Clinical Complaints amongst Patients in a Guyanese Prison
Bibliographic record
Abstract
BACKGROUND: Incarcerated populations are at particular risk for developing specific health conditions. Prior studies of prisons in developing countries have focused on the threat of communicable diseases, though anecdotal evidence suggests that chronic conditions are of particular concern. This study constitutes the first published investigation of health complaints offered by residents of a prison in the South American nation of Guyana. METHOD: In 2010, a medical team sent by the Toronto non-governmental organization Ve'ahavta visited the Mazaruni prison in the interior of Guyana. Data on patient encounters was collected as part of the triage activity. RESULTS: Care was given to 108 patients, staff and family members. Contrary to literature expectations, 50% of complaints concerned musculoskeletal issues, while only 11% were genitor-reproductive. Upon examination, 30.6% of patients were experiencing musculoskeletal problems, most commonly back pain. CONCLUSION: Future medical interventions to this and comparable low- and middle-income country prisons should more vigorously consider physiotherapeutic interventions, in addition to the expected addressing of infectious diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".