Health care transitions for persons living with dementia and their caregivers
Bibliographic record
Abstract
BACKGROUND: Persons with dementia are likely to require care from various health care providers in multiple care settings, necessitating navigation through an often-fragmented care system. This study aimed to create a better understanding of care transition experiences from the perspectives of persons living with dementia and their caregivers in Ontario, Canada, through the development of a theoretical framework. METHODS: Constructivist grounded theory guided the study. Seventeen individual caregiver interviews, and 12 dyad interviews including persons with dementia and their caregivers, were recorded and transcribed verbatim. The data were coded using NVivo 10 software; analysis occurred iteratively until saturation was reached. RESULTS: A theoretical framework outlining the context, processes, and influencing factors of care transitions was developed and refined. Gaining an in-depth understanding of the complex care transitions of individuals with dementia and their caregivers is an important step in improving the quality of care and life for this population. CONCLUSION: The framework developed in this study provides a focal point for efforts to improve the health care transitions of persons living with dementia.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".