Evidence map›Paper›PMID 38833712›Full record

ArticleMedical care2024

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

Alison Rataj, Matthew Alcusky, Jonggyu Baek, Brian Ott, Kate L Lapane

Abstract read
In one paragraph

Article in Medical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Geographic Variation of Gabapentinoids and Opioids in US Nursing Homes.Journal of the American Medical Directors Association · 2026
    Article
  2. Article
  3. COVID-19 Factors Associated With Medication Changes Among Nursing Home Residents With Dementia.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
    Article
  4. Article
  5. Article
  6. 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

5 authors.

Alison RatajDepartment of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA.
Matthew AlcuskyDepartment of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, Division of Biostatistics and Health Services Research, University of Massachusetts Chan Medical School, Worcester, MA.
Brian OttDepartment of Neurology, Alpert Medical School of Brown University, Providence, RI.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA.

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Antidementia medication use, safety, and effectiveness among nursing home residents with Alzheimer's diseaseR01AG068450 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ALCUSKY, MATTHEW · 2020 to 2022
$2.3M
NCATS NIH HHS UL1 TR001086NIA NIH HHS R01 AG068450
6 · The paper itself

Abstract

backgroundSeveral 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.

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

settingUS nursing homes (n=9735), hospital referral regions (HRR; n=289). SUBJECTS: Long-stay residents with dementia (n=273,004).

methodsUsing 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).

resultsOverall, 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%).

conclusionRegional 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.

Indexed as

Antipsychotic AgentsCholinesterase InhibitorsDementiaMemantineNursing HomesAgedAged, 80 and overFemaleHumansMaleMedicareUnited StatesAntipsychotic AgentsCholinesterase InhibitorsMemantine

Identifiers

PMID38833712
PMCPMC12376376

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Registered trials

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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.