Evidence map›Paper›PMID 38149102›Full record

ArticleExploratory research in clinical and social pharmacy2024

US Medicaid program: An analysis of the spending and utilization patterns for antidepressants from 2017 to 2021.

Mohamed Elmarasi, Brian Fuehrlein

Open access · goldAbstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Understanding social media discourse on antidepressants: unsupervised and sentiment analysis using X.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  8. Review
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

2 authors at 2 institutions in 1 country.

Mohamed ElmarasiDepartment of psychiatry, Nassau University Medical Center, United States.
Brian FuehrleinPsychiatry, Yale University, New Haven, CT, United States.
Nassau University Medical Center · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) is a serious mental health condition that contributes to health complications, financial burden and death. In 2020, about one in five US adults had a lifetime diagnosis of MDD Objective: The study investigated antidepressant usage and market distribution in the Medicaid Program. By doing so, the study aimed to provide insights into how these trends reflect broader changes in mental health treatment practices and policy implications within the Medicaid system during the study period. Methods: Public Medicaid data from 2017 to 2021 were analyzed, focusing on 30 FDA-approved antidepressants. Spending and prescription data were aggregated using Excel and Python. Results: The total US Medicaid expenditure on antidepressants increased from about $1 billion dollars in 2017 to $1.12 billion dollars in 2021, an increase of about 10%. Consistently, SSRIs were the class of antidepressants that Medicaid spent the most on. The highest Medicaid spending on a single antidepressant in 2017 and 2018 was bupropion. During the remaining years of the study (2019, 2020, 2021) Medicaid appropriated most funds toward Vortioxetine. The total number of antidepressant prescriptions increased from 52 million scripts to 59 million scripts (an increase of about 14%). Conclusions: The increase in Medicaid spending on antidepressants during the study period can be explained by an increase in utilization (a 14% increase in antidepressant prescriptions from 2017 to 2021), and a shift toward prescribing newer more costly antidepressants (like SSRIs and others) and away from prescribing older, less costly antidepressants like monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants (TCAs)."

Indexed as

AntidepressantsMedication expenditureSpending patternsUS MedicaidUtilization patterns

Identifiers

PMID38149102
PMCPMC10750172
OpenAlexW4389334824

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.