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Values and Preferences of Patients and Caregivers Regarding Treatment of Atopic Dermatitis (Eczema)

2023· review· en· W4317951745 on OpenAlex
Keon Maleki-Yazdi, Anja Fog Heen, Irene X. Zhao, Gordon Guyatt, Érica Aranha Suzumura, Nima Makhdami, Lina Chen, Tonya Winders, Kathryn E. Wheeler, Julie Wang, Jonathan M. Spergel, Jonathan I. Silverberg, Peck Y. Ong, Monica O’Brien, Stephen A. Martin, Peter Lio, Mary Laura Lind, Jennifer LeBovidge, Elaine Kim, Joey Huynh, Matthew Greenhawt, Winfred Frazier, Kathy Ellison, Korey Capozza, Anna De Benedetto, Mark Boguniewicz, Wendy Smith Begolka, Rachel N. Asiniwasis, Lynda C. Schneider, Derek K. Chu

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

VenueJAMA Dermatology · 2023
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsSt. Joseph’s Healthcare HamiltonUniversity of SaskatchewanToronto Public HealthUniversity of OttawaImpactMcMaster University
Fundersnot available
KeywordsMedicineMEDLINECINAHLAtopic dermatitisPsycINFOFamily medicineAsthmaEvidence-based medicineGrading (engineering)Alternative medicinePsychological interventionDermatologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Importance: Patient values and preferences can inform atopic dermatitis (AD) care. Systematic summaries of evidence addressing patient values and preferences have not previously been available. Objective: To inform American Academy of Allergy, Asthma & Immunology (AAAAI)/American College of Allergy, Asthma and Immunology (ACAAI) Joint Task Force on Practice Parameters AD guideline development, patient and caregiver values and preferences in the management of AD were systematically synthesized. Evidence Review: Paired reviewers independently screened MEDLINE, Embase, PsycINFO, and CINAHL databases from inception until March 20, 2022, for studies of patients with AD or their caregivers, eliciting values and preferences about treatment, rated risk of bias, and extracted data. Thematic and inductive content analysis to qualitatively synthesize the findings was used. Patients, caregivers, and clinical experts provided triangulation. The GRADE-CERQual (Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative Research) informed rating of the quality of evidence. Findings: A total of 7780 studies were identified, of which 62 proved eligible (n = 19 442; median age across studies [range], 15 years [3-44]; 59% female participants). High certainty evidence showed that patients and caregivers preferred to start with nonmedical treatments and to step up therapy with increasing AD severity. Moderate certainty evidence showed that adverse effects from treatment were a substantial concern. Low certainty evidence showed that patients and caregivers preferred odorless treatments that are not visible and have a minimal effect on daily life. Patients valued treatments capable of relieving itching and burning skin and preferred to apply topical corticosteroids sparingly. Patients valued a strong patient-clinician relationship. Some studies presented varied perspectives and 18 were at high risk for industry sponsorship bias. Conclusions and Relevance: In the first systematic review to address patient values and preferences in management of AD to our knowledge, 6 key themes that may inform optimal clinical care, practice guidelines, and future research have been identified.

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: Review · Consensus signal: Review
Teacher disagreement score0.848
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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 head0.042
GPT teacher head0.322
Teacher spread0.280 · 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