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Record W2944804677 · doi:10.1177/1352458519845107

The neurologist’s role in disabling multiple sclerosis: A qualitative study of patient and care provider perspectives

2019· article· en· W2944804677 on OpenAlexafffund
Jean-Pierre Falet, Shriya Deshmukh, A Al-Jassim, Gregory Sigler, Melanie Babinski, Fraser Moore

Bibliographic record

VenueMultiple Sclerosis Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersMcGill University
KeywordsMultiple sclerosisThematic analysisMedicineQualitative researchExploratory researchFamily medicineMEDLINEDiseasePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with advanced, disabling multiple sclerosis (MS) have few effective treatment options. Little is known about the role that patients and their care providers want their neurologist to fill in this situation. OBJECTIVE: To better understand the role that patients with disabling MS and their care providers want their neurologist to have in their care. METHODS: In this exploratory qualitative study, we conducted semi-structured interviews with 29 participants (19 patients with severe disability due to MS and 10 care providers). Interview transcripts were analyzed using inductive thematic analysis. RESULTS: Participants identified three main roles for their neurologist: a source of hope for therapeutic advances, an educator about the disease and its management, and a source of support. CONCLUSION: Despite sustaining a level of disability that may be refractory to standard medical therapy, patients with disabling MS and care providers continue to value certain roles of their neurologist. The neurologist's role as a source of hope and support in particular has not received enough attention in the literature.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.091
GPT teacher head0.332
Teacher spread0.241 · 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

Citations5
Published2019
Admission routes2
Has abstractyes

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