Psychoeducational Interventions for Family Caregivers of Seniors across Their Life Trajectory: An Evidence-Based Research Program to Inform Clinical Practice
Bibliographic record
Abstract
Family caregivers of the elderly are growing in number and the care they are called upon to deliver in industrialized countries is becoming increasingly demanding and complex. Empirical research shows that the caregiving situation can have a significant impact on the health of these caregivers often on account of stress, physical and psychological exhaustion, and a sense of being overwhelmed. In this context, the quality of life of these caregivers depends in large part on professional educational and support interventions. The purpose of this paper is to present three innovative psychoeducational intervention programs developed and empirically tested by the research team of the Université de Montréal’s (Québec, Canada) Chair in Nursing Care for Seniors and Their Families over the past fifteen years. These interventions have been developed together with family caregivers experiencing different stressful situations across their care trajectory. The results of evaluative studies of these programs provide evidence to inform professional clinical practice. Future directions for caregiving research are discussed.
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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 | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".