An interprofessional approach to shared decision making: an exploratory case study with family caregivers of one IP home care team
Bibliographic record
Abstract
BACKGROUND: Within the context of an exploratory case study, the authors assessed the perceptions of family caregivers about the decision-making process regarding relocating their relative and about the applicability of an interprofessional approach to shared decision making (IP-SDM). They also assessed perceptions of health professionals and health managers about IP-SDM. METHODS: From November 2010 to October 2011, we worked with one IP home care team dedicated to older adults (the case) from a large primary health care organization in Quebec City, Canada. We identified six of their clients who had faced a decision about whether to stay at home or move to a long-term care facility in the past year and interviewed their family caregivers. We explored the decision-making process they had experienced regarding relocating their relative and their perceptions about the applicability of IP-SDM in this context. Attitudes towards IP-SDM and potential barriers to this approach were explored using a focus group with the participating IP home care team, individual interviews with 8 managers and a survey of 272 health professionals from the primary care organization. A hybrid process of inductive and deductive thematic analysis was used and data were triangulated across all sources. RESULTS: Family caregivers reported lack of agreement on the nature of the decision to be made, a disconnection between home care services and relatives' needs, and high cost of long-term care alternatives. Factors influencing their decision included their ability to provide care for their relative. While they felt somewhat supported by the IP home care team, they also felt pressured in the decision. Overall, they did not perceive they had been exposed to IP-SDM but agreed that it was applicable in this context. Results from the survey, focus group and interviews with health professionals and managers indicated they all had a favourable attitude towards IP-SDM but many barriers hampered its implementation in their practice. CONCLUSIONS: The family caregivers in this study did not experience IP-SDM when relocating their relative. Added to results obtained with health professionals and managers, this highlights the need for an effective intervention targeting identified barriers to implementing IP-SDM in this context.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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".