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The Nurse's Role in Addressing Unmet Treatment and Management Needs of Patients With Rheumatoid Arthritis: Delphi-Based Recommendations

2013· article· en· W1756803464 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.

Bibliographic record

VenueInternational Journal of Nursing Knowledge · 2013
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsResearch CanadaUniversity of AlbertaUniversity of CalgaryArthritis Research Centre of Canada
FundersMerck Sharp and Dohme
KeywordsMedicineRheumatoid arthritisNursingMultidisciplinary approachNursing practiceFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Evaluate nurse's role in management of patients with rheumatoid arthritis (RA). METHODS: Modified Delphi with two rounds of questionnaires, followed by in-person meeting. International group of 12 nurses experienced with RA patients receiving biologic therapy. FINDINGS: Nurses often spend more time with patients than doctors do. Nurse is in unique position to explore patient needs; educate about treatment, administration, product storage, and self-injection technique; determine readiness for and understanding of treatment; monitor safety and progress; and coordinate care within multidisciplinary setting. CONCLUSIONS: Nurse's role is complex and vitally important to optimal RA patient care. Additional nurse involvement may address unmet needs. IMPLICATIONS FOR NURSING PRACTICE: Rheumatology nurses can address unmet patient needs by expanding current roles and by adopting additional functions.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.320
Teacher spread0.300 · 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