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Record W4379347458 · doi:10.1017/cjn.2023.133

P.029 Relevance and home completion rate of patient reported outcome measures set in chronic inflammatory neuropathies

2023· article· en· W4379347458 on OpenAlexaffvenue
Emmanuel Ogalo, Geoffrey B. Smith, Maureen C. Ashe, K Beadon, Karen Chapman

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2023
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsVancouver Biotech (Canada)
Fundersnot available
KeywordsPatient-reported outcomeMedicineClinical significanceQuality of life (healthcare)Physical therapyMEDLINEInternal medicineNursing

Abstract

fetched live from OpenAlex

Background: Patient-centred care is important in the management of chronic inflammatory neuropathies (CIN) given the heterogeneity in disease course and treatment response. Patient Reported Outcome Measures (PROMs) support value-based healthcare by aligning treatment goals with what matters most to patients. This study evaluated the relevance of PROMs to patients and the feasibility of use in clinical management. Methods: PROMs assessing quality of life, pain, fatigue, and overall disability were collected prospectively from 32 patients with CIN every three months over a 12-month period. Patients provided feedback on relevance of the measures. PROMs were sent electronically prior to the visit. Results: Completion rate was 92%. Home vs. in-clinic completion increased from 56% to 85% over the course of the study. There was an association between completion of the panel and perceived relevance. The PROMs were consistently rated as highly relevant, with disability and fatigue measures rated highest. Conclusions: PROMs are appraised as highly relevant among patients with CIDP and MMN. Patients require support initially but adapt to electronically delivered home completion of questionnaires. We recommend inclusion of PROMs into routine clinical practice as a means of capturing aspects of health that are not easily assessed in a clinic visit.

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 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)0.005
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.287
Teacher spread0.230 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicAutoimmune Bullous Skin DiseasesFrench-language works237,207