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Place of the Advanced Practice Registered Nurse within the vascular team: a qualitative study of vascular medicine physicians and nurses caring for patients with peripheral artery disease

2022· article· en· W4306254384 on OpenAlexaff
Thibaut Kubiak, Jonas Sitruk, Lina Khider, Andréanne Durivage, Hélène Mortelette, Nassim Mohamedi, Grégoire Detriche, Emmanuel Messas, T. Mirault, Guillaume Goudot

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineFamily medicineThematic analysisNursingPsychosocialQualitative researchPsychiatry

Abstract

fetched live from OpenAlex

Abstract Introduction Advanced Practice Registered Nurses (APRNs) treat and diagnose diseases, counsel the public about health problems, manage chronic diseases, and participate in continuing education. In the cardiovascular field, Peripheral Arterial Disease (PAD), one of the manifestations of atherosclerotic cardiovascular disease, is archetypal in combining multiple cardiovascular risk factors (hypertension, hyperlipidemia, diabetes mellitus smoking). Vascular medicine faces the challenge of improving their care and quality of life, but some goals cannot be achieved with all patients. Patients with PAD should benefit from APRN care, but to date there is little published on the place of APRN in vascular medicine worldwide, and none in France. Objective It appeared important to us to assess the perception of their role by physicians and nurses in vascular medicine. As the status of APRN in France has only been enacted by law in 2018, we aim to investigate physicians and nurses working with patients suffering from PAD, to gather their opinions and draw the cooperation outlines these practitioners could have with an APRN. Methods Multicentre exploratory qualitative study by semi-directive interview conducted until data saturation and thematic analysis carried out with healthcare practitioners taking care of patients with PAD: 10 physicians working either in private practice setting or hospital setting or both, and 8 nurses in a vascular unit for hopsitalised patients. Results Three main themes emerged from responders' verbatims: a specific organization of vascular medicine with its inherent challenges, particularly regarding patients with PAD (specific psychosocial profile of patients, lack of therapeutic education, time, knowledge of non-specialist physicians, tedious follow-up outside hospitals, complex care trajectory, and lack of medical-surgical collaboration). Second, a role for APRN, particularly in consultation as part of patient follow-up, with expected benefits for the patient and the care team. The APRN is wanted to fill part of this gap. The expected benefits include a smoother care pathway and increased capacity for cardiovascular education and prevention, especially during consultations. Third, there are certain pitfalls that need to be clarified to integrate these new practitioners into the vascular teams already in place. In particular, the need to inform the vascular medicine teams about this new profession, and the indispensable presence of the conditions necessary for the development of a relationship of trust. Conclusion APRN could be the missing link in a Vascular team by creating a continuum in the care of patients with PAD, ensuring clinical assessment, nursing supervision, adverse event screening, and renewing drug prescriptions with the necessary adjustments, while ensuring an essential part of therapeutic education personalized to each PAD patient. Funding Acknowledgement Type of funding sources: None.

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)0.024
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.011
Scholarly communication0.0060.006
Open science0.0030.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.023
GPT teacher head0.319
Teacher spread0.296 · 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 designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
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