Evidence map›Paper›PMID 39740766›Full record

Observational studyJournal of the American Medical Directors Association2025

Effects of Nursing Home Changes in Antipsychotic Use on Outcomes among Residents with Dementia.

Andrew R Zullo, Melissa R Riester, Hiren Varma, Lori A Daiello, Lauren B Gerlach, Antoinette B Coe, Kali S Thomas, Richa Joshi, Tingting Zhang, Theresa I Shireman and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Andrew R ZulloDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA. Electronic address: andrew_zullo@brown.edu.
Melissa R RiesterDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Hiren VarmaCenter for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Lori A DaielloCenter for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Department of Neurology, Warren Alpert Medical School, Brown University, Providence, RI, USA.
Lauren B GerlachInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Antoinette B CoeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, USA.
Kali S ThomasCenter for Equity in Aging, Johns Hopkins University School of Nursing, Baltimore, MD, USA.
Richa JoshiCenter for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Tingting ZhangCenter for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Theresa I ShiremanCenter for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Julie P W BynumDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
Clinically Significant Drug Interactions among Nursing Home Residents with ADRDR01AG077620 · NIA · BROWN UNIVERSITY · PI Andrew Reis Zullo · 2022 to 2026
$3.5M
Prescribing Cascades among Nursing Home Residents with ADRDRF1AG089541 · NIA · BROWN UNIVERSITY · PI HAYES, KALEEN NICOLE, ZULLO, ANDREW REIS · 2024 to 2024
$2.2M
Medications and the Risk of Motor Vehicle Crashes in Older AdultsR01AG065722 · NIA · BROWN UNIVERSITY · PI ZULLO, ANDREW REIS · 2020 to 2023
$2.1M
Post-Acute Care Medication Use and Functional Recovery in Heart FailureR01AG088522 · NIA · BROWN UNIVERSITY · PI PARAG GOYAL, Andrew Reis Zullo · 2024 to 2026
$1.9M
Improving Medication Use and Outcomes in Older Adults with Dementia after Hospitalization: Effectiveness of Medicare ProgramsK08AG071856 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COE, ANTOINETTE BARTOLOTTA · 2021 to 2024
$620k
NIA NIH HHS K08 AG071856NIA NIH HHS P01 AG027296NIA NIH HHS R01 AG065722NIA NIH HHS R01 AG077620NIA NIH HHS R01 AG088522NIA NIH HHS RF1 AG089541
6 · The paper itself

Abstract

objectivesLittle information exists on whether nationwide efforts to reduce antipsychotic use among nursing home (NH) residents with Alzheimer's disease and related dementias improved mortality and hospitalization outcomes for residents. Our objective was to examine the effect of NH decreases in antipsychotic use on outcomes for residents with Alzheimer's disease and related dementias.

designObservational nationwide study that emulated a series of cluster randomized trials. SETTING AND

participantsLong-stay NH residents with Alzheimer's disease and related dementias in US NHs.

methodsThe study used data from Medicare claims to emulate cluster randomized trials in which NHs were assigned to either decrease or maintain/increase antipsychotic use. Outcome ascertainment for the first trial began on April 1, 2012 (ie, following the announcement of the National Partnership to Improve Dementia Care in NHs). The last day of follow-up was December 31, 2017. Outcomes measured included 12-month all-cause mortality, all-cause hospitalization, and hospitalization for stroke, myocardial infarction, fracture, and psychiatric conditions. Use of other psychotropic medications was also evaluated. Inverse-probability-of-treatment-weighted pooled Poisson regression models estimated covariate-adjusted risk ratios (RRs).

resultsThe adjusted risks of death (RR, 1.01; 95% CLs, 1.00, 1.01), all-cause hospitalization (RR, 1.00; 95% CLs, 1.00, 1.01), and hospitalization for specific causes were similar between resident-trials in NHs that decreased vs maintained/increased antipsychotic use. Use of antidepressants, anxiolytic/sedative-hypnotics, anticonvulsant/mood stabilizers, and antidementia medications was slightly higher among resident-trials in NHs that decreased antipsychotic use. CONCLUSIONS AND IMPLICATIONS: Decreases in NH antipsychotic use do not appear to improve resident outcomes. Intensive initiatives focused predominantly on achieving a decrease in antipsychotic use may not be effective at improving mortality and hospitalization outcomes for residents with Alzheimer's disease and related dementias. These findings suggest the need for better strategies that incorporate safe and effective nonpharmacological or pharmacological alternatives for managing neuropsychiatric symptoms of dementia.

Indexed as

Antipsychotic AgentsDementiaNursing HomesAgedAged, 80 and overFemaleHospitalizationHumansMaleMedicareUnited StatesAntipsychotic AgentsAlzheimer's diseaseantipsychotic agentsdementiahospitalizationnursing homesolder adults

Identifiers

PMID39740766
PMCPMC11890954

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.