Clinicians’ views on improving inter-organizational care transitions
Bibliographic record
Abstract
BACKGROUND: Patients with complex health conditions frequently require care from multiple providers and are particularly vulnerable to poorly executed transitions from one healthcare setting to another. Poorly executed care transitions can result in negative patient outcomes (e.g. medication errors, delays in treatment) and increased healthcare spending due to re-hospitalization or emergency room visits by patients. Little is known about care transitions from acute care to complex continuing care and rehabilitation settings. Thus, a qualitative study was undertaken to explore clinicians' perceptions of strategies aimed at improving patient care transitions from acute care hospitals to complex continuing care and rehabilitation healthcare organizations. METHODS: A qualitative study using semi-structured interviews was conducted with clinicians employed at two selected healthcare facilities: an acute care hospital and a complex continuing care/rehabilitation organization, respectively. Analysis of the transcripts involved the creation of a coding schema using the content analyses outlined by Ryan and Bernard. In total, 31 interviews were conducted with clinicians at the participating study sites. RESULTS: Three themes emerged from the data to delineate what study participants described as strategies to ensure quality inter-organizational transitions of patients transferred from acute care to the complex continuing care and rehabilitation hospital. These themes are: 1) communicating more effectively; 2) being vigilant around the patients' readiness for transfer and care needs; and 3) documenting more accurately and completely in the patient transfer record. CONCLUSION: Our study provides insights from the perspectives of multiple clinicians that have important implications for health care leaders and clinicians in their efforts to enhance inter-organizational care transitions. Of particular importance is the need to have a collective and collaborative approach amongst clinicians during the inter-organizational care transition process. Study findings also suggest that the written patient transfer record needs to be augmented with a verbal report whereby the receiving clinician has an opportunity to discuss with a clinician from the acute care hospital the patient's status on discharge and plan of care. Integral to future research efforts is designing and testing out interventions to optimize inter-organizational care transitions and feedback loops for complex medical patients.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".