Understanding the Barriers to and Facilitators of Anxiety Management in Residents of Long-Term Care
Bibliographic record
Abstract
Older adults, 65 years of age and older, living in long-term care (LTC) commonly experience anxiety. This study aimed to understand care providers' perspectives on the barriers to and facilitators of managing anxiety in residents of LTC. Ten semi-structured interviews with care providers in LTC were completed. Framework analysis methods were used to code, thematically analyze, designate codes as barriers or facilitators, and map the codes to the Theoretical Domains Framework. Themes were categorized as acting at the resident, provider, or system level, and were labelled as either barriers to or facilitators of anxiety care. Key barriers to anxiety care at each level were resident cognitive impairment or co-morbidities; lack of staff education, staff treatment uptake and implementation; as well as the care delivery environment and access to resources. There is a need to prioritize measurement-based care for anxiety, have increased access to non-pharmacological treatments, and have a care delivery environment that supports anxiety management to improve the care for anxiety that is delivered to residents.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".