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Record W2085961803 · doi:10.5172/conu.2012.42.1.76

Building positive relationships in healthcare: Evaluation of the teams of interprofessional staff interprofessional education program

2012· article· en· W2085961803 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueContemporary Nurse · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCommunity Based Research CentreBruyèreUniversity of OttawaProfessional Engineers OntarioRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsInterprofessional educationNursingHealth careMedicineMedical educationPsychology

Abstract

fetched live from OpenAlex

The Teams of Interprofessional Staff (TIPS) project consisted of five healthcare teams from across Ontario, participating in three, two-day face-to-face interprofessional educational (IPE) sessions over an 8-month period. The purpose of TIPS was to explore whether interprofessional team development for practicing healthcare professionals, makes a difference in team functioning, team member satisfaction, ability to work effectively both individually and as a team, and improved patient well-being. A comprehensive formative and summative evaluation revealed that all teams perceived they benefitted from and engaged in successful team development. Success meant different things to each team reflecting the continuum of team development from building a safe, trusted group to becoming leaders of team development for other interprofessional teams. Effective teamwork is crucial to nurses who often take on the role of coordinator of care on a day-to-day basis, or are in managerial roles in interprofessional clinics or clinical program teams.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.483
Teacher spread0.409 · 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