Peripheral intravenous cannulation decision-making in emergency settings: a qualitative descriptive study
Bibliographic record
Abstract
Objectives Rates of unused ( ‘ idle’) peripheral intravenous catheters (PIVCs) are high but can vary per setting. Understanding factors that influence the decision-making of doctors, nurses and paramedics in the emergency setting regarding PIVC insertion, and what factors may modify their decision is essential to identify opportunities to reduce unnecessary cannulations and improve patient-centred outcomes. This study aimed to understand factors associated with clinicians’ decision-making on whether to insert or use a PIVC in the emergency care setting. Design A qualitative descriptive study using in-depth semistructured interviews and thematic analysis. Setting Gold Coast, Queensland, Australia, in a large tertiary level emergency department (ED) and local government ambulance service. Participants Participants recruited were ED clinicians (doctors, nurses) and paramedics who regularly insert PIVCs. Results From the 15 clinicians interviewed 4 key themes: knowledge and experience, complicated and multifactorial , convenience, anticipated patient clinical course, and several subthemes emerged relating to clinician decision-making across all disciplines. The first two themes focused on decision-making to gather data and evidence, such as knowledge and experience , and decisions being complicated and multifactorial . The remaining two themes related to the actions clinicians took such as convenience and anticipated patient clinical course . Conclusion The decision to insert a PIVC is more complicated than clinicians, administrators and policy-makers may realise. When explored, clinician decisions were multifaceted with many factors influencing the decision to insert a PIVC. In actual practice, clinicians routinely insert PIVCs in most patients as a learnt reflex with little cognitive input. When considering PIVC insertion, more time needs to be devoted to the awareness of: (1) decision-making in the context of the clinician’s own experience, (2) cognitive biases and (3) patient-centred factors. Such awareness will support an appropriate risk assessment which will benefit the patient, clinician and healthcare system.
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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 | 0.015 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".