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Patient-Reported Outcome Measures for Health-Related Quality of Life in Patients With Acne Vulgaris

2022· review· en· W4283319042 on OpenAlexaff
Zachary Hopkins, Diane Thiboutot, Haya Homsi, Lourdes M. Pérez-Chada, John S. Barbieri

Bibliographic record

VenueJAMA Dermatology · 2022
Typereview
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsUniversity of Waterloo
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsMedicinePatient-reported outcomePromContent validityAcneChecklistQuality of life (healthcare)Construct validityCriterion validityPhysical therapyFamily medicinePsychometricsClinical psychologyDermatologyPsychologyNursing

Abstract

fetched live from OpenAlex

Importance: Multiple patient-reported outcome measures (PROMs) for health-related quality of life (HRQoL) exist for patients with acne. However, little is known about the content validity and other measurement properties of these PROMs. Objective: To systematically review PROMs for HRQoL in adults or adolescents with acne. Data Sources: Eligible studies were extracted from PubMed and Embase (OVID). Study Selection: Full-text articles published in English or Spanish on development, pilot, or validation studies for acne-specific, dermatology-specific, or generic HRQoL PROMs were included. Development studies included original development studies, even if not studied in acne patients per Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) recommendations. If a study included several diagnoses, the majority (ie, over 50%) of patients must have acne or acne-specific subgroup analyses must be available. Abstract and full-text screening was performed by 2 independent reviewers. Data Extraction and Synthesis: Two independent reviewers assessed study quality applying the COSMIN checklist and extracted and analyzed the data. For each distinctive PROM, quality of evidence was graded by measurement property. Main Outcomes and Measures: PROM properties (target population, domains, recall period, development language), PROM development and pilot studies, content validity (relevance, comprehensiveness, comprehensibility), and remaining measurement properties (structural validity, internal consistency, cross-cultural validity, reliability, measurement error, criterion validity, construct validity, and responsiveness). Quality of evidence was assigned for each measurement property of included PROMs. An overall recommendation level was assigned based on content validity and quality of the evidence of measurement properties. Results: We identified 54 acne PROM development or validation studies for 10 acne-specific PROMs, 6 dermatology-specific PROMs, and 5 generic PROMs. Few PROMs had studies for responsiveness. The only acne-specific PROMs with sufficient evidence for content validity were the CompAQ and Acne-Q. Based on available evidence, the Acne-Q and CompAQ can be recommended for use in acne clinical studies. Conclusions and Relevance: Two PROMs can currently be recommended for use in acne clinical studies: the Acne-Q and CompAQ. Evidence on content validity and other measurement properties were lacking for all PROMs; further research investigating the quality of remaining acne-specific, dermatology-specific, and generic HRQoL PROMs is required to recommend their use.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.040
metaresearch head score (Gemma)0.129
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.040
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.129
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0080.009
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.091
GPT teacher head0.373
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations46
Published2022
Admission routes1
Has abstractyes

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