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Record W4239556844 · doi:10.32920/ryerson.14668815.v1

Nursing informatics and coaching based interventions: a protocol for delivery

2021· preprint· en· W4239556844 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCoachingPsychological interventionProtocol (science)Intervention (counseling)InformaticsProcess (computing)NursingHealth informaticsMedicineNursing Interventions ClassificationMedical educationPsychologyKnowledge managementProcess managementComputer scienceEngineeringAlternative medicinePsychotherapist

Abstract

fetched live from OpenAlex

Coaching is a motivational approach often used to encourage the implementation of self-management educational instruction. It encompasses the processing, management, and retrieval of information. Coaching is not a common interaction routinely used in nursing care. This may be due to unfamiliarity with the interaction and/or lack of understanding of how to engage in coaching behaviours within the clinical setting. The purpose of this discursive paper was to present a detailed, step-by-step description of a protocol for delivering a coaching based intervention to patients following heart surgery and to discuss the process of delivering such interventions via nursing informatics. Conclusions drawn from this paper suggest that in order to enhance the application of technology in the delivery of coaching or support based interactions in the cardiovascular surgical environment, continued investigation to assess patients’ needs for technology and desirability to use technology as a tool to assist in their post-operative recovery experience is needed.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.962
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.201
GPT teacher head0.515
Teacher spread0.313 · 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

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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