Including socioeconomic status reduces readmission penalties to safety-net hospitals.

OBJECTIVE: Medicare's Hospital Readmissions Reduction Program (HRRP) financially penalizes "excessive" postoperative readmissions. Concerned with creating a double standard for institutions treating a high percentage of economically vulnerable patients, Medicare elected to exclude socioeconomic status (SES) from its risk-adjustment model. However, recent evidence suggests that safety-net hospitals (SNHs) caring for many low-SES patients are disproportionately penalized under the HRRP. We sought to simulate the impact of including SES-sensitive models on HRRP penalties for hospitals performing lower extremity revascularization (LER). METHODS: This is a retrospective, cross-sectional analysis of national data on Medicare patients undergoing open or endovascular LER procedures between 2007 and 2009. We used hierarchical logistic regression to generate hospital risk-standardized 30-day readmission rates under Medicare's current model (adjusting for age, sex, comorbidities, and procedure type) compared with models that also adjust for SES. We estimated the likelihood of a penalty and penalty size for SNHs compared with non-SNHs under the current Medicare model and these SES-sensitive models. RESULTS: Our study population comprised 1708 hospitals performing 284,724 LER operations with an overall unadjusted readmission rate of 14.4% (standard deviation: 5.3%). Compared with the Centers for Medicare and Medicaid Services model, adjusting for SES would not change the proportion of SNHs penalized for excess readmissions (55.1% vs 53.4%, P = .101) but would reduce penalty amounts for 38% of SNHs compared with only 17% of non-SNHs, P < .001. CONCLUSIONS: For LER, changing national Medicare policy to including SES in readmission risk-adjustment models would reduce penalty amounts to SNHs, especially for those that are also teaching institutions. Making further strides toward reducing the national disparity between SNHs and non-SHNs on readmissions, performance measures require strategies beyond simply altering the risk-adjustment model to include SES.

Validating administratively derived frailty scores for use in Veterans Health Administration emergency departments.

OBJECTIVES: Frailty is a clinical syndrome characterized by decreased physiologic reserve that diminishes the ability to respond to stressors such as acute illness. Veterans Health Administration (VA) emergency departments (ED) are the primary venue of care for Veterans with acute illness and represent key sites for frailty recognition. As questionnaire-based frailty instruments can be cumbersome to implement in the ED, we examined two administratively derived frailty scores for use among VA ED patients. METHODS: This national retrospective cohort study included all VA ED visits (2017-2020). We evaluated two administratively derived scores: the Care Assessment Needs (CAN) score and the VA Frailty Index (VA-FI). We categorized all ED visits across four frailty groups and examined associations with outcomes of 30-day and 90-day hospitalization and 30-day, 90-day, and 1-year mortality. We used logistic regression to assess the model performance of the CAN score and the VA-FI. RESULTS: The cohort included 9,213,571 ED visits. With the CAN score, 28.7% of the cohort were classified as severely frail; by VA-FI, 13.2% were severely frail. All outcome rates increased with progressive frailty (p-values for all comparisons < 0.001). For example, for 1-year mortality based on the CAN score frailty was determined as: robust, 1.4%; prefrail, 3.4%; moderately frail, 7.0%; and severely frail, 20.2%. Similarly, for 90-day hospitalization based on VA-FI, frailty was determined as prefrail, 8.3%; mildly frail, 15.3%; moderately frail, 29.5%; and severely frail, 55.4%. The c-statistics for CAN score models were higher than for VA-FI models across all outcomes (e.g., 1-year mortality, 0.721 vs. 0.659). CONCLUSIONS: Frailty was common among VA ED patients. Increased frailty, whether measured by CAN score or VA-FI, was strongly associated with hospitalization and mortality and both can be used in the ED to identify Veterans at high risk for adverse outcomes. Having an effective automatic score in VA EDs to identify frail Veterans may allow for better targeting of scarce resources.

Implementation of a compulsory clinical pharmacist-led medication deprescribing intervention in high-risk seniors in the emergency department.

OBJECTIVES: The objective of this study was to assess the impact of an emergency department (ED) deprescribing intervention for geriatric adults. We hypothesized that pharmacist-led medication reconciliation for at-risk aging patients would increase the 60-day case rate of primary care provider (PCP) deprescribing of potentially inappropriate medications (PIMs). METHODS: This was a retrospective, before-and-after intervention pilot study conducted at an urban Veterans Affairs ED. In November 2020, a protocol utilizing pharmacists to perform medication reconciliations for patients 75 years or older who screened positive using an Identification of Seniors at Risk tool at triage was implemented. Reconciliations focused on identifying PIMs and providing deprescribing recommendations to patients' PCPs. A preintervention group was collected between October 2019 and October 2020, and a postintervention group was collected between February 2021 to February 2022. The primary outcome compared case rates of PIM deprescribing in the preintervention group to the postintervention group. Secondary outcomes include per-medication PIM deprescribing rate, 30-day PCP follow-up visits, 7- and 30-day ED visits, 7- and 30-day hospitalizations, and 60-day mortality. RESULTS: A total of 149 patients were analyzed in each group. Both groups were similar in age and sex, with an average age of 82 years and 98% male. The case rate of PIM deprescribing at 60 days was 11.1% preintervention compared to 57.1% postintervention (p < 0.001). Preintervention, 91% of PIMs remained unchanged at 60 days compared to 49% (p < 0.05) postintervention. Regardless of PIM identification, the 30-day primary care follow-up rate increased postintervention: 31.5% and 55.7% (p < 0.0001), respectively. There was no improvement in 7- or 30-day subsequent ED visits, hospitalization, or mortality. CONCLUSIONS: Pharmacist-led medication reconciliation in high-risk geriatric patients was associated with an increase both in the rate of PIM deprescribing and in post-ED primary care engagement.

Quantifying Ambulatory Care Use Preceding Emergency Department Visits and Hospitalizations for Ambulatory Care Sensitive Conditions.

Ambulatory Care Sensitive Conditions (ACSC) represent a significant source of health care spending in the United States. Existing literature is largely descriptive and there is limited information about how an emergency department (ED) visit or hospitalization for ACSCs is related to prior ambulatory care visits. A retrospective, observational study was conducted using health records from a large midwestern health system during a 20-month period between 2012 and 2014. Our primary variables were (1) type of care setting (i.e., ED visit or hospitalization) and (2) whether the patient received ambulatory care services in the 14, 30, and 60 days before the ED visit or hospital admission. Of patients seen in the ED for ACSCs, 11.9%, 16.3%, and 21.67% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. Of those hospitalized for ACSCs, 29.1%, 39.9%, and 53% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. These results highlight a potential lost opportunity to address ACSCs in the ambulatory care setting. Such knowledge can inform interventions to reduce avoidable ACSC-related acute care use and health care costs, and improve patient outcomes.

Emergency Department Utilization and Readmissions Following Major Surgery: A Retrospective Study of Medicare Data.

BACKGROUND: Reliable strategies for reducing postoperative readmissions remain elusive. As the emergency department (ED) is a frequent source of post-operative admissions, we investigated whether hospitals with high readmission rates also have high rates of post-discharge ED visits and high rates of readmission once an ED visit occurs. METHODS: We conducted a retrospective analysis of 1,947,621 Medicare beneficiaries undergoing 1 of 5 common procedures in 2,894 hospitals between 2008 and 2011. We stratified hospitals into quintiles based on risk-standardized, 30-day post-discharge readmission rates (RSRR) and then compared rates of post-discharge ED visits, proportion readmitted from the ED, and readmissions within 7 days of ED discharge across these quintiles. RESULTS: RSRR varied widely across extremes of hospital quintiles (3.9% to 17.5%). Hospitals with either very low or very high RSRR had modest differences in rates of ED visits (12.4% versus 14.6%). In contrast, the proportion readmitted from the ED was nearly 3 times greater in Hospitals with very high RSRR compared with those with very low RSRR (12% versus 32.2%). These findings were consistent across all procedures. Importantly, hospitals with a low proportion readmitted from the ED did not exhibit an increased rate of readmission within 7 days of ED discharge. CONCLUSIONS: Although hospitals experience similar rates of ED visits following major surgery, some EDs and their affiliated surgeons and health system may deliver care preventing readmissions without an increased short-term risk of readmission following ED discharge. Reducing 30-day readmissions requires greater attention to the coordination of care delivered in the ED.

Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic.

Importance: Although strain on hospital capacity has been associated with increased mortality in nonpandemic settings, studies are needed to examine the association between coronavirus disease 2019 (COVID-19) critical care capacity and mortality. Objective: To examine whether COVID-19 mortality was associated with COVID-19 intensive care unit (ICU) strain. Design, Setting, and Participants: This cohort study was conducted among veterans with COVID-19, as confirmed by polymerase chain reaction or antigen testing in the laboratory from March through August 2020, cared for at any Department of Veterans Affairs (VA) hospital with 10 or more patients with COVID-19 in the ICU. The follow-up period was through November 2020. Data were analyzed from March to November 2020. Exposures: Receiving treatment for COVID-19 in the ICU during a period of increased COVID-19 ICU load, with load defined as mean number of patients with COVID-19 in the ICU during the patient's hospital stay divided by the number of ICU beds at that facility, or increased COVID-19 ICU demand, with demand defined as mean number of patients with COVID-19 in the ICU during the patient's stay divided by the maximum number of patients with COVID-19 in the ICU. Main Outcomes and Measures: All-cause mortality was recorded through 30 days after discharge from the hospital. Results: Among 8516 patients with COVID-19 admitted to 88 VA hospitals, 8014 (94.1%) were men and mean (SD) age was 67.9 (14.2) years. Mortality varied over time, with 218 of 954 patients (22.9%) dying in March, 399 of 1594 patients (25.0%) dying in April, 143 of 920 patients (15.5%) dying in May, 179 of 1314 patients (13.6%) dying in June, 297 of 2373 patients (12.5%) dying in July, and 174 of 1361 (12.8%) patients dying in August (P < .001). Patients with COVID-19 who were treated in the ICU during periods of increased COVID-19 ICU demand had increased risk of mortality compared with patients treated during periods of low COVID-19 ICU demand (ie, demand of ≤25%); the adjusted hazard ratio for all-cause mortality was 0.99 (95% CI, 0.81-1.22; P = .93) for patients treated when COVID-19 ICU demand was more than 25% to 50%, 1.19 (95% CI, 0.95-1.48; P = .13) when COVID-19 ICU demand was more than 50% to 75%, and 1.94 (95% CI, 1.46-2.59; P < .001) when COVID-19 ICU demand was more than 75% to 100%. No association between COVID-19 ICU demand and mortality was observed for patients with COVID-19 not in the ICU. The association between COVID-19 ICU load and mortality was not consistent over time (ie, early vs late in the pandemic). Conclusions and Relevance: This cohort study found that although facilities augmented ICU capacity during the pandemic, strains on critical care capacity were associated with increased COVID-19 ICU mortality. Tracking COVID-19 ICU demand may be useful to hospital administrators and health officials as they coordinate COVID-19 admissions across hospitals to optimize outcomes for patients with this illness.

The Association of Inpatient Occupancy with Hospital-Acquired Clostridium difficile Infection.

Few studies have evaluated the relationship between high hospital occupancy and hospital-acquired complications. We evaluated the association between inpatient occupancy and hospital-acquired Clostridium difficile infection (CDI) using a novel measure of hospital occupancy. We analyzed administrative data from California hospitals from 2008-2012 for Medicare recipients aged 65 years with a discharge diagnosis of acute myocardial infarction, heart failure, or pneumonia. Using daily census data, we constructed patient-level measures of occupancy on admission day and average occupancy during hospitalization (range: 0-1), which were split into 4 groups. We used logistic regression with cluster standard errors to estimate the adjusted and unadjusted relationship of occupancy with hospital-acquired CDI. Across 327 hospitals, 558,344 discharges met our inclusion criteria. Higher admission day occupancy was associated with significantly lower adjusted likelihood of CDI. Compared to the 0-0.25 occupancy group, patients admitted on a day of 0.51-0.75 occupancy had 0.86 odds of CDI (95% CI 0.75-0.98). The 0.76-1.00 admission occupancy group had 0.87 odds of CDI (95% CI 0.75-1.01). With regard to average occupancy, intermediate levels of occupancy 0.26-0.50 (odds ratio [OR] = 3.04, 95% CI 2.33-3.96) and 0.51-0.75 (OR = 3.28, 95% CI 2.51-4.28) had over 3-fold increased adjusted odds of CDI relative to the low occupancy group; the high occupancy group did not have signifcantly different odds of CDI compared to the low occupancy group (OR = 0.96, 95% CI 0.70-1.31). These findings should prompt exploration of how hospitals react to occupancy changes and how those care processes translate into hospital-acquired complications in order to inform best practices.

Identifying disparity in emergency department length of stay and admission likelihood.

BACKGROUND: To assess whether insurance status has an effect on emergency department (ED) length of stay (LOS) and likelihood for admission or transfer to an operating room. METHODS: This was a retrospective cross-sectional study of all encounters from January 2011 through October 2013 at an urban, academic trauma center. Analysis included multi-variable linear regression for ED LOS and logistic regression for the likelihood of admission. RESULTS: Overall, 201 535 patients met the inclusion criteria, for which the mean age was 43.8 years, 55.9% were female, 23.4% were uninsured and 8% were of non-black race. Admission rate was 24.5% and operative rate was 1.4%. After adjusting for age, sex, triage acuity and race, the presence of insurance coverage was associated with an increased ED LOS of 575 (95%CI 552-598) vs. 567 (95%CI 543-591) minutes (P<0.01) among admitted patients and a decreased ED LOS of 456 (95%CI 381-531) vs. 499 (95%CI 423-575) minutes (P<0.01) among those transferred to an operating room. Adjusting for these same predictors, insured status remained a predictor for admission (odds ratio 1.24, 95%CI 1.20-1.28, P<0.01) and a negative predictor for transfer to the operating room (odds ratio 0.84, 95%CI 0.77-0.92, P<0.01). CONCLUSION: The insured experienced a clinically insignificant increase in ED LOS when admitted and a 43-minute decrease in ED LOS when being transferred to the operating room. The insured were more likely to be admitted and less likely to be transferred to an operating room.

The Vomiting Patient: Small Bowel Obstruction, Cyclic Vomiting, and Gastroparesis.

Vomiting and abdominal pain are common in patients in the emergency department. This article focuses on small bowel obstruction (SBO), cyclic vomiting, and gastroparesis. Through early diagnosis and appropriate management, the morbidity and mortality associated with SBOs can be significantly reduced. Management of SBOs involves correction of physiologic and electrolyte disturbances, bowel rest and removing the source of the obstruction. Treatment of acute cyclic vomiting is primarily directed at symptom control, volume and electrolyte repletion, and appropriate specialist follow-up. The mainstay of therapy for gastroparesis is metoclopramide.

Identifying disparity in emergency department length of stay and admission likelihood / 世界急诊医学杂志（英文）

@#BACKGROUND: To assess whether insurance status has an effect on emergency department (ED) length of stay (LOS) and likelihood for admission or transfer to an operating room. METHODS: This was a retrospective cross-sectional study of all encounters from January 2011 through October 2013 at an urban, academic trauma center. Analysis included multi-variable linear regression for ED LOS and logistic regression for the likelihood of admission. RESULTS: Overall, 201535 patients met the inclusion criteria, for which the mean age was 43.8 years, 55.9％ were female, 23.4％ were uninsured and 8％ were of non-black race. Admission rate was 24.5％ and operative rate was 1.4％. After adjusting for age, sex, triage acuity and race, the presence of insurance coverage was associated with an increased ED LOS of 575 (95％CI 552–598) vs. 567 (95％CI 543–591) minutes (P<0.01) among admitted patients and a decreased ED LOS of 456 (95％CI 381–531) vs. 499 (95％CI 423–575) minutes (P<0.01) among those transferred to an operating room. Adjusting for these same predictors, insured status remained a predictor for admission (odds ratio 1.24, 95％CI 1.20–1.28, P<0.01) and a negative predictor for transfer to the operating room (odds ratio 0.84, 95％CI 0.77–0.92, P<0.01). CONCLUSION: The insured experienced a clinically insignificant increase in ED LOS when admitted and a 43-minute decrease in ED LOS when being transferred to the operating room. The insured were more likely to be admitted and less likely to be transferred to an operating room.

Inadequate postgraduate training of skin and soft tissue infections in an era of community-associated methicillin-resistant Staphylococcus aureus.

BACKGROUND: Since 2002, the incidence of community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) skin and soft tissue infections (SSTIs) has been steadily increasing and CA-MRSA may now account for most community-based SSTIs. Although consensus remains vague, using antibiotics with MRSA coverage has shown improved rates of clinical resolution. The goal of this pilot study was to assess resident physicians' awareness and management of CA-MRSA SSTIs in the acute/ambulatory care setting. METHODS: This is a prospective cross-sectional survey-design study based on clinical case scenarios approved by the university's institutional review board. The survey was distributed to residents in internal medicine, general surgery, and emergency medicine. The survey was designed to assess (1) their knowledge of MRSA prevalence in community SSTIs and (2) their choice of empiric antibiotic for community-based SSTIs. RESULTS: Across all residency programs, only 15.7% of residents correctly estimated prevalence of CA-MRSA in SSTIs in the acute care/ambulatory setting to be 50% or higher. In practice, 28.6% of general surgery residents, 50.0% of internal medicine residents, and 69.7% of emergency medicine residents would use an antibiotic with appropriate MRSA coverage. CONCLUSION: This pilot study reveals that a substantial number of resident physicians are unaware of the increasing prevalence of CA-MRSA SSTIs and continue to use ß-lactam antibiotics for empiric pharmacotherapy of community-based SSTIs. More education is desperately needed on this crucial topic across various residency training programs.

The most frequent ED patients carry insurance and a significant burden of disease.

STUDY OBJECTIVE: The objective of this study was to determine factors that impact emergency department (ED) utilization among the most frequent ED users. METHODS: This prospective observational study consisting of questionnaires was conducted in an urban ED with an annual census of 95000 patients. A convenience sample of the top 1% of adult frequent users (≥9 ED visits in the previous 12 months) was enrolled from February 2009 to March 2010. Patients were excluded because of intoxication, altered mental status, or acute psychosis. RESULTS: A total of 115 patients were enrolled, with an average age of 44 years and median number of 22 ±13 ED visits in the preceding 12 months. Seventy-eight percent of frequent users reported adequate health insurance coverage, and 75% reported one or more chronic medical conditions. Despite the high rates of insured patients, 75% identified the ED as their primary health care site. Half of the cohort had 2 or more hospital admissions over the past 12 months, of which 24% were patients with end-stage renal disease. CONCLUSIONS: The top 1% of frequent users usually had adequate health insurance and primary care access but were burdened by chronic conditions and frequent hospital admissions. Such patients may require more extensive coordinated medical management to decrease ED utilization.