Evidence map›Paper›PMID 39394536›Full record

ArticleAdministration and policy in mental health2025

Changes in Antipsychotic Medication Adherence Among Medicaid Beneficiaries with Schizophrenia During COVID-19.

Siyuan Shen, Catherine Yang, Molly Candon, Emily Lorenc, Min Jang, David Mandell

Abstract read
In one paragraph

Article in Administration and policy in mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Siyuan ShenDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA. Lisa.Shen@pennmedicine.upenn.edu.ORCID 0000-0003-1882-2304
Catherine YangDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA.
Molly CandonDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA.ORCID 0000-0001-8312-951X
Emily LorencDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA.ORCID 0009-0008-4710-0005
Min JangDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA.ORCID 0000-0002-1661-2242
David MandellDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, 3rd Floor, Philadelphia, PA, 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify patterns of medication adherence during the pandemic and factors associated with these patterns among Medicaid-enrolled individuals with schizophrenia who had highly adherent medication use prior to the COVID-19 pandemic. We used Medicaid claims from Philadelphia to identify individuals with schizophrenia ≥ 18 years of age, their demographic characteristics, and health service use. We used group trajectory models to identify adherence trends, and ANOVA to examine associations between adherence groups and demographic characteristics and service use. The sample included 1,622 individuals. A 4-group trajectory model best fit our data. Seventy percent of individuals averaged about 92% adherence throughout the study period; 10% experienced a pronounced decline when the pandemic started (pandemic non-adherers); 11% experienced a sharp decline mid-pandemic (late non-adherers); and 9% experienced a sharp decline at the beginning of the pandemic and returned to higher adherence after a year (disrupted adherers). Adherers were least likely to be diagnosed with a substance use disorder, and had more telehealth visits, mental health outpatient visits, and fewer emergency department visits on average. Late non-adherers were more likely than adherers to have substance use disorders and physical health conditions. Pandemic non-adherers had more co-occurring psychiatric disorders than adherers and had the lowest use of case management. Three in ten previously adherent individuals with schizophrenia became less adherent to antipsychotic medications, either at the onset or later in the pandemic. Our findings point to telehealth and case management as critical strategies for treatment engagement, especially during public health crises, and well as the need to address co-occurring conditions.

Indexed as

Antipsychotic AgentsCOVID-19MedicaidMedication AdherenceSchizophreniaAdolescentAdultFemaleHumansMaleMiddle AgedPhiladelphiaSARS-CoV-2TelemedicineUnited StatesYoung AdultAntipsychotic AgentsCOVID pandemicMedication adherenceSchizophreniaTelehealth

Identifiers

PMID39394536
PMCPMC11903577

What Socratic holds

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LicenceCC BY
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 Socratic graph.