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Record W2944000166 · doi:10.1001/jamafacial.2019.0224

An International Collaborative Standardizing Patient-Centered Outcome Measures in Pediatric Facial Palsy

2019· article· en· W2944000166 on OpenAlexaff
Daniel Butler, Alethse de la Torre, Gregory H. Borschel, Tessa A. Hadlock, Carien H. G. Beurskens, Kathleen R. Bogart, Alexander Cárdenas Mejía, Christopher J. Coombs, Jocelyne Copeland, Jacqueline Diels, Teresa González-Otero, Louise Graham, Lisa E. Ishii, Raman Malhotra, Adelaida Martinez, Lisa L. McKinley, Mara Robinson, Sinikka Suominen, Akihiko Takushima, Evangelina Vázquez Curiel, Faye Linda Wachs, Adriaan O. Grobbelaar

Bibliographic record

VenueJAMA Facial Plastic Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineDelphi methodHealth careMEDLINEPopulationCerebral palsyInternational Classification of Functioning, Disability and HealthPhysical therapyPatient-reported outcomePromFamily medicinePediatricsRehabilitationNursingQuality of life (healthcare)

Abstract

fetched live from OpenAlex

IMPORTANCE: Standardization of outcome measurement using a patient-centered approach in pediatric facial palsy may help aid the advancement of clinical care in this population. OBJECTIVE: To develop a standardized outcome measurement set for pediatric patients with facial palsy through an international multidisciplinary group of health care professionals, researchers, and patients and patient representatives. DESIGN, SETTING, AND PARTICIPANTS: A working group of health care experts and patient representatives (n = 21), along with external reviewers, participated in the study. Seven teleconferences were conducted over a 9-month period between December 3, 2016, and September 23, 2017, under the guidance of the International Consortium for Health Outcomes Measurement, each followed with a 2-round Delphi process to develop consensus. This process defined the scope, outcome domains, measurement tools, time points for measurements, and case-mix variables deemed essential to a standardized outcome measurement set. Each teleconference was informed by a comprehensive review of literature and through communication with patient advisory groups. Literature review of PubMed was conducted for research published between January 1, 1981, and November 30, 2016. MAIN OUTCOMES AND MEASURES: The study aim was to develop the outcomes and measures relevant to children with facial palsy as opposed to studying the effect of a particular intervention. RESULTS: The 21 members of the working group included pediatric facial palsy experts from 9 countries. The literature review identified 1628 papers, of which 395 (24.3%) were screened and 83 (5.1%) were included for qualitative evaluation. A standard set of outcome measurements was designed by the working group to allow the recording of outcomes after all forms of surgical and nonsurgical facial palsy treatments among pediatric patients of all ages. Unilateral or bilateral, congenital or acquired, permanent or temporary, and single-territory or multiterritory facial palsy can be evaluated using this standard set. Functional, appearance, psychosocial, and administrative outcomes were selected for inclusion. Clinimetric and psychometric outcome measurement tools (clinician-, patient-, and patient proxy-reported) and time points for measuring patient outcomes were established. Eighty-six independent reviews of the standard set were completed, and 34 (85%) of the 40 patients and patient representatives and 44 (96%) of the 46 health care professionals who participated in the reviews agreed that the standard set would capture the outcomes that matter most to children with facial palsy. CONCLUSIONS AND RELEVANCE: This international collaborative study produced a free standardized set of outcome measures for evaluating the quality of care provided to pediatric patients with facial palsy, allowing benchmarking of clinicians, comparison of treatment pathways, and introduction of value-based reimbursement strategies in the field of pediatric facial palsy. LEVEL OF EVIDENCE: NA.

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)0.560
metaresearch head score (Gemma)0.542
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.440
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5600.542
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0180.014
Science and technology studies0.0050.005
Scholarly communication0.0090.009
Open science0.0090.019
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.041
GPT teacher head0.325
Teacher spread0.284 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations35
Published2019
Admission routes1
Has abstractyes

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