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068 Asking the right questions? Rheumatoid arthritis patients’ views on rheumatology consultations: results of an online survey

2019· article· en· W2935954541 on OpenAlexaff
James Dale, Suzanne Clements, K D, Jing‐Long Huang, Shairyzah Ahmad Hisham, Laura Connell, Clare Jacklin, Ailsa Bosworth

Bibliographic record

VenueLara D. Veeken · 2019
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsArthritis Society
Fundersnot available
KeywordsMedicineRheumatoid arthritisRheumatologyInternal medicinePhysical therapyFamily medicine

Abstract

fetched live from OpenAlex

Background: Intensive, goal-driven treatment of rheumatoid arthritis (RA) has led to improved disease activity outcomes. However, focusing on abrogation of inflammation may lead to other important issues being overlooked. We conducted an online study of RA patients to find out their views on which issues were being addressed during rheumatology consultations. Methods: An online survey of patients’ views was devised with input from consultant rheumatologists, representatives of the National Rheumatoid Arthritis Society (NRAS) and a small focus group of RA patients. The survey asked questions about which factors were most likely to be discussed and examined during rheumatology clinic appointments; their and their rheumatologist’s awareness of treatment goals and whether rheumatology appointments covered all of the issues that they considered important. The survey was distributed by NRAS by email and social media and results were interpreted with further assistance from NRAS and the patient focus group. Results: There were 1,287 respondents; 86% female, median age 62 years (IQR 54-69), median duration 10 years (IQR 5-18). 89% appointments were with a consultant rheumatologist or specialist nurse and most lasted between 6-20 minutes. Patients were asked about things that mattered to them most (40%) and all the time (24%) and these matters were often prioritised most (42%) or all the time (20%). Rheumatologists seemed most interested in asking about symptoms of pain, stiffness, swelling and medication rather than symptoms of fatigue, mood, work, functional ability or family life/sexuality. Joint examinations were reported most/all the time in 81% of appointments, usually for tender or swollen joints. 65% respondents were aware of disease activity scores being calculated and 50% were informed of the result most/all the time. 58% respondents felt their RA was adequately assessed. Respondents reported universally low scores for how well their ability to self-care, mobilise, work, exercise, relationships and mood were assessed. 57% respondents had never discussed disease activity goals and 74% had not discussed their personal goals with their rheumatologist. Conclusion: Patients report that rheumatology appointments appear focused on assessing signs and symptoms of inflammation. However, there may be an important unmet need to address other factors since treatment and personal goals are discussed in the minority of appointments and patients report that non-articular symptoms are infrequently and poorly assessed. Disclosures: J. Dale: Grants/research support; NHS Lanarkshire, NHS Research Scotland. Other; Abbvie. S. Clements: None. K. D: None. H. L: None. A. S: None. L. Connell: None. C. Jacklin: None. A. Bosworth: None.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.303
Teacher spread0.272 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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