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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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.008
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 teacher head, not a consensus.

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

Citations71
Published2019
Admission routes1
Has abstractyes

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