Qualitative evaluation of primary care providers’ experiences caring for frequent users of the emergency department
Bibliographic record
Abstract
OBJECTIVES: Many interventions have been developed over the years to offer frequent users of the emergency department (FUEDs) better access to quality coordinated healthcare. Despite recognising the role primary care physicians (PCPs) play in FUEDs' care, to date their perceptions of case management, the most studied intervention, have rarely been assessed. Furthermore, a gap regarding PCPs' experience of caring for FUEDs persists. Thus, this study aimed to explore PCPs' perceptions of the care provided to FUEDs in emergency and primary care settings, their views on the local case management team (CMT), and their suggestions to improve FUEDs' care. DESIGN: Qualitative study using in-depth semistructured interviews and inductive thematic analysis. SETTING: Canton of Vaud, Switzerland. PARTICIPANTS: Thirty PCPs participated, 16 in private practice (PP-PCPs) and 14 based at the Lausanne University Centre of General Medicine and Public Health (Unisanté-U-PCPs). RESULTS: U-PCPs and PP-PCPs thought that most FUEDs' emergency department (ED) visits were legitimate, but questioned ED adequacy to meet FUEDs' needs. Yet, both PCP groups reported encountering many challenges in FUEDs' care themselves. In this context, PP-PCPs seemed more satisfied of the care they provided to FUEDs than U-PCPs. Generally, U-PCPs seemed to find more value in the CMT to help them care for FUEDs than PP-PCPs. To enhance FUEDs' care, U-PCPs and PP-PCPs suggested enhancing collaboration with other healthcare providers. U-PCPs also wished to increase their availability, and some PP-PCPs considered outpatient clinics, larger group practices or medical centres most appropriate to handle FUEDs' needs. CONCLUSIONS: This study highlights the many challenges PCPs face in caring for FUEDs, that a CM intervention has the potential to mitigate, and provides ways forward in improving FUEDs' care, including reinforced communication with the CMT and ED physicians, and structural changes to their own way of delivering care to FUEDs.
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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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".