Varied Health Spending Growth Across US States Was Associated With Incomes, Price Levels, And Medicaid Expansion, 2000-19.

Little is known about health care spending variation across the US for recent years. To estimate health spending by state and payer, we combined data from the government's State Health Expenditure Accounts, which have estimates through 2014, with other primary data on spending. In 2019 state-specific per person spending ranged from $7,250 to $14,500. After adjustment for inflation, annualized per person spending growth for each state ranged from 1.0 percent in Washington, D.C., to 4.2 percent in South Dakota between 2013 and 2019. The factors that explained the most variation across states were incomes (25.3 percent) and consumer prices (21.7 percent). Medicaid expansion was associated with increases in total spending per person, although the median of spending in expansion states showed slower growth in out-of-pocket spending than the median in nonexpansion states. Contemporary estimates of state health spending are valuable for tracking divergent expenditure trajectories in the US and assessing the associated factors.

Hospital utilization rates for influenza and RSV: a novel approach and critical assessment.

BACKGROUND: Influenza and respiratory syncytial virus (RSV) contribute significantly to the burden of acute lower respiratory infection (ALRI) inpatient care, but heterogeneous coding practices and availability of inpatient data make it difficult to estimate global hospital utilization for either disease based on coded diagnoses alone. METHODS: This study estimates rates of influenza and RSV hospitalization by calculating the proportion of ALRI due to influenza and RSV and applying this proportion to inpatient admissions with ALRI coded as primary diagnosis. Proportions of ALRI attributed to influenza and RSV were extracted from a meta-analysis of 360 total sources describing inpatient hospital admissions which were input to a Bayesian mixed effects model over age with random effects over location. Results of this model were applied to inpatient admission datasets for 44 countries to produce rates of hospital utilization for influenza and RSV respectively, and rates were compared to raw coded admissions for each disease. RESULTS: For most age groups, these methods estimated a higher national admission rate than the rate of directly coded influenza or RSV admissions in the same inpatient sources. In many inpatient sources, International Classification of Disease (ICD) coding detail was insufficient to estimate RSV burden directly. The influenza inpatient burden estimates in older adults appear to be substantially underestimated using this method on primary diagnoses alone. Application of the mixed effects model reduced heterogeneity between countries in influenza and RSV which was biased by coding practices and between-country variation. CONCLUSIONS: This new method presents the opportunity of estimating hospital utilization rates for influenza and RSV using a wide range of clinical databases. Estimates generally seem promising for influenza and RSV associated hospitalization, but influenza estimates from primary diagnosis seem highly underestimated among older adults. Considerable heterogeneity remains between countries in ALRI coding (i.e., primary vs non-primary cause), and in the age profile of proportion positive for influenza and RSV across studies. While this analysis is interesting because of its wide data utilization and applicability in locations without laboratory-confirmed admission data, understanding the sources of variability and data quality will be essential in future applications of these methods.

Improvement of Inpatient Psychiatric Facility Quality Reporting program measure: Screening for metabolic disorders through pharmacy collaborative practice agreement.

BACKGROUND: Second-generation antipsychotics are associated with lower risks of extrapyramidal symptoms, including tardive dyskinesia. However, many second-generation antipsychotics are associated with metabolic adverse effects, including weight gain, impaired blood glucose control, and hyperlipidemia. Metabolic monitoring for patients prescribed antipsychotic medication is 1 of several measures of the Centers for Medicare & Medicaid Services' Inpatient Psychiatric Facility Quality Reporting program. Screening for metabolic disorders (SMD) must be obtained within the previous 365 days before the hospital discharge date. National data suggest that compliance with this measure is low. OBJECTIVE: To improve compliance of metabolic monitoring by 20% while ensuring that the quality improvement interventions did not cause any unintended adverse effects on other aspects of our system. PRACTICE DESCRIPTION: This quality initiative was conducted at a large, 2000-bed academic medical center with approximately 80 inpatient psychiatric beds. PRACTICE INNOVATION: To improve the metabolic screening rates, a pharmacist collaborative practice agreement (CPA) was established as part of a quality improvement project. Previously, there were no formal processes at the institution to ensure that appropriate laboratory tests were conducted. EVALUATION METHODS: Using an uncontrolled before-and-after design, SMD data were gathered from 6 months before and 6 months after CPA implementation. Pearson chi-square test or Fisher exact test were used to compare the pre- and postintervention groups in this quasi-experimental design. RESULTS: Compared with the preintervention period, compliance of SMD monitoring increased by 21.2% in the postintervention phase-from 69.2% to 90.4% (P < 0.001). CONCLUSION: The empowerment of clinical pharmacists with a CPA significantly improved guideline-concordant metabolic monitoring of antipsychotics. These findings may have significant impact on the approach to the safe use of these essential psychotropic medications and provide a framework for other inpatient mental health facilities to optimally use the skills of their interdisciplinary team.

National burden estimates of hospitalisations for acute lower respiratory infections due to respiratory syncytial virus in young children in 2019 among 58 countries: a modelling study.

BACKGROUND: Respiratory syncytial virus (RSV) is the predominant viral pathogen associated with acute lower respiratory infection (ALRI) in children who are younger than 5 years. Little is reported on the national estimates of RSV-associated ALRI hospitalisations in these children on the basis of robust epidemiological data. We aimed to generate national level estimates for RSV-associated ALRI hospitalisations in children aged younger than 5 years. METHODS: We included data for RSV and ALRI hospitalisation in children who were younger than 5 years from systematic literature reviews (including unpublished data) and from inpatient databases, representing 58 countries. We used two different methods, the rate-based method and the proportion-based method, to estimate national RSV-associated ALRI hospitalisations in children younger than 5 years in 2019. The rate-based method synthesised data for laboratory-confirmed RSV-associated ALRI hospitalisation rates using a spatiotemporal Gaussian process meta-regression (ST-GPR). The proportion-based method applied data for RSV positive proportions among ALRI to all-cause ALRI hospitalisation envelopes (ie, total disease burden of ALRI hospitalisations of any cause) using a Bayesian regularised trimmed meta-regression (MR-BRT). Where applicable, we reported estimates by both methods to provide a plausible range for each country. FINDINGS: A total of 334 studies and 1985 data points (defined as an individual estimate for one age group and 1 year for each study) were included in our analysis, accounting for 398 million (59%) of the 677 million children aged younger than 5 years worldwide representing 58 countries. We reported the number of annual national RSV-associated ALRI hospitalisations for 29 countries using the rate-based method, and for 42 countries using the proportion-based method. The median number of RSV-associated ALRI hospitalisations in children younger than 5 years was 8·25 thousand (IQR 1·97-48·01), and the median rate of RSV-associated ALRI hospitalisations was 514 (339-866) hospitalisations per thousand children younger than 5 years. Despite large variation among countries, a high proportion of the RSV-associated ALRI hospitalisations were in infants aged younger than 1 year in all countries (median proportion 45%, IQR 32-56). In 272 (76%) of the 358 years included in the analysis, the RSV-associated ALRI hospitalisation rate fluctuated between 0·8 and 1·2 times the country's median yearly rate. General agreement was observed between estimates by the rate-based method and proportion-based method, with the exceptions of India, Kenya, Norway, and Philippines. INTERPRETATION: By incorporating data from various sources, our study provides robust estimates on national level burden of RSV-associated ALRI hospitalisation in children aged younger than 5 years. These estimates are important for informing policy for the introduction of RSV immunisations and also serve as baseline data for the RSV disease burden in young children. FUNDING: The Foundation for Influenza Epidemiology.

Addressing clozapine under-prescribing and barriers to initiation: a psychiatrist, advanced practice provider, and trainee survey.

Clozapine use has declined, despite its superior antipsychotic efficacy in treatment-resistant schizophrenia. Implications for clozapine underutilization include suboptimal treatment outcomes and increased hospitalizations. Many barriers preventing the use of clozapine have been described in the literature, including suboptimal knowledge and poor perceptions. The aim of this study was to assess psychiatry prescribers' perception and knowledge of clozapine. A survey was distributed to advanced practice providers, psychiatrists, and trainees (i.e. residents and fellows) at 10 medical centers within the US and Canada. The survey asked respondents about their perception of clozapine use and assessed their pharmacotherapeutic knowledge of clozapine. Two hundred eleven individual submitted completed surveys of a possible 1152; a response rate of 18.3%. There were no statistically significant differences between the advanced practice provider plus psychiatrist groups and the trainee group for most perception (eight of nine) and knowledge (eight of nine) questions. The knowledge questions with the lowest scores pertained to clozapine reinitiation and myocarditis. The majority of all respondents (144, 68.2%) felt that clozapine prescribing was a burden. Findings of this study support the need for continued clozapine education regardless of a prescriber's age/experience. Future studies to assess barriers to clozapine prescribing should extend beyond academic centers.

State Laws and Nonprofit Hospital Community Benefit Spending.

OBJECTIVE: To determine the association of state laws on nonprofit hospital community benefit spending. DESIGN: We used multivariate models to estimate the association between different types of state-level community benefit laws and nonprofit hospital community benefit spending from tax filings. SETTING: All 50 US states. PARTICIPANTS: A total of 2421 nonprofit short-term acute care hospital organizations that filled an internal revenue service Form 990 and Schedule H for calendar during years 2009-2015. RESULTS: Between 2009 and 2015, short-term acute care hospitals spent an average of $46 billion per year in total, or $20 million per hospital on community benefit activities. Exposure to a state-level community benefit law of any type was associated with an $8.42 (95% confidence interval: 1.20-15.64) per $1000 of total operating expense greater community benefit spending. Spending amounts and patterns varied on the basis of the type of community benefit law and hospital urbanicity. CONCLUSIONS: State laws are associated with nonprofit hospital community benefit spending. Policy makers can use community benefit laws to increase nonprofit hospital engagement with public health.

Establishing a Baseline: Community Benefit Spending by Not-for-Profit Hospitals Prior to Implementation of the Affordable Care Act.

CONTEXT: Community Benefit spending by not-for-profit hospitals has served as a critical, formalized part of the nation's safety net for almost 50 years. This has occurred mostly through charity care. This article examines how not-for-profit hospitals spent Community Benefit dollars prior to full implementation of the Affordable Care Act (ACA). METHODS: Using data from 2009 to 2012 hospital tax and other governmental filings, we constructed national, hospital-referral-region, and facility-level estimates of Community Benefit spending. Data were collected in 2015 and analyzed in 2015 and 2016. Data were matched at the facility level for a non-profit hospital's IRS tax filings (Form 990, Schedule H) and CMS Hospital Cost Report Information System and Provider of Service data sets. RESULTS: During 2009, hospitals spent about 8% of total operating expenses on Community Benefit. This increased to between 8.3% and 8.5% in 2012. The majority of spending (>80%) went toward charity care, unreimbursed Medicaid, and subsidized health services, with approximately 6% going toward both community health improvement and health professionals' education. By 2012, national spending on Community Benefit likely exceeded $60 billion. The largest hospital systems spent the vast majority of the nation's Community Benefit; the top 25% of systems spent more than 80 cents of every Community Benefit dollar. DISCUSSION: Community Benefit spending has remained relatively steady as a proportion of total operating expenses and so has increased over time-although charity care remains the major focus of Community Benefit spending overall. IMPLICATIONS: More than $60 billion was spent on Community Benefit prior to implementation of the ACA. New reporting and spending requirements from the IRS, alongside changes by the ACA, are changing incentives for hospitals in how they spend Community Benefit dollars. In the short term, and especially the long term, hospital systems would do well to partner with public health, other social services, and even competing hospitals to invest in population-based activities. The mandated community health needs assessment process is a logical home for these sorts of collaborations. Relatively modest investments can improve the baseline level of health in their communities and make it easier to improve population health. Aside from a population health justification for a partnership model, a business case is necessary for widespread adoption of this approach. Because of their authorities, responsibilities, and centuries of expertise in community health, public health agencies are in a position to help hospitals form concrete, sustainable collaborations for the improvement of population health. CONCLUSION: The ACA will likely change the delivery of uncompensated and charity care in the United States in the years to come. How hospitals choose to spend those dollars may be influenced greatly by the financial and political environments, as well as the strength of community partnerships.