Comparing the Centers for Medicare and Medicaid Services (CMS) enrollment data death dates to the National Death Index (NDI).

PURPOSE: In the United States, the National Death Index (NDI) is the most complete source of death information, while epidemiologic studies with mortality outcomes often rely on U.S. Medicare data for outcome ascertainment. The purpose of this study was to assess the agreement of death information between the Centers for Medicare & Medicaid Services (CMS) Medicare enrolment data and NDI. METHODS: Using Medicare and NDI data from 1999 through 2016, we identified Medicare beneficiaries who were reported dead in the CMS Medicare enrolment database (EDB) and Common Medicare Environment (CME), linked these beneficiaries to the NDI using CMS Health Insurance Claim number, and compared death dates between the two data sources. To assess agreement between our data sources, we calculated kappa scores; where a kappa of 1 indicates perfect agreement and a kappa of 0 indicates agreement equivalent to chance. We also examined CMS to NDI linkage and death date matching for stability over time. RESULTS: Of the 36 785 640, Medicare beneficiaries reported dead in CMS enrollment data from 1999 to 2016, 97.5% were linked to the NDI. A kappa score of 0.98 showed a near perfect agreement between NDI and CMS reported deaths. The percentage of linked cases exactly matching on death dates increased from 94.8% in 1999 to 99.4% in 2016. CONCLUSIONS: Our findings suggest strong concordance between death dates as recorded by CMS enrollment data and the NDI in the entire Medicare population.

Risk of Severe COVID-19 in Prevalent Users of Alpha-1 Adrenergic Receptor Antagonists: A National Case-Control Study of Medicare Beneficiaries.

BACKGROUND: Alpha-1 adrenergic receptor antagonists prevent cytokine storm in mouse sepsis models. This led to the hypothesis that alpha-1 blockers may prevent severe coronavirus disease 2019 (COVID-19), which is characterized by hypercytokinemia and progressive respiratory failure. METHODS: We performed an observational case-control study in male Medicare beneficiaries aged 65 years or older, with or without benign prostatic hyperplasia (BPH), and treated with alpha-1 receptor blockers or 5-alpha reductase inhibitors. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated for outcomes of uncomplicated and severe COVID-19 hospitalization (intensive care unit admission, invasive mechanical ventilation, or death). RESULTS: There were 20,963 cases of hospitalized COVID-19 matched to 101,161 controls on calendar date and neighborhood of residence. In the primary analysis (males with BPH), there was no difference in risk of uncomplicated COVID-19 hospitalization (aOR 1.08, 95% CI 0.996-1.17) or hospitalization with severe complications (aOR 0.97, 95% CI 0.88-1.08). In the secondary analysis (males with or without BPH), the corresponding aORs were 1.02 (95% CI, 0.96-1.09) (uncomplicated) and 0.99 (95% CI, 0.91-1.07) (complicated), respectively. Subgroup and sensitivity analyses yielded similar results. Of note, there was no difference in risk of severe COVID-19 hospitalization when comparing non-selective vs selective alpha-1 blocker use (aOR 0.98, 95% CI 0.86-1.10), higher- vs lower-dose alpha-1 blocker use (aOR 0.96, 95% CI 0.86-1.08), or current vs remote alpha-1 blocker use (aOR 1.04, 95% CI 0.91-1.18). CONCLUSIONS: Prevalent use of alpha-1 receptor blockers was not associated with a protective or harmful effect on risk of uncomplicated or severe hospitalized COVID-19.

Continuity of Care and Mental Health Service Use Among Medicaid-enrolled Youths.

BACKGROUND: Recent reports of increased national estimates of pediatric psychiatric emergency department (ED) visits and psychiatric hospitalizations emphasize the need to research these utilization patterns. OBJECTIVES: To assess the patient-provider continuity of care (CoC) and compare the risk of psychiatric ED visits or hospitalization according to the CoC level. RESEARCH DESIGN: A cohort design was applied to Medicaid administrative claims data (2007-2014) for 3-16-year olds with a first psychiatric diagnosis between 2009 and 2013 (n=38,825). SUBJECTS: Continuously enrolled youths with (1) ≥1 outpatient psychiatric visits and (2) ≥4 pediatric outpatient visits in the prior 24 months. MEASURES: The authors assessed CoC in the 24 months before the first psychiatric outpatient visit and quantified CoC using the Alpha Index. The authors assessed patient-provider CoC before first psychiatric diagnosis and the odds of psychiatric ED visits or psychiatric hospitalizations in the year after diagnosis. RESULTS: Of the 38,825 youths, 88.9% received a first psychiatric diagnosis by age 14. The odds of ED visits were significantly higher among youths with low CoC [6.63%, adjusted odds ratio (AOR), 1.27; 95% confidence interval (CI), 1.13-1.41] or moderate CoC (5.76%; AOR, 1.14; 95% CI, 1.02-1.27) compared with those with high CoC (4.96%). Greater odds of psychiatric hospitalization related to low (7.53%; AOR, 1.17; 95% CI, 1.06-1.29) or moderate CoC (7.01%; AOR, 1.15; 95% CI, 1.03-1.27) compared with high CoC (6.06%). CONCLUSIONS: The odds of potentially disruptive clinical management and costly psychiatric ED visits or hospitalizations were lower for youths with high CoC. The findings support the need to research the impact of CoC on long-term pediatric mental health service use.

Patterns of Early Mental Health Diagnosis and Medication Treatment in a Medicaid-Insured Birth Cohort.

Importance: The increased use of psychiatric services in the US pediatric population raises concerns about the appropriate use of psychotropic medications for very young children. Objective: To assess the longitudinal patterns of psychotropic medication use in association with diagnosis and duration of use in a Medicaid-insured birth cohort. Design, Setting, and Participants: A cohort design was applied to computerized Medicaid administrative claims data for 35 244 children born in a mid-Atlantic state in 2007 and followed up for up to 96 months through December 31, 2014. Children were included in the birth cohort if they had an enrollment record at birth or within 3 months of birth and at least 6 months of continuous enrollment from birth. The cohort represents 92.2% of 38 225 Medicaid-insured newborns in 2007. Exposures: Mental health treatments from birth through age 7 years. Main Outcomes and Measures: Cumulative incidence of first psychiatric diagnosis and psychotropic medication use (monotherapy or concomitant use of psychotropic medications) from birth through age 7 years, total and by sex, and the cumulative incidence of the use of psychosocial services (age, 0-7 years) as well as the annual duration of medication use (ie, number of days of psychotropic medication use among children 3-7 years of age). Results: Of the 35 244 children in the cohort, 17 267 were girls and 17 977 were boys. By age 8 years, 4550 children in the birth cohort (19.7% [percentage adjusted for right censoring]) had received a psychiatric diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification codes 290-319); 2624 of these diagnoses (57.7%) were behavioral (codes 312, 313, or 314). Girls were more likely than boys to receive an incident psychiatric diagnosis of adjustment disorder (355 of 1598 [22.2%] vs 427 of 2952 [14.5%]; P < .001) or anxiety disorder (114 of 1598 [7.1%] vs 120 of 2952 [4.1%]; P < .001). By age 8 years, 2196 children in the cohort (10.2% [percentage adjusted for right censoring]) had received a psychotropic medication. Among medication users, 1763 of 2196 (80.5% [percentage adjusted for right censoring]) received monotherapy, 343 of 2196 (16.4% [percentage adjusted for right censoring]) received 2 medication classes concomitantly, and 90 of 2196 (4.3% [percentage adjusted for right censoring]) received 3 or more medication classes concomitantly for 60 days or more (range, 78-180 days). The annual median number of days of psychotropic medication use among medicated children increased with age, reaching 210 of 365 days for children 7 years of age. Among children 7 years of age, the median number of days of use of an antipsychotic (193 days [interquartile range, 60-266 days]), stimulant (183 days [interquartile range, 86-295 days]), or α-agonist (199 days [interquartile range, 85-305 days]) exceeded half of the year. Conclusions and Relevance: Medicaid-insured children received substantial mental health services and had prolonged exposure to psychotropic medications in the early years of life. These findings highlight the need for outcomes research in pediatric populations.

The Impact of a State Medicaid Peer-Review Authorization Program on Pediatric Use of Antipsychotic Medications.

OBJECTIVE: This cross-sectional study assessed the impact of a peer-review program on the prevalence of pediatric antipsychotic use among Medicaid-insured youths in a Mid-Atlantic state. METHODS: Medicaid claims (2010-2014) were assessed among continuously enrolled youths in the 12 months before and after implementation of peer review. The study identified children ages zero to four preimplementation (N=118,815) and postimplementation (N=121,431), ages five to nine preimplementation (N=98,681) and postimplementation (N=107,872), and ages 10 to 17 preimplementation (N=154,696) and postimplementation (N=161,370). (Age ranges are inclusive of the final number). In each age group, multivariable logistic regression models with generalized estimating equations assessed the change in annual prevalence of antipsychotic use pre- to postimplementation. Use of other leading psychotropic classes and antipsychotic prescribing by medical specialty were also examined. RESULTS: The annual pre- to postimplementation prevalence of antipsychotic use decreased significantly, from .07% to .03% (adjusted odds ratio [AOR]=.41) among children ages zero to four, from 1.57% to .86% (AOR=.54) among those ages five to nine, and from 3.28% to 2.40% (AOR=.72) among those ages 10 to 17. With the exception of alpha-agonist use, which increased postimplementation (AOR=1.30) among those ages zero to four, no clinically significant pre-post change was noted in other leading psychotropic classes among children ages zero to four and 10 to 17. By contrast, postimplementation use of other psychotropic medications decreased among those ages five to nine (AOR=.73). CONCLUSIONS: A state Medicaid peer-review program resulted in decreased antipsychotic use across all age groups, particularly among children younger than ten. No notable substitution of other psychotropic classes for antipsychotics was observed.

Hispanic Residential Isolation, ADHD Diagnosis and Stimulant Treatment among Medicaid-Insured Youth.

OBJECTIVE: This study aimed to evaluate a conceptual framework that assessed the effect of Hispanic residential isolation on Attention Deficit Hyperactivity Disorder (ADHD) health service utilization among 2.2 million publicly insured youth. DESIGN: Cross-sectional. SETTING: Medicaid administrative claims data for ambulatory care services from a US Pacific state linked with US census data. PARTICIPANTS: Youth, aged 2-17 years, continuously enrolled in 2009. MAIN OUTCOME MEASURES: The percent annual prevalence and odds of ADHD diagnosis and stimulant use according to two measures of racial/ethnic residential isolation: 1) the county-level Hispanic isolation index (HI) defined as the population density of Hispanic residents in relation to other racial/ethnic groups in a county (<.5; .5-.64; ≥.65); and 2) the proportion of Hispanic residents in a ZIP code tabulation area (<25%; 25%-50%; >50%). RESULTS: Among the 47,364 youth with a clinician-reported ADHD diagnosis, 60% received a stimulant treatment (N = 28,334). As the county level HI increased, Hispanic residents of ethnically isolated locales were significantly less likely to receive an ADHD diagnosis (adjusted odds ratio [AOR]=.92 [95% CI=.88-.96]) and stimulant use (AOR=.61 [95% CI=.59-.64]) compared with Hispanic youth in less isolated areas. At the ZIP code level, a similar pattern of reduced ADHD diagnosis (AOR=.81 [95% CI=.77-.86]) and reduced stimulant use (AOR=.65 [95% CI=.61-.69]) was observed as Hispanic residential isolation increased from the least isolated to the most isolated ZIP code areas. CONCLUSIONS: These findings highlight the opportunity for Big Data to advance mental health research on strategies to reduce racial/ethnic health disparities, particularly for poor and vulnerable youth. Further exploration of racial/ethnic residential isolation in other large data sources is needed to guide future policy development and to target culturally sensitive interventions.