Elucidating the information exchange during interfacility care transitions: Insights from a Qualitative Study
Bibliographic record
Abstract
OBJECTIVE: To explore the perceptions of patients, their caregivers and healthcare professionals associated with the exchange of information during transitioning from two acute care hospitals to one rehabilitation hospital. DESIGN: An exploratory qualitative study using semi-structured interviews and observation. PARTICIPANTS AND SETTING: Patients over the age of 65 years admitted to an orthopaedic unit for a non-elective admission, their caregivers and healthcare professionals involved in their care. Participating sites included orthopaedic inpatient units from two acute care teaching hospitals and one orthopaedic unit at a rehabilitation hospital in an urban setting. FINDINGS: Three distinct themes emerged from participants' narrative of their transitional care experience: (1) having no clue what the care plan is, (2) being told and notified about the plan and (3) experiencing challenges absorbing information. Participating patients and their caregivers reported not being engaged in an active discussion with healthcare professionals about their care transition plan. Several healthcare professionals described withholding information within the plan until they themselves were clear about the transition outcomes. CONCLUSION: This study highlights the need to increase efforts to ensure that effective information exchanges occur during transition from acute care hospital to rehabilitation settings.
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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 | 0.025 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".