Evidence map›Paper›PMID 40897968›Full record

Observational studyJournal of general internal medicine2025

Estimating Health Condition Prevalence Among a Statewide Cohort with Recent Homelessness or Incarceration.

Lucas Zellmer, Renee Van Siclen, Peter Bodurtha, Paul E Drawz, Stephen C Waring, Alanna M Chamberlain, Behnam Sabayan, Steven G Johnson, Karen Margolis, Rebecca Rossom and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

13 authors.

Lucas ZellmerHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Renee Van SiclenHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Peter BodurthaHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Paul E DrawzDivision of Nephrology and Hypertension, University of Minnesota, Minneapolis, MN, USA.
Stephen C WaringEssentia Institute of Rural Health, Duluth, MN, USA.
Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Behnam SabayanDepartment of Neurology, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Steven G JohnsonInstitute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
Karen MargolisHealthPartners Institute, Minneapolis, MN, USA.
Rebecca RossomHealthPartners Institute, Minneapolis, MN, USA.
Katherine Diaz VickeryHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Tyler N A WinkelmanHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, USA. tyler.winkelman@hcmed.org.ORCID 0000-0002-9581-5223
Minnesota Electronic Health Record Consortium

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

backgroundPublic health data systems have limited ability to provide timely, population-level information for people with severe and multiple disadvantages, such as individuals with recent homelessness or incarceration.

objectiveTo generate prevalence estimates for physical health, mental health, and substance use conditions in a statewide cohort that included individuals with recent incarceration or homelessness.

designThis observational cohort analysis was completed in July 2025 and used linked statewide electronic health record (EHR) and administrative data through the Minnesota Electronic Health Record Consortium (MNEHRC) and its Health Trends Across Communities project.

participantsAdults with an encounter at a MNEHRC-participating health system between 2021-2023. MAIN MEASURES: Statewide directly standardized, age and sex-adjusted, prevalence rates of 22 health conditions chosen by public health, healthcare, and research leaders in Minnesota, stratified by recent homelessness, jail incarceration, or prison incarceration. KEY

resultsThis cohort included 4,362,645 individuals (53% female, 73% white), including 20,139 individuals with recent homelessness, 51,470 individuals with recent jail incarceration, and 4,889 individuals with recent prison incarceration. Individuals with recent homelessness or jail or prison incarceration had a higher prevalence of asthma (14.9%, 9.6%, 10.1% respectively, vs. 7.1%) and COPD (10.5%, 6.1%, 5.5%, respectively, vs. 3.0%) compared to the general population. Individuals with recent homelessness had the highest rates of mental health disorders compared to other included groups; recently homeless Black individuals had the highest recorded rates of psychotic disorder diagnoses (18.7%) across racial and ethnic groups experiencing homelessness. Substance use disorders among individuals with recent homelessness or jail or prison incarceration, including opioid use disorder (13.9%, 10.6%, and 13.6%, respectively, vs. 1.4%), were higher compared to the general population.

conclusionsOur findings highlight widespread disparities among people with recent homelessness or incarceration, particularly related to mental health and substance use conditions. Payment and delivery models that account for high levels of co-occurring health and social complexity are needed.

Indexed as

Health StatusIll-Housed PersonsPrisonersAdultCohort StudiesFemaleHumansIncarcerationMaleMental DisordersMiddle AgedMinnesotaPrevalenceSubstance-Related DisordersYoung Adultchronic diseaseelectronic health recordhomelessnessincarceration

Identifiers

PMID40897968
PMCPMC12612294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.