Evidence map›Paper›PMID 36632050›Full record

ArticleSSM - population health2023

The contingent effect of incarceration on state health outcomes.

Christopher Uggen, Jason Schnittker, Sarah Shannon, Michael Massoglia

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Sociological Context of Incarceration and Health.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2023
    Article
  7. 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

4 authors at 3 institutions in 1 country.

Christopher UggenUniversity of Minnesota, USA.
Jason SchnittkerUniversity of Pennsylvania, USA.
Sarah ShannonUniversity of Georgia, USA.
Michael MassogliaUniversity of Wisconsin, USA.
California University of Pennsylvania · USUniversity of Georgia · USUniversity of Minnesota · US

Funding

Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
NICHD NIH HHS P2C HD044964
6 · The paper itself

Abstract

Introduction: This study examines how growth in the population of former prisoners affects rates of communicable diseases such as tuberculosis, syphilis, chlamydia, and HIV. Methods: We estimate state-level fixed effects count models showing how the former prisoner population affected communicable disease in U.S. states from 1987 to 2010, a period of dramatic growth in incarceration. Results: We find contingent effects, based on how specific diseases are recognized, tested, and treated in prisons. The rate of former prisoners increases diseases that are poorly addressed in the prison health care system (e.g., chlamydia), but decreases diseases that are routinely tested and treated (e.g., tuberculosis). For HIV, the relationship has shifted in response to specific treatment mandates and protocols. Data on prison healthcare spending tracks these contingencies. Discussion: Improving the health of prisoners can improve the health of the communities to which they return. We consider these results in light of the relative quality of detection and treatment available to underserved populations within and outside prisons.

Indexed as

Fixed effectsPrisonsStatesSTIsTuberculosis

Identifiers

PMID36632050
PMCPMC9827052
OpenAlexW2262999552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.