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Record W2145354590 · doi:10.1542/peds.108.3.e51

The Practice of Pediatric Sleep Medicine: Results of a Community Survey

2001· article· en· W2145354590 on OpenAlexaboutno aff
Judith A. Owens

Bibliographic record

VenuePEDIATRICS · 2001
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsMedicineSleep medicineSleep (system call)Quarter (Canadian coin)Excessive daytime sleepinessFamily medicinePediatricsObstructive sleep apneaPublic healthPsychiatrySleep disorderInsomnia

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess knowledge, screening, evaluation, treatment practices, and attitudes regarding sleep disorders in children and adolescents in a large sample of community-based and academic pediatricians. DESIGN: Cross-sectional survey. PARTICIPANTS: Six hundred twenty-six pediatricians in Rhode Island, Massachusetts, and Connecticut. INTRUMENT: The Pediatric Sleep Survey, a 42-item questionnaire assessing general and specific sleep knowledge categories; clinical screening, diagnostic, and treatment practices for common pediatric sleep disorders; and practitioner attitudes regarding the impact of sleep disorders in the clinical setting and as a public health issue. RESULTS: On the knowledge section, the mean Total Knowledge score for the respondents was 18.1 +/- 3.5 out of 30 items, with 23.5% of the sample responding correctly on half or less of the items. Pediatricians scored highest on items relating to developmental and behavioral aspects of sleep and parasomnias, whereas the mean percentage of correct responses was <50% for items relating to sleep disordered breathing, excessive daytime sleepiness, and sleep movement disorders. Although only 16.5% and 18.2% of the sample reported not screening routinely for sleep disorders in infants and toddlers, this percentage rose to 43.9% in adolescents. Furthermore, only 38.3% regularly question the adolescents themselves about their sleep. Only about one quarter of the respondents screen toddlers and school-aged children for snoring. In evaluating and treating pediatric sleep problems, 53.2% of the sample never or rarely order overnight sleep studies to assess for obstructive sleep apnea and few use alternative treatment strategies, such as continuous positive airway pressure. A quarter of the sample at least occasionally recommends diphenhydramine and almost half suggests a psychological evaluation for children with night terrors. Finally, the percent of pediatricians rating the impact on children of sleep problems in a variety of domains as important or very important ranged from 49.7% (nonintentional injuries) to 92.6% (academic performance). However, only 46% of the sample felt confident or very confident about their own ability to screen for sleep problems, whereas 34.2% and 25.3% similarly rated their ability to evaluate and treat sleep problems in children. CONCLUSIONS: The results of this survey suggest that there are still significant gaps among practicing pediatricians both in basic knowledge about pediatric sleep disorders, and in the translation of that knowledge into clinical practice. Despite their acknowledgment of the importance of sleep problems, many pediatricians fail to screen adequately for them, especially in older children and adolescents. Additional educational efforts regarding pediatric sleep issues are warranted, and should be targeted at the medical school, postgraduate training, and continuing medical education levels.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.342
Teacher spread0.305 · 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 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

Citations268
Published2001
Admission routes1
Has abstractyes

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