Bibliographic record
Abstract
For adults with severe mental illness there are serious issues with poor transitions of care. There are many types of transitions that patients experience that can negatively affect continuity of care. These transitions can also compound a patient's illness. The focus within the limits of this project is on care setting transitions from acute to primary care. The point of discharge from acute psychiatric care to primary care is a critical time in the care continuum, and it should be treated with the utmost importance. The purpose of this integrative review is to examine evidence based practices and processes in order to identify ways to facilitate seamless transitions and continuity of care for mentally ill adults discharged from acute psychiatric care to primary care. Further, to offer recommendations for Family Nurse Practitioners practicing in primary care in Canada. Background information on severe mental illness, care transitions, and a case example are presented along with an overview of primary care. A comprehensive search strategy identified 17 relevant studies. Four key findings underline the importance of confidentiality, linkage between acute and primary care, communication, and therapeutic relationships. The recommendations offered are directed to the FNP in primary care, but are relevant to many healthcare providers. They may also be helpful in other settings, such as acute psychiatric care or community mental health. --Leaf ii.
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 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".