Integrated care transitions: emergency to primary health care
Bibliographic record
Abstract
Purpose – The purpose of this paper is to focus on the Integrated Care Transitions Project between the emergency department (ED) of a university hospital and primary health care (PHC) services in a large city in Southern Brazil was the focus of this study. Care transitions occurred through telephone contact for patients discharged from the ED to PHC. Design/methodology/approach – This descriptive, exploratory qualitative research collected data via semi-structured interviews ( n =14) including interns of health disciplines, advisors for interns, nurses, and physicians from the ED and PHC Family Unit. A thematic analysis of the data were conducted. Findings – ED providers felt they gained increased knowledge of the care networks available for patients in the community. Connection between the providers in ED and PHC facilitated confidence in the services provided in the community and increased continuity of care for patients’ needs. The PHC providers recognized integration promoted communication and better care planning for patients discharged from ED. Integrated care made the work in the PHC easier and benefited the users. Research limitations/implications – The study evaluated a program available in one hospital. Generalizability may be limited as services in the ED were provided by professional residents and their advisors, not employees of the hospital. Practical implications – Shared information by different health services leads to better care for patients and greater job satisfaction for providers. Originality/value – Care transitions are not well-managed in health care; there is limited research focusing on care transitions from ED to community. For providers and patients, this program assisted in building capacity and networks for transitions in care.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".