Post-Release Health Insurance Utilization Among Ex-Prisoners: A Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The lack of health insurance coverage after prison release significantly reduces access to essential healthcare services, hindering the continuity of care during community reintegration. The evidence on studies of health insurance use following prison release is limited. This scoping review aimed to summarize research on health insurance utilization after release from prison. Literature searches were conducted across databases including ScienceDirect, PubMed, and Scopus. Relevant articles were selected through a two-stage screening process. Data were extracted from the included studies and presented in tabular and descriptive formats. The keywords used were "health insurance AND post-release" and "inmates OR prisoners." This scoping review showed that post-release health insurance utilization varied internationally. Coverage gaps, such as those in the United States, limit access to and continuity of care, whereas Canada and Australia provide more stable services. Barriers included administrative challenges, housing and employment instability, stigma, and poor coordination within the health system. The findings highlight the influence of national insurance frameworks and the need for policies supporting prerelease-release enrollment, coverage continuity, cross-sector collaboration, and adherence to the World Health Organization and Nelson Mandela Rules for equitable healthcare.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it