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Record W4411678092 · doi:10.1177/14713012251356587

Screening for Cognitive Impairment and Dementia Among Older People in Custody: A Systematic Review

2025· review· en· W4411678092 on OpenAlexaffabout
Michael Chike Iloabachie, Bryce E. Stoliker, Lisa M. Jewell, Arlene Kent‐Wilkinson

Bibliographic record

VenueDementia · 2025
Typereview
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDementiaPsycINFOMEDLINESystematic reviewCognitionNeurocognitiveCognitive impairmentMedicineCognitive declinePsychologyPsychiatryGerontologyClinical psychologyDisease

Abstract

fetched live from OpenAlex

Despite the growing number of older and aging people in custody across many countries, and corresponding vulnerability for neurocognitive issues, there has been limited research into the efficacy of cognitive assessment and dementia screening tools in correctional settings. The purpose of this study was to synthesize recent empirical research investigating dementia (and cognitive impairment) in older people in custody using screening tools. A systematic review methodology was adopted, with reporting guided by the PRISMA framework. This included a systematic search of four databases (PsycINFO, MedLine, PubMed, and Academic Search Complete) and handsearching of reference lists of eligible studies. A total of 9 peer-reviewed publications were included. All studies were from high income countries, including the United States ( n = 2), Germany ( n = 2), Canada ( n = 1), England and Wales ( n = 2), Australia ( n = 1), and France ( n = 1). These studies were synthesized according to the following themes: (1) use of screening tools with modification for the correctional setting; (2) use of screening tools without modification for the correctional setting; and, (3) innovative advances in cognitive screening tools and practices for correctional settings. This review identified several cognitive assessment and dementia screening tools that have been used in custodial settings. These tools can help in the early identification of dementia (or cognitive impairment) among older people in custody and, thus, inform the initiation of supports and strategies to manage those at risk. More research is needed to evaluate the performance of these tools compared with a diagnostic assessment.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.372
Teacher spread0.342 · 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 teacher head, not a consensus.

Study designSystematic review
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

Citations1
Published2025
Admission routes2
Has abstractyes

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