safety-net hospital and 95 (47%) at the private hospital. Safety net patients were more likely to be non-White (82% vs 15%, p < 0.001), uninsured (80% vs 12%, p < 0.001), Spanish speaking (38% vs 5.6%, p < 0.001), and to reside in areas in the bottom quartile of income (41% vs 5.6%, p < 0.001). On multivariable analysis, treatment at the private tertiary care center was strongly associated with use of cryopreservation (OR 5.60, 95% CI 1.74 - 20.4, p = 0.005, though the effects of specific demographic factors could not be elucidated due to collinearity.

CONCLUSIONS

Among patients with testicular cancer, disparities exist in use of sperm cryopreservation between the private and safety-net settings. Barriers to the use of cryopreservation in the safety-net population should be sought and addressed.

Antiviral Therapy Reduces Risk of Cirrhosis in Noncirrhotic HBV Patients Among 4 Urban Safety-Net Health Systems

INTRODUCTION

To evaluate the impact of chronic hepatitis B virus infection (CHB) treatment on risk of cirrhosis, liver-related outcomes, and death among a diverse CHB cohort with a large proportion of African Americans.

METHODS

Adults with noncirrhotic CHB without human immunodeficiency virus from 2010 to 2018 were retrospectively evaluated across 4 US safety-net health systems. CHB was identified with International Classification of Diseases, Ninth Revision/Tenth Revision diagnosis coding and confirmatory laboratory data. Propensity-score matching, Kaplan-Meier methods, and adjusted Cox proportional hazards models were used to evaluate impact of CHB treatment on risk of cirrhosis, hepatocellular carcinoma (HCC), death, and composite of cirrhosis, HCC, or death.

RESULTS

Among 4,064 CHB patients (51.9% female, 42.0% age <45 years, 31.6% African American, 26.6% Asian, 26.7% Hispanic), 23.2% received CHB antiviral therapy and 76.8% did not. Among the propensity score-matched cohort (428 treated and 428 untreated), CHB treatment was associated with lower risk of cirrhosis (hazards ratio 0.65, 95% confidence interval 0.46-0.92, P = 0.015) and composite of cirrhosis, HCC, or death (hazards ratio 0.67, 95% confidence interval 0.49-0.94, P = 0.023). Females vs males and African Americans vs non-Hispanic whites had significantly lower risk of cirrhosis. When treatment effects were stratified by age, sex, and ethnicity, the benefits of antiviral therapies in reducing risk of cirrhosis were seen primarily in CHB patients who were females, age <45 years, and of Asian ethnicity.

DISCUSSION

Our propensity score-matched cohort of noncirrhotic CHB patients demonstrated significant reductions in risk of cirrhosis due to CHB treatment.

Availability of Pediatric Inpatient Services in the United States

OBJECTIVES

We sought to evaluate trends in pediatric inpatient unit capacity and access and to measure pediatric inpatient unit closures across the United States.

METHODS

We performed a retrospective study of 4720 US hospitals using the 2008-2018 American Hospital Association survey. We used linear regression to describe trends in pediatric inpatient unit and PICU capacity. We compared trends in pediatric inpatient days and bed counts by state. We examined changes in access to care by calculating distance to the nearest pediatric inpatient services by census block group. We analyzed hospital characteristics associated with pediatric inpatient unit closure in a survival model.

RESULTS

Pediatric inpatient units decreased by 19.1% (34 units per year; 95% confidence interval [CI] 31 to 37), and pediatric inpatient unit beds decreased by 11.8% (407 beds per year; 95% CI 347 to 468). PICU beds increased by 16.0% (66.9 beds per year; 95% CI 53 to 81), primarily at children's hospitals. Rural areas experienced steeper proportional declines in pediatric inpatient unit beds (-26.1% vs -10.0%). Most states experienced decreases in both pediatric inpatient unit beds (median state -18.5%) and pediatric inpatient days (median state -10.0%). Nearly one-quarter of US children experienced an increase in distance to their nearest pediatric inpatient unit. Low-volume pediatric units and those without an associated PICU were at highest risk of closing.

CONCLUSIONS

Pediatric inpatient unit capacity is decreasing in the United States. Access to inpatient care is declining for many children, particularly those in rural areas. PICU beds are increasing, primarily at large children's hospitals. Policy and surge planning improvements may be needed to mitigate the effects of these changes.

Comparing definitions of a pediatric emergency department

OBJECTIVE

Health services research on the differences in care between pediatric and general emergency departments (EDs) is limited by ambiguity regarding the definition of a pediatric ED. Our goal was to determine the proportion of EDs captured by commonly used definitions of pediatric ED.

METHODS

We linked data for 2016 from two databases from New York State - the State Emergency Department Database and State Inpatient Database (SEDD/SID) and the National Emergency Department Inventory-USA (NEDI-USA). We examined the following 4 common definitions of pediatric ED: (1) admission capability, (2) physically distinct pediatric area in the ED, (3) membership in the Children's Hospital Association, and (4) volume of pediatric ED visits (patients <18 years ). We calculated the proportion of EDs that would be defined as pediatric for each criterion. We also examined the differences in patient demographics among pediatric EDs based on each criterion.

RESULTS

A total of 160 New York EDs were included in the linked databases. Across the 4 criteria, the proportion of EDs meeting the definition of pediatric ranged from 0% to 86%. Of the EDs, 86% had pediatric admission capability, 27%-38% had a physically distinct pediatric ED, and 8% were members of the Children's Hospital Association. No hospitals met the SEDD/SID criterion of ≥70% visits for patients <18 years.

DISCUSSION

The number of EDs and characteristics of patients seen varied widely based on the criterion used to define pediatric ED. Database linkage may make it challenging to identify pediatric hospitals in administrative data sets. A valid, standard definition of pediatric ED is critically needed to advance health services research.

Interprofessional Consultations (eConsults) in Urology

INTRODUCTION

An interprofessional consultation (eConsult) is an asynchronous form of telehealth whereby a primary care provider requests electronic consultation with a specialist in place of an in-person consultation. While eConsults have been successfully implemented in many medical specialties, their use in the practice of urology is relatively unknown.

METHODS

We included data from four academic institutions: University of Michigan, University of California -San Francisco, University of Washington, and Montefiore Medical Center. We included every urological eConsult performed at each institution from the launch of their respective programs through August 2019. We considered an eConsult "converted" when the participating urologist recommended a full in-person evaluation. We report eConsult conversion rate, response time, completion time, and diagnosis categories.

RESULTS

A total of 462 urological eConsults were requested. Of these, 36% were converted to a traditional in-person visit. Among resolved eConsults, with data on provider response time available (n=119),53.8% of eConsults were addressed in less than 1 day; 28.6% in 1 day; 8.4% in 2 days; 3.4% in 3 days; 3.4% in 4 days; 1.7% in 5 days; and 0.8% in ≥6 days. Among resolved eConsults, with data on provider completion time available (n=283), 50.2% were completed in 1-10 minutes; 46.7% in 11-20 minutes; 2.8% in 21-30 minutes; and less than 1% in ≥31 minutes.

DISCUSSION

Our study suggests that eConsults are an effective avenue for urologists to provide recommendations for many common non-surgical urological conditions and thus avoid a traditional in-person for low-complexity situations. Further investigation into the impact of eConsults on healthcare costs and access to urological care are necessary.

Association of Medicaid Expansion With Quality in Safety-Net Hospitals

IMPORTANCE

Safety-net hospitals (SNHs) operate under limited financial resources and have had challenges providing high-quality care. Medicaid expansion under the Affordable Care Act led to improvements in hospital finances, but whether this was associated with better hospital quality, particularly among SNHs given their baseline financial constraints, remains unknown.

OBJECTIVE

To compare changes in quality from 2012 to 2018 between SNHs in states that expanded Medicaid vs those in states that did not.

DESIGN, SETTING, AND PARTICIPANTS

Using a difference-in-differences analysis in a cohort study, performance on quality measures was compared between SNHs, defined as those in the highest quartile of uncompensated care in the pre-Medicaid expansion period, in expansion vs nonexpansion states, before and after the implementation of Medicaid expansion. A total of 811 SNHs were included in the analysis, with 316 in nonexpansion states and 495 in expansion states. The study was conducted from January to November 2020.

EXPOSURES

Time-varying indicators for Medicaid expansion status.

MAIN OUTCOMES AND MEASURES

The primary outcome was hospital quality measured by patient-reported experience (Hospital Consumer Assessment of Healthcare Providers and Systems Survey), health care-associated infections (central line-associated bloodstream infections, catheter-associated urinary tract infections, and surgical site infections following colon surgery) and patient outcomes (30-day mortality and readmission rates for acute myocardial infarction, heart failure, and pneumonia). Secondary outcomes included hospital financial measures (uncompensated care and operating margins), adoption of electronic health records, provision of safety-net services (enabling, linguistic/translation, and transportation services), or safety-net service lines (trauma, burn, obstetrics, neonatal intensive, and psychiatric care).

RESULTS

In this difference-in-differences analysis of a cohort of 811 SNHs, no differential changes in patient-reported experience, health care-associated infections, readmissions, or mortality were noted, regardless of Medicaid expansion status after the Affordable Care Act. There were modest differential increases between 2012 and 2016 in the adoption of electronic health records (mean [SD]: nonexpansion states, 99.4 [7.4] vs 99.9 [3.8]; expansion states, 94.6 [22.6] vs 100.0 [2.2]; 1.7 percentage points; P = .02) and between 2012 and 2018 in the number of inpatient psychiatric beds (mean [SD]: nonexpansion states, 24.7 [36.0] vs 23.6 [39.0]; expansion states: 29.3 [42.8] vs 31.4 [44.3]; 1.4 beds; P = .02) among SNHs in expansion states, although they were not statistically significant at a threshold adjusted for multiple comparisons. In subgroup analyses comparing SNHs with higher vs lower baseline operating margins, an isolated differential improvement was noted in heart failure readmissions among SNHs with lower baseline operating margins in expansion states (mean [SD], 22.8 [2.1]; -0.53 percentage points; P = .001).

CONCLUSIONS AND RELEVANCE

This difference-in-differences cohort study found that despite reductions in uncompensated care and improvements in operating margins, there appears to be little evidence of quality improvement among SNHs in states that expanded Medicaid compared with those in states that did not.

Processes of care and outcomes for homeless patients hospitalised for cardiovascular conditions at safety-net versus non-safety-net hospitals: cross-sectional study

OBJECTIVES

Evidence suggests that homeless patients experience worse quality of care and poorer health outcomes across a range of medical conditions. It remains unclear, however, whether differences in care delivery at safety-net versus non-safety-net hospitals explain these disparities. We aimed to investigate whether homeless versus non-homeless adults hospitalised for cardiovascular conditions (acute myocardial infarction (AMI) and stroke) experience differences in care delivery and health outcomes at safety-net versus non-safety-net hospitals.

DESIGN

Cross-sectional study.

SETTING

Data including all hospital admissions in four states (Florida, Massachusetts, Maryland, and New York) in 2014.

PARTICIPANTS

We analysed 167 105 adults aged 18 years or older hospitalised for cardiovascular conditions (age mean=64.5 years; 75 361 (45.1%) women; 2123 (1.3%) homeless hospitalisations) discharged from 348 hospitals.

OUTCOME MEASURES

Risk-adjusted diagnostic and therapeutic procedure and in-hospital mortality, after adjusting for patient characteristics and state and quarter fixed effects.

RESULTS

At safety-net hospitals, homeless adults hospitalised for AMI were less likely to receive coronary angiogram (adjusted OR (aOR), 0.42; 95% CI, 0.36 to 0.50; p<0.001), percutaneous coronary intervention (aOR, 0.52; 95% CI, 0.44 to 0.62; p<0.001) and coronary artery bypass graft (aOR, 0.43; 95% CI, 0.26 to 0.71; p<0.01) compared with non-homeless adults. Homeless patients treated for strokes at safety-net hospitals were less likely to receive cerebral arteriography (aOR, 0.23; 95% CI, 0.16 to 0.34; p<0.001), but were as likely to receive thrombolysis therapy. At non-safety-net hospitals, we found no evidence that the probability of receiving these procedures differed between homeless and non-homeless adults hospitalised for AMI or stroke. Finally, there were no differences in in-hospital mortality rates for homeless versus non-homeless patients at either safety-net or non-safety-net hospitals.

CONCLUSION

Disparities in receipt of diagnostic and therapeutic procedures for homeless patients with cardiovascular conditions were observed only at safety-net hospitals. However, we found no evidence that these differences influenced in-hospital mortality markedly.

Defining safety net hospitals in the health services research literature: a systematic review and critical appraisal

Background

The aim of this study was to identify the range of ways that safety net hospitals (SNHs) have been empirically operationalized in the literature and determine the extent to which patterns could be identified in the use of empirical definitions of SNHs.

Methods

We conducted a PRISMA guided systematic review of studies published between 2009 and 2018 and analyzed 22 articles that met the inclusion criteria of hospital-level analyses with a clear SNH definition.

Results

Eleven unique SNH definitions were identified, and there were no obvious patterns in the use of a definition category (Medicaid caseload, DSH payment status, uncompensated care, facility characteristics, patient care mix) by the journal type where the article appeared, dataset used, or the year of publication.

Conclusions

Overall, there is broad variability in the conceptualization of, and variables used to define, SNHs. Our work advances the field toward the development of standards in measuring, operationalizing, and conceptualizing SNHs across research and policy questions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06292-9.

Association of Stratification by Proportion of Patients Dually Enrolled in Medicare and Medicaid With Financial Penalties in the Hospital-Acquired Condition Reduction Program

Importance

The Hospital-Acquired Condition Reduction Program (HACRP) is a value-based payment program focused on safety events. Prior studies have found that the program disproportionately penalizes safety-net hospitals, which may perform more poorly because of unmeasured severity of illness rather than lower quality. A similar program, the Hospital Readmissions Reduction Program, stratifies hospitals into 5 peer groups for evaluation based on the proportion of their patients dually enrolled in Medicare and Medicaid, but the effect of stratification on the HACRP is unknown.

Objective

To characterize the hospitals penalized by the HACRP and the distribution of financial penalties before and after stratification.

Design, Setting, and Participants

This economic evaluation used publicly available data on HACRP performance and penalties merged with hospital characteristics and cost reports. A total of 3102 hospitals participating in the HACRP in fiscal year 2020 (covering data from July 1, 2016, to December 31, 2018) were studied.

Exposures

Hospitals were divided into 5 groups based on the proportion of patients dually enrolled, and penalties were assigned to the lowest-performing quartile of hospitals in each group rather than the lowest-performing quartile overall.

Main Outcomes and Measures

Penalties in the prestratification vs poststratification schemes.

Results

The study identified 3102 hospitals evaluated by the HACRP. Safety-net hospitals received $111 333 384 in penalties before stratification compared with an estimated $79 087 744 after stratification-a savings of $32 245 640. Hospitals less likely to receive penalties after stratification included safety-net hospitals (33.6% penalized before stratification vs 24.8% after stratification, Δ = -8.8 percentage points [pp], P < .001), public hospitals (34.1% vs 30.5%, Δ = -3.6 pp, P = .003), hospitals in the West (26.8% vs 23.2%, Δ = -3.6 pp, P < .001), hospitals in Medicaid expansion states (27.3% vs 25.6%, Δ = -1.7 pp, P = .003), and hospitals caring for the most patients with disabilities (32.2% vs 28.3%, Δ = -3.9 pp, P < .001) and from racial/ethnic minority backgrounds (35.1% vs 31.5%, Δ = -3.6 pp, P < .001). In multivariate analyses, safety-net status and treating patients with highly medically complex conditions were associated with higher odds of moving from penalized to nonpenalized status.

Conclusions and Relevance

This economic evaluation suggests that stratification of hospitals would be associated with a narrowing of disparities in penalties and a marked reduction in penalties for safety-net hospitals. Policy makers should consider adopting stratification for the HACRP.

Narrowing the Gap: Imaging Disparities in Radiology

It may seem unlikely that the field of radiology perpetuates disparities in health care, as most radiologists never interact directly with patients, and racial bias is not an obvious factor when interpreting images. However, a closer look reveals that imaging plays an important role in the propagation of disparities. For example, many advanced and resource-intensive imaging modalities, such as MRI and PET/CT, are generally less available in the hospitals frequented by people of color, and when they are available, access is impeded due to longer travel and wait times. Furthermore, their images may be of lower quality, and their interpretations may be more error prone. The aggregate effect of these imaging acquisition and interpretation disparities in conjunction with social factors is insufficiently recognized as part of the wide variation in disease outcomes seen between races in America. Understanding the nature of disparities in radiology is important to effectively deploy the resources and expertise necessary to mitigate disparities through diversity and inclusion efforts, research, and advocacy. In this article, the authors discuss disparities in access to imaging, examine their causes, and propose solutions aimed at addressing these disparities.

Surgical resection of early stage hepatocellular carcinoma improves patient survival at safety net hospitals

BACKGROUND AND OBJECTIVES

Surgical resection is indicated for hepatocellular carcinoma (HCC) patients with Child A cirrhosis. We hypothesize that surgical intervention and survival are limited by advanced HCC presentation at safety net hospitals (SNHs) versus academic medical centers (AMCs).

METHODS

Patients with HCC and Child A cirrhosis in the US Safety Net Collaborative (2012-2014) were evaluated. Demographics, clinicopathologic features, operative characteristics, and outcomes were compared between SNHs and AMCs. Liver transplantation was excluded. Kaplan-Meier and Cox proportional-hazards models were used to identify the effect of surgery on overall (OS).

RESULTS

A total of 689 Child A patients with HCC were identified. SNH patients frequently presented with T3/T4 stage (35% vs. 24%) and metastases (17% vs. 8%; p < .05). SNH patients were as likely to undergo surgery as AMC patients (17% vs. 18%); however, SNH patients were younger (56 vs. 64 years), underwent minor hepatectomy (65% vs. 38%), and frequently harbored well-differentiated tumors (23% vs. 2%; p < .05). On multivariate analysis, surgical resection and stage, but not hospital type, were associated with improved OS.

CONCLUSIONS

Although SNH patients present with advanced HCC, survival outcomes for early stage HCC are similar at SNHs and AMCs. Identifying barriers to early diagnosis at SNH may increase surgical candidacy and improve outcomes.

Social determinants of health affect unplanned readmissions following acute myocardial infarction

Background: Low socioeconomic status predicts inferior clinical outcomes in many patient populations. The effects of patient insurance status and hospital safety-net status on readmission rates following acute myocardial infarction are unclear. Materials & methods: A retrospective review of State Inpatient Databases for New York, California, Florida and Maryland, 2007-2014. Results: A total of 1,055,162 patients were included. Medicaid status was associated with 37.7 and 44.0% increases in risk-adjusted readmission odds at 30 and 90 days (p < 0.0001). Uninsured status was associated with reduced odds of readmission at both time points. High-burden safety-net status was associated with 9.6 and 9.5% increased odds of readmission at 30 and 90 days (p < 0.0003). Conclusion: Insurance status and hospital safety-net burden affect readmission odds following acute myocardial infarction.

COVID-19 pandemic in the United States

OBJECTIVES

The paper highlights US health policy and technology responses to the COVID-19 pandemic from January 1, 2020 - August 9, 2020.

METHODS

A review of primary data sources in the US was conducted. The data were summarized to describe national and state-level trends in the spread of COVID-19 and in policy and technology solutions.

RESULTS

COVID-19 cases and deaths initially peaked in late March and April, but after a brief reduction in June cases and deaths began rising again during July and continued to climb into early August. The US policy response is best characterized by its federalist, decentralized nature. The national government has led in terms of economic and fiscal response, increasing funding for scientific research into testing, treatment, and vaccines, and in creating more favorable regulations for the use of telemedicine. State governments have been responsible for many of the containment, testing, and treatment responses, often with little federal government support. Policies that favor economic re-opening are often followed by increases in state-level case numbers, which are then followed by stricter containment measures, such as mask wearing or pausing re-opening plans.

CONCLUSIONS

While all US states have begun to "re-open" economic activities, this trend appears to be largely driven by social tensions and economic motivations rather than an ability to effectively test and surveil populations.

Do safety-net hospitals provide equitable care after decompressive surgery for acute cauda equina syndrome?

INTRODUCTION

Safety-net hospitals provide care to a substantial share of disadvantaged patient populations. Whether disparities exist between safety-net hospitals and their counterparts in performing emergent neurosurgical procedures has not yet been examined.

OBJECTIVE

We used the Nationwide Inpatient Sample (NIS), a national all-payer inpatient healthcare database, to determine whether safety-net hospitals provide equitable care after decompressive surgery for acute cauda equina syndrome (CES).

METHODS

The NIS from 2002 to 2011 was queried for patients with a diagnosis of acute CES who received decompressive surgery. Hospital safety-net burden was designated as low (LBH), medium (MBH), or high (HBH) based on the proportion of inpatient admissions that were billed as Medicaid, self-pay, or charity care. Etiologies of CES were classified as degenerative, neoplastic, trauma, and infectious. Significance was defined at p < 0.01.

RESULTS

A total of 5607 admissions were included in this analysis. HBHs were more likely than LBHs to treat patients who were Black, Hispanic, on Medicaid, or had a traumatic CES etiology (p < 0.001). After adjusting for patient, hospital, and clinical factors treatment at an HBH was not associated with greater inpatient adverse events (p = 0.611) or LOS (p = 0.082), but was associated with greater inflation-adjusted admission cost (p = 0.001).

DISCUSSION

Emergent decompressive surgery for CES performed at SNHs is associated with greater inpatient costs, but not greater inpatient adverse events or LOS. Differences in workflows at SNHs may be the drivers of these disparities in cost and warrant further investigation.

Critically Ill Adults With Coronavirus Disease 2019 in New Orleans and Care With an Evidence-Based Protocol

Background

Characteristics of critically ill adults with coronavirus disease 2019 (COVID-19) in an academic safety net hospital and the effect of evidence-based practices in these patients are unknown.

Research Question

What are the outcomes of critically ill adults with COVID-19 admitted to a network of hospitals in New Orleans, Louisiana, and what is an evidence-based protocol for care associated with improved outcomes?

Study Design and Methods

In this multi-center, retrospective, observational cohort study of ICUs in four hospitals in New Orleans, Louisiana, we collected data on adults admitted to an ICU and tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between March 9, 2020 and April 14, 2020. The exposure of interest was admission to an ICU that implemented an evidence-based protocol for COVID-19 care. The primary outcome was ventilator-free days.

Results

The initial 147 patients admitted to any ICU and tested positive for SARS-CoV-2 constituted the cohort for this study. In the entire network, exposure to an evidence-based protocol was associated with more ventilator-free days (25 days; 0-28) compared with non-protocolized ICUs (0 days; 0-23, P = .005), including in adjusted analyses (P = .02). Twenty patients (37%) admitted to protocolized ICUs died compared with 51 (56%; P = .02) in non-protocolized ICUs. Among 82 patients admitted to the academic safety net hospital’s ICUs, the median number of ventilator-free days was 22 (interquartile range, 0-27) and mortality rate was 39%.

Interpretation

Care of critically ill COVID-19 patients with an evidence-based protocol is associated with increased time alive and free of invasive mechanical ventilation. In-hospital survival occurred in most critically ill adults with COVID-19 admitted to an academic safety net hospital’s ICUs despite a high rate of comorbidities.

Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study

OBJECTIVE

To describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.

DESIGN

Prospective cohort study.

SETTING

Single academic medical center in New York City and Long Island.

PARTICIPANTS

5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020.

MAIN OUTCOME MEASURES

Outcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.

RESULTS

Of 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of >2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI >40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of <88% (3.7, 2.8 to 4.8), troponin level >1 (4.8, 2.1 to 10.9), C reactive protein level >200 (5.1, 2.8 to 9.2), and D-dimer level >2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.

CONCLUSIONS

Age and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.

Refining the Definition of US Safety-Net Hospitals to Improve Population Health

Safety-net hospitals (SNHs) in the United States provide care for individuals and families regardless of their ability to pay. Since 1986, SNHs have received supplemental federal compensation through Medicare Disproportionate Share Hospital (DSH) payments. These payments have historically been calculated based on the proportion of hospital days accounted for by Medicare Supplemental Security Income plus Medicaid, non-Medicare inpatient days. The Affordable Care Act (ACA) modified this definition and reduced DSH payments to offset a growing insured, low-income population.