The relationship between persons with mental health problems and their dogs: A qualitative study within a nursing perspective
Bibliographic record
Abstract
Background: There is an increasing number of people with mental health disorders in the Western world. The most common traditional therapies are conversational therapy and medications. One alternative to traditional therapies is Anthrozoology. Anthrozoology treats the interaction between people and animals, and it shows that animals can be a great contributor to human health and wellness. Purpose: The purpose of this study was to examine how people with mental health disorders experience owning a dog. Methods: The chosen design was qualitative, and the methods were interviews and observations of five informants with their dogs. The analysis was conducted with systematic text-condensation. Results: Four main categories emerged: 1. Increased social and physical activity. 2. Supporting relationship. 3. Increased responsibility. 4. Varied response from nurses. Conclusion: People suffering from mental health disorders experience a strong and healing attachment to their dogs. This can be explained by different theories. Nurses require knowledge of the dog's positive impact on people with mental health disorders.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".