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Record W2762624691 · doi:10.1093/pch/20.5.e47

38: Caregiver Attitudes and Usage of Sleep-Promoting Medication in Children

2015· article· en· W2762624691 on OpenAlexaffabout
H Sriskanda, Natasha Leporé, Jamie A. Seabrook, Dirk E. Bock

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsBedtimeMedicineMedical prescriptionPediatricsSleep (system call)InsomniaFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Pediatric insomnia affects an estimated 30% to 35% of children, and is a common reason for parental concern. Despite minimal safety data and limited indications, recent evidence indicates that physicians frequently recommend medication for children with sleep problems. Canadian data on the frequency and type of medication used, and on parental attitudes toward sleep-promoting medication in children are lacking. To characterize parental attitudes and the usage of sleep-promoting over-the-counter (OTC) and prescription (RX) medications for children. In this prospective, pilot survey study, caregivers presenting with their children (birth to 18 years) to a pediatric emergency department at a tertiary care centre between March 2012 and April 2014 completed a 20-item modified version of the Pediatric Sleep Medication Survey. This instrument was originally developed by Judith Owens and colleagues to assess physician prescribing habits of sleep medications in children. Three hundred fifty surveys were distributed, of which 346 surveys were sufficiently complete to be analyzed. Children were on average eight years old (SD±5). 49.1% were female, and 73% Caucasian. The three most common sleep problems experienced repeatedly by children in our sample were bedtime resistance/delayed sleep onset (43.5%, with 8.6% having received medication to treat this), frequent night awakenings (32%), and difficulty falling asleep or returning to sleep after awakening. 21.4% of children had received an OTC sleep-promoting medication on at least one occasion, and 4.6% at least one RX sleep-promoting medication. In young children, pain reliever combinations (e.g. Tylenol PM) were the most commonly used OTC medications (7.2%) to facilitate sleep. In children 6 to 18 years of age, melatonin was the most frequently cited OTC medication (19.3%) of children in our sample, used at least once between the ages of 6 to 18 years. Benzodiazepines (2%) were the most frequently reported RX medications used for sleep in nearly all ages. Many parents endorsed that medication for sleep problems should be used only if other treatments have failed (53.4%), or in combination with behavioural techniques (27.4%). Some parents (18.9%) also felt that giving sleep-promoting medication was appropriate in order to provide respite for the family. Concern regarding short- or long-term side effects (65.1%) and development of tolerance or habituation (53.7%) were the most frequently cited reasons against sleep medication usage. Over-the-counter and prescription medications were commonly used to treat sleep problems for children in our sample. Canadian-wide data on the use of pharmacotherapy to treat, and guidelines for managing pediatric sleep disorders are urgently needed, along with pediatric data on sleep medication safety and dosing. Counselling for families should focus on emphasizing behavioural strategies and discouraging pharmacotherapy for managing pediatric insomnia.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.300
Teacher spread0.285 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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