Utilization of mental health care services among older adults with depression in Canada
Bibliographic record
Abstract
Previous studies have indicated a tendency for older adults to under-utilize available services and medications for depression. Three studies were undertaken to provide representative Canadian data on rates of mental health service use by older Canadian adults with depression, in three domains: (1) mental health consultations with health care professionals, (2) utilization of psychoactive medications commonly used in treatment of late-life depression, and (3) mental health-related utilization of alternative or complementary services and products. An additional objective was to examine the relative effect of age on service utilization after accounting for other potentially relevant sociodemographic and clinical characteristics. Data for the studies was obtained from Statistics Canada's Canadian Community Health Survey, Cycles 1.1 (Study 1) and 1.2 (Studies 2 and 3). Older adults were less likely than middle-aged adults to seek mental health care services from any health care professionals, and especially from specialty mental health professionals (psychologists or psychiatrists). Compared to middle-aged adults, older adults used antidepressant medications at a lower rate and benzodiazepines at a higher rate. Age-related patterns in mental health-related use of CAM did not directly correspond to age-related patterns in conventional mental health care utilization. The results of the three dissertation studies clearly indicate that mental health utilization patterns continue to differ significantly among middle-aged, younger- and older-older adults with depression. These findings have significant implications in terms of initiatives to improve the recognition and treatment of late-life depression.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".