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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 OpenAlexaff
Jane E. D. Cottrell, Monique Jonas, Ulrika Bergsten, Etienne Blaas, Jenny de la Torre-Aboki, Catriona Howse, Jana Korandová, Päivi Löfman, Carin Logtenberg, Terri Lupton, Catherine Mallon, Susan Oliver, David Pickles, Leeanna Bulinckx

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.

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)0.069
metaresearch head score (Gemma)0.098
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0690.098
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.004
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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

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 designQualitative
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

Citations17
Published2013
Admission routes1
Has abstractyes

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Same venueInternational Journal of Nursing KnowledgeSame topicRheumatoid Arthritis Research and TherapiesFrench-language works237,207