MétaCan
Menu
Back to cohort
Record W2917934466 · doi:10.1542/hpeds.2018-0205

Developing a Clinical Pathway for Somatic Symptom and Related Disorders in Pediatric Hospital Settings

2019· article· en· W2917934466 on OpenAlexaff
Patricia Ibeziako, Khyati Brahmbhatt, Andrea Chapman, Claire De Souza, Lisa Giles, Shanti Lila Gooden, Finza Latif, Nasuh Malas, Lisa B. Namerow, Ruth Russell, Petra Steinbuchel, Maryland Pao, Sigita Plioplys

Bibliographic record

VenueHospital Pediatrics · 2019
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsMcGill UniversityMontreal Children's HospitalBC Children's HospitalUniversity of TorontoSickKids FoundationHospital for Sick ChildrenUniversity of British Columbia
FundersNational Institutes of HealthAmerican Academy of Child and Adolescent Psychiatry
KeywordsMedicineMultidisciplinary approachPsychological interventionPediatric hospitalFamily medicineClinical pathwayHealth careMEDLINEMedical diagnosisStandardizationPsychiatryPediatricsNursing

Abstract

fetched live from OpenAlex

Somatic symptom and related disorders (SSRDs) are commonly encountered in pediatric hospital settings. There is, however, a lack of standardization of care across institutions for youth with these disorders. These patients are diagnostically and psychosocially complex, posing significant challenges for medical and behavioral health care providers. SSRDs are associated with significant health care use, cost to families and hospitals, and risk for iatrogenic interventions and missed diagnoses. With sponsorship from the American Academy of Child and Adolescent Psychiatry and input from multidisciplinary stakeholders, we describe the first attempt to develop a clinical pathway and standardize the care of patients with SSRDs in pediatric hospital settings by a working group of pediatric consultation-liaison psychiatrists from multiple institutions across North America. The authors of the SSRD clinical pathway outline 5 key steps from admission to discharge and include practical, evidence-informed approaches to the assessment and management of children and adolescents who are medically hospitalized with SSRDs.

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)0.008
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0040.004
Open science0.0020.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.002

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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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 designNot applicable
Domainnot available
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

Citations71
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueHospital PediatricsSame topicPsychosomatic Disorders and Their TreatmentsFrench-language works237,207