Mortality, Health Care Use, and Costs of Clostridioides difficile Infections in Older Adults.

OBJECTIVES: Estimate mortality, cost, and health care resource utilization for Medicare beneficiaries aged ≥65 years who suffered a primary Clostridioides difficile infection (CDI) episode only or any recurrent CDI, and understand how outcomes covary with death. DESIGN: Retrospective observational claims analysis. SETTING AND PARTICIPANTS: Patients aged ≥65 years who had an inpatient or outpatient CDI diagnosis claim to Medicare and continuous enrollment in Medicare parts A, B, and D during the 12-month pre- and post-index periods. METHODS: Using 100% Medicare Fee-for-Service claims data for 2009-2017, primary (pCDI, n = 345,893) and recurrent (rCDI: n = 151,596) CDI episodes were identified. Demographic and clinical characteristics, mortality, health care resource utilization, and costs (per patient per month) were summarized for 12 months before and up to 12 months after episode start. Regression models were estimated for hospitalization risk, hospital length of stay (LOS), and cost to adjust for comorbidities. RESULTS: CDI-associated deaths were almost 10 times higher after recurrent CDI (25.4%) than primary CDI (2.7%). Compared with survivors, decedents were older, had higher Charlson Comorbidity Index scores, and were more likely Black. Adjusting for comorbidities, during follow-up, decedents had higher hospitalization rates [pCDI: odds ratio (OR) = 1.83, P < .001; rCDI: OR = 2.58, P < .001], and recurrent CDI decedents had more intensive care unit use (OR = 2.34, P < .001) compared with survivors. Decedents also had a longer length of stay (pCDI: +3.2 days, P < .001; rCDI: +2.6 days, P < .001), and higher total cost (pCDI: +303%, P < .001; rCDI: +297%, P < .001). CONCLUSIONS AND IMPLICATIONS: CDI is an important contributing diagnosis to all-cause mortality, particularly for recurrences. Prior to death, older Medicare beneficiaries who experienced CDI received longer, more intensive, and more costly care compared with survivors. Clinicians should be particularly attentive to prevention, identification, and appropriate treatment of CDI in older adults. Better treatments to reduce primary C difficile infection and recurrences in this vulnerable population can lower both mortality and economic burden.

Impact of Pharmacist Immunization Authority on Seasonal Influenza Immunization Rates Across States.

PURPOSE: The goal of this study was to investigate the impact on immunization rates of policy changes that allowed pharmacists to administer influenza immunizations across the United States. METHODS: Influenza immunization rates across states were compared before and after policy changes permitting pharmacists to administer influenza immunizations. The study used Behavioral Risk Factor Surveillance System (BRFSS) survey data on influenza immunization rates between 2003 and 2013. Logistic regression models were constructed and incorporated adjustments for the complex sample design of the BRFSS to predict the likelihood of a person receiving an influenza immunization based on various patient health, demographic, and access to care factors. FINDINGS: Overall, as states moved to allow pharmacists to administer influenza immunizations, the odds that an adult resident received an influenza immunization rose, with the effect increasing over time. The average percentage of people receiving influenza immunizations in states was 35.1%, rising from 32.2% in 2003 to 40.3% in 2013. The policy changes were associated with a long-term increase of 2.2% to 7.6% in the number of adults aged 25 to 59 years receiving an influenza immunization (largest for those aged 35-39 years) and no significant change for those younger or older. IMPLICATIONS: These findings suggest that pharmacies and other nontraditional settings may offer accessible venues for patients when implementing other public health initiatives.

Mortality, Hospital Costs, Payments, and Readmissions Associated With Clostridium difficile Infection Among Medicare Beneficiaries.

BACKGROUND: The management of Clostridium difficile infection (CDI) among hospitalized patients is costly, and ongoing payment reform is compelling hospitals to reduce its burden. To assess the impact of CDI on mortality, hospital costs, healthcare use, and Medicare payments for beneficiaries who were discharged with CDI listed as a secondary International Classification of Diseases, Ninth Revision, Clinical Modification claim diagnosis. METHODS: Data were analyzed from the 2009 to 2010 5% random sample Medicare Standard Analytic Files of beneficiary claims. Patients with index hospitalizations with CDI as a secondary diagnosis and no previous hospitalization within 30 days were identified. Outcomes included inpatient and 30-day mortality, inpatient costs, index hospital payments, all-provider payments, net hospital losses, payment to cost ratio, length of stay (LOS), and 30-day readmission; outcomes were each risk adjusted using propensity score matching and regression modeling techniques. RESULTS: A total of 3262 patients with CDI were identified after matching to patients without a CDI diagnosis. After risk adjustment, secondary CDI was associated with statistically significantly (all P < 0.05) greater inpatient mortality (3.1% vs. 1.7%), 30-day mortality (4.1% vs. 2.2%), longer LOS (7.0 days vs. 3.8 days), higher rates of 30-day hospital readmissions (14.8% vs. 10.4%), and greater hospital costs ($16,184 vs. $13,954) compared with the non-CDI cohort. The risk-adjusted payment-to-cost ratio was shown to be lower for patients with CDI than those without (0.76 vs. 0.85). CONCLUSIONS: Secondary CDI is associated with greater adjusted mortality, costs, LOS, and hospital readmissions, while receiving similar hospital reimbursement compared with patients without CDI in a Medicare population.

Infectious diseases specialty intervention is associated with decreased mortality and lower healthcare costs.

BACKGROUND: Previous studies, largely based on chart reviews with small sample sizes, have demonstrated that infectious diseases (ID) specialists positively impact patient outcomes. We investigated how ID specialists impact mortality, utilization, and costs using a large claims dataset. METHODS: We used administrative fee-for-service Medicare claims to identify beneficiaries hospitalized from 2008 to 2009 with at least 1 of 11 infections. There were 101 991 stays with and 170 336 stays without ID interventions. Cohorts were propensity score matched for patient demographics, comorbidities, and hospital characteristics. Regression models compared ID versus non-ID intervention and early versus late ID intervention. Risk-adjusted outcomes included hospital and intensive care unit (ICU) length of stay (LOS), mortality, readmissions, hospital charges, and Medicare payments. RESULTS: The ID intervention cohort demonstrated significantly lower mortality (odds ratio [OR], 0.87; 95% confidence interval [CI], .83 to .91) and readmissions (OR, 0.96; 95% CI, .93 to .99) than the non-ID intervention cohort. Medicare charges and payments were not significantly different; the ID intervention cohort ICU LOS was 3.7% shorter (95% CI, -5.5% to -1.9%). Patients receiving ID intervention within 2 days of admission had significantly lower 30-day mortality and readmission, hospital and ICU length of stay, and Medicare charges and payments compared with patients receiving later ID interventions. CONCLUSIONS: ID interventions are associated with improved patient outcomes. Early ID interventions are also associated with reduced costs for Medicare beneficiaries with select infections.

Alternative comorbidity adjustors for the Medicare inpatient psychiatric facility PPS.

The inpatient psychiatric facility prospective payment system (IPF-PPS), provides per diem payments for psychiatric hospitals and units, including 17 comorbid condition payment adjustors that cover 11 percent of patients. This study identifies an alternative set of 16 adjustors identifying three times as many high-cost patients and evaluates the improved predictive power in log per diem cost regression models. A model using the IPF-PPS adjustors achieved 8.8 percent of the feasible improvement from a no-adjustor baseline, while the alternative adjustors achieved 22.1 percent of the feasible improvement. The current adjustors may therefore be too restrictive, resulting in systematic over- or underpayment for many patients.

Financial gains and risks in pay-for-performance bonus algorithms.

Considerable attention has been given to evidence-based process indicators associated with quality of care, while much less attention has been given to the structure and key parameters of the various pay-for-performance (P4P) bonus and penalty arrangements using such measures. In this article we develop a general model of quality payment arrangements and discuss the advantages and disadvantages of the key parameters. We then conduct simulation analyses of four general P4P payment algorithms by varying seven parameters, including indicator weights, indicator intercorrelation, degree of uncertainty regarding intervention effectiveness, and initial baseline rates. Bonuses averaged over several indicators appear insensitive to weighting, correlation, and the number of indicators. The bonuses are sensitive to disease manager perceptions of intervention effectiveness, facing challenging targets, and the use of actual-to-target quality levels versus rates of improvement over baseline.

Patient casemix classification for medicare psychiatric prospective payment.

OBJECTIVE: For a proposed Medicare prospective payment system for inpatient psychiatric facility treatment, the authors developed a casemix classification to capture differences in patients' real daily resource use. METHOD: Primary data on patient characteristics and daily time spent in various activities were collected in a survey of 696 patients from 40 inpatient psychiatric facilities. Survey data were combined with Medicare claims data to estimate intensity-adjusted daily cost. Classification and Regression Trees (CART) analysis of average daily routine and ancillary costs yielded several hierarchical classification groupings. Regression analysis was used to control for facility and day-of-stay effects in order to compare hierarchical models with models based on the recently proposed payment system of the Centers for Medicare & Medicaid Services. RESULTS: CART analysis identified a small set of patient characteristics strongly associated with higher daily costs, including age, psychiatric diagnosis, deficits in daily living activities, and detox or ECT use. A parsimonious, 16-group, fully interactive model that used five major DSM-IV categories and stratified by age, illness severity, deficits in daily living activities, dangerousness, and use of ECT explained 40% (out of a possible 76%) of daily cost variation not attributable to idiosyncratic daily changes within patients. A noninteractive model based on diagnosis-related groups, age, and medical comorbidity had explanatory power of only 32%. CONCLUSIONS: A regression model with 16 casemix groups restricted to using "appropriate" payment variables (i.e., those with clinical face validity and low administrative burden that are easily validated and provide proper care incentives) produced more efficient and equitable payments than did a noninteractive system based on diagnosis-related groups.

BBA impacts on hospital residents, finances, and Medicare subsidies.

Concern over rapidly rising Medicare expenditures prompted Congress to pass the 1997 Balanced Budget Act (BBA) that included provisions reducing graduate medical education (GME) payments and capped the growth in residents for payment purposes. Using Medicare cost reports through 2001, we find that both actual and capped residents continued to grow post-BBA. While teaching hospital total margins declined, GME payment reductions of approximately 17 percent had minimal impact on revenue growth (-0.5 percent annually). Four years after BBA, residents remained a substantial line of business for nearly one-half of teaching hospitals with Medicare effective marginal subsidies exceeding resident stipends by nearly $50,000 on average. Coupled with an estimated replacement cost of over $100,000 per resident, it is not surprising that hospitals accepted nearly 4,000 residents beyond their allowable payment caps in just 4 years post-BBA.

Variation in patient routine costliness in U.S. psychiatric facilities.

BACKGROUND: The Balanced Budget Refinement Act of 1999 included a Congressional mandate to develop a patient-level case mix prospective payment system (PPS) for all Medicare beneficiaries treated in PPS-exempt psychiatric facilities. Payment levels by case mix category have been proposed by the government based on claims and facility cost reports. Because of claims data limitations, these levels do not account for patient-specific staffing costs within a facility's routine units, nor are certain key patient characteristics considered for higher payment. AIMS OF THE STUDY: This study uses novel primary data to quantify heretofore unmeasured differences in daily staffing intensity on routine units among Medicare patients. The data are used to test for compression (or narrowing) in case mix payment weights that would result from using only Medicare claims and facility cost reports to quantify daily routine costliness. METHODS: Primary data on patient and staff times in over 20 activities were collected from 40 psychiatric facilities and 66 psychiatric units, nation-wide. Patient times were reported on all inpatients on each shift over a 7-day study period. A resource intensity measure (in Registered Nurse (RN)-equivalent minutes) was constructed on a daily basis for 4,149 Medicare and 4,667 non-Medicare patient days. The routine measure is converted into daily cost using cost report per diems and ancillary costs added using submitted claims. Descriptive tables isolate key cost drivers for Medicare patients. Classification and Regression Trees (CART) clustering identifies 16 potential case mix groups. Multivariate regression is used to compare case mix, day-of-stay, and facility effects using 4 alternative measures of daily routine and ancillary costs. RESULTS: Patient daily routine intensity of care is found to vary by a factor of 3 or more between the top and bottom 10% of days. Medicare patient days were 12.5% more staff intensive than non-Medicare days, which may have been due to age and other differences. Older dementia and "residual diagnosis" patients are more intensive while schizophrenia and substance-related patients are less intensive. Age, psychiatric and medical severity, deficits in Activities in Daily Living (ADLs), dangerous behaviors, and electroconvulsive therapy (ECT) also contribute substantially to higher staffing intensity. Other patient characteristics were insignificant within broad diagnostic groups. Routine costs based on a single facility per diem produced narrower case mix cost differences--often by a factor of 2 or more--for 10 of 12 groups with significantly higher costs. Adding patient-specific ancillary to uniform per diem costs only marginally decompressed costs. Day of-stay costs were similarly compressed when using only cost reports. DISCUSSION: Claims-based costing using Medicare cost reports unduly compresses (narrows) estimates of inter-group case mix cost differences. Also, by not capturing ADL deficits and dangerous behaviors, administrative data sets fail to identify small, but very resource intensive, patient groups. ECT treatment regimens, although rare, significantly increase costs on a daily basis. IMPLICATIONS FOR HEALTH POLICIES: Medicare's recently proposed prospective payment system for psychiatric inpatients uses claims-based costing methods based on widely available administrative data. Consequently, fewer high cost groups are identified due to non-reported patient characteristics such as ADL deficits. Moreover, inter-group relative cost differences are likely understated. It is also possible that any standardized dollar amount applied to group relative weights is understated because Medicare patients appear more intensive per day on routine units. IMPLICATIONS FOR FUTURE RESEARCH: Larger primary samples of special psychiatric units (e.g., med-psych, child/adolescent) could improve estimates of daily routine costliness. Larger samples could also support stronger tests of case mix and cost differences by facility type and teaching status. Medical records information on non-Medicare patients could quantify any systematic differences in average daily costs holding case mix constant. Similar primary studies of psychiatric patients treated outside PPS-exempt units in acute general hospitals could result in a fully integrated payment system for all mentally ill Medicare patients, thereby avoiding payment inefficiencies and inequities.