Perceptions of older adults in Ontario, Canada on the implementation and impact of a primary care programme, Health Teams Advancing Patient Experience: Strengthening Quality (Health TAPESTRY): a descriptive qualitative study
Bibliographic record
Abstract
OBJECTIVES: The aim of the study was to explore the perceptions of older adults on the implementation and impact of Health Teams Advancing Patient Experience: Strengthening Quality (Health TAPESTRY), a multicomponent primary care programme that seeks to improve care coordination for individuals through health-related goal-setting supported by trained lay volunteers who are an extension of an interprofessional team, and the use of technology to support communication among the team. DESIGN: This study used a qualitative descriptive design. SETTING: The setting for this study was two primary care practice sites located in a large urban area in Ontario, Canada. PARTICIPANTS: The sample consisted of community-dwelling older adults aged 70 years and older. Participants were recruited from a convenience sample obtained from 360 clients who participated in the 12-month Health TAPESTRY randomised controlled trial. METHODS: Semistructured interviews were conducted with 32 older adults either face-to-face or by telephone. Interviews were transcribed verbatim. Data were analysed using a constant comparative approach to develop themes. RESULTS: Older adults' perceptions about the Health TAPESTRY programme included (1) the lack of a clear purpose and understanding of how information was shared among providers, (2) mixed positive and negative perceptions of goal-setting and provider follow-up after inhome visits by volunteers, (3) positive impacts such as satisfaction with the primary care team, and (4) the potential for the programme to become a regular programme and applied to other communities and groups. CONCLUSIONS: Older adults living in the community may benefit from greater primary care support provided through enhanced team-based approaches. Programmes such as Health TAPESTRY facilitate opportunities for older adults to work with primary care providers to meet their self-identified needs. By exploring perceptions of clients, primary care programmes can be further refined and expanded for various populations.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".