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Record W2171665308 · doi:10.1017/s0714980809090060

Nurse Practitioner and Physician Collaboration in Long-Term Care Homes: Survey Results

2009· article· fr· W2171665308 on OpenAlexaffabout
Faith Donald, E. Ann Mohide, Alba DiCenso, Kevin Brazil, Michael Stephenson, Noori Akhtar‐Danesh

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2009
Typearticle
Languagefr
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsMcMaster UniversityToronto Metropolitan University
Fundersnot available
KeywordsFamily medicineNurse practitionersMedicineNursingPatient satisfactionPhysician assistantsHealth care

Abstract

fetched live from OpenAlex

This survey assessed the extent of and satisfaction with collaboration between physicians and nurse practitioners (NPs) working in Ontario long-term care homes. Questionnaires, which included the Measure of Current Collaboration and Provider Satisfaction with Current Collaboration instruments, were mailed to NPs and physicians with whom the NP most frequently worked. The 14 matched-pairs of NPs and physicians reported similar levels of collaboration; however, physicians were significantly more satisfied with collaboration than were NPs (z = -2.67, p = 0.008). The majority of physicians (85%) and NPs (86%) indicated that collaboration was occurring, and 96 per cent of physicians and 79 per cent of NPs were satisfied with their collaboration. About one third of physicians reported that the NP had a negative effect on their income, but their satisfaction with collaboration did not differ from those who reported a positive effect. Overall, these physicians and NPs collaborate in delivering care and are satisfied with their 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.018
GPT teacher head0.327
Teacher spread0.309 · 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 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

Citations38
Published2009
Admission routes2
Has abstractyes

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