Evidence map›Paper›PMID 34291377›Full record

Observational studyJournal of general internal medicine2021

COVID-19 in the California State Prison System: an Observational Study of Decarceration, Ongoing Risks, and Risk Factors.

Elizabeth T Chin, Theresa Ryckman, Lea Prince, David Leidner, Fernando Alarid-Escudero, Jason R Andrews, Joshua A Salomon, David M Studdert, Jeremy D Goldhaber-Fiebert

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dynamic Contact Networks of Residents of an Urban Jail in the Era of SARS-CoV-2.medRxiv : the preprint server for health sciences · 2023
    Article
  12. Article
  13. COVID-19 Burden in Adult Correctional or Detention Facilities and the Surrounding Communities, January 1, 2020-July 20, 2021.Journal of correctional health care : the official journal of the National Commission on Correctional Health Care · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Elizabeth T Chin *Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Theresa Ryckman *Stanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lea PrinceStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
David Leidner, San Luis Obispo, CA, USA.
Fernando Alarid-EscuderoDivision of Public Administration, Center for Research and Teaching in Economics (CIDE), Aguascalientes, Aguascalientes, Mexico.
Jason R AndrewsDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Joshua A SalomonStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
David M StuddertStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jeremy D Goldhaber-FiebertStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. jeremygf@stanford.edu.ORCID 0000-0002-4007-5192

Funding

Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
National Science Foundation DGE-1656518NIDA NIH HHS R37 DA015612NIDA NIH HHS R37-DA15612
6 · The paper itself

Abstract

backgroundCorrectional institutions nationwide are seeking to mitigate COVID-19-related risks.

objectiveTo quantify changes to California's prison population since the pandemic began and identify risk factors for COVID-19 infection.

designFor California state prisons (March 1-October 10, 2020), we described residents' demographic characteristics, health status, COVID-19 risk scores, room occupancy, and labor participation. We used Cox proportional hazard models to estimate the association between rates of COVID-19 infection and room occupancy and out-of-room labor, respectively.

participantsResidents of California state prisons. MAIN MEASURES: Changes in the incarcerated population's size, composition, housing, and activities. For the risk factor analysis, the exposure variables were room type (cells vs. dormitories) and labor participation (any room occupant participating in the prior 2 weeks) and the outcome variable was incident COVID-19 case rates. KEY

resultsThe incarcerated population decreased 19.1% (119,401 to 96,623) during the study period. On October 10, 2020, 11.5% of residents were aged ≥60, 18.3% had high COVID-19 risk scores, 31.0% participated in out-of-room labor, and 14.8% lived in rooms with ≥10 occupants. Nearly 40% of residents with high COVID-19 risk scores lived in dormitories. In 9 prisons with major outbreaks (6,928 rooms; 21,750 residents), dormitory residents had higher infection rates than cell residents (adjusted hazard ratio [AHR], 2.51 95% CI, 2.25-2.80) and residents of rooms with labor participation had higher rates than residents of other rooms (AHR, 1.56; 95% CI, 1.39-1.74).

conclusionDespite reductions in room occupancy and mixing, California prisons still house many medically vulnerable residents in risky settings. Reducing risks further requires a combination of strategies, including rehousing, decarceration, and vaccination.

Indexed as

COVID-19PrisonersCaliforniaHumansPrisonsRisk FactorsSARS-CoV-2COVID-19exposuresincarcerated populationsinfectionsprisonsSARS-CoV-2

Identifiers

PMID34291377
PMCPMC8294831

What OpenQuestion holds

Textmetadata
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.