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Record W2804520088 · doi:10.1177/2292550317747852

Multidisciplinary Cleft Palate Program at BC Children’s Hospital: Are We Meeting the Standards of Care?

2018· article· en· W2804520088 on OpenAlexaff
Anita Dahiya, Rebecca Courtemanche, Douglas J. Courtemanche

Bibliographic record

VenuePlastic Surgery · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMultidisciplinary approachMedicineFamily medicinePediatricsPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To characterize current Cleft Palate Program (CPP) practices and evaluate the timeliness of appointments with respect to patient age and diagnosis based on American Cleft Palate-Craniofacial Association (ACPA) population guidelines and CPP patient-specific recommendations. DESIGN: A retrospective review of CPP patient appointments from November 6, 2012, to March 31, 2015, was done. Data were analyzed using descriptive and inferential statistics. SETTING: The study was conducted using data from the CPP at BC Children's Hospital. PATIENTS: A total of 1214 appointments were considered in the analysis, including syndromic and nonsyndromic patients of 0 to 27 years of age. MAIN OUTCOME MEASURES: Percentage of patients meeting follow-up targets by ACPA standards and CPP team recommendations. RESULTS: < .001). No relationship between the timeliness of an appointment and specific patient diagnoses or distance to clinic was found. With the exception of nursing (97% of appointments were on time), all disciplines had less than 45% of appointments on time with 51% of appointments meeting ACPA guidelines for timeliness and 32% of all appointments meeting CPP recommendations. CONCLUSION: Timely care for the cleft/craniofacial patient populations represents a challenge for the CPP. Although half of patients may meet the general ACPA guidelines, only 32% of patients are meeting the CPP patient-specific recommendations. To provide better patient care, future adjustments are needed, which may include improved resource allotment and program support.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2018
Admission routes1
Has abstractyes

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