Maryland Hospital Research Articles

Hospital variability in modifiable factors driving coronary artery bypass charges

ObjectiveCoronary artery bypass grafting is associated with significant interhospital variability in charges. Drivers of hospital charge variability remain elusive. We identified modifiable factors associated with statewide interhospital variability in hospital charges for coronary artery bypass grafting. MethodsCharge data were used as a surrogate for cost. Society of Thoracic Surgeons data from Maryland institutions and charge data from the Maryland Health Care Commission were linked to characterize interhospital charge variability for coronary artery bypass grafting. Multivariable linear regression was used to identify perioperative factors independently related to coronary artery bypass grafting charges. Of the factors independently associated with charges, we analyzed which factors varied between hospitals. ResultsA total of 10,337 patients underwent isolated coronary artery bypass grafting at 9 Maryland hospitals from 2012 to 2016, of whom 7532 patients were available for analyses. Mean normalized charges for isolated coronary artery bypass grafting varied significantly among hospitals, ranging from $30,000 to $57,000 (P < .001). Longer preoperative length of stay, operating room time, and major postoperative morbidity including stroke, renal failure, prolonged ventilation, reoperation, and deep sternal wound infection were associated with greater hospital charges. Incidence of major postoperative events, except stroke and deep sternal wound infection, was variable between hospitals. In a univariate linear regression model, patient risk profile only accounted for approximately 10% of statistical variance in charges. ConclusionsThere is significant charge variability for coronary artery bypass grafting among hospitals within the same state. By targeting variation in preoperative length of stay, operating room time, postoperative renal failure, prolonged ventilation, and reoperation, cardiac surgery programs can realize cost savings while improving quality of care for this resource-intense patient population.

Clinical Impact and Predictors of Troponin Elevation in Patients With COVID-19

BackgroundCardiac involvement in coronavirus disease 2019 (COVID-19) is known, manifested by troponin elevation. Studies in the initial phase of the pandemic demonstrated that these patients tended to have a worse prognosis than patients without myocardial injury. We sought to evaluate the clinical impact of significant troponin elevation in COVID-19-positive patients, along with predictors of poor outcomes, over the span of the pandemic to date. MethodsWe analyzed COVID-19-positive patients who presented to the MedStar Health system (11 hospitals in Washington, DC, and Maryland) during the pandemic (March 1–June 30, 2020). We compared clinical course and outcomes based on the presence of troponin elevation and identified predictors of mortality. ResultsThe cohort included 2716 COVID-19-positive admitted patients for whom troponin was drawn. Of these patients, 250 had troponin elevation (≥1.0 ng/mL). In the troponin-elevation arm, the minimum troponin level was 1.9 ± 8.82 ng/mL; maximum elevation was 10.23 ± 31.07 ng/mL. The cohort's mean age was 68.0 ± 15.0 years; 52.8% were men. Most (68.5%) COVID-19-positive patients with troponin elevation were African American. Patients with troponin elevation tended to be older, with more co-morbidities, and most required mechanical ventilation. In-hospital mortality was significantly higher (48.4%) in COVID-19-positive patients with concomitant troponin elevation than without troponin elevation (12.2%; p < 0.001). ConclusionCOVID-19 patients with troponin elevation are at higher risk for mechanical ventilation and mortality. Efforts should focus on early recognition, evaluation, and intensifying care of these patients.

Impact of a C. difficile infection (CDI) reduction bundle and its components on CDI diagnosis and prevention

Published bundles to reduce Clostridioides difficile Infection (CDI) frequently lack information on compliance with individual elements. We piloted a computerized clinical decision support-based intervention bundle and conducted detailed evaluation of several intervention-related measures. A quasi-experimental study of a bundled intervention was performed at 2 acute care community hospitals in Maryland. The bundle had five components: (1) timely placement in enteric precautions, (2) appropriate CDI testing, (3) reducing proton-pump inhibitor (PPI) use, (4) reducing high-CDI risk antibiotic use, and (5) optimizing use of a sporicidal agent for environmental cleaning. Chi-square and Kruskal-Wallis tests were used to compare measure differences. An interrupted time series analysis was used to evaluate impact on hospital-onset (HO)-CDI. Placement of CDI suspects in enteric precautions before test results did not change. Only hospital B decreased the frequency of CDI testing and reduced inappropriate testing related to laxative use. Both hospitals reduced the use of PPI and high-risk antibiotics. A 75% decrease in HO-CDI immediately postimplementation was observed for hospital B only. A CDI reduction bundle showed variable impact on relevant measures. Hospital-specific differential uptake of bundle elements may explain differences in effectiveness, and emphasizes the importance of measuring processes and intermediate outcomes.

Rapid Spread and Control of Multidrug-Resistant Gram-Negative Bacteria in COVID-19 Patient Care Units.

We describe rapid spread of multidrug-resistant gram-negative bacteria among patients in dedicated coronavirus disease care units in a hospital in Maryland, USA, during May–June 2020. Critical illness, high antibiotic use, double occupancy of single rooms, and modified infection prevention practices were key contributing factors. Surveillance culturing aided in outbreak recognition and control.

922 Reduction in cesarean delivery rates following a state collaborative in Maryland

High rates of cesarean delivery in the United States are a cause of urgent concern as cesarean delivery is associated with increased risks for maternal morbidity and mortality. The national Alliance for Innovation in Maternal Health (AIM) program encourages state perinatal collaboratives (PQCs) to adopt a bundle of interventions to reduce cesarean deliveries. In June 2016, Maryland’s PQC became one of the first to implement the AIM cesarean bundle. The objectives of this study are to describe the implementation of bundle practices at Maryland hospitals and to evaluate the impact of the collaborative on cesarean delivery rates. Thirty-one of the 32 birthing hospitals in the state participated in the 30-month collaborative. Quality improvement leaders from each hospital completed an endline survey reporting implementation status of 26 bundle practices. Differences in state-level cesarean rates at baseline (January to June 2016) and endline (January to June 2019) were calculated from vital statistics data for 30 hospitals and tested for significance using chi-squared tests. On average, hospitals reported 8.2 bundle practices (range: 0, 23) in place prior to the collaborative and fully-implementing an average of 4.8 new practices (range: 0, 17) during the collaborative. The clinical practices with highest reported implementation were standardized assessment of fetal heart rate and standardized induction scheduling (80.6% of hospitals each); the lowest was integration of doulas into the care team (9.7%). There was a 4.8 percentage-point reduction in cesarean rates for induced nulliparous, term, singleton, vertex (NTSV) births between baseline and endline (p<0.001). Smaller significant reductions (p<0.05) in cesarean delivery rates were also observed for all births and all NTSV births (Figure 1). The majority of hospitals in the Maryland PQC implemented multiple new practices and the state saw a reduction in cesarean delivery rates. Few hospitals implemented all bundle practices, suggesting opportunities for further reductions with continued practice change.

The impact of Maryland's payment reforms on hospital community benefit efforts.

In 2014, Maryland established a global budget policy for all hospitals in the state. Under this policy, hospitals are incentivized to not only provide clinical care services to individual patients but also address the health needs of their broader patient population through prevention efforts and investment in the upstream social and economic factors that determine health. To better understand the incentives created for hospitals under this policy, our study assessed whether the implementation of global budgets changed the levels and patterns of Maryland hospitals' investments in community benefits. Data on hospital community benefit spending from the Internal Revenue Service Form 990 Schedule H for the years 2010-2016 were utilized for this study. We found that Maryland hospitals' total spending on community benefits decreased under the global budget policy. Unlike hospitals in similar states without a global budget policy, Maryland hospitals did not experience any increases in Medicaid shortfalls between 2014 and 2016. Although Maryland hospitals provided more subsidized health services, their investment in broader community health improvement activities remained unchanged. Our analysis suggests that Maryland hospitals have shifted strategies because of the implementation of the global budget policy. The ability to report community benefit in a way that accurately considers the context and constraints of a state's policies would provide hospitals better means of communicating these efforts to stakeholders. Our results suggest that global budgets impact the levels and patterns of hospitals' community benefit investments.

Hospital Revenue Under Maryland’s Total Cost of Care Model During the COVID-19 Pandemic, March-July 2020

This study compares revenue of Maryland hospitals in March-July 2020 vs historical trends and assesses whether rate increases for inpatient and outpatient services that were permitted to offset pandemic-related decines in revenues were associated with changes to state hospital revenue.

Comparison of Characteristics and Outcomes of Patients With Acute Myocardial Infarction With Versus Without Coronarvirus-19

The coronavirus disease 2019 (COVID-19) pandemic has greatly impacted the US healthcare system. Cardiac involvement in COVID-19 is common and manifested by troponin and natriuretic peptide elevation and tends to have a worse prognosis. We analyzed patients who presented to the MedStar Health system (11 hospitals in Washington, DC, and Maryland) with either an ST-elevation myocardial infarction or non-ST-elevation myocardial infarction early in the pandemic (March 1, 2020 to June 30, 2020) using the International Classification of Diseases, Tenth Revision. Patients’ clinical course and outcomes, including in-hospital mortality, were compared on the basis of the results of COVID-19 status (positive or negative). The cohort included 1533 patients admitted with an acute myocardial infarction (AMI), of whom 86 had confirmed severe acute respiratory syndrome coronavirus 2 infection, during the study period. COVID-19-positive patients were older and non-White and had more co-morbidities. Furthermore, inflammatory markers and N-terminal-proB-type-natriuretic peptide were higher in COVID-19-positive AMI patients. Only 20.0% (17) of COVID-19-positive patients underwent coronary angiography. In-hospital mortality was significantly higher in AMI patients with concomitant COVID-19-positive status (27.9%) than in patients without COVID-19 during the same period (3.7%; p < 0.001). Patients with AMI and COVID-19 tended to be older, with more co-morbidities, when compared to those with an AMI and without COVID-19. In conclusion, myocardial infarction with concomitant COVID-19 was associated with increased in-hospital mortality. Efforts should be focused on the early recognition, evaluation, and treatment of these patients.

Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.

To determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. All patients at least 18 years of age admitted to 3 hospitals in Maryland between January 1, 2016, and January 1, 2018. Comorbid conditions were assigned using the Elixhauser comorbidity index. Multivariable log-binomial regression was conducted for each hospital using significant covariates (P < .10) in a bivariate analysis. Standardized infection ratios (SIRs) were computed using current Centers for Disease Control and Prevention (CDC) risk adjustment methodology and with the addition of Elixhauser score and individual comorbidities. At hospital 1, 314 of 48,057 patient admissions (0.65%) had a HO-CDI; 41 of 8,791 patient admissions (0.47%) at community hospital 2 had a HO-CDI; and 75 of 29,211 patient admissions (0.26%) at community hospital 3 had a HO-CDI. In multivariable regression, Elixhauser score was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic use, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospital 1 and hospital 2. When Elixhauser score was included in the risk adjustment model, it was statistically significant (P < .01). Compared with the current CDC SIR methodology, the SIR of hospital 1 decreased by 2%, whereas the SIRs of hospitals 2 and 3 increased by 2% and 6%, respectively, but the rankings did not change. Electronically available patient comorbidities are important risk factors for HO-CDI and may improve risk-adjustment methodology.

Payment incentives and the use of higher-cost drugs: a retrospective cohort analysis of intravenous iron in the Medicare population.

Medicare Part B payment methods incentivize the use of more expensive injectable and infused drugs. We examined prescribing patterns in the context of intravenous (IV) iron, for which multiple similarly safe and efficacious formulations exist, with wide variations in price. We conducted a retrospective cohort analysis of IV iron utilization and payment in the Medicare population between 2015 and 2017. This analysis used a national, random 20% sample of Medicare fee-for-service beneficiaries with Part B claims for IV iron between January 2015 and December 2017-a period before, during, and after a national shortage of iron dextran. This sample included 66,710 Medicare fee-for-service beneficiaries with at least 1 Part B claim for IV iron. The greatest increase in utilization occurred in the most expensive iron formulation, ferric carboxymaltose; its market share rose from 27.4% of use in 2015 to 47.7% in 2017. The use of a less expensive formulation, iron dextran, decreased from 26.7% to 18.7% over the same period. An alternative payment model in Maryland hospitals was associated with markedly less utilization of ferric carboxymaltose, accounting for 4.7% of IV iron utilization in Maryland hospitals. There was an increase in the dispensing of a higher-priced IV iron formulation associated with a shortage of a less expensive drug that persisted once the shortage ended. These findings in IV iron have broader implications for Part B drug payment policy because the price of the drug determines the physician and health system payment.

Racial and ethnic disparities in hospital observation in Maryland.

Hospital observation is a key disposition option from the emergency department (ED) and encompasses up to one third of patients requiring post-ED care. Observation has been associated with higher incidence of catastrophic financial costs and has downstream effects on post-discharge clinical services. Yet little is known about the non-clinical determinants of observation assignment. We sought to evaluate the impact of patient-level demographic factors on observation designation among Maryland patients. We conducted a retrospective analysis of all ED encounters in Maryland between July 2012 and January 2017 for four priority diagnoses (heart failure, chronic obstructive pulmonary disease [COPD], pneumonia, and acute chest pain) using multilevel logistic models allowing for heterogeneity of the effects across hospitals. The primary exposure was self-reported race and ethnicity. The primary outcome was the initial status assignment from the ED: hospital observation versus inpatient admission. Across 46 Maryland hospitals, 259,788 patient encounters resulted in a disposition of inpatient admission (65%) or observation designation (35%). Black (adjusted odds ratio [aOR]: 1.19; 95% confidence interval [CI]: 1.16-1.23) and Hispanic (aOR: 1.11; 95% CI: 1.01-1.21) patients were significantly more likely to be placed in observation than white, non-Hispanic patients. These differences were consistent across the majority of acute-care hospitals in Maryland (27/46). Black and Hispanic patients in Maryland are more likely to be treated under the observation designation than white, non-Hispanic patients independent of clinical presentation. Race agnostic, time-based status assignments may be key in eliminating these disparities.

Staying Out of the Way: Perceptions of Digital Non-Emergency Medical Transportation Services, Barriers, and Access to Care Among Young Black Male Survivors of Firearm Violence.

With a reduction in primary barriers to healthcare access as a result of the Affordable Care Act, there is an increased need to address secondary barriers faced by low-income young Black male survivors of violent injury. While transportation is often characterized as a barrier for individuals with chronic disease and disability, it also acts as a significant barrier in accessing cognitive behavioral therapy and mentoring services through hospital-based violence intervention programs (HVIPs). These services address the traumatic stress associated with surviving gun violence. Although there are many challenges associated with the current practices of non-emergency medical transportation, participants in HVIPs face additional risk factors. We highlight the application of a digital transportation intervention to increase the use of psychosocial services among low-income young Black male survivors of violent injury participating in an HVIP. Digital non-emergency medical transportation services (DNEMT) address issues concerning financial barriers, personal safety, program credibility, and program participation. We conducted qualitative interviews and a focus group with this population to assess the impact of Uber Health, a DNEMT service, on their participation in an HVIP located in a suburban Maryland hospital immediately outside of Washington, D.C. Survivors identified the use of Uber Health as essential to addressing the multifaceted and interconnected barriers to treatment. These barriers included reluctance to use alternative forms of transportation services (i.e., bus or subway) due to potential encounters with rivals, increased risk of repeat violent victimization, the need to carry a weapon for protection, stigmatization, and symptoms associated with traumatic stress. We found that integrating digital transportation services into the standard practices of HVIPs, as a part of a patient-centered outcomes framework, contributes to a reduction in violent injury and re-traumatization by addressing the multi-layered risks experienced by survivors of gun violence.

The impact of global budget payment reform on systemic overuse in Maryland

BackgroundMedical overuse is a leading contributor to the high cost of the US health care system and is a definitive misuse of resources. Elimination of overuse could improve health care efficiency. In 2014, the State of Maryland placed the majority of its hospitals under an all-payer, annual, global budget for inpatient and outpatient hospital services. This program aims to control hospital use and spending. ObjectiveTo assess whether the Maryland global budget program was associated with a reduction in the broad overuse of health care services. MethodsWe conducted a retrospective analysis of deidentified claims for 18–64 year old adults from the IBM MarketScan® Commercial Claims and Encounters Database. We matched 2 Maryland Metropolitan Statistical Areas (MSAs) to 6 out-of-state comparison MSAs. In a difference-in-differences analysis, we compared changes in systemic overuse in Maryland vs the comparison MSAs before (2011–2013) and after implementation (2014–2015) of the global budget program. Systemic overuse was measured using a semiannual Johns Hopkins Overuse Index. ResultsGlobal budgets were not associated with a reduction in systemic overuse. Over the first 1.5 years of the program, we estimated a nonsignificant differential change of −0.002 points (95%CI, −0.372 to 0.369; p = 0.993) relative to the comparison group. This result was robust to multiple model assumptions and sensitivity analyses. ConclusionsWe did not find evidence that Maryland hospitals met their revenue targets by reducing systemic overuse. Global budgets alone may be too blunt of an instrument to selectively reduce low-value care.

Factors Associated With Inappropriate Antibiotic Use in Hospitalized Patients

Background: Inappropriate antibiotic prescription leads to increased Clostridiodes difficile infections, adverse effects including organ toxicity, and generation of antibiotic-resistant bacteria. Despite efforts to improve antibiotic use in acute-care settings, unnecessary and inappropriate prescription still occur in 30%–50% of patients. Objectives: We assessed factors associated with inappropriate antibiotic prescription at 2 time points: (1) initial, empiric therapy and (2) 3–5 days after therapy initiation. Methods: As part of a multicenter study investigating strategies to reduce antibiotic therapy after 3–5 days of use, antibiotic prescription data were collected from 11 adult and pediatric intensive care and general medical units at 6 hospitals in Maryland in 2014 and 2015. We performed a retrospective cohort study of all hospitalized patients who received any of 23 common antibiotics for at least 3 days. Each medical record was reviewed for demographics, admission and discharge dates, patient comorbidities, and antibiotic regimen by at least 1 infectious disease physician or pharmacist. Classification of antibiotic inappropriateness was based on each institution’s guidelines and standards. Bivariate analyses were performed using logistic regression for both initial therapy and therapy at days 3–5. Multivariable logistic regression was performed using covariates meeting the significance level of P &lt; .05. Results: In total, 3,436 antibiotic courses were assessed at time of initial therapy, and 1541 regimens were continued and reviewed again at days 3–5 of therapy. For the initial therapy, 1,255 regimens (37%) were inappropriate; 45% of these were considered unnecessary and 41% were too broad in spectrum. In the multivariable regression, older age and antibiotic prescription during the summer were associated with the receipt of inappropriate antibiotics (Table 1). Having end-stage renal disease as a comorbid condition was protective against inappropriate use. At days 3–5 of therapy, 688 (45%) of the antibiotic courses were inappropriate. Reasons regimens were considered inappropriate included unnecessary antibiotic prescriptions (49%) and antibiotics being too broad (38%). Older age and receiving cefepime or piperacillin-tazobactam on day 3 of therapy were factors associated with inappropriate use (Table 2). Having undergone a transplant or a surgical procedure was protective of inappropriate antimicrobial use at days 3–5 of therapy. Conclusions: Older patients are more likely to receive inappropriate antibiotics at both initial regimen and 3–5 days later. Patients receiving cefepime or piperacillin-tazobactam are at greater risk of receiving inappropriate antibiotics at days 3–5 due to failure to de-escalate. Antibiotic stewardship strategies targeting these patient populations may limit inappropriate use.Funding: NoneDisclosures: None

SPARC-ing Change—The Maryland Statewide Prevention and Reduction of Clostridioides difficile (SPARC) Collaborative

Background: In 2018, the Maryland Department of Health, in collaboration with the University of Maryland and Johns Hopkins University, created the Statewide Prevention and Reduction of Clostridioides difficile (SPARC) collaborative to reduce C. difficile as specified in Healthy People 2020. Methods: The SPARC collaborative recruited hospitals contributing most cases to statewide C. difficile standardized infection ratio (SIR), according to data reported to the National Healthcare Safety Network (NHSN). SPARC developed intervention bundles around 4 domains: infection prevention, environmental cleaning, and diagnostic and antimicrobial stewardship. Each facility completed a self-assessment followed by an on-site, day-long, peer-to-peer (P2P) evaluation with 8–12 SPARC subject matter experts (SMEs) representing each domain. The SMEs met with hospital executive leadership and then led 4 domain-based group discussions with relevant hospital team leaders. To identify policy and practice gaps, SMEs visited hospital inpatient units for informal interviews with frontline staff. In a closing session, SPARC SMEs, hospital executives, and team leaders reconvened to discuss preliminary findings. This included review of covert observation data (hand hygiene, personal protective equipment compliance, environmental cleaning) obtained by SPARC team 1–2 weeks prior. Final SPARC P2P written recommendations guided development of customized interventions at each hospital. SPARC provided continuous support (follow up phone calls, educational webinars, technical support, didactic training for antimicrobial stewardship pharmacists) to enhance facility-specific implementation. For every quarter, we categorized C. difficile NHSN data for each Maryland hospital into “SPARC” or “non-SPARC” based on participation status. Using negative binomial mixed models, we analyzed difference-in-difference of pre- and postincidence rate ratios (IRRs) for SPARC and non-SPARC hospitals, which allowed estimation of change attributable to SPARC participation independent of other time-varying factors. Results: Overall, 13 of 48 (27%) hospitals in Maryland participated in the intervention. The baseline SIR for all Maryland hospitals was 0.92, and the post-SPARC SIR was 0.67. The SPARC hospitals had a greater reduction in hospital-onset C. difficile incidence; 8.6 and 4.3 events per 10,000 patient days for baseline and most recent quarter, respectively. For non-SPARC hospitals, these hospital-onset C. difficile incidences were 5.1 preintervention and 4.3 postintervention. We found a statistically significant difference-in-difference between SPARC and non-SPARC hospital C. difficile reduction rates (ratio of IRR, 0.63; 95% CI, 0.44−0.89; P = .01). Conclusions: The Maryland SPARC collaborative, a public health-academic partnership, was associated with a 25% reduction in the Maryland C. difficile SIR. Hospitals participating in SPARC demonstrated significantly reduced C. difficile incidences to match that of high-performing hospitals in Maryland.Funding: NoneDisclosure: Aaron Milstone, BD – consulting.

High-Risk Interactions for Transmission of CRE to Health Worker Gloves or Gown: A Multicenter Cohort Study

Background: Carbapenem-resistant Enterobacteriaceae (CRE) are a serious threat to public health due to high associated morbidity and mortality. Healthcare personnel (HCP) gloves and gowns are frequently contaminated with antibiotic-resistant bacteria, including CRE. We aimed to identify patients more likely to transmit CRE to HCP gloves or gowns and HCP types and interactions more likely to lead to glove or gown contamination. Methods:Between January 2016 and August 2018, patients with a clinical or surveillance culture positive for CRE in the preceding 7 days were enrolled at 5 hospitals in California, Maryland, New York, and Pennsylvania. Ten HCP–patient interactions were observed for each patient and were recorded by research staff. Following patient care, but prior to doffing, the gloves and gown of each HCP were sampled for the presence of CRE. Results: We enrolled 313 CRE-colonized patients, and we observed 3,070 HCP interactions. CRE was transmitted to HCP gloves in 242 of 3,070 observations (7.9%) and to gowns in 132 of 3,070 observations (4.3%). Transmission to either gloves or gown occurred in 308 of 3,070 interactions observed (10%). The most frequently identified organism was Klebsiella pneumoniae (n = 171, 53.2%), followed by Enterobacter cloacae (n = 36, 11.2%), and Escherichia coli (n = 33, 10.3%). Patients in the intensive care unit (n = 177, 56.5%) were more likely to transmit CRE to HCP gloves or gown (OR, 1.65; 95% CI, 1.03–2.64) compared to those not in an ICU and adjusted for HCP type. The odds of CRE transmission increased with the number of different items touched near the patient (OR, 1.32; 95% CI, 1.21–1.44) and with the number of different items touched in the environment (OR, 1.13; 95% CI, 1.06–1.21). Respiratory therapists had the highest rates of transmission to gloves and gown (OR, 3.79; 95% CI, 1.61–8.94), followed by physical therapists and occupational therapists (OR, 2.82; 95% CI, 1.01–8.32) when compared to HCP in the “other” category. Manipulating the rectal tube (OR, 3.03; 95% CI, 1.53–6.04), providing wound care (OR, 2.81; 95% CI, 1.73–4.59), and touching the endotracheal tube (OR, 2.79; 95% CI, 1.86–4.19) were the interactions most strongly associated with CRE transmission compared to not touching these items and adjusted for HCP type. Conclusions: Transmission of CRE to HCP gloves and gowns occurs frequently. We identified interactions and HCP types that were particularly high risk for transmission. Infection control programs may wish to target infection prevention resources and education toward these high-risk professions and interactions.Funding: This work was supported by the CDC Prevention Epicenter Program (U43CK000450-01) and the NIH National Institute of Allergy and Infectious Diseases (R01 AI121146-01).Disclosures: None

Hospital Readmissions in Hospice Patients: Evaluation of Medication-Related Causes for Readmission.

Hospital readmissions, frequent medication changes, and polypharmacy are common issues for hospice patients. It is important to consider if close monitoring of medications by pharmacists could help these patients avoid hospital readmissions. The objectives of this study were to determine the incidence and types of medication-related problems that contributed to hospital readmissions from hospice settings. A retrospective chart review was conducted from October 1, 2018 to January 31, 2020. Patients admitted from hospice settings (i.e. Home, ALF, LTCF) and who were seen by the palliative care teams at 9 Maryland and Washington DC MedStar hospitals were included. Demographic information was collected: age, gender, race, primary hospice diagnosis, prognosis determined by provider prior to hospice disposition, reason for readmission, and medication list at readmission. The primary outcomes were the incidence and types of medication-related problems. Secondary outcomes included patient characteristics associated with readmission, and classes/number of medications changed before readmission. Descriptive statistics were used to analyze data. Seventy-five hospice patients were readmitted and seen by palliative care during the study period. Forty-three patients (57%) were found to have medication-related problems at readmission. The most common problem identified was needing additional drug therapy. Dose too low, dose too high, incorrect drugs, adverse drug reactions, and non-adherence were also identified. Additional reasons for readmission were: unanticipated new medical issue (n = 46, 61%) and uncontrolled symptoms (n = 34, 34%). These findings suggest that deprescribing practices possibly contributeto readmissions from hospice settings.

Is Geographic Socioeconomic Disadvantage Associated with the Rate of THA in Medicare-aged Patients?

Disparities in THA use may lead to inequitable care. Prior research has focused on disparities based on individual-level and isolated socioeconomic and demographic variables. To our knowledge, the role of composite, community-level geographic socioeconomic disadvantage has not been studied in the United States. As disparities persist, exploring the potential underlying drivers of these inequities may help in developing more targeted recommendations on how to achieve equitable THA use. (1) Is geographic socioeconomic disadvantage associated with decreased THA rates in Medicare-aged patients? (2) Do these associations persist after adjusting for differences in gender, race, ethnicity, and proximity to hospitals performing THA? In a study with a cross-sectional design, using population-based data from five-digit ZIP codes in Maryland, USA, from July 1, 2012 to March 31, 2019, we included all inpatient and outpatient primary THAs performed in individuals 65 years of age or older at acute-care hospitals in Maryland, as reported in the Health Services Cost Review Commission database. This database was selected because it provided the five-digit ZIP code data necessary to answer our study question. We excluded THAs performed for nonelective indications. We examined the annual rate of THA in our study population for each Maryland ZIP code, adjusted for differences across areas in distributions of gender, race, ethnicity, and distance to the nearest hospital performing THAs. Four hundred fourteen ZIP codes were included, with an overall mean ± SD THA rate of 371 ± 243 per 100,000 persons 65 years or older, a rate similar to that previously reported in individuals aged 65 to 84 in the United States. Statistical significance was assessed at α = 0.05. THA rates were higher in more affluent areas, with the following mean rates per 100,000 persons 65 years or older: 422 ± 259 in the least socioeconomically disadvantaged quartile, 339 ± 223 in the second-least disadvantaged, 277 ± 179 in the second-most disadvantaged, and 214 ± 179 in the most-disadvantaged quartile (p < 0.001). After adjustment for distributions in gender, race, ethnicity, and hospital proximity, we found that geographic socioeconomic disadvantage was still associated with THA rate. Compared with the least-disadvantaged quartile, the second-least disadvantaged quartile had 63 fewer THAs per 100,000 people (95% confidence interval 12 to 114), the second-most disadvantaged quartile had 136 fewer THAs (95% CI 62 to 211), and the most-disadvantaged quartile had 183 fewer THAs (95% CI 41 to 325). Geographic socioeconomic disadvantage may be the underlying driver of disparities in THA use. Although our study does not determine the "correct" rate of THA, our findings support increasing access to elective orthopaedic surgery in disadvantaged geographic communities, compared with prior research and efforts that have studied and intervened on the basis of isolated factors such as race and gender. Increasing access to orthopaedic surgeons in disadvantaged neighborhoods, educating physicians about when surgical referral is appropriate, and educating patients from these geographic communities about the risks and benefits of THA may improve equitable orthopaedic care across neighborhoods. Future studies should explore disparities in rates of appropriate THA and the role of density of orthopaedic surgeons in an area. Level III, therapeutic study.

What Hospital Implementation Strategies Are Associated with Successful Performance Under Maryland’s All‐Payer Model?

In January 2014, Maryland shifted its all‐payer hospital rate setting system from one that paid hospitals based on charges per case to a fixed global budget payment model. Under Maryland’s All‐Payer Model (MDAPM), hospitals had considerable flexibility to implement strategies to meet their global budget and other model goals, including improving quality, safety, and patient satisfaction.We conducted a comparative case study to identify the implementation strategies used in hospitals with successful outcomes under MDAPM.We conducted a mixed‐method analysis that examined the association between changes in hospital performance and the use of different implementation strategies. We used data from a survey fielded among all Maryland acute care hospitals from October to December 2018 that examined whether hospitals implemented 28 strategies, either before or during MDAPM. We complemented survey data with qualitative data collected from site visits to all hospitals and focus group discussions with hospital‐based nurses and physicians conducted from April 2015 to February 2019.We calculated two hospital‐level measures to assess performance—operating margin (financial performance) and Medicare 30‐day unplanned readmission rate (patient care performance). We used hospital financial reports to calculate change in operating margin from a two‐year baseline period (FY2012‐FY2013) to a five‐year implementation timeframe (FY2014‐FY2018). For readmissions, we calculated the change from a three‐year baseline period (January 2011‐December 2013) to a 4.5‐year implementation timeframe (January 2014‐June 2018). We established four performance categories for each outcome based on a hospital’s pre‐post change: decline and low, medium, or high improvement. For financial performance, improvement was an increase in operating margin. For patient care, performance improvement was a decrease in readmissions. Cut points for low, medium, and high improvement were based on the distribution of each outcome.46 Maryland acute care hospitals.Two strategies—employing physician staff and providing patients with clinically specific education—were associated with improvements in both performance outcomes. Eight strategies were associated with improved patient care performance, such as utilizing customized data analytics, engaging physicians in implementing MDAPM‐related strategies, investing in interventions that address social determinants of health, and referring patients to alternative care settings. Three strategies were associated with improved financial performance, including using Maryland’s health information exchange and participating in a program to improve alignment with physicians.Six strategies were not associated with either performance measure. Eight strategies were employed by nearly all Maryland hospitals and, therefore, could not be associated with hospital performance.Almost half of the strategies examined were associated with at least one of the dimensions of successful performance examined. The comparative case study approach does not provide a causal perspective on hospital performance. Thus, we cannot determine whether adopting these strategies improved hospital performance or whether improvements in performance facilitated hospitals’ ability or desire to implement these strategies.Hospitals seeking to improve their performance may want to emphasize the two implementation strategies that were associated with greater success in both patient care and financial performance. Hospitals operating under a global budget model may consider adopting the eight strategies implemented by nearly all Maryland hospitals as implementation building blocks.Centers for Medicare and Medicaid Services.

Maryland hospitals rank tops in psychiatric care

Baltimore's Johns Hopkins Hospital has been named the number‐one hospital in the country for psychiatry, and Sheppard Pratt, also in Baltimore, achieved fifth place for psychiatry, up from number seven last year, according to U.S. News &amp; World Report in its 2020–21 Best Hospitals rankings.