Identifying facilitators of early access to care among Canadian Forces Health Services personnel
Bibliographic record
Abstract
LAY SUMMARY Despite the importance of the mental and physical well-being of Canadian Forces Health Services (CFHS) personnel, research suggests they may be under-accessing care. A lot of research has looked at what factors prevent individuals from accessing care (i.e., barriers), but almost none has examined what encourages individuals to access care (i.e., facilitators). In addition to examining which facilitators encourage CFHS personnel to access care, this study also examined whether facilitators directly impacted care-seeking behaviour, or whether they also indirectly influence behaviour by impacting general intentions to access care. Results showed that prioritizing one’s health directly and indirectly influenced care-seeking for both mental and physical health issues. Having the support of senior leadership influenced intention to seek care for mental health issues. Easy access to care influenced intention to seek care for physical health issues. Ensuring CFHS personnel prioritize their own health, have the support of senior leadership, and have easy access to care will help promote early access to care.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".