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Record W4409984551 · doi:10.22605/rrh9618

Health outcomes and healthcare access experiences of incarcerated and recently released women in rural areas: a scoping review

2025· review· en· W4409984551 on OpenAlexaff
Clare Heggie, Claire Fuller, Alex Goudreau, Martha Paynter

Bibliographic record

VenueRural and Remote Health · 2025
Typereview
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsSaint Mary's UniversityUniversity of New Brunswick
Fundersnot available
KeywordsHealth careRural areaMedicineNursingPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: The goal of this scoping review was to identify and synthesize what is known about the health outcomes and healthcare access experiences of women who are currently incarcerated or recently released from prison/jail in rural areas. METHODS: We followed the Joanna Briggs Institute methodology for scoping reviews. The population of interest was adult women or gender-diverse people who are either currently incarcerated or had been released in the prior year. The concepts of interest were health outcomes and health access experiences. The context was rural institutions of incarceration and rural communities in the post-incarceration period. RESULTS: We identified 48 relevant studies conducted in the US, Australia and England, published between 2001 and 2024. Ten studies took place in a rural community up to 1 year post-incarceration, and the remaining 38 took place in a rural prison or jail. The most common outcomes of interest were those related to substance use. CONCLUSION: Women in rural institutions of incarceration experience a general lack of healthcare options and availability, and may have elevated needs related to substance use. Women released into rural communities face barriers to accessing care, often relying on relationships to facilitate access to health care and social services, in lieu of the clinical and transitional services available in urban areas. Gaps in research include evidence on health outcomes not related to substance use, and experiences accessing primary care both while incarcerated and after release.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.814
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.450
Teacher spread0.393 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2025
Admission routes1
Has abstractyes

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