Temporary Financial Assistance for Housing Expenditures and Mortality and Suicide Outcomes Among US Veterans.

INTRODUCTION: It is unclear whether interventions designed to increase housing stability can also lead to improved health outcomes such as reduced risk of death and suicide morbidity. The objective of this study was to estimate the potential impact of temporary financial assistance (TFA) for housing-related expenses from the US Department of Veterans Affairs (VA) on health outcomes including all-cause mortality, suicide attempt, and suicidal ideation. METHODS: We conducted a retrospective national cohort study of Veterans who entered the VA Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the association between TFA and health outcomes using a multivariable Cox proportional hazards regression approach with inverse probability of treatment weighting. We conducted these analyses on our overall cohort as well as separately for those in the rapid re-housing (RRH) and homelessness prevention (HP) components of SSVF. Outcomes were all-cause mortality, suicide attempt, and suicidal ideation at 365 and 730 days following enrollment in SSVF. RESULTS: Our analysis cohort consisted of 41,969 unique Veterans with a mean (SD) duration of 87.6 (57.4) days in the SSVF program. At 365 days following SSVF enrollment, TFA was associated with a decrease in the risk of all-cause mortality (HR: 0.696, p < 0.001) and suicidal ideation (HR: 0.788, p < 0.001). We found similar results at 730 days (HR: 0.811, p = 0.007 for all-cause mortality and HR: 0.881, p = 0.037 for suicidal ideation). These results were driven primarily by individuals enrolled in the RRH component of SSVF. We found no association between TFA and suicide attempts. CONCLUSION: We find that providing housing-related financial assistance to individuals facing housing instability is associated with improvements in important health outcomes such as all-cause mortality and suicidal ideation. If causal, these results suggest that programs to provide housing assistance have positive spillover effects into other important aspects of individuals' lives.

Condition-Dependent and Dynamic Impacts of Indoor Masking Policies for Coronavirus Disease 2019 Mitigation: A Nationwide, Interrupted Time-Series Analysis.

BACKGROUND: The effectiveness and sustainability of masking policies as a pandemic control measure remain uncertain. Our aim was to evaluate different masking policy types on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence and to identify factors and conditions impacting effectiveness. METHODS: Nationwide, retrospective cohort study of US counties from 4/4/2020-28/6/2021. Policy impacts were estimated using interrupted time-series models with the masking policy change date (eg, recommended-to-required, no-recommendation-to-recommended, no-recommendation-to-required) modeled as the interruption. The primary outcome was change in SARS-CoV-2 incidence rate during the 12 weeks after the policy change; results were stratified by coronavirus disease 2019 (COVID-19) risk level. A secondary analysis was completed using adult vaccine availability as the policy change. RESULTS: In total, N = 2954 counties were included (2304 recommended-to-required, 535 no-recommendation-to-recommended, 115 no-recommendation-to-required). Overall, indoor mask mandates were associated with 1.96 fewer cases/100 000/week (cumulative reduction of 23.52/100 000 residents during the 12 weeks after policy change). Reductions were driven by communities with critical and extreme COVID-19 risk, where masking mandated policies were associated with an absolute reduction of 5 to 13.2 cases/100 000 residents/week (cumulative reduction of 60 to 158 cases/100 000 residents over 12 weeks). Impacts in low- and moderate-risk counties were minimal (<1 case/100 000 residents/week). After vaccine availability, mask mandates were not associated with significant reductions at any risk level. CONCLUSIONS: Masking policy had the greatest impact when COVID-19 risk was high and vaccine availability was low. When transmission risk decreases or vaccine availability increases, the impact was not significant regardless of mask policy type. Although often modeled as having a static impact, masking policy effectiveness may be dynamic and condition dependent.

Multidrug-Resistant Bacterial Infections in U.S. Hospitalized Patients, 2012-2017.

BACKGROUND: Multidrug-resistant (MDR) bacteria that are commonly associated with health care cause a substantial health burden. Updated national estimates for this group of pathogens are needed to inform public health action. METHODS: Using data from patients hospitalized in a cohort of 890 U.S. hospitals during the period 2012-2017, we generated national case counts for both hospital-onset and community-onset infections caused by methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococcus (VRE), extended-spectrum cephalosporin resistance in Enterobacteriaceae suggestive of extended-spectrum beta-lactamase (ESBL) production, carbapenem-resistant Enterobacteriaceae, carbapenem-resistant acinetobacter species, and MDR Pseudomonas aeruginosa. RESULTS: The hospital cohort in the study accounted for 41.6 million hospitalizations (>20% of U.S. hospitalizations annually). The overall rate of clinical cultures was 292 cultures per 1000 patient-days and was stable throughout the time period. In 2017, these pathogens caused an estimated 622,390 infections (95% confidence interval [CI], 579,125 to 665,655) among hospitalized patients. Of these infections, 517,818 (83%) had their onset in the community, and 104,572 (17%) had their onset in the hospital. MRSA and ESBL infections accounted for the majority of the infections (52% and 32%, respectively). Between 2012 and 2017, the incidence decreased for MRSA infection (from 114.18 to 93.68 cases per 10,000 hospitalizations), VRE infection (from 24.15 to 15.76 per 10,000), carbapenem-resistant acinetobacter species infection (from 3.33 to 2.47 per 10,000), and MDR P. aeruginosa infection (from 13.10 to 9.43 per 10,000), with decreases ranging from -20.5% to -39.2%. The incidence of carbapenem-resistant Enterobacteriaceae infection did not change significantly (from 3.36 to 3.79 cases per 10,000 hospitalizations). The incidence of ESBL infection increased by 53.3% (from 37.55 to 57.12 cases per 10,000 hospitalizations), a change driven by an increase in community-onset cases. CONCLUSIONS: Health care-associated antimicrobial resistance places a substantial burden on patients in the United States. Further work is needed to identify improved interventions for both the inpatient and outpatient settings. (Funded by the Centers for Disease Control and Prevention.).

How Does the Effect of the Comprehensive Care for Joint Replacement Model Vary Based on Surgical Volume and Costs of Care?

BACKGROUND: The Center for Medicare and Medicaid Innovation revised the comprehensive Care for Joint Replacement (CJR) program, a mandatory 90-day bundled payment for lower extremity joint replacement, in December 2017, retaining 34 of the original 67 metropolitan statistical areas with higher volume and historic episode payments. OBJECTIVES: We describe differences in costs, quality, and patient selection between hospitals that continued to participate compared with those that withdrew from CJR before and after the implementation of CJR. RESEARCH DESIGN: We used a triple difference approach to compare the magnitude of the policy effect for elective admissions between hospitals that were retained in the CJR revision or not, before and after the implementation of CJR, and compared with hospitals in nonparticipant metropolitan statistical areas. SUBJECTS: 694,275 Medicare beneficiaries undergoing elective lower extremity joint replacement from January 1, 2013 to August 31, 2017. MEASURES: The treatment effect heterogeneity of CJR. RESULTS: Hospitals retained in the CJR policy revision had a greater reduction in 90-day episode-of-care cost compared with those that were allowed to discontinue (-$846, 95% CI: -$1,338, -$435) and had greater cost reductions in the more recent year (2017). We also found evidence that retained CJR hospitals disproportionately reduced treating patients who were older than 85 years. CONCLUSIONS: Hospitals that continued to participate in CJR after the policy revision achieved a greater cost reduction. However, the cost reductions were partly attributed to avoiding potential higher - cost patients, suggesting that a bundled payment policy might induce disparities in care delivery.

A Cluster Randomized Trial of a Family Health History Platform to Identify and Manage Patients at Increased Risk for Colorectal Cancer.

BACKGROUND: Obtaining comprehensive family health history (FHH) to inform colorectal cancer (CRC) risk management in primary care settings is challenging. OBJECTIVE: To examine the effectiveness of a patient-facing FHH platform to identify and manage patients at increased CRC risk. DESIGN: Two-site, two-arm, cluster-randomized, implementation-effectiveness trial with primary care providers (PCPs) randomized to immediate intervention versus wait-list control. PARTICIPANTS: PCPs treating patients at least one half-day per week; patients aged 40-64 with no medical conditions that increased CRC risk. INTERVENTIONS: Immediate-arm patients entered their FHH into a web-based platform that provided risk assessment and guideline-driven decision support; wait-list control patients did so 12 months later. MAIN MEASURES: McNemar's test examined differences between the platform and electronic medical record (EMR) in rates of increased risk documentation. General estimating equations using logistic regression models compared arms in risk-concordant provider actions and patient screening test completion. Referral for genetic consultation was analyzed descriptively. KEY RESULTS: Seventeen PCPs were randomized to each arm. Patients (n = 252 immediate, n = 253 control) averaged 51.4 (SD = 7.2) years, with 83% assigned male at birth, 58% White persons, and 33% Black persons. The percentage of patients identified as increased risk for CRC was greater with the platform (9.9%) versus EMR (5.2%), difference = 4.8% (95% CI: 2.6%, 6.9%), p < .0001. There was no difference in PCP risk-concordant action [odds ratio (OR) = 0.7, 95% CI (0.4, 1.2; p = 0.16)]. Among 177 patients with a risk-concordant screening test ordered, there was no difference in test completion, OR = 0.8 [0.5,1.3]; p = 0.36. Of 50 patients identified by the platform as increased risk, 78.6% immediate and 68.2% control patients received a recommendation for genetic consultation, of which only one in each arm had a referral placed. CONCLUSIONS: FHH tools could accurately assess and document the clinical needs of patients at increased risk for CRC. Barriers to acting on those recommendations warrant further exploration. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT02247336 https://clinicaltrials.gov/ct2/show/NCT02247336.

Minimizing Costs for Dorsal Wrist Ganglion Treatment: A Cost-Minimization Analysis.

PURPOSE: Dorsal wrist ganglions are treated commonly with aspiration, or open or arthroscopic excision in operating room (OR) or procedure room (PR) settings. As it remains unclear which treatment strategy is most cost-effective in yielding cyst resolution, our purpose was to perform a formal cost-minimization analysis from the societal perspective in this context. METHODS: A microsimulation decision analytic model evaluating 5 treatment strategies for dorsal wrist ganglions was developed, ending in either resolution or a single failed open revision surgical excision. Strategies included immediate open excision in the OR, immediate open excision in the PR, immediate arthroscopic excision in the OR, or 1 or 2 aspirations before each of the surgical options. Recurrence and complications rates were pooled from the literature for each treatment type. One-way sensitivity and threshold analyses were performed. RESULTS: The most cost-minimal strategy was 2 aspiration attempts before open surgical excision in the PR setting ($1,603 ± 1,595 per resolved case), followed by 2 aspirations before open excision in the OR ($1,969 ± 2,165 per resolved case). Immediate arthroscopic excision was the costliest strategy ($6,539 ± 264 per resolved case). Single aspiration preoperatively was more cost-minimal than any form of immediate surgery ($2,918 ± 306 and $4,188 ± 306 per resolved case performed in the PR and OR, respectively). CONCLUSIONS: From the societal perspective, performing 2 aspirations before surgical excision in the PR setting was the most cost-minimal treatment strategy, although in reference to surgeons who do not perform this procedure in the PR setting, open excision in the OR was nearly as cost-effective. As patient preferences may preclude routinely performing 2 aspirations, performing at least 1 aspiration before surgical excision improves the cost-effectiveness of dorsal wrist ganglions treatment. TYPE OF STUDY/LEVEL OF EVIDENCE: Economic Decision Analysis II.

Mortality, Length of Stay, and Healthcare Costs Associated With Multidrug-Resistant Bacterial Infections Among Elderly Hospitalized Patients in the United States.

BACKGROUND: This study reports estimates of the healthcare costs, length of stay, and mortality associated with infections due to multidrug-resistant bacteria among elderly individuals in the United States. METHODS: We conducted a retrospective cohort analysis of patients aged ≥65 admitted for inpatient stays in the Department of Veterans Affairs healthcare system between 1/2007-12/2018. We identified those with positive cultures for multidrug-resistant bacteria and matched each infected patient to ≤10 control patients. We then performed multivariable regression models to estimate the attributable cost and mortality due to the infection. We also constructed multistate models to estimate the attributable length of stay due to the infection. Finally, we multiplied these pathogen-specific attributable cost, length of stay, and mortality estimates by national case counts from hospitalized patients in 2017. RESULTS: Our cohort consisted of 87 509 patients with infections and 835 048 matched controls. Costs were higher for hospital-onset invasive infections, with attributable costs ranging from $22 293 (95% confidence interval: $19 101-$24 485) for methicillin-resistant Staphylococcus aureus (MRSA) to $57 390 ($34 070-$80 710) for carbapenem-resistant (CR) Acinetobacter. Similarly, for hospital-onset invasive infections, attributable mortality estimates ranged from 14.2% (12.2-16.2%) for MRSA to 24.1% (12.1-36.0%) for CR Acinetobacter. The aggregate cost of these infections was an estimated $1.9 billion ($1.3 billion-$2.5 billion) with 11 852 (8719-14 985) deaths and 448 224 (354 513-541 934) inpatient days in 2017. CONCLUSIONS: Efforts to prevent these infections due to multidrug-resistant bacteria could save a significant number of lives and healthcare resources.

One-Year Costs Associated With the Veterans Affairs National TeleStroke Program.

OBJECTIVES: Access to timely care is important for patients with stroke, where rapid diagnosis and treatment affect functional status, disability, and mortality. Telestroke programs connect stroke specialists with emergency department staff at facilities without on-site stroke expertise. The objective of this study was to examine healthcare costs for patients with stroke who sought care before and after implementation of the US Department of Veterans Affairs National TeleStroke Program (NTSP). METHODS: We identified 471 patients who had a stroke and sought care at a telestroke site and compared them to 529 patients with stroke who received stroke care at the same sites before telestroke implementation. We examined patient costs for 12 months before and after stroke, using a linear model with a patient-level fixed effect. RESULTS: NTSP was associated with significantly higher rates of patients receiving guideline concordant care. Compared with control patients, those treated by NTSP were 14.3 percentage points more likely to receive tissue plasminogen activator and 4.3 percentage points more likely to receive a thrombectomy (all P < .0001). NTSP was associated with $4821 increased costs for patients with stroke in the first 30 days after the program (2019 dollars). There were no observed savings over 12 months, and the added costs of care were attributable to higher rates of guideline concordant care. CONCLUSIONS: Telestroke programs are unlikely to yield short-term savings because optimal stroke care is expensive. Healthcare organizations should expect increases in healthcare costs for patients treated for stroke in the first year after implementing a telestroke program.

Directly Measured Costs of Severe Maternal Morbidity Events during Delivery Admission Compared with Uncomplicated Deliveries.

OBJECTIVE: To estimate the actual excess costs of care for delivery admissions complicated by severe maternal morbidity (SMM) compared with uncomplicated deliveries. STUDY DESIGN: This is a retrospective cohort study of all deliveries between October 2015 and September 2018 at a single tertiary academic center. Pregnant individuals ≥ 20 weeks' gestation who delivered during a hospital admission (i.e., a "delivery admission") were included. The primary exposure was SMM, as defined by Centers for Disease Control and Prevention (CDC) criteria, CDC criteria excluding blood transfusion, or by validated hospital-defined criteria (intensive care unit admission or ≥ 4 units of blood products). Potential SMM events identified via administrative and blood bank data were reviewed to confirm SMM events had occurred. Primary outcome was total actual costs of delivery admission derived from time-based accounting and acquisition costs in the institutional Value Driven Outcomes database. Cost of delivery admissions with SMM events was compared with the cost of uncomplicated delivery using adjusted generalized linear models, with separate models for each of the SMM definitions. Relative cost differences are reported due to data restrictions. RESULTS: Of 12,367 eligible individuals, 12,361 had complete cost data. Two hundred and eighty individuals (2.3%) had confirmed SMM events meeting CDC criteria. CDC criteria excluding transfusion alone occurred in 1.0% (n = 121) and hospital-defined SMM in 0.6% (n = 76). In adjusted models, SMM events by CDC criteria were associated with a relative cost increase of 2.45 times (95% confidence interval [CI]: 2.29-2.61) the cost of an uncomplicated delivery. SMM by CDC criteria excluding transfusion alone was associated with a relative increase of 3.26 (95% CI: 2.95-3.60) and hospital-defined SMM with a 4.19-fold (95% CI: 3.64-4.83) increase. Each additional CDC subcategory of SMM diagnoses conferred a relative cost increase of 1.60 (95% CI: 1.43-1.79). CONCLUSION: SMM is associated with between 2.5- and 4-fold higher cost than uncomplicated deliveries. KEY POINTS: · Severe maternal morbidity as defined by CDC criteria confers a 2.5-fold increase in delivery hospitalization costs.. · Intensive care unit admission or ≥ 4 units of blood products confer a fourfold increase in cost.. · Costs of maternal morbidity may motivate SMM review..

Criminal legal involvement among recently separated veterans: Findings from the LIMBIC study.

OBJECTIVE: This study investigated individual-level and neighborhood-level predictors of criminal legal involvement of veterans during the critical transition period from military to civilian life. HYPOTHESES: We hypothesized that substance use, mental health, and personality disorders will increase the incidence of criminal legal involvement, which will be highest among veterans living in socioeconomically disadvantaged neighborhoods after military discharge. METHOD: We analyzed data from a longitudinal cohort study of 418,624 veterans who entered Department of Veterans Affairs (VA) health care after leaving the military. Department of Defense (DoD) data on clinical diagnoses, demographics, and military history were linked to VA data on neighborhood of residence and criminal legal involvement. RESULTS: Criminal legal involvement in the 2 years following military discharge was most strongly predicted by younger age, substance use disorder, and being male. Other predictors included the military branch in which veterans served, deployment history, traumatic brain injury, serious mental illness, personality disorder, having fewer physical health conditions, and living in socioeconomically disadvantaged neighborhoods. These factors combined in multivariable analysis yielded a very large effect size for predicting criminal legal involvement after military separation (area under the curve = .82). The incidence of criminal legal involvement was 10 times higher among veterans with co-occurring substance use disorder, serious mental illness, and personality disorder than among veterans with none of these diagnoses, and these rates were highest among veterans residing in more socioeconomically disadvantaged neighborhoods. CONCLUSIONS: To our knowledge, this is the largest longitudinal study of risk factors for criminal legal involvement in veterans following military discharge. The findings supported the hypothesis that veterans with co-occurring mental disorders living in socioeconomically disadvantaged neighborhoods were at higher risk of criminal legal involvement, underscoring the complex interplay of individual-level and neighborhood-level risk factors for criminal legal involvement after veterans leave the military. These results can inform policy and programs, such as the DoD Transition Assistance Program (TAP) and the VA Military to Civilian Readiness Pathway program (M2C Ready), to enhance community reintegration and prevent criminal legal involvement among veterans transitioning from military to civilian life. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Economic Evaluations of New Antibiotics: The High Potential Value of Reducing Healthcare Transmission Through Decolonization.

BACKGROUND: Antibiotics designed to decolonize carriers of drug-resistant organisms could offer substantial population health benefits, particularly if they can help avert outbreaks by interrupting person-to-person transmission chains. However, cost effectiveness of an antibiotic is typically evaluated only according to its benefits to recipients, which can be difficult to demonstrate for carriers of an organism that may not pose an immediate health threat to the carrier. METHODS: We developed a mathematical transmission model to quantify the effects of 2 hypothetical antibiotics targeting carbapenem-resistant Enterobacteriaceae (CRE) among long-term acute care hospital inpatients: one assumed to decrease the death rate of patients with CRE bloodstream infections (BSIs) and the other assumed to decolonize CRE carriers after clinical detection. We quantified the effect of each antibiotic on the number of BSIs and deaths among patients receiving the drug (direct effect) and among all patients (direct and indirect effect) compared to usual care. We applied these results to a cost-effectiveness analysis with effectiveness outcome of life-years gained and assumed costs for antibiotic doses and for CRE BSI. RESULTS: The decolonizing antibiotic, once indirect effects were included, produced increased relative effectiveness and decreased relative costs compared to both usual care and the BSI treatment antibiotic. In fact, in most scenarios, the decolonizing drug was the dominant treatment strategy (ie, less costly and more effective). CONCLUSIONS: Antibiotics that decolonize carriers of drug-resistant organisms can be highly cost-effective when considering indirect benefits within populations vulnerable to outbreaks. Public health could benefit from finding ways to incentivize development of decolonizing antibiotics in the US, where drugs with unclear direct benefits to recipients would pose difficulties in achieving FDA approval and financial benefit to the developer.

Matching Methods to Problems: Using Data Science and Transmission Modeling to Combat Antimicrobial Resistance.

Antimicrobial resistance is a growing worldwide crisis, declared by the World Health Organization as "one of the principal threats to global public health today." The emergence and spread of antimicrobial resistance is a multifaceted problem that spans all aspects of healthcare, and research efforts to advance the field must likewise employ investigators with a diverse set of expertise and a variety of approaches and study designs who recognize and address the unique challenges of infectious-disease and antimicrobial-resistance research. An understanding of transmission dynamics and externalities, both positive and negative, is critical to any assessment of the impact of an intervention or policy related to infectious disease, infection prevention, or antimicrobial stewardship, in order to create a more comprehensive and accurate estimate of the costs and outcomes associated with an intervention. These types of advanced studies are necessary if we are to significantly alter the course of this crisis and improve the outlook for our future.

Attributable Cost of Healthcare-Associated Methicillin-Resistant Staphylococcus aureus Infection in a Long-term Care Center.

BACKGROUND: Studies have shown that healthcare-associated infections (HAIs) due to methicillin-resistant Staphylococcus aureus (MRSA) can lead to substantial healthcare costs in acute care settings. However, little is known regarding the consequences of these infections on patients in long-term care centers (LTCCs). The purpose of this study was to estimate the attributable cost of MRSA HAIs in LTCCs within the Department of Veterans Affairs (VA). METHODS: We performed a retrospective cohort study of patients admitted to VA LTCCs between 1 January 2009 and 30 September 2015. MRSA HAIs were defined as a positive clinical culture at least 48 hours after LTCC admission so as to exclude community-acquired infections. Positive cultures were further classified by site (sterile or nonsterile). We used multivariable generalized linear models and 2-part models to compare the LTCC and acute care costs between patients with and without an MRSA HAI. RESULTS: In our primary analysis, there was no difference in LTCC costs between patients with and without a MRSA HAI. There was, however, a significant increase in the odds of being transferred to an acute care facility (odds ratio, 4.40 [95% confidence interval {CI}, 3.40-5.67]) and in acute care costs ($9711 [95% CI, $6961-$12 462]). CONCLUSIONS: Our findings of high cost and increased risk of transfer from LTCC to acute care are important because they highlight the substantial clinical and economic impact of MRSA infections in this population.

National Estimates of Healthcare Costs Associated With Multidrug-Resistant Bacterial Infections Among Hospitalized Patients in the United States.

BACKGROUND: Treating patients with infections due to multidrug-resistant pathogens often requires substantial healthcare resources. The purpose of this study was to report estimates of the healthcare costs associated with infections due to multidrug-resistant bacteria in the United States (US). METHODS: We performed retrospective cohort studies of patients admitted for inpatient stays in the Department of Veterans Affairs healthcare system between January 2007 and October 2015. We performed multivariable generalized linear models to estimate the attributable cost by comparing outcomes in patients with and without positive cultures for multidrug-resistant bacteria. Finally, we multiplied these pathogen-specific, per-infection attributable cost estimates by national counts of infections due to each pathogen from patients hospitalized in a cohort of 722 US hospitals from 2017 to generate estimates of the population-level healthcare costs in the US attributable to these infections. RESULTS: Our analysis cohort consisted of 16 676 patients with community-onset infections and 172 712 matched controls and 8246 patients with hospital-onset infections and 66 939 matched controls. The highest cost was seen in hospital-onset invasive infections, with attributable costs (95% confidence intervals) ranging from $30 998 ($25 272-$36 724) for methicillin-resistant Staphylococcus aureus to $74 306 ($20 377-$128 235) for carbapenem-resistant (CR) Acinetobacter. The highest attributable costs for community-onset invasive infections were seen in CR Acinetobacter ($62 396; $20 370-$104 422). Treatment of these infections cost an estimated $4.6 billion ($4.1 billion-$5.1 billion) in 2017 in the US for community- and hospital-onset infections combined. CONCLUSIONS: We found that antimicrobial-resistant infections led to substantial healthcare costs.

Expanding an Economic Evaluation of the Veterans Affairs (VA) Methicillin-resistant Staphylococcus aureus (MRSA) Prevention Initiative to Include Prevention of Infections From Other Pathogens.

BACKGROUND: In October 2007, Veterans Affairs (VA) launched a nationwide effort to reduce methicillin-resistant Staphylococcus aureus (MRSA) transmission called the National MRSA Prevention Initiative. Although the initiative focused on MRSA, recent evidence suggests that it also led to a significant decrease in hospital-onset (HO) gram-negative rod (GNR) bacteremia, vancomycin-resistant Enterococci (VRE), and Clostridioides difficile infections. The objective of this analysis was to evaluate the cost-effectiveness and the budget impact of the initiative taking into account MRSA, GNR, VRE, and C. difficile infections. METHODS: We developed an economic model using published data on the rate of MRSA hospital-acquired infections (HAIs) and HO-GNR bacteremia in the VA from October 2007 to September 2015, estimates of the attributable cost and mortality of these infections, and the costs associated with the intervention obtained through a microcosting approach. We explored several different assumptions for the rate of infections that would have occurred if the initiative had not been implemented. Effectiveness was measured in life-years (LYs) gained. RESULTS: We found that during fiscal years 2008-2015, the initiative resulted in an estimated 4761-9236 fewer MRSA HAIs, 1447-2159 fewer HO-GNR bacteremia, 3083-3602 fewer C. difficile infections, and 2075-5393 fewer VRE infections. The initiative itself was estimated to cost $561 million over this 8-year period, whereas the cost savings from prevented MRSA HAIs ranged from $165 to $315 million and from prevented HO-GNR bacteremia, CRE and C. difficile infections ranged from $174 to $200 million. The incremental cost-effectiveness of the initiative ranged from $12 146 to $38 673/LY when just including MRSA HAIs and from $1354 to $4369/LY when including the additional pathogens. The overall impact on the VA's budget ranged from $67 to$195 million. CONCLUSIONS: An MRSA surveillance and prevention strategy in VA may have prevented a substantial number of infections from MRSA and other organisms. The net increase in cost from implementing this strategy was quite small when considering infections from all types of organisms. Including spillover effects of organism-specific prevention efforts onto other organisms can provide a more comprehensive evaluation of the costs and benefits of these interventions.

The Impact of Halting Elective Admissions in Anticipation of a Demand Surge Due to the Coronavirus Pandemic (COVID-19).

BACKGROUND: In anticipation of a demand surge for hospital beds attributed to the coronavirus pandemic (COVID-19) many US states have mandated that hospitals postpone elective admissions. OBJECTIVES: To estimate excess demand for hospital beds due to COVID-19, the net financial impact of eliminating elective admissions in order to meet demand, and to explore the scenario when demand remains below capacity. RESEARCH DESIGN: An economic simulation to estimate the net financial impact of halting elective admissions, combining epidemiological reports, the US Census, American Hospital Association Annual Survey, and the National Inpatient Sample. Deterministic sensitivity analyses explored the results while varying assumptions for demand and capacity. SUBJECTS: Inputs regarding disease prevalence and inpatient utilization were representative of the US population. Our base case relied on a hospital admission rate reported by the Center for Disease Control and Prevention of 137.6 per 100,000, with the highest rates in people aged 65 years and older (378.8 per 100,000) and 50-64 years (207.4 per 100,000). On average, elective admissions accounted for 20% of total hospital admissions, and the average rate of unoccupied beds across hospitals was 30%. MEASURES: Net financial impact of halting elective admissions. RESULTS: On average, hospitals COVID-19 demand for hospital bed-days fell well short of hospital capacity, resulting in a substantial financial loss. The net financial impact of a 90-day COVID surge on a hospital was only favorable under a narrow circumstance when capacity was filled by a high proportion of COVID-19 cases among hospitals with low rates of elective admissions. CONCLUSIONS: Hospitals that restricted elective care took on a substantial financial risk, potentially threatening viability. A sustainable public policy should therefore consider support to hospitals that responsibly served their communities through the crisis.

Use of Oral Vancomycin for Clostridioides difficile Infection and the Risk of Vancomycin-Resistant Enterococci.

BACKGROUND: Vancomycin is now a preferred treatment for all cases of Clostridioides difficile infection (CDI), regardless of disease severity. Concerns remain that a large-scale shift to oral vancomycin may increase selection pressure for vancomycin-resistant Enterococci (VRE). We evaluated the risk of VRE following oral vancomycin or metronidazole treatment among patients with CDI. METHODS: We conducted a retrospective cohort study of patients with CDI in the US Department of Veterans Affairs health system between 1 January 2006 and 31 December 2016. Patients were included if they were treated with metronidazole or oral vancomycin and had no history of VRE in the previous year. Missing data were handled by multiple imputation of 50 datasets. Patients treated with oral vancomycin were compared to those treated with metronidazole after balancing on patient characteristics using propensity score matching in each imputed dataset. Patients were followed for VRE isolated from a clinical culture within 3 months. RESULTS: Patients treated with oral vancomycin were no more likely to develop VRE within 3 months than metronidazole-treated patients (adjusted relative risk, 0.96; 95% confidence interval [CI], .77 to 1.20), equating to an absolute risk difference of -0.11% (95% CI, -.68% to .47%). Similar results were observed at 6 months. CONCLUSIONS: Our results suggest that oral vancomycin and metronidazole are equally likely to impact patients' risk of VRE. In the setting of stable CDI incidence, replacement of metronidazole with oral vancomycin is unlikely to be a significant driver of increased risk of VRE at the patient level.In this multicenter, retrospective cohort study of patients with Clostridioides difficile infection, the use of oral vancomycin did not increase the risk of vancomycin-resistant Enterococci infection at 3 or 6 months compared to metronidazole.

Cost-Effectiveness of Nusinersen and Universal Newborn Screening for Spinal Muscular Atrophy.

OBJECTIVE: To evaluate the cost-effectiveness of nusinersen with and without universal newborn screening for infantile-onset spinal muscular atrophy (SMA). STUDY DESIGN: A Markov model using data from clinical trials with US epidemiologic and cost data was developed. The primary interventions studied were nusinersen treatment in a screening setting, nusinersen treatment in a nonscreening setting, and standard care. Analysis was conducted from a societal perspective. RESULTS: Compared with no screening and no treatment, the incremental cost-effectiveness ratio (ICER) for nusinersen with screening was $330 558 per event-free life year (LY) saved, whereas the ICER for nusinersen treatment without screening was $508 481 per event-free LY saved. For nusinersen with screening to be cost-effective at a willingness-to-pay (WTP) threshold of $50 000 per event-free LY saved, the price would need to be $23 361 per dose, less than one-fifth its current price of $125 000. Preliminary data from the NURTURE trial indicated an 85.7% improvement in expected LYs saved compared with our base results. In probabilistic sensitivity analysis, nusinersen and screening was a preferred strategy 93% of the time at a $500 000 WTP threshold. CONCLUSION: Universal newborn screening for SMA provides improved economic value for payers and patients when nusinersen is available.

Provider Practice Competition and Adoption of Medicare's Oncology Care Model.

BACKGROUND: There is a concern that the Oncology Care Model (OCM), a voluntary bundled payment program, may incentivize mergers and acquisitions among physician practices leading to reduced competition and price increases. These concerns are heightened if OCM is preferentially adopted in competitive health care markets because it could result in reduced competition, but little is known about the characteristics of markets where OCM is adopted. OBJECTIVE: To measure the association between regional market competition among medical oncologists with the initial adoption of OCM. RESEARCH DESIGN: The Herfindahl-Hirschman Index (HHI), a measure of competition, was calculated for hospital referral regions (HRRs) using secondary data from the Centers for Medicare and Medicaid Services. The relationship between HHI and OCM adoption was assessed using a 2-part regression model adjusting for the market-level number of practices, physician density, average practice size, sociodemographic characteristics, and medical resources. A count model on all HRRs was also estimated to assess an overall effect. SUBJECTS: A total of 10,788 physicians in 3,537 practices who billed Medicare for oncology services in 2015. RESULTS: OCM was adopted in 114 (37%) of the 306 HRRs. We found that practices in competitive health care markets were more likely to adopt OCM than in noncompetitive markets. Two-part regression analysis indicated a nonlinear relationship between HHI and OCM adoption. Average practice size, number of practices in an HRR, and the hospital bed rate were positively associated with adoption, whereas the rate of full-time equivalent hospital employees to 1000 residents was negatively associated with adoption. CONCLUSIONS: OCM adoption was higher in HRRs with greater competition. Careful monitoring of market-level changes among OCM adopters should be undertaken to ensure that the benefits of the OCM outweigh the negative consequences of possible changes in competition.

Factors That Contribute to Cost Differences Based on ICU of Admission in Neonates Undergoing Congenital Heart Surgery: A Novel Decomposition Analysis.

OBJECTIVES: We leveraged decomposition analysis, commonly used in labor economics, to understand determinants of cost differences related to location of admission in children undergoing neonatal congenital heart surgery. DESIGN: A retrospective cohort study. SETTING: Pediatric Health Information Systems database. PATIENTS: Neonates (<30 d old) undergoing their index congenital heart surgery between 2004 and 2013. MEASUREMENTS AND MAIN RESULTS: A decomposition analysis with bootstrapping determined characteristic (explainable by differing covariate levels) and structural effects (if covariates are held constant) related to cost differences. Covariates included center volume, age at admission, prematurity, sex, race, genetic or major noncardiac abnormality, Risk Adjustment for Congenital Heart Surgery-1 score, payor, admission year, cardiac arrest, infection, and delayed sternal closure.Of 19,984 infants included (10,491 [52%] to cardiac ICU/PICU and 9,493 [48%] to neonatal ICU), admission to the neonatal ICU had overall higher average costs ($24,959 ± $3,260; p < 0.001) versus cardiac ICU/PICU admission. Characteristic effects accounted for higher costs in the neonatal ICU ($28,958 ± $2,044; p < 0.001). Differing levels of prematurity, genetic syndromes, hospital volume, age at admission, and infection contributed to higher neonatal ICU costs, with infection rate providing the most significant contribution ($13,581; p < 0.001). Aggregate structural effects were not associated with cost differences for those admitted to the neonatal ICU versus cardiac ICU/PICU (p = 0.1). Individually, prematurity and age at admission were associated with higher costs due to structural effects for infants admitted to the neonatal ICU versus cardiac ICU/PICU. CONCLUSIONS: The difference in cost between neonatal ICU and cardiac ICU/PICU admissions is largely driven by differing prevalence of risk factors between these units. Infection rate was a modifiable factor that accounted for the largest difference in costs between admitting units.