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Record W4289534467 · doi:10.21926/obm.icm.2203031

Clinical Practice Guidelines About Screening for Disruptive Behavior Problems at Well-Child Visits: A Rapid Review of the Literature on the Accuracy of Parents’ Behavioral Concerns

2022· review· en· W4289534467 on OpenAlexaffabout
Raymond H. Baillargeon, Marylène Charette, François Tessier, Kevin Brand

Bibliographic record

VenueOBM Integrative and Complementary Medicine · 2022
Typereview
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsPublic Works and Government Services CanadaUniversity of Ottawa
Fundersnot available
KeywordsCohen's kappaPrimary careMedicineValue (mathematics)MEDLINEKappaBest practiceCitationFamily medicinePsychologyComputer science

Abstract

fetched live from OpenAlex

The current recommendations of the Canadian Paediatric Society about monitoring children’s disruptive behaviors at well-child visits call for screening if behavioral concerns are being raised by parents. But do parents’ concerns about their child’s behavior constitute a reliable means for primary care providers (PCPs) to decide either in favor or against screening? We conducted a rapid systematic review of the literature by identifying documents that cited the landmark study by Glascoe and her colleagues (1991) on the accuracy of behavioral concerns at identifying children with a disruptive behavior problem.<sup> </sup>Citation tracking was done using Web of Science (Core Collection; 17 October 2018) and SCOPUS (19 October 2018). Only one recent published study was identified. The calibration of concerns’ specificity (and other indices alike) yielded, at best, a fair value of the weighted kappa coefficient <em>κ(0,0)</em> (i.e., 0.255 and 0.094). Also, the calibration of concerns’ sensitivity (and other indices alike) yielded, at best, a moderate value of the weighted kappa coefficient <em>κ(1,0)</em> (i.e., 0.533 and 0.392). Overall, the results do not support the current recommendations. In fact, behavioral concerns do not provide PCPs with enough information to reach a decision about screening. We discuss different ways of gathering the necessary information.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.445
GPT teacher head0.600
Teacher spread0.155 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2022
Admission routes2
Has abstractyes

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