Evidence map›Paper›PMID 34009492›Full record

ArticleAdministration and policy in mental health2022

Significance and Factors Associated with Antipsychotic Polypharmacy Utilization Among Publicly Insured US Adults.

Marcela Horvitz-Lennon, Rita Volya, Katya Zelevinsky, Mimi Shen, Julie M Donohue, Andrew Mulcahy, Sharon-Lise T Normand

Open access · greenAbstract read
In one paragraph

Article in Administration and policy in mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 5 institutions in 1 country.

Marcela Horvitz-LennonRAND Corporation, 20 Park Plaza, Suite 920, Boston, MA, 02116, USA. mhorvitz@rand.org.ORCID 0000-0001-8120-9313
Rita VolyaInstitute for Health Care Policy, Massachusetts General Hospital, Boston, MA, USA.
Katya ZelevinskyThe Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Mimi ShenRAND Corporation, Santa Monica, CA, USA.
Julie M DonohueThe Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA.
Andrew MulcahyRAND Corporation, Washington, DC, USA.
Sharon-Lise T NormandThe Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Harvard University · USRAND Corporation · USCambridge Health Alliance · USMassachusetts General Hospital · USUniversity of Pittsburgh · US

Funding

Improving Minority Health by Monitoring Medicaid Quality, Disparities and ValueR01MD012428 · NIMHD · RAND CORPORATION · PI HORVITZ-LENNON, MARCELA V, NORMAND, SHARON-LISE TERESA · 2017 to 2020
$3.2M
Improving Value of Publicly Funded Mental Health CareR01MH106682 · NIMH · RAND CORPORATION · PI HORVITZ-LENNON, MARCELA V, NORMAND, SHARON-LISE TERESA · 2016 to 2019
$2.6M
National Institute of Minority Health and Health Disparities R01 MDO12428NIMHD NIH HHS R01 MD012428NIMH NIH HHS R01 MH106682
6 · The paper itself

Abstract

Antipsychotic polypharmacy (APP) lacks evidence of effectiveness in the care of schizophrenia or other disorders for which antipsychotic drugs are indicated, also exposing patients to more risks. Authors assessed APP prevalence and APP association with beneficiary race/ethnicity and payer among publicly-insured adults regardless of diagnosis. Retrospective repeated panel study of fee-for-service (FFS) Medicare, Medicaid, and dually-eligible white, black, and Latino adults residing in California, Georgia, Iowa, Mississippi, Oklahoma, South Dakota, or West Virginia, filling antipsychotic prescriptions between July 2008 and June 2013. Primary outcome was any monthly APP utilization. Across states and payers, 11% to 21% of 397,533 antipsychotic users and 12% to 19% of 9,396,741 person-months had some APP utilization. Less than 50% of person-months had a schizophrenia diagnosis and up to 19% had no diagnosed mental illness. Payer modified race/ethnicity effects on APP utilization only in CA; however, the odds of APP utilization remained lower for minorities than for whites. Elsewhere, the odds varied by race/ethnicity only in OK, with Latinos having lower odds than whites (odds ratio 0.76; 95% confidence interval 0.60-0.96). The odds of APP utilization varied by payer in several study states, with odds generally higher for Dual eligibles, although the differences were generally small; the odds also varied by year (lower at study end). APP was frequently utilized but mostly declined over time. APP utilization patterns varied across states, with no consistent association with race/ethnicity and small payer effects. Greater use of APP-reducing strategies are needed, particularly among non-schizophrenia populations.

Indexed as

Antipsychotic AgentsAdultAgedHumansMedicaidMedicarePolypharmacyRetrospective StudiesUnited StatesAntipsychotic AgentsAntipsychotic drugAntipsychotic polypharmacyDual eligibleLow value careMedicaidMedicarePublic payerRacial/ethnic minoritiesSerious mental illness

Identifiers

PMID34009492
PMCPMC8893990
OpenAlexW3160589573

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.