Evidence map›Paper›PMID 37058293›Full record

ArticleJAMA health forum2023

Estimated Use of Prescription Medications Among Individuals Incarcerated in Jails and State Prisons in the US.

Jill Curran, Brendan Saloner, Tyler N A Winkelman, G Caleb Alexander

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
17.4field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Mass incarceration as a climate justice issue.Environmental research letters : ERL [Web site] · 2026
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  12. The U.S. Criminal Legal System and Population Health.Current epidemiology reports · 2025
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  14. "Healthcare (Basel, Switzerland) · 2024
    Article
  15. Article
  16. Review
  17. "You can get a couple of ramen noodle packs for a BusparResearch in social & administrative pharmacy : RSAP · 2023
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Jill CurranCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Brendan SalonerDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Tyler N A WinkelmanDivision of General Internal Medicine, Hennepin Healthcare, Minneapolis, Minnesota.
G Caleb AlexanderCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USHennepin Healthcare Research Institute · USJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Although incarcerated individuals experience higher rates of chronic conditions, little is known regarding the use of prescription medications in jails and prisons in the US. Objective: To characterize treatment with prescription medications in jails and state prisons relative to noncorrectional settings in the US. Design, Setting, and Participants: This cross-sectional analysis using 2018 to 2020 data from the National Survey on Drug Use and Health (NSDUH) estimated the prevalence of disease among recently incarcerated and nonincarcerated adults in the US. The study used 2018 to 2020 IQVIA's National Sales Perspective (NSP) to quantify the distribution of medications to incarcerated and nonincarcerated populations. The NSP provides national dollar and unit sales of prescription medications across multiple distribution channels, including prisons and jails. The study population included incarcerated and nonincarcerated individuals from NSDUH. Seven common chronic conditions were assessed. Data were analyzed in May 2022. Exposures: Medications being sent to correctional facilities vs all other settings in the US. Main Outcomes and Measures: The main outcomes were distribution of medications to treat diabetes, asthma, hypertension, hepatitis B and C, human immunodeficiency virus (HIV), depression, and severe mental illness to incarcerated and nonincarcerated populations. Results: The proportion of pharmaceuticals distributed to jails and state prisons to treat type 2 diabetes (0.15%), asthma (0.15%), hypertension (0.18%), hepatitis B or C (1.68%), HIV (0.73%), depression (0.36%), and severe mental illness (0.48%) was much lower compared with the relative burden of disease among this population. The incarcerated population in state prisons and jails accounted for 0.44% (95% CI, 0.34%-0.56%) of estimated individuals with diabetes, 0.85% (95% CI, 0.67%-1.06%) of individuals with asthma, 0.42% (95% CI, 0.35%-0.51%) of hypertension, 3.13% (95% CI, 2.53%-3.84%) of hepatitis B or C, 2.20% (95% CI, 1.51%-3.19%) of HIV, 1.46% (95% CI, 1.33%-1.59%) of depression, and 1.97% (95% CI, 1.81%-2.14%) of severe mental illness. After adjusting for disease prevalence, the relative disparity was 2.9-fold for diabetes, 5.5-fold for asthma, 2.4-fold for hypertension, 1.9-fold for hepatitis B or C, 3.0-fold for HIV, 4.1-fold for depression, and 4.1-fold for severe mental illness. Conclusions and Relevance: In this cross-sectional, descriptive study of the distribution of prescription medications for chronic conditions in jails and state prisons, the findings suggest that there may be underuse of pharmacological treatment in correctional facilities relative to the nonincarcerated population. These findings, which require further investigation, may reflect inadequate care in jails and prisons and represent a critical public health issue.

Indexed as

AsthmaDiabetes Mellitus, Type 2Hepatitis BHIV InfectionsHypertensionPrescription DrugsPrisonersAdultCross-Sectional StudiesHumansJailsPrescriptionsPrisonsPrescription Drugs

Identifiers

PMID37058293
PMCPMC10105311
OpenAlexW4365483781

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.