Evidence map›Paper›PMID 36841263›Full record

Observational studyJournal of the American Medical Directors Association2023

State Variation in Antipsychotic Use Among Assisted Living Residents With Dementia.

Tingting Zhang, Kali S Thomas, Andrew R Zullo, Antoinette B Coe, Lauren B Gerlach, Lori A Daiello, Hiren Varma, Derrick Lo, Richa Joshi, Julie P W Bynum and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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 at 2 institutions in 1 country.

Tingting ZhangCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA. Electronic address: tingting_zhang@brown.edu.
Kali S ThomasCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Health Services, Policy & 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.
Andrew R ZulloCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Antoinette B CoeDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, 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.
Lori A DaielloCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA.
Hiren VarmaCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
Derrick LoCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
Richa JoshiCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
Julie P W BynumInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Theresa I ShiremanCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA.
Brown University · USUniversity of Michigan–Ann Arbor · US

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
U.S. Deprescribing Research NetworkR24AG064025 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BOYD, CYNTHIA MELINDA, STEINMAN, MICHAEL A. · 2019 to 2023
$9.9M
Do State Regulations Affect the Outcomes of Assisted Living Residents with Dementia?R01AG057746 · NIA · BROWN UNIVERSITY · PI THOMAS, KALI ST. MARIE · 2018 to 2020
$2.9M
Safe Cardiometabolic Drug Prescribing to Prevent Injury in Nursing Home ResidentsRF1AG061221 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI BERRY, SARAH DYER · 2019 to 2019
$2.8M
Medications and the Risk of Motor Vehicle Crashes in Older AdultsR01AG065722 · NIA · BROWN UNIVERSITY · PI ZULLO, ANDREW REIS · 2020 to 2023
$2.1M
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
Opioid use in post-acute hip fracture care: prescribing patterns, effectiveness, and safetyR21AG061632 · NIA · BROWN UNIVERSITY · PI BEAUDOIN, FRANCESCA, ZULLO, ANDREW REIS · 2019 to 2020
$462k
NIA NIH HHS K08 AG071856NIA NIH HHS P01 AG027296NIA NIH HHS R01 AG057746NIA NIH HHS R01 AG065722NIA NIH HHS R21 AG061632NIA NIH HHS R24 AG064025NIA NIH HHS RF1 AG061221
6 · The paper itself

Abstract

objectivesMore than two-thirds of assisted living (AL) residents have dementia or cognitive impairment and antipsychotics are commonly prescribed for behavioral disturbances. As AL communities are regulated by state-level policies, which vary significantly regarding the care for people with dementia, we examined how antipsychotic prescribing varied across states among AL residents with dementia.

designThis was an observational study using 20% sample of national Medicare data in 2017. SETTING AND

participantsThe study cohort included Medicare beneficiaries with dementia aged 65 years or older who resided in larger (≥25-bed) ALs in 2017.

methodsThe study outcome was the percentage of eligible AL person-months in which antipsychotics were prescribed for each state. We used a random intercept linear regression model to shrink estimates toward the overall mean use of antipsychotics addressing unstable estimates due to small sample sizes in some states.

resultsA total of 20,867 AL residents with dementia were included in the analysis, contributing to 194,718 person-months of observation. On average, AL residents with dementia were prescribed antipsychotics during 12.6% of their person-months. This rate varied significantly by state, with a low of 7.8% (95% CI 5.9%-10.3%) for Hawaii to a high of 20.5% (95% CI 16.4%-25.3%) for Wyoming. CONCLUSIONS AND IMPLICATIONS: We observed significant state variation in the prescribing of antipsychotics among AL residents with dementia using national data. These variations may reflect differences in state regulations regarding the care for AL residents with dementia and suggest the need for further investigation to ensure high quality of care.

Indexed as

Antipsychotic AgentsCognitive DysfunctionDementiaAgedHawaiiHumansMedicareUnited StatesAntipsychotic AgentsAntipsychotic agentsassisted living facilitiesdementiahealth policy

Identifiers

PMID36841263
PMCPMC10089770
OpenAlexW4321601888

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.