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Record W2149584355 · doi:10.1093/ejcts/ezt254

Out-of-hours intensive care unit cover by nurse practitioners: does this have a detrimental effect towards critical care exposure to the cardiothoracic trainee?

2013· letter· en· W2149584355 on OpenAlexaboutno aff
Vibha Joshi

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2013
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsDirectiveSpecialtyIntensive care unitMedicineNursingIntensive careEuropean unionUnit (ring theory)Medical educationPsychologyFamily medicineBusinessIntensive care medicine

Abstract

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The article by Skinner et al. in the January issue highlights the value of utilizing advanced care nurse practitioners (ACNP) in the intensive care unit (ICU) setting based on their experience in Nottingham, UK. Their use in out-of-hours cover for ICU frees up the junior doctor from resident on-call commitment. This provides a good solution for problems encountered with organizing junior doctors' rotas with the European Working Time Directive (EWTD) in place [1]. Criticisms of the implementation of such a system are the detrimental effect it will have on the degree of ICU exposure to cardiothoracic trainees and poor efficacy in other European countries. In the same issue, Markewitz [2] emphasizes a loss of experience, competencies as well as insights into the importance of critical-care training as a cardiothoracic surgeon. I would debate that the implementation of out-of-hours cover by ACNP does not have such a negative effect. Competency-based learning has been clearly shown to have educational merit [3]. Current trainees in cardiothoracic surgery in the UK are required to attain such competencies related to the specialty in order to progress. Additionally, trainees are formally examined towards the end of their training. Critical care is a component of both. Sádaba et al. surveyed trainees in various countries within the European Union. He has highlighted variability in the structure of cardiothoracic training among various countries. Outside the UK, very little, if not any, emphasis is placed on regular evaluations to elicit competency, nor is the completion of an exit examination compulsory [4]. Without the implementation of a structured training curriculum, there is no way to ensure trainees are attaining competencies in all the necessary components of a specialty. Markewitz also postulates that reduced exposure with regard to actual time spent on ICU may reflect negatively on a trainee's experience. Thus, the cardiothoracic trainee may not be competent to manage ICU patients who frequently have complex multiorgan pathologies [2]. Schijven et al. [5] examined and objectively compared practice-ready surgeons from Canada and the Netherlands. The latter group underperformed in examinations focusing on managing patients with complex problems. This was presumed to be due to the difference in working hours between the two countries (80 vs 48 h). However, no evidence is provided to demonstrate homogeneity between the training curriculum and educational opportunities for trainees within the two countries. Skinner et al. emphasize that junior doctors are contacted when escalation of patient care is needed, ensuring they are kept in the loop when important decisions need to be made [1]. Thus, the trainee can still achieve competencies while working in a centre that is EWTD compliant. I must disclose that I am currently a cardiothoracic trainee rotating through Nottingham. This, I feel, gives me good insights into training in a centre with a strongly implemented ACNP programme. It seems illogical to presume a loss of critical-care training in the presence of a structured and curriculum-based programme. In countries that do not possess such a training structure, this may be in fact the fundamental issue that needs addressing. Conflict of interest: The author is currently a trainee in cardiothoracic surgery rotating through the Trent Cardiac Centre. This is the same centre where the article by Skinner et al. is based.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.079
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0020.001
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.027
GPT teacher head0.320
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

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".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

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