Unreported Antipsychotic Use Increasing in Nursing Homes: The Impact of Quality-Measure Exclusions on the Percentage of Long-Stay Residents Who Got an Antipsychotic Medication Quality-Measure

Prescribing Trends and Associated Outcomes of Antiepileptic Drugs and Other Psychotropic Medications in US Nursing Homes: Proposal for a Mixed Methods Investigation

BACKGROUND

Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations.

OBJECTIVE

Using a mixed methods approach including both a retrospective secondary data analysis and a national clinician survey, this study aims to describe appropriate and potentially inappropriate antiepileptic and other psychoactive drug prescribing in US nursing homes (NHs), characteristics and patient-oriented outcomes associated with this prescribing, and how these phenomena may be changing under the combined stressors of the COVID-19 pandemic and the pressure of reduction initiatives.

METHODS

To accomplish the objective, resident-level, mixed-effects regression models and interrupted time-series analyses will draw on cohort elements linked at an individual level from the Centers for Medicare and Medicaid Services' (CMS) Minimum Data Set, Medicare Part D, Medicare Provider Analysis and Review, and Outpatient and Public Use Files. Quarterly cohorts of NH residents (2009-2021) will incorporate individual-level data, including demographics; health status; disease variables; psychotropic medication claims; comprehensive NH health outcomes; hospital and emergency department adverse events; and NH details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of NH prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes.

RESULTS

Funding was obtained in September 2022. Institutional review board exemption approval was obtained in January 2023. The CMS Data Use Agreement was submitted in May 2023 and signed in March 2024. Data access was obtained in June 2024. Cohort creation is anticipated by January 2025, with crosswalks finalized by July 2025. The first survey was fielded in October 2023 and published in July 2024. The second survey was fielded in March 2024. The results are in review as of July 2024. Iterative survey cycles will continue biannually until December 2026. Multidisciplinary dissemination of survey analysis results began in July 2023, and dissemination of secondary data findings is anticipated to begin January 2025. These processes are ongoing, with investigation to wrap up by June 2027.

CONCLUSIONS

This study will detail appropriate and inappropriate antiepileptic drug use and related outcomes in NHs and describe disparities in long-stay subpopulations treated or not treated with psychotropics. It will delineate the impact of the pandemic in combination with national policies on dementia management and outcomes. We believe this mixed methods approach, including processes that link multiple CMS data sets at an individual level and survey-relevant stakeholders, can be replicated and applied to evaluate a variety of patient-oriented questions in diverse clinical populations.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/64446.

Lessons learned from CMS's National Partnership to Improve Dementia Care: a thematic synthesis of multiple stakeholder-engaged studies

BACKGROUND

Antipsychotic prescribing in United States nursing homes (NHs) has decreased since the Center for Medicare & Medicaid Service debuted the National Partnership to Improve Dementia Care in Nursing Homes (NP); however, reductions have stalled. To help explain persistent antipsychotic use despite the NP's reduction efforts, the perspectives of diverse NP stakeholders were qualitatively assessed. This study aimed to re-evaluate these individual perspectives in combined thematic synthesis to discover NP improvement opportunities undetectable in single stakeholder assessments.

METHODS

Thematic synthesis. Through immersive crystallisation, original source coding results were organised into related descriptive themes. Similarities and differences were identified, and descriptive themes were regrouped into new, increasingly abstract, analytical themes. This cycle continued until variances were resolved and analytic themes sufficiently described and explained all initial descriptive themes.

RESULTS

Three analytic themes emerged regarding NP improvement opportunities. The NP's positive impacts would be augmented by: (i) a deeper and expanded appreciation of stakeholder perspectives; (ii) more urgent and rapid adaptation to unintended adverse outcomes; and (iii) greater recognition of the contextual and environmental factors influencing decisions to prescribe or not prescribe antipsychotic medications. Stakeholder groups described: perspectives they perceived as inadequately considered by the NP; insufficient NP engagement with the stakeholders capable of creating evidenced, affordable, and available non-pharmacologic therapies for dementia symptoms; recognition that dementia interventions effective for a specific individual at a specific time in a specific community may not generalise; and diverse ongoing undesirable outcomes from NP policies that could be mitigated by NP modifications.

CONCLUSIONS

The NP has done much to advance dementia care in NHs. Notwithstanding, these results suggest the NP would only be improved through increasingly comprehensive inclusion of stakeholder perspectives, enhanced incorporation of individual contextual factors, and a more decisive mechanism for ongoing and continual adaptation.

Geographic Variation of Antidementia and Antipsychotic Medication Use Among US Nursing Home Residents With Dementia

BACKGROUND

Several antidementia medications have been approved for symptomatic treatment of cognitive and functional impairment due to Alzheimer disease. Antipsychotics are often prescribed off-label for behavioral symptoms.

OBJECTIVE

The aim of this study was to describe the basis for regional variation in antidementia and antipsychotic medication use.

SETTING

US nursing homes (n=9735), hospital referral regions (HRR; n=289).

SUBJECTS

Long-stay residents with dementia (n=273,004).

METHODS

Using 2018 Minimum Data Set 3.0 linked to Medicare data, facility information, and Dartmouth Atlas files, we calculated prevalence of use and separate multilevel logistic models [outcomes: memantine, cholinesterase inhibitor (ChEI), antipsychotic use] estimated adjusted odds ratios (aOR) and 95% CIs for resident, facility, and HRR characteristics. We then fit a series of cross-classified multilevel logistic models to estimate the proportional change in cluster variance (PCV).

RESULTS

Overall, 20.9% used antipsychotics, 16.1% used memantine, and 23.3% used ChEIs. For antipsychotics, facility factors [eg, use of physical restraints (aOR: 1.08; 95% CI: 1.05-1.11) or poor staffing ratings (aOR: 1.10; 95% CI: 1.06-1.14)] were associated with more antipsychotic use. Nursing homes in HRRs with the highest health care utilization had greater antidementia drug use (aOR memantine: 1.68; 95% CI: 1.44-1.96). Resident/facility factors accounted for much regional variation in antipsychotics (PCV STATE : 27.80%; PCV HRR : 39.54%). For antidementia medications, HRR-level factors accounted for most regional variation (memantine PCV STATE : 37.44%; ChEI PCV STATE : 39.02%).

CONCLUSION

Regional variations exist in antipsychotic and antidementia medication use among nursing home residents with dementia suggesting the need for evidence-based protocols to guide the use of these medications.

Community, Social, and Facility Factors and Long-stay Antipsychotic Use

OBJECTIVES

Compare Virginia nursing homes in the top- and bottom-quintiles of antipsychotic use for variation in community, social, and facility factors.

METHODS

2018 CMS data ascertained Virginia nursing homes in the top and bottom quintiles for antipsychotic use. The Virginia Health Department provided social determinant of health (SDOH) statistics for each facility's county/city while claims identified facility demographics. Chi square and independent two-sample t-tests compared quintiles for regional, social, and demographic differences.

RESULTS

Quintiles averaged 3000 residents and 56 facilities. Facilities with the lowest rates of antipsychotic use were more likely to be privately owned and had fewer African-American and minority residents and more white residents. All 18 SDOH statistics were superior for the communities of facilities with the lowest antipsychotic rates. Nine of these differences were statistically significant, including the aggregated "Health Opportunity Index."

CONCLUSIONS

The antipsychotic prevalence rate for facilities in the top-quintile of antipsychotic use is fivefold the bottom-quintile's rate. Antipsychotic prescribing in nursing homes is associated with regional, demographic, and social factors not addressed by existing antipsychotic reduction measures, with vulnerable populations at greatest risk.

CLINICAL IMPLICATIONS

The efficacy of measures aimed at curbing long-stay antipsychotic prescribing could be improved by addressing SDOH including economic opportunities.