MétaCan
Menu
← Back to cohort
Record W3087632176

Interventions for Adult Offenders With Serious Mental Illness [Internet]

2013· article· en· W3087632176 on OpenAlexaboutno aff
Joann Fontanarosa, Stacey Uhl, Olu Oyesanmi, Karen M Schoelles

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionMental illnessPsychiatryMedicineData extractionPrisonSchizoaffective disorderMEDLINEBipolar disorderSuicidal ideationMental healthPsychologyMoodPoison controlSuicide preventionPsychosisMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

Objective To comprehensively review the evidence for treatments for offenders with serious mental illness (i.e., schizophrenia, schizoaffective disorder, bipolar disorder, or major depression) in jail, prison, or forensic hospital, or transitioning from any of these settings to the community (e.g., home, halfway house). Data sources We searched 12 internal and external databases including MEDLINE®, PreMEDLINE®, and Embase® for the time period January 1, 1990, through August 20, 2012. Review methods We refined the topic, Key Questions, and protocol with experts in the field and determined the study inclusion criteria and risk-of-bias items a priori. Abstract and full-text review and the risk-of-bias assessment were done in duplicate. A second reviewer verified data extraction. Extracted study information included study design, patient enrollment and baseline characteristics, risk-of-bias items, and outcome data. Because of the nature of the available evidence, we chose to perform a qualitative synthesis rather than meta-analysis. We graded the strength of evidence for each treatment comparison and outcome based on the size, risk of bias, and results of the evidence base. We discussed applicability by focusing on the populations, interventions, and settings of the studies. Results We included 19 publications describing 16 comparative trials. The studies were conducted in the United States, Canada, United Kingdom, New Zealand, and Australia. The risk of bias for all reported outcomes was medium for 15 trials and low for 1 trial. For incarceration-based interventions, evidence of low strength favored antipsychotics other than clozapine over treatment with clozapine for improving psychiatric symptoms. For all other incarceration-based interventions assessed—other pharmacologic therapies, cognitive therapy, and modified therapeutic community—evidence was insufficient to draw any conclusions. For individuals transitioning from the incarceration setting to the community, evidence of low strength supported discharge planning with benefit-application assistance and integrated dual disorder treatment compared with standard of care for increasing mental health service use and/or reducing psychiatric hospitalizations. Evidence was insufficient for comparing interventions administered by a forensic specialist with interventions administered by mental health professionals and for comparing interpersonal therapy with psychoeducation for offenders transitioning from incarceration to the community. More comparative trials are needed to increase our confidence in the findings for which the strength of evidence is low and to address the questions for which the evidence was insufficient. Conclusions We identified some promising treatments for individuals with serious mental illness during incarceration or during transition from incarceration to community settings. Treatment with antipsychotics other than clozapine appears to improve psychiatric symptoms more than clozapine in an incarceration setting. Two interventions, discharge planning with Medicaid-application assistance and integrated dual disorder treatment programs, appear to be effective interventions for seriously mentally ill offenders transitioning back to the community. The applicability of our findings may be limited to the populations and settings in the included studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0060.004
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.315
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicSchizophrenia research and treatment→French-language works237,207→