MétaCan
Menu
Back to cohort

P036 Missing vital steps: why does my rheumatology team never speak to me about exercise?

2024· article· en· W4395077137 on OpenAlexaff
Ailsa M Bosworth, William J Gregory

Bibliographic record

VenueLara D. Veeken · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsArthritis Society
Fundersnot available
KeywordsMedicineRheumatologyInternal medicinePhysical therapyPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Abstract Background/Aims UK Rheumatology services are stretched. Rollout of Patient Initiated Follow Up and pressure on job plans/clinic templates mean people with inflammatory arthritis (IA) may spend less time with their rheumatology team. An important but insufficient aspect of care in people with IA is empowering them to acquire good understanding of their disease and building their ability to deal effectively with the practical, physical and psychological impacts of it. Ability to self-manage in IA represents an essential component of care beyond drug therapy, but barriers to implementation of education in self-management exist. Surveys show that rheumatology Healthcare Practitioners (HCPs) don’t know how best to support patients becoming more physically active. Research demonstrates that people with IA have multiple barriers to undertaking regular physical activity (PA) or exercise, including physical limitations, reduced mobility, fatigue, also lack of confidence and not knowing what to do, fear of embarrassment, injury or making symptoms worse, a lack of professional input, advice and resources, inaccessible facilities and financial costs. Methods To address these issues in those living with IA, the National Rheumatoid Arthritis Society (NRAS) collaborated with experts in PA and exercise to create a module on this topic to include in their e-Learning programme, SMILE-RA. The module included: • science behind the research in lay terms • role of physiotherapists (both specialist rheumatology physios and community-based physios) • barriers and facilitators to exercising • goal setting • types of exercise • stories from people with RA inspired by exercise NRAS wanted to provide free resources for people to use who may struggle with exercise due to loss of mobility/function who may lack confidence to exercise. In addition to the online learning, NRAS approached experts in different exercise and PA fields, some of whom had RA themselves, to provide supplemental 15-minute video sessions to run alongside the module. Results The Module launched end of June 2023 with five 15 minute ‘taster’ videos on different forms of exercise appropriately adapted for a broad spectrum of people with IA. These taster sessions can be done safely, seated or standing, and used as ad hoc routines or as regular daily workout, increasing the repetitions as strength and ability increases. Over 3,500 people are registered to SMILE-RA, and, amongst other beneficial results, a survey has shown that 84% of users would recommend SMILE to another person. An HCP, in recommending this resource to colleagues, stated that this exercise module “will revolutionise your consults on exercise in RA.” Conclusion The “PA and Exercise” module can be used to support busy rheumatology professionals by recommending this free resource to their patients and in educating themselves to gain confidence in how to advise patients in this crucial and often overlooked area. Disclosure A.M. Bosworth: None. W.J. Gregory: Honoraria; W.G. has received honoraria for speakers and advisory board roles from Abbive, Novartis, Pfizer and UCB.

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)0.024
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0350.008

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 head0.007
GPT teacher head0.274
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 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueLara D. VeekenSame topicMusculoskeletal Disorders and RehabilitationFrench-language works237,207