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Record W2129630011 · doi:10.1186/1471-2296-11-74

WestREN: a description of an Irish academic general practice research network

2010· article· en· W2129630011 on OpenAlexaboutno aff
Kimberley Kavanagh, Niamh O’Brien, Liam Glynn, Akke Vellinga, Andrew W. Murphy

Bibliographic record

VenueBMC Family Practice · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
FundersUniversity of Galway
KeywordsMedicineIrishQuarter (Canadian coin)General practiceResidenceCoding (social sciences)Nurse practitionersFamily medicineNursingMedical educationHealth care

Abstract

fetched live from OpenAlex

BACKGROUND: Primary care research networks have been established internationally since the 1960s to enable diverse practitioners to engage in and develop research and education and implement research evidence.The newly established Western Research and Education Network (WestREN) is one such network consisting of a collaboration between the Discipline of General Practice at NUI Galway and 71 West of Ireland general practices. In September 2009 all member practices were issued with a questionnaire with two objectives: to describe the structure and characteristics of the member practices and to compare the results to the national profile of Irish general practice. METHODS: A postal survey was used followed by one written and one email reminder. RESULTS: A response rate of 73% (52/71) was achieved after two reminders.Half of practices were in a rural location, one quarter located in an urban setting and another quarter in a mixed location.Ninety-four per cent of general practitioners practice from purpose-built or adapted premises with under 6% of practices being attached to the general practitioner's residence. Over 96% of general practitioners use appointment systems with 58% using appointment only.All practices surveyed were computerised, with 80% describing their practices as 'fully computerised'. Almost 60% of general practitioners are coding chronic diagnoses with 20% coding individual consultations. Twenty-five per cent of general practitioners were single-handed with the majority of practices having at least two general practitioners, and a mean number of general practitioners of 2.4. Ninety-two per cent of practices employed a practice nurse with 30% employing more than one nurse.Compared to the national profile, WestREN practices appear somewhat larger, and more likely to be purpose-built and in rural areas. National trends apparent between 1982 and 1992, such as increasing computerisation and practice nurse availability, appear to be continuing. CONCLUSIONS: WestREN is a new university-affiliated general practice research network in Ireland. Survey of its initial membership confirms WestREN practices to be broadly representative of the national profile and has provided us with valuable information on the current and changing structure of Irish general practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0030.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0540.024

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 head0.312
GPT teacher head0.558
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations33
Published2010
Admission routes1
Has abstractyes

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