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FACE-Q Satisfaction with Appearance Scores from Close to 1000 Facial Aesthetic Patients

2016· editorial· en· W2419133152 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2016
Typeeditorial
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsMcMaster University
FundersNational Cancer Institute
KeywordsPatient satisfactionScale (ratio)MedicineTest (biology)Quality of life (healthcare)Face validityReliability (semiconductor)PsychologyClinical psychologyPsychometricsSurgeryNursing

Abstract

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Sir: Patient-reported outcome instruments are used worldwide to inform clinical practice, comparative effectiveness research, discussions with regulatory bodies, and an evidence-based approach to treatment.1 To address the lack of patient-reported outcome instruments available to plastic surgeons and dermatologists, our team developed the FACE-Q for use with facial aesthetics patients.2,3 The FACE-Q includes a variety of scales and checklists from which clinicians and researchers may choose to measure patient perceptions of their appearance, posttreatment adverse effects, and quality of life. In our recently completed international field test, we accumulated different samples for each of the 40-plus scales at a different rate and from different patients, with one exception: the 10-item Satisfaction with Appearance scale was completed by almost all participants. This scale, designed to measure outcomes for any type of surgical or nonsurgical facial aesthetic treatment, was previously shown to demonstrate reliability, validity, and the ability to detect clinical change.3 The methods for our study are described in detail elsewhere.2,3 Satisfaction with Appearance scores range from 0 (lowest) to 100 (highest). Here we present Satisfaction with Appearance scores by timing of assessment and procedure type. In the field test study, 952 of 988 participants completed the scale one or more times, providing 1051 assessments. The sample of 952 included more female (87 percent), white (78 percent), and surgical (55 percent) patients. Mean age was 48 years (range, 18 to 85 years). In linear regression models with Satisfaction with Appearance as the dependent variable, age, sex, race (white versus other), and treatment type (surgical versus nonsurgical) accounted for 10 (R2 = 0.10; p< 0.001) and 15 (R2 = 0.15; p < 0.001) percent of the variance in pretreatment (model 1) and posttreatment (model 2) scores respectively. Surgical (β = −9.2; p < 0.001) and older (β = −0.12; p = 0.02) patients reported lower scores in model 1, and surgical patients reported higher scores (β = 14.9; p < 0.001) in model 2. Procedure type for the 909 assessments where treatment involved a single procedure (versus multiple) included the following: face lift (n = 181), rhinoplasty (n = 174), botulinum toxin type A (n = 168), facial filler (n = 123), skin treatment (n = 106), blepharoplasty (n = 92), and other (n = 65). Satisfaction with appearance (Fig. 1) was significantly higher on independent samples t tests in the posttreatment versus pretreatment groups for five procedures.Fig. 1: Mean FACE-Q Satisfaction with Appearance scores comparing pretreatment and posttreatment groups. Cases having multiple procedures are not included. Posttreatment assessments ranged from 1 to 21 months for surgical patients and 2 days to 18 months for nonsurgical patients.A subgroup of 77 participants completed the FACE-Q scale both before and after treatment (Table 1). Satisfaction with appearance was significantly higher following treatment, with moderate (nonsurgical) and large (surgical) effect sizes.Table 1: Mean FACE-Q Satisfaction with Appearance Scores, Standard Deviation, Effect Size, and Minimally Important Difference for the Subgroup of Patients Who Provided Pretreatment and Posttreatment DataIn conclusion, based on a sample of close to 1000 facial aesthetic patients, satisfaction with appearance was higher in those who have undergone facial aesthetic treatments compared with those who have not, especially for surgical procedures. It is important to note the study limitations, including variability in timing of FACE-Q completion, the fact that the sample included more women than men, and few participants completed the FACE-Q before and after treatment. As with the BREAST-Q4 and the BODY-Q,5 the FACE-Q is available free of charge to clinicians and nonprofit users. We encourage the plastic surgery community to make use these patient-reported outcome instruments to better understand patients’ concerns and to provide evidence about the benefits of different facial aesthetic treatments. DISCLOSURE The FACE-Q field-test was supported by the Plastic Surgery Foundation. The FACE-Q is owned by Memorial Sloan-Kettering Cancer Center. Drs. Cano, Klassen, and Pusic are co-developers of the FACE-Q and, as such, receive a share of any license revenues as royalties based on Memorial Sloan-Kettering Cancer Center’s inventor sharing policy. Dr. Cano is co-founder of Modus Outcomes, an outcomes research and consulting firm that provides services to pharmaceutical, medical device, and biotechnology companies. ACKNOWLEDGMENTS The authors are grateful for grant funding provided by the Plastic Surgery Foundation. The authors are indebted to the many clinicians who recruited their patients into the FACE-Q field test and the many patients who participated. Anne F. Klassen, D.Phil. McMaster University Hamilton, Ontario, Canada Stefan J. Cano, Ph.D. Modus Outcomes Stotfold, United Kingdom Andrea L. Pusic, M.D., M.Sc. Memorial Sloan-Kettering Cancer Center New York, N.Y.

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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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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