Helping networks in community home care for the elderly: types of team.
Bibliographic record
Abstract
Changes in the delivery of health care have led to a shift in the location of care from the institution to the community. This has resulted in a need to re-examine current models of health-care practice in terms of their applicability and relevance to the community setting. The purpose of this study was to determine the relevance of traditional models of multidisciplinary teams by examining interrelationships amongst community-dwelling seniors with arthritis, their families, and health and community service providers (HCSPs). In-depth interviews or focus groups were conducted with clients, family members, and HCSPs. Participants described 4 different types of interaction within the helping network, with no interaction whatsoever being the most common except for with the seniors themselves. Three types of team emerged: client-centred, case manager-centred, and discipline-specific. No evidence of formal collaborative interdisciplinary teams was found, with HCSPs most valuing the discipline-specific model.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".