Pups Assisting Wellness for Staff (P.A.W.S.): Evaluating the impact of canine-assisted interventions on critical care staff wellness
Bibliographic record
Abstract
Acute care settings can expose staff to job-related stressors. Pups Assisting Wellness for Staff (P.A.W.S.) has been designed as an innovative approach to support acute care staff in the emergency department and intensive care unit. Initially, P.A.W.S. was implemented as a Comfort Dog Pilot and then expanded into a Therapy Dog Model. The Therapy Dog Model incorporated learnings from the Comfort Dog Pilot to evaluate the impact of the following: more dogs, using certified therapy dogs, and visiting at different times of the day. Results throughout the project demonstrated a positive impact on staff morale, staff stress, overall and staff satisfaction, and a strong desire for the project to continue. As a result and with a collaborative effort between a multidisciplinary team, P.A.W.S. has now been operationalized as a permanent program to support staff in acute care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".