Identification of cognitive impairment and mental illness in elderly homeless men: Before and after access to primary health care.
Bibliographic record
Abstract
OBJECTIVE: To describe the occurrence of mental health problems and cognitive impairment in a group of elderly homeless men and to demonstrate how clinical examination and screening tests used in a shelter setting might be helpful in identifying mental illness and cognitive impairment. DESIGN: Cross-sectional study including face-to-face interviews and review of medical records. SETTING: A community-based homeless shelter in an urban metropolitan centre (Toronto, Ont). PARTICIPANTS: A total of 49 male participants 55 years of age or older. The average duration of homelessness was 8.8 (SD 10.2) years. METHODS: Participants were admitted to a community-based shelter that offered access to regular meals, personal support and housing workers, nursing, and a primary care physician. Medical chart review was undertaken to identify mental illness or cognitive impairment diagnosed either before or after admission to the facility. The 15-item Geriatric Depression Scale (GDS-15) and the Folstein Mini-Mental State Examination (MMSE) were administered. MAIN OUTCOME MEASURE: Previous or new diagnosis of mental illness or cognitive impairment. RESULTS: Thirty-six of the participants (73.5%) had previous or new diagnoses. The most prevalent diagnosis was schizophrenia or psychotic disorders (n = 17), followed by depression (n = 11), anxiety disorders (n = 3), cognitive impairment (n = 8), and bipolar affective disorder (n = 1). A total of 37% of participants were given new mental health diagnoses during the study. The GDS-15 identified 9 people with depression and the MMSE uncovered 11 individuals with cognitive impairment who had not been previously diagnosed. CONCLUSION: This study suggests that providing access to primary care physicians and other services in a community-based shelter program can assist in identification of mental illness and cognitive impairment in elderly homeless men. Use of brief screening tools for depression and cognitive impairment (like the GDS-15 and the MMSE) could be helpful in this highrisk group.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".