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Record W2945175743 · doi:10.1002/acr2.1032

Confidence and Attitudes Toward Osteoarthritis Care Among the Current and Emerging Health Workforce: A Multinational Interprofessional Study

2019· article· en· W2945175743 on OpenAlexaffabout
Andrew M. Briggs, Rana S. Hinman, Ben Darlow, Kim L. Bennell, Michelle Leech, Tania Pizzari, Alison Greig, Crystal MacKay, A. Bendrups, Peter Larmer, Alison Francis‐Cracknell, Elizabeth Houlding, Lucy Desmond, Joanne M. Jordan, Novia Minaee, Helen Slater

Bibliographic record

VenueACR Open Rheumatology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of OttawaToronto Rehabilitation InstituteUniversity Health NetworkUniversity of British Columbia
FundersNational Health and Medical Research CouncilCurtin University of TechnologyRoyal Australian College of General PractitionersAustralian Physiotherapy AssociationPhysiotherapy New Zealand
KeywordsWorkforceMedicineConfidence intervalScale (ratio)Physical therapyHealth careInterprofessional educationNursingFamily medicineMultinational corporationCross-sectional studyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To measure confidence and attitudes of the current and emerging interprofessional workforce concerning osteoarthritis (OA) care. METHODS: Study design is a multinational (Australia, New Zealand, Canada) cross-sectional survey of clinicians (general practitioners [GPs], GP registrars, primary care nurses, and physiotherapists) and final-year medical and physiotherapy students. GPs and GP registrars were only sampled in Australia/New Zealand and Australia, respectively. The study outcomes are as follows: confidence in OA knowledge and skills (customized instrument), biomedical attitudes to care (Pain Attitudes Beliefs Scale [PABS]), attitudes toward high- and low-value care (customized items), attitudes toward exercise/physical activity (free-text responses). RESULTS: A total of 1886 clinicians and 1161 students responded. Although a number of interprofessional differences were identified, confidence in OA knowledge and skills was consistently greatest among physiotherapists and lowest among nurses (eg, the mean difference [95% confidence interval (CI)] for physiotherapist-nurse analyses were 9.3 [7.7-10.9] for knowledge [scale: 11-55] and 14.6 [12.3-17.0] for skills [scale: 16-80]). Similarly, biomedical attitudes were stronger in nurses compared with physiotherapists (6.9 [5.3-8.4]; scale 10-60) and in medical students compared with physiotherapy students (2.0 [1.3-2.7]). Some clinicians and students agreed that people with OA will ultimately require total joint replacement (7%-19% and 19%-22%, respectively), that arthroscopy is an appropriate intervention for knee OA (18%-36% and 35%-44%), and that magnetic resonance imaging is informative for diagnosis and clinical management of hip/knee OA (8%-61% and 21%-52%). Most agreed (90%-98% and 92%-97%) that exercise is indicated and strongly supported by qualitative data. CONCLUSION: Workforce capacity building that de-emphasizes biomedical management and promotes high-value first-line care options is needed. Knowledge and skills among physiotherapists support leadership roles in OA care for this discipline.

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)0.007
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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.464
Teacher spread0.429 · 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".

Quick stats

Citations52
Published2019
Admission routes2
Has abstractyes

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