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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".