Measuring outcomes for temple hollowing treatment: Content validity of new and existing FACE‐Q scales
Bibliographic record
Abstract
BACKGROUND: The FACE-Q, a validated, modular patient-reported outcome measure with global uptake, currently does not have a scale to measure the appearance of the temples. Objectives of our study were to develop a new FACE-Q scale for appearance of temples and assess content validity of two existing FACE-Q scales in the context of temple hollowing: Satisfaction with Facial Appearance and Psychological Function. METHODS: A heterogeneous sample of adults who were seeking or had received treatments for temple hollowing was recruited from three outpatient clinics in the United States. Semi-structured interviews using an interpretive description approach were completed to elicit concepts and generate an item pool and assess content validity of the two existing FACE-Q scales. The item pool data were used to develop preliminary Temple scale, which was refined based on patient and expert feedback. RESULTS: Participants (N = 15, 55 ± 9 years) described a range of esthetic concerns related to temple hollowing and its treatment. The data were used to draft the FACE-Q Satisfaction with Temples scale, which was refined through input from patients (N = 12) and clinicians (N = 5), resulting in a 16-item FACE-Q Satisfaction with Temples scale. The scale covers concepts of fullness, harmony, scenarios (eg, mirror, bright lights), age, and shape. Content validity of the two existing FACE-Q scales was substantiated. CONCLUSION: The FACE-Q Satisfaction with Temples scale fills an important gap in patient-reported outcome measurement in facial esthetics. The scale will be field-tested to finalize content and develop the scoring algorithm prior to implementation in clinical practice and research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".