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Record W4406405521 · doi:10.2340/jrm.v57.41254

An exploratory qualitative assessment of patient and clinician perspectives on patient-reported outcome measures and disease-modifying therapies in adults with spinal muscular atrophy

2025· article· en· W4406405521 on OpenAlexafffund
Jeremy Slayter, Lauren Casey, Shane McCullum, A J Banks, Colleen O’Connell

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsUniversity of New BrunswickHorizon Health NetworkSaint John Regional HospitalDalhousie University
FundersF. Hoffmann-La RocheDalhousie UniversityBiogen
KeywordsSpinal muscular atrophyMedicinePatient-reported outcomePhysical therapyPhysical medicine and rehabilitationDiseaseExploratory researchQualitative researchMEDLINEPathologyQuality of life (healthcare)Nursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand patient, caregiver, and clinician perspectives on patient-reported outcome measures, critical functional domains, and disease-modifying therapies in adult spinal muscular atrophy. DESIGN: An exploratory qualitative single-site study. PATIENTS: Ten adults with spinal muscular atrophy and two clinicians participated in semi-structured interviews. METHODS: Semi-structured interviews were conducted virtually or in person with participants after they completed outcome measures at a routine clinic visit. Two researchers analysed transcripts concurrently using a thematic approach to determine themes. RESULTS: Ten themes were identified among partici-pants. Patient-reported outcome measure preference varied between functional groups and was under-responsive, although it captured meaningful data. Motor stability was most frequently expected with disease-modifying therapy, but participants also reported improved fatigue and respiratory status. CONCLUSION: After considering patient goals, functional status, and preferences, patient-reported outcome measures represent a valuable adjunct to standard clinical and research tools. Optimal selection of patient-reported outcome measures requires careful consideration of multiple patient factors. Collaborative development of modified patient-reported outcome measures may yield a responsive, meaningful, and acceptable tool that can be used across a broad functional spectrum.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.191
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.417
Teacher spread0.380 · 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.

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

Citations6
Published2025
Admission routes2
Has abstractyes

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