Unintended impacts of a national antipsychotic reduction initiative among nursing facility residents with and without Alzheimer's disease.

BACKGROUND: In July 2012, the Centers for Medicare & Medicaid services launched an antipsychotic reduction initiative (ARI) to improve care for nursing facility residents with Alzheimer's disease and related dementias (ADRD). We examined the impact of this policy on antipsychotic and psychotropic medication (PM) utilization and diagnosis patterns in long-stay nursing facility residents with ADRD and other conditions in which antipsychotics are indicated. METHODS: Using an 80% sample of fee-for-service Medicare beneficiaries with Part D, we conducted a retrospective cohort study of nursing facility residents with ADRD, bipolar disorder, psychosis, Parkinson's disease, and residents exempt from the policy due to diagnoses of schizophrenia, Tourette syndrome, and/or Huntington's disease. We used interrupted time-series analyses to compare changes in diagnoses, antipsychotic use, and PM utilization before (January 1, 2011-June 30, 2012) and after (July 1, 2012-September 30, 2015) ARI implementation. RESULTS: We identified 874,487 long-stay nursing facility residents with a diagnosis of ADRD (n = 358,518), exempt (n = 92,859), bipolar (n = 128,298), psychosis (n = 93,402), and Parkinson's disease (n = 80,211). In all cohorts, antipsychotic use declined prior to the ARI; upon policy implementation, antipsychotic use reductions were sustained throughout the study period, including statistically significant ARI-associated accelerated declines in all cohorts. PM changes varied by cohort, with ARI-associated increases in non-benzodiazepine sedatives and/or muscle relaxants noted in ADRD, psychosis, and Parkinson's cohorts. Although anticonvulsant use increased throughout the study period in all groups, with the exception of the bipolar cohort, these increases were not associated with ARI implementation. Findings are minimally explained by increased post-ARI membership in the psychosis and Parkinson's cohorts. CONCLUSIONS: Our study documents antipsychotic use significantly declined in non-ADRD clinical and exempt cohorts, where such reductions may not be clinically warranted. Furthermore, ARI-associated compensatory increases in PMs do not offset these reductions. Changes in PM utilization and diagnostic make-up of residents using PMs require further investigation to assess the potential for adverse clinical and economic outcomes.

CMS Strategies To Reduce Antipsychotic Drug Use In Nursing Home Patients With Dementia Show Some Progress.

The Centers for Medicare and Medicaid Services initiated three strategies (in March and July 2012 and in May 2013) to reduce the use of unnecessary antipsychotic medications in nursing homes, especially their widespread use to control behavioral symptoms of dementia. We examined 86,163 state recertification surveys conducted at 15,055 facilities in the period January 1, 2009-March 31, 2015. We found that these strategies were associated with increases in citations for only one of two targeted deficiencies (unnecessary drug use) and only after the third strategy (revisions to the federal guidelines for the citations) was implemented. Each strategy was associated with a modest but significant reduction in antipsychotic prevalence in the general nursing home population. Initial reductions were greater in the ten states with the highest prevalence of antipsychotic use in nursing homes, compared to the ten states with the lowest prevalence. Use of other psychoactive medications, some of which are potential substitutes for antipsychotics, varied with each strategy and by state. Continuous monitoring and consistent enforcement are needed to ensure the continued decline in unnecessary use of antipsychotics and psychoactive medications in nursing homes.

Mortality Risk of Antipsychotic Dose and Duration in Nursing Home Residents with Chronic or Acute Indications.

OBJECTIVES: To examine disease-specific associations between antipsychotic dose and duration and all-cause mortality. DESIGN: Retrospective cohort study. SETTING: A 5% random sample of Medicare beneficiaries who had a Minimum Data Set 2.0 clinical assessment completed between 2007 and 2009. PARTICIPANTS: Three mutually exclusive cohorts of new antipsychotic users with evidence of severe mental illness (SMI, n = 5,621); dementia with behavioral symptoms (dementia + behavior) without SMI (n = 1,090); or delirium only without SMI or dementia + behavior (n = 2,100) were identified. MEASUREMENTS: Dose and duration of therapy with antipsychotics were assessed monthly with a 6-month look-back. Dose was measured as modified standardized daily dose (mSDD), with a mSDD of 1 or less considered below or at recommended maximum geriatric dose. Duration was categorized as 30 or fewer, 31 to 60, 61 to 90, and 91 to 184 days for SMI and dementia + behavior and 7 or fewer, 8 to 30, 31 to 90, and 91 to 184 days for delirium. Complementary log-log models with mSDD and duration as time-dependent variables were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. RESULTS: In all three groups, new antipsychotic users with a mSDD of 1 or less had significantly lower mortality risk (HRSMI  = 0.77, 95% CI = 0.67-0.88; HRdementia+behavior  = 0.52, 95% CI = 0.36-0.76; HRdelirium  = 0.61, 95% CI = 0.44-0.85) than peers with a mSDD greater than 1. Individuals with longer duration of antipsychotic use (91-184 days for SMI and delirium) had significantly lower mortality than those with a short duration of use (≤30 days for SMI; ≤7 days for delirium). The interaction between dose and duration was statistically significant in the SMI cohort (P < .001). CONCLUSION: Lower mortality was observed with within-recommended dose ranges for dementia + behavior, SMI, and delirium and with long duration of antipsychotic use for the latter two disease groups. Prescribers should monitor antipsychotic dosage throughout the course of antipsychotic treatment and customize dose and duration regimens to an individual's indications.

Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data.

BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We linked 2006-2009 MDS assessments to Medicare Part A skilled nursing facility (SNF) data. This algorithm determined the daily NH stay evidence by MDS and SNF dates. NH length-of-stay and characteristics were reported in the total, long-stay, and short-stay residents. Long-stay residents identified by the algorithm were compared with the NH evidence from MDS-alone and Medicare parts A and B data. RESULTS: Of 276,844 residents identified by our algorithm, 40.8% were long stay. Long-stay versus short-stay residents tended to be older, male, white, unmarried, low-income subsidy recipients, have multiple comorbidities, and have higher mortality but have fewer hospitalizations and SNF services. Higher proportions of long-stay and short-stay residents identified by the MDS/SNF algorithm were classified in the same group using MDS-only (98.9% and 100%, respectively), compared with the parts A and B data (95.0% and 67.1%, respectively). NH length-of-stay was similar between MDS/SNF and MDS-only long-stay residents (mean±SD: 717±422 vs. 720±441 d), but the lengths were longer compared with the parts A and B data (approximately 474±393 d). CONCLUSIONS: Our MDS/SNF algorithm allows the differentiation of long-stay and short-stay residents, resulting in an NH group more precise than using Medicare claims data only.

Treated Behavioral Symptoms and Mortality in Medicare Beneficiaries in Nursing Homes with Alzheimer's Disease and Related Dementias.

OBJECTIVES: To assess changes in behavioral symptoms associated with Alzheimer's disease and related dementias (ADRDs) after antipsychotic (AP) or antidepressant (AD) treatment and to estimate the effect of treatment response on mortality risk. DESIGN: Retrospective cohort study using 2006-2009 Medicare administrative and prescription drug claims data linked to Minimum Data Set 2.0. SETTING: Long-stay (≥101 days) nursing home residents. PARTICIPANTS: Continuously enrolled fee-for-service Medicare beneficiaries who had ADRDs, initiated (no use in prior 6 months) AP (n = 2,035) or AD (n = 1,661) treatment during or after one or more behavioral symptoms (verbally abusive, physically abusive, socially inappropriate or disruptive behavior) presented, and had reassessment of behavioral symptoms after 3 consecutive months of the initiated treatment. MEASUREMENTS: Behavioral symptom change was measured according to score (range 0-9, based on number and frequency of symptoms) change between baseline and reassessment (improved, <0; unchanged, 0; worsened, >0). Survival analyses were conducted on time to death after reassessment, comparing residents whose symptoms improved with those whose symptoms remained unchanged or worsened. RESULTS: APs and ADs were comparable in treatment effectiveness, as evidenced by more than 85% of the behavioral symptom episodes in each cohort improving or remaining stable. Mortality risk was lower in both cohorts (AP: adjusted hazard ratio (aHRAP ) = 0.93, 95% confidence interval (CI) = 0.81-1.07; AD: aHRAD = 0.82, 95% CI = 0.70-0.97) for residents whose symptoms improved than for those whose symptoms unchanged or worsened. CONCLUSION: ADs may be reasonable pharmacological alternatives to APs in clinical management of ADRD-related behavioral symptoms. Initial treatment response may alter medication-associated mortality risk. Further study is needed to confirm findings using other data and behavioral symptom-specific instruments.

Quality of psychopharmacological medication prescribing and mortality in Medicare beneficiaries in nursing homes.

OBJECTIVES: To examine the influence of quality measures of psychopharmacological medication (PPM) prescribing on all-cause mortality in a Medicare long-stay nursing home (NH) population. DESIGN: Longitudinal. SETTING: 2007-09 Medicare data linked to Minimum Data Set 2.0 files. PARTICIPANTS: Four new-user cohorts of residents initiating antipsychotic (n=13,105), antidepressant (n=14,251), anxiolytic and sedative-hypnotic (n=10,789), and any PPM (n=14,568) medication. MEASUREMENTS: Three measures of PPM prescribing quality were assessed monthly with a 6-month look-back: evidence of appropriate indication, dose (modified standardized daily dose (mSDD); below (<1), at (1), and above (>1) recommended geriatric dose), and duration of therapy (DOT; ≤30, 31-60, 61-90, 91-180 days from medication initiation). Complementary log-log models with quality measures as time-dependent variables were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. RESULTS: Appropriate use of antidepressants, anxiolytics and sedative-hypnotics, and any PPMs, as evidenced by appropriate indications, was significantly associated with lower mortality risk (HRantidepressants=0.81, 95% CI=0.76-0.86; HRanxiolytics and sedative-hypnotics=0.81, 0.75-0.88; HRPPM=0.89, 0.83-0.95). Antipsychotic and anxiolytic and sedative-hypnotic users with a mSDD of less than 1 had lower mortality risk than those with a mSDD greater than 1, whereas a protective effect was observed in antidepressant users with a mSDD greater than 1. In all four cohorts, those with a DOT of 91 to 180 days had lower mortality than those with a DOT of 1 month or less; the lower risk of mortality was detected after antipsychotic use for 31 days or longer. CONCLUSION: Optimal PPM prescribing quality, as measured by indication and duration, is associated with low mortality. The benefit related to drug dosage varied by therapeutic class. When prescribing PPMs to NH residents, providers should consider not only drug choice, but also dose and duration of prescribed regimens.

Quality of psychopharmacological medication use in nursing home residents.

BACKGROUND: Despite well-documented evidence regarding antipsychotic use in older adults residing in nursing homes (NHs), there is a lack of evidence-based use and quality benchmarks for other psychopharmacological medications (PPMs), including antidepressants, anxiolytics, and sedative-hypnotics. OBJECTIVE: To estimate the prevalence and patterns of use of PPMs and to measure the quality of PPM use. METHODS: Using a 5% random sample of 2007 Medicare claims data linked to the Minimum Data Set 2.0, this cross-sectional study identified a nationally representative sample of 69,832 NH residents with ≥3 months of institutionalization. This study measured 1-year prevalence and quality of PPM use, as assessed by indication, dose, and duration of use defined and operationalized according to the current Centers for Medicare and Medicaid Services Unnecessary Medication Guidance for Surveyors and relevant practice guidelines. RESULTS: Over two-thirds of residents (72.1%, n=50,349) used ≥1 PPM in 2007, with the highest prevalence seen in antidepressants (59.4%), and the lowest in anxiolytics (8.9%). Almost two-thirds (61.0%) of PPM users used ≥2 PPM classes. Compared to other PPM therapeutic classes, antipsychotic users had greatest evidence of guideline adequate use by indication (95.8%) and dose (78.7%). In addition, longer duration of adequate treatment was observed among antipsychotic users (mean = 208 days, standard deviation [SD] = 118) as compared to anxiolytic (mean = 159 days, SD = 118) and sedative-hypnotic users (mean = 183 days, SD = 117). CONCLUSIONS: This study found that PPM use remains highly prevalent among long-stay Medicare NH residents. While antipsychotic use remained high (31.5%), little antipsychotic use was deemed inadequate by indication. However, the 1-year prevalence of use, dose, and duration of use of other PPMs remain high and potentially inadequate. Practitioners and policy-makers should heed both the high use and lower prescribing quality of antidepressants, anxiolytics, and sedative-hypnotics in NH residents.

Comparative safety of antipsychotic medications in nursing home residents.

OBJECTIVES: To compare the risk of major medical events in nursing home residents newly initiated on conventional or atypical antipsychotic medications (APMs). DESIGN: Cohort study, using linked Medicaid, Medicare, Minimum Data Set, and Online Survey Certification and Reporting data. Propensity score-adjusted proportional hazards models were used to compare risks for medical events at a class and individual drug level. SETTING: Nursing homes in 45 U.S. states. PARTICIPANTS: Eighty-three thousand nine hundred fifty-nine Medicaid-eligible residents aged 65 and older who initiated APM treatment after nursing home admission in 2001 to 2005. MEASUREMENTS: Hospitalization for myocardial infarction, cerebrovascular events, serious bacterial infections, and hip fracture within 180 days of treatment initiation. RESULTS: Risks of bacterial infections (hazard ratio (HR) = 1.25, 95% confidence interval (CI) = 1.05-1.49) and possibly myocardial infarction (HR = 1.23, 95% CI = 0.81-1.86) and hip fracture (HR = 1.29, 95% CI = 0.95-1.76) were higher, and risks of cerebrovascular events (HR = 0.82, 95% CI = 0.65-1.02) were lower in participants initiating conventional APMs than in those initiating atypical APMs. Little variation existed between individual atypical APMs, except for a somewhat lower risk of cerebrovascular events with olanzapine (HR = 0.91, 95% CI = 0.81-1.02) and quetiapine (HR = 0.89, 95% CI = 0.79-1.02) and a lower risk of bacterial infections (HR = 0.83, 95% CI = 0.73-0.94) and possibly a higher risk of hip fracture (HR = 1.17, 95% CI = 0.96-1.43) with quetiapine than with risperidone. Dose-response relationships were observed for all events (HR = 1.12, 95% CI = 1.05-1.19 for high vs low dose for all events combined). CONCLUSION: These associations underscore the importance of carefully selecting the specific APM and dose and monitoring their safety, especially in nursing home residents who have an array of medical illnesses and are undergoing complex medication regimens.

Race, education, and the treatment of depression in nursing homes.

OBJECTIVES: We investigate, among older adult nursing home residents diagnosed with depression, whether depression treatment differs by race and schooling, and whether differences by schooling differ by race. We examine whether Blacks and less educated residents are placed in facilities providing less treatment, and whether differences reflect disparities in care. METHOD: Data from the 2006 Nursing Home Minimum Data Set for 8 states (n = 124,431), are merged with facility information from the Online Survey Certification and Reporting system. Logistic regressions examine whether resident and/or facility characteristics explain treatment differences; treatment includes antidepressants and/or psychotherapy. RESULTS: Blacks receive less treatment (adj. OR = .79); differences by education are small. Facilities with more Medicaid enrollees, fewer high school graduates, or more Blacks provide less treatment. DISCUSSION: We found disparities at the resident and facility level. Facilities serving a low-SES (socioeconomic status), minority clientele tend to provide less depression care, but Blacks also receive less depression treatment than Whites within nursing homes (NHs).

Response to regulatory stringency: the case of antipsychotic medication use in nursing homes.

This paper studies the impact of regulatory stringency, as measured by the statewide deficiency citation rate over the past year, on the quality of care provided in a national sample of nursing homes from 2000 to 2005. The quality measure used is the proportion of residents who are using antipsychotic medication. Although the changing case-mix of nursing home residents accounts for some of the increase in the use of antipsychotics, we find that the use of antipsychotics by nursing homes is responsive to state regulatory enforcement in a manner consistent with the multitasking incentive problem. Specifically, the effect of the regulations is dependent on the degree of complementarity between the regulatory deficiency and the use of antipsychotics.

Medicare inpatient treatment for elderly non-dementia psychiatric illnesses 1992--2002; length of stay and expenditures by facility type.

We summarize Medicare utilization and payment for inpatient treatment of non-dementia psychiatric illnesses (NDPI) among the elderly during 1992 and 2002. From 1992 to 2002, overall mean Medicare expenditures per elderly NDPI inpatient stay declined by $2,254 (in 2002 dollars) and covered days by 2.8. However, these changes are complicated by expanded use of skilled nursing facilities and hospital psychiatric units, and decreased use of long-stay hospitals and general hospital beds. This suggests that inpatient treatment for NDPI is shifting into less expensive settings which may reflect cost-cutting strategies, preferences for less restrictive settings, and outpatient treatment advances.

Prevalence and treatment of diagnosed depression among elderly nursing home residents in Ohio.

OBJECTIVES: To examine the prevalence and treatment of diagnosed depression among elderly nursing home residents and determine the resident and facility characteristics associated with diagnosis and treatment. DESIGN, SETTING, AND PARTICIPANTS: Documented depression, pharmacotherapy, psychotherapy, sociodemographics, and medical characteristics were obtained from Ohio's Minimum Data Set for 76 735 residents in 921 nursing homes. The data were merged with Online Survey Certification and Reporting System data to study the impact of facility characteristics. Chi-squared statistics were used to test group differences in depression diagnosis and treatment. Multiple logistic regressions were used to examine the prevalence of diagnosed depression, and among those diagnosed, of receiving any treatment. RESULTS: There were 48% of residents who had an active depression diagnosis; among those diagnosed, 23% received no treatment; 74% received antidepressants; 0.5% received psychotherapy; and 2% received both. African Americans, the severely cognitively impaired, and those in government facilities were less likely to be diagnosed. Residents aged 85 and older, African Americans, individuals with severe mental illness, those with severe ADL or cognitive impairment, and individuals living in a facility with 4 or more deficiencies were less likely to receive treatment. CONCLUSION: Significant disparities exist both in diagnosis and treatment of depression among elderly residents. Disadvantaged groups such as African Americans and residents with physical and cognitive impairments are less likely to be diagnosed and treated. Our results indicate that work needs to be done in the nursing home environment to improve the quality of depression care for all residents.

Creating needs-based tiered models for assisted living reimbursement.

PURPOSE: This research provides state policy makers and others interested in developing needs-based reimbursement models for Medicaid-funded assisted living with an evaluation of different methodologies that affect the structure and outcomes of these models. DESIGN AND METHODS: We used assessment data from Medicaid-enrolled assisted living residents and waiver-eligible community-dwelling individuals (N = 726) in order to evaluate five methodologies in the design of these tiered needs-based models. We used ordinary least squares regression analyses in order to evaluate each model's ability to predict the time needed to care for individuals with varying needs (e.g., activities of daily living limitations, dementia, special services.) RESULTS: These models varied in fit from .127 to a high of .357 using the adjusted R2 statistic. Both count and weighted models adequately predicted service needs and discriminated individuals into their appropriate tiers well. Weighted models with the largest score range worked best and provided more flexibility. IMPLICATIONS: Policy makers can tailor the generic tiered models developed with these methods to a state's population. Any state considering adoption of a needs-based tiered model will need to refine its model based on its assisted living population characteristics, its resources, and how the model fits its long-term care system. For the industry, these models can serve to identify levels of care needed in planning for staff time and skill mix required for assisted living as well as other long-term care populations.