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Record W2050073371 · doi:10.1136/ebn.12.3.77

Community-based multidisciplinary screening and intervention by pharmacists and nurses reduced BP in diabetesCommentary

2009· letter· en· W2050073371 on OpenAlexaboutno aff
Judith Carrier

Bibliographic record

VenueEvidence-Based Nursing · 2009
Typeletter
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBlindingDiabetes mellitusIntervention (counseling)PharmacistPharmacyBlood pressureFamily medicineReceiptRandomized controlled trialMultidisciplinary approachPhysical therapyEmergency medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

Does a multidisciplinary screening and intervention programme by pharmacists and nurses reduce blood pressure (BP) in patients with diabetes and suboptimal BP control? ### Design: randomised controlled trial (SCRIP-Hypertension [SCRIP-HTN]). ClinicalTrials.gov NCT00374270. ### Allocation: concealed. ### Blinding: blinded {data analysts}.* ### Follow-up period: 24 weeks. ### Setting: 14 community pharmacies in Alberta, Canada. ### Patients: 227 patients (mean age 65 y, 60% men) with diabetes and BP >130/80 mm Hg on 2 screening visits 2 weeks apart. Exclusion criteria included current enrolment in other diabetes or hypertension trials, institutionalisation, and receipt of medication from a professional caregiver. ### Intervention: enhanced care (n = 115) or usual care (n = 112). Patients in the enhanced care group were assessed by a pharmacist–nurse team and …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.004
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 head0.179
GPT teacher head0.446
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2009
Admission routes1
Has abstractyes

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