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Record W4384626362 · doi:10.1002/mus.27935

What do people affected by amyotrophic lateral sclerosis want from health communications? Evidence from the <scp>ALS</scp> Talk Project

2023· article· en· W4384626362 on OpenAlexafffund
Shelagh K. Genuis, Westerly Luth, Tania Bubela, Wendy Johnston

Bibliographic record

VenueMuscle & Nerve · 2023
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsSimon Fraser UniversityUniversity of Alberta
FundersALS Society of Canada
KeywordsAmyotrophic lateral sclerosisFocus groupHealth communicationPsychologyHealth careMedicineDiseaseCommunication

Abstract

fetched live from OpenAlex

INTRODUCTION/AIMS: Health communication is central to effective, supportive amyotrophic lateral sclerosis (ALS) clinical care. Guidance for ALS communication is limited, focuses on diagnosis disclosure, and frequently relies on expert consensus and/or reviews. Patient-based evidence is needed to guide ALS health communication. We investigated how the experiences of ALS patients and family caregivers can inform effective communication practices from diagnosis to end-of-life. METHODS: Data were drawn from the ALS Talk Project, an asynchronous, online focus group study. Seven focus groups and five interviews (105 participants) were conducted. Data were qualitatively analyzed using directed content analysis and the constant-comparative approach. RESULTS: We found four primary themes: communication content, communication circumstances, information sufficiency, and communication manner. Data indicate participants relied on clinicians for medical information but also wanted practical information; health communication should attend to the circumstances within which conversations occur; information must be sufficient for individual needs, without overwhelming; and an empathetic, direct, and honest manner facilitated trust. Participants identified communication challenges and strategies to improve communication across major themes, including stepwise approaches and conversations tailored to individuals and their heterogeneous disease experiences. DISCUSSION: Healthcare professionals should discuss patient/caregiver communication preferences early in the therapeutic relationship, co-develop a communication agreement, and update the agreement in response to changing needs and disease progression. This will foster regular discussion of information needs and promote timely discussions of challenging topics, including advance care, while giving patients and families a sense of control. Findings may have implications for other neuromuscular disease and/or seriously ill populations.

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)0.001
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 score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.100
GPT teacher head0.344
Teacher spread0.244 · 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

Citations13
Published2023
Admission routes2
Has abstractyes

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