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Record W3207708890 · doi:10.12788/cutis.0320

Anecdote Increases Patient Willingness to Take a Biologic Medication for Psoriasis

2021· article· en· W3207708890 on OpenAlexaff
Matthew C. Johnson

Bibliographic record

VenueCutis · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineAnecdotePsoriasisLikert scaleRandomized controlled trialClinical endpointClinical trialAlternative medicineConcordanceAnxietyDermatologyInternal medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Patients often are apprehensive about starting biologic medications for their psoriasis. Typical fears include anxiety regarding possible side effects and reluctance in accepting their proven efficacy. In this study, we aimed to evaluate patients' willingness to take a biologic medication for their psoriasis if presented with clinical trial evidence, an anecdote, or both. A prospective online survey study was performed in 222 patients with psoriasis. Patients were randomized to receive clinical trial evidence of a biologic medication's efficacy and safety, an anecdote of a single patient's positive experience, or both. Responses were recorded on a 10-point Likert scale and evaluated using the Kruskal-Wallis test followed by Dunn test. Results indicated that presenting an anecdote-alone or in combination with clinical trial evidence-may be an effective way to improve patients' willingness to take a biologic medication for psoriasis.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.238
GPT teacher head0.440
Teacher spread0.201 · 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 designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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