Evidence map›Paper›PMID 34074139›Full record

ArticlePsychiatric services (Washington, D.C.)2021

Factors Associated With Off-Label Utilization of Second-Generation Antipsychotics Among Publicly Insured Adults.

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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.

Marcela Horvitz-LennonRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Rita VolyaRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Simon HollandsRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Katya ZelevinskyRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Andrew MulcahyRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Julie M DonohueRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).
Sharon-Lise T NormandRAND Corporation, Boston (Horvitz-Lennon), Santa Monica, California (Hollands), and Washington, D.C. (Mulcahy); Institute for Health Care Policy, Massachusetts General Hospital, Boston (Volya); Department of Health Care Policy, Harvard Medical School, Boston (Zelevinsky, Normand); Department of Biostatistics, Harvard School of Public Health, Boston (Normand); Department of Health Policy and Management, University of Pittsburgh, Pittsburgh (Donohue).

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
NIMHD NIH HHS R01 MD012428NIMH NIH HHS R01 MH106682
6 · The paper itself

Abstract

objectiveOff-label utilization of second-generation antipsychotic medications may expose patients to significant risks. The authors examined the prevalence, temporal trends, and factors associated with off-label utilization of second-generation antipsychotics among publicly insured adults.

methodsA retrospective repeated panel was used to examine monthly off-label utilization of second-generation antipsychotics among fee-for-service Medicare, Medicaid, and dually eligible White, Black, and Latino adult beneficiaries filling prescriptions for second-generation antipsychotics in California, Georgia, Mississippi, and Oklahoma from July 2008 through June 2013.

resultsAmong 301,367 users of second-generation antipsychotics, between 36.5% and 41.9% had utilization that was always off-label. Payer did not modify effects of race-ethnicity on off-label utilization. Compared with Whites, Blacks had lower monthly odds of off-label utilization in all four states, and Latinos had lower odds of utilization in California and Georgia. Payer was associated with off-label utilization in California, Mississippi, and Oklahoma. California Medicaid beneficiaries were 1.12 (95% confidence interval=1.10-1.13) times as likely as dually eligible beneficiaries to have off-label utilization. Off-label utilization increased relative to the baseline year in all states, but a downward trend followed in three states.

conclusionsOff-label utilization of second-generation antipsychotics was prevalent despite the drugs' cardiometabolic risks and little evidence of their effectiveness. The lower likelihood of off-label utilization among patients from racial-ethnic minority groups might stem from prescribers' efforts to minimize risks, given a higher baseline risk for these groups, or from disparities-associated factors. Variation among payers suggests that payer policies can affect off-label utilization.

Indexed as

Antipsychotic AgentsAdultAgedEthnicityHumansMedicaidMedicareMinority GroupsOff-Label UseRetrospective StudiesUnited StatesAntipsychotic AgentsLow-value careNovel antipsychoticsOff-label utilizationOverusePublic payerRacial-ethnic minority

Identifiers

PMID34074139
PMCPMC8410611

What OpenQuestion holds

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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.