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Record W2104692183

Interprofessional collaboration in family health teams: An Ontario-based study.

2010· article· en· W2104692183 on OpenAlexaffabout
Joanne Goldman, Jamie Meuser, Jess Rogers, Lynne Lawrie, Scott Reeves

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThematic analysisInterprofessional educationNursingQualitative researchMedicineHealth carePsychological interventionPerceptionMedical educationSpace (punctuation)PsychologyComputer scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine family health team (FHT) members' perspectives and experiences of interprofessional collaboration and perceived benefits. DESIGN: Qualitative case study using semistructured interviews. SETTING: Fourteen FHTs in urban and rural Ontario. PARTICIPANTS: Purposeful sample of the members of 14 FHTs, including family physicians, nurse practitioners, nurses, dietitians, social workers, pharmacists, and managers. METHODS: A multiple case-study approach involving 14 FHTs was employed. Thirty-two semistructured interviews were conducted and data were analyzed by employing an inductive thematic approach. A member-checking technique was also undertaken to enhance the validity of the findings. MAIN FINDINGS: Five main themes are reported: rethinking traditional roles and scopes of practice, management and leadership, time and space, interprofessional initiatives, and early perceptions of collaborative care. CONCLUSION: This study shows the importance of issues such as roles and scopes of practice, leadership, and space to effective team-based primary care, and provides a framework for understanding different types of interprofessional interventions used to support interprofessional collaboration.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.421
Teacher spread0.388 · 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 designObservational
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

Citations108
Published2010
Admission routes2
Has abstractyes

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