Evidence map›Paper›PMID 35615813›Full record

ArticleThe American journal of psychiatry2022

Evaluation of Antipsychotic Reduction Efforts in Patients With Dementia in Veterans Health Administration Nursing Homes.

Lauren B Gerlach, Donovan T Maust, Helen C Kales, Myron Chang, H Myra Kim, Ilse R Wiechers, Kara Zivin

Open access · greenAbstract read
In one paragraph

Article in The American journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Lauren B GerlachDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
Donovan T MaustDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
Helen C KalesDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
Myron ChangDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
H Myra KimDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
Ilse R WiechersDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
Kara ZivinDepartment of Psychiatry and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (Gerlach, Maust, Zivin); Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor (Maust, Chang, Kim, Zivin); Department of Psychiatry and Behavioral Sciences, UC Davis Health, Sacramento (Kales); Center for Statistical Consulting and Research, University of Michigan, Ann Arbor (Kim); Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (Wiechers); Department of Psychiatry and Behavioral Sciences, University of California San Francisco (Wiechers); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Wiechers).
VA Ann Arbor Healthcare System · US

Funding

Medicating distress: Use of psychotropic medications among patients with dementia receiving hospice careK23AG066864 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GERLACH, LAUREN BETH · 2021 to 2025
$1.0M
Unintended Consequences: The Impact of VA Antipsychotic Reduction Efforts in DementiaI01HX002050 · VA · VETERANS HEALTH ADMINISTRATION · PI ZIVIN, KARA · 2018 to 2022
–
HSRD VA I01 HX002050HSRD VA IK6 HX003397NIA NIH HHS K23 AG066864
6 · The paper itself

Abstract

objectiveThe Veterans Health Administration (VHA) and the Centers for Medicare and Medicaid Services (CMS) each created initiatives to reduce off-label use of antipsychotics in patients with dementia in nursing homes. Although CMS has reported antipsychotic reductions, the impact on prescribing of antipsychotic and other CNS-active medications in the VHA remains unclear. The authors evaluated national trends in antipsychotic and other CNS-active medication prescribing for nursing home patients with dementia in the VHA.

methodsThe study sample was all veterans with dementia residing in VHA nursing homes for more than 30 days (N=35,742). Using an interrupted time-series design, the quarterly prevalences of antipsychotic, antidepressant, antiepileptic, anxiolytic, opioid, and memory medication prescribing were evaluated from FY2009 through FY2018.

resultsAntipsychotic prescribing in VHA nursing homes declined from FY2009 to FY2018 (from 33.7% to 27.5%), with similar declines in anxiolytic prescribing (from 33.5% to 27.1%). During this period, prescribing of antiepileptics, antidepressants, and opioids increased significantly (antiepileptics: from 26.8% to 43.3%; antidepressants: from 56.8% to 63.4%; opioids: from 32.6% to 41.2%). Gabapentin served as the main driver of antiepileptic increases (from 11.1% to 23.5%). Increases in antidepressant prescribing included sertraline, mirtazapine, and trazodone. From FY2009 to FY2018, the overall prescribing of non-antipsychotic psychotropic medications grew from 75.0% to 81.1%.

conclusionsAntipsychotic and anxiolytic prescribing for VHA nursing home residents with dementia declined, although overall prescribing of other psychotropic and opioid medications increased. Policies focused primarily on reducing antipsychotic use without considering use in the context of other medications may contribute to growth in alternative medication classes with even less evidence of benefit and similar risks.

Indexed as

Anti-Anxiety AgentsAntipsychotic AgentsDementiaAgedAnalgesics, OpioidAnticonvulsantsAntidepressive AgentsHumansMedicareNursing HomesPsychotropic DrugsUnited StatesVeterans HealthAnalgesics, OpioidAnti-Anxiety AgentsAnticonvulsantsAntidepressive AgentsAntipsychotic AgentsPsychotropic DrugsAntipsychoticsDementiaLong-Term CareVeterans

Identifiers

PMID35615813
PMCPMC9349465
OpenAlexW4281552528

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.