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Record W4285809831 · doi:10.2147/jmdh.s381248

A Response to: Efficacy of the Use of the Calgary Family Intervention Model in Bedside Nursing Education: A Systematic Review [Letter]

2022· review· en· W4285809831 on OpenAlexaboutno aff
Siang Br Tarigan, I Ketut Andika Priastana

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2022
Typereview
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)MedicineNursingAlternative medicinePsychologyMedical educationPathology

Abstract

fetched live from OpenAlex

of this systematic review followed the Kruse Protocol for conducting a systematic review and reported results by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The goal of this review was to objectively analyze the research for empirical evidence of the efficacy of the use of the Calgary Family Intervention Model (CFIM) in assisting bedside education by nurses and to identify facilitators and barriers to the use of the Model. This protocol has not been listed in a prospectively listed international systematic review database. It is recommended that the protocol be registered in the PROSPERO database for peer review and to reduce unnecessary duplication of efforts among researchers. If a review protocol has been registered, it must be indicated where it can be accessed by providing a registration number and website address or using someone else's protocol. PROSPERO is an international database of prospectively registered systematic reviews in the health and social fields. The main features of the review protocol are recorded and maintained as permanent records. Systematic reviews should be enrolled early (that is, at the protocol stage) to help avoid unplanned duplication and to allow comparison of the review methods reported with those planned in the protocol. t the article selection process stage, there are difficulties for readers to understand the PRISMA diagram shown. At the screening stage, the reasons for releasing 106 articles from 135 articles have not been explained. Meanwhile, in this section, there is also a selection based on full text, which has a different section from the selection process above. The author needs to explain this so that the screening carried out guarantees the selected articles according to standards.

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 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)0.004
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
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 head0.307
GPT teacher head0.502
Teacher spread0.195 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueJournal of Multidisciplinary HealthcareSame topicFamily and Patient Care in Intensive Care UnitsFrench-language works237,207