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Interdisciplinary Family Intervention Program

2007· article· en· W2326450360 on OpenAlexaff
Hélène Lefebvre, Diane Pelchat, Marie‐Josée Levert

Bibliographic record

VenueJournal of Trauma Nursing · 2007
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsHEC MontréalUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsIntervention (counseling)General partnershipPsychologyTraumatic brain injuryQualitative researchNursingMedicineHealth careClinical psychologyMedical educationPsychiatry

Abstract

fetched live from OpenAlex

Throughout the delivery of care after traumatic brain injury, the type of relationship that develops between the family and the professionals has a major effect on the day-by-day adjustment of traumatic brain injury individuals and their relatives. Seventeen health professionals from different disciplines working with the traumatic brain injury clientele at different stages of the continuum of trauma care underwent training in the form of e-learning to apply the Interdisciplinary Family Intervention Program, or PRIFAM. The study methodology was mixed: participants' evaluation of the PRIFAM training was assessed through a quantitative questionnaire, whereas their experience and learning were documented in semiguided, qualitative interviews conducted before and after training. The results show that the training stimulated personal and professional reflective thought in participants and fostered the forging of an interdisciplinary partnership. The training had a positive impact on communication between professionals and with the families and helped to develop a sense of self-efficacy among health professionals.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.927
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.107
GPT teacher head0.506
Teacher spread0.399 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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".

Quick stats

Citations30
Published2007
Admission routes1
Has abstractyes

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