Evidence map›Paper›PMID 41184362›Full record

ArticleScientific reports2025

Psychotropic prescription trends in jails from 2013 to 2023: findings from the REACH database.

Amber H Simpler, Adam P Natoli, William Jett, Yash A Patade

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

0 citing papers in PubMed.

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

4 authors.

Amber H SimplerNaphCare Charitable Foundation, Inc., Birmingham, AL, USA. amber.simpler@naphcare.com.
Adam P NatoliNatoli Services, LLC, Huntsville, USA.
William JettNaphCare Charitable Foundation, Inc., Birmingham, AL, USA.
Yash A PatadeNaphCare Charitable Foundation, Inc., Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In light of escalating concerns about the increasing number of individuals in United States' jails with mental health conditions, the current investigation sought to examine population trends in psychotropic prescription patterns in 34 jails over an 11-year epoch. Leveraging data from a largescale, multisite database derived from 1,251,837 jail detainees' electronic health records (i.e., the Repository of Electronic Archives in Correctional Healthcare, or REACH, database), General Estimating Equations (GEE) models were used to estimate population-averaged probabilities of prescriptions for any psychotropic agent and specific agent classes (e.g., antianxiety, antidepressant, antipsychotic, anticonvulsant). While GEE analysis revealed year-to-year variability, overall significant increases (i.e., > 100%) in prescription probability were observed for all agent classes from 2013 to 2023 except lithium, which declined significantly over time. Notably, the prescription probability for antipsychotic agents increased 249% during the study epoch. These findings add further evidence of the increasing mental health needs of jail populations. To better understand the increase in psychotropic prescriptions among jail detainees, additional inquiries should explore the clinical justification, therapeutic value, and impact of treatment compliance.

Indexed as

Drug PrescriptionsJailsMental DisordersPractice Patterns, Physicians'Psychotropic DrugsAdultAntipsychotic AgentsDatabases, FactualElectronic Health RecordsFemaleHumansMaleMiddle AgedPrisonersUnited StatesAntipsychotic AgentsPsychotropic DrugsJailsPrescription patternsPsychotropic agentsREACH database

Identifiers

PMID41184362
PMCPMC12583618

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.