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Record W4391609172 · doi:10.1093/bjd/ljad498.046

546 - Patient preferences for treatment attributes in moderate-to-severe atopic dermatitis: a discrete choice experiment

2024· article· en· W4391609172 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Dermatology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsAtopic dermatitisDermatologyMedicine

Abstract

fetched live from OpenAlex

Abstract Introduction/Background Atopic dermatitis (AD) affects approximately 5-10% of adults worldwide, significantly burdening affected patients. Newer treatments for moderate-to-severe AD, including biologic therapies and Janus-kinase (JAK) inhibitors, are associated with varied levels of efficacy, safety, monitoring, and administration requirements. Yet, patient preferences for different treatment options are not well characterized. Objectives A discrete choice experiment (DCE) was designed to quantify the extent to which AD patients in the United States (US) value different treatment attributes. Methods An online DCE survey was conducted in June 2023. Eligible participants included US adults (≥ 18 years) with self-reported moderate-to-severe AD or experience with systemic therapy, diagnosed with AD for ≥1 year, with inadequate response to topical treatments. DCE attributes were selected based on qualitative interviews with patients and clinical input, including attributes related to efficacy (i.e., sustained improvement in skin appearance, itch control), safety (i.e., risk of respiratory infection, cancer, and heart problems), treatment administration, and blood test frequency. Participants were presented 12 choice tasks, each presenting two hypothetical treatment profiles, and selected one profile from each task that reflected their preferred option. A conditional logit regression model was used to assess patient preferences for attributes. Sensitivity analyses were conducted, excluding patients who failed validity tests. Results A diverse group of 300 participants completed the survey (mean age: 45 years; 22% non-white or mixed; 70% female; 66% employed). Approximately half received their first AD treatment of any kind 5 or more years ago (50%), had experienced severe symptoms (50%), and had experience with systemic therapy (52%). Participants preferred treatments with higher efficacy, lower risk of AEs, and less frequent blood tests (p < 0.05). Frequency and mode of administration (i.e., oral vs. injectable) did not impact preferences (p > 0.05). On average, participants were willing to accept a reduction of 35.4, 17.7, and 1.2 percentage points in the probability of achieving itch control to receive a treatment with 1 percentage point less risk of cancer, heart problems, and respiratory infections, respectively. Treatment attributes, from high to low relative importance, were itch control (38%), followed by risk of cancer (23%), risk of respiratory infections (18%), risk of heart problems (11%), sustained improvement in skin appearance (5%), blood test frequency (3%), and frequency and mode of administration (2%). Results were similar in sensitivity analyses, indicating the robustness of the findings. Conclusions Patients with moderate-to-severe AD preferred treatments that maximize itch control while minimizing the risk of AEs (cancer, respiratory infections, heart problems), whereas mode of administration had little impact on preferences. Understanding patients’ preferences may help improve shared decision-making.

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.

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)0.000
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 score0.674
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.070
GPT teacher head0.410
Teacher spread0.341 · 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