Experiences and effectiveness of canine-assisted interventions on the health and well-being of older people residing in long-term care
Bibliographic record
Abstract
OBJECTIVE: The objective of this review is to synthesize and integrate the best available evidence on the impact of canine-assisted interventions on the health and well-being of older people residing in long-term care. INTRODUCTION: Canine-assisted interventions are commonly used as an adjunct therapy to enhance health and well-being, and are often implemented in long-term care facilities. The number of studies undertaken in this area has increased substantially over the previous five years; therefore, an update of two previous systematic reviews is warranted. INCLUSION CRITERIA: This review will consider older people who reside in long-term care facilities and who receive canine-assisted interventions. For the quantitative component, canine-assisted interventions will be compared to usual care, alternative therapeutic interventions, or no interventions, and outcomes will be grouped under the following headings: biological, psychological, and social. For the qualitative component, the experiences of older people receiving canine-assisted interventions, as well as the views of people directly or indirectly involved in delivering canine-assisted interventions, will be explored. Quantitative, qualitative, and mixed methods studies published from 2009 to the present will be considered. METHODS: A search of 10 bibliographic databases and other resources for published and unpublished English language studies will be undertaken. Study selection, critical appraisal, data extraction, and data synthesis will be undertaken by two independent reviewers following the segregated JBI approach to mixed methods reviews. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020161235.
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 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 | 0.011 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".