SAFE – A risk management tool to protect both people and pets in residential aged care facilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Pet ownership has known health and well-being benefits for people of all ages. Most previous research on pet ownership among older people has focussed on older people with pets living independently in their own homes or the effects of visiting pet programs in residential aged care. With structural ageing of populations globally, the number of humans living into old age is increasing. Even with home support and care policies, an increasing number will need to live in communal aged care settings. Currently, pets rarely accompany older persons into communal residential aged care. This article presents a risk management tool – Safe Animal Friendly Environments (SAFE) – designed to facilitate and maintain private pet ownership among older people living in residential aged care facilities. SAFE was developed to identify best practice for both human and animal well-being in residential aged care. The tool supports both human and animal well-being during a human stage of life with many losses and pains while reducing the number of pet animals needlessly relinquished or even euthanised when owners need to ‘go into care’. It was developed using a Delphi process with multidisciplinary expert input. We identify the different types of risks for stakeholders (residents with pets, aged care facility staff and pets), including physical, zoonotic and psychological risks. None of the identified risks of pets in aged care are unmanageable. SAFE reduces risks to acceptable levels and directs how to remove them where possible. SAFE has a summative table listing 17 general risks: from animals to humans, humans to animals and animals to animals. Each identified risk has a pre-mitigation risk assessment (low, medium or high), recommended mitigation actions and a post-mitigation risk rating (low, medium or high). Post-mitigation risk is reduced to ‘low’ in almost all scenarios. SAFE has separate tables for dogs, cats, small mammals, birds and fish, each preceded by a best practice case study. The discussion links the Ottawa Charter for (human) health promotion and use of SAFE. SAFE contributes to the inclusion of residential aged care as a context for the personal human-animal bond.
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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 | 0.000 | 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) | 0.001 | 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 it