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Record W2050790041 · doi:10.1177/1359104500005004011

Reported Rates of Adherence to Medication Prescribed for Adolescents’ Symptoms of ADHD

2000· article· en· W2050790041 on OpenAlexaff
Jeneva L. Ohan, Charlotte Johnston

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2000
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStimulantDemographicsAttention deficit hyperactivity disorderMedicineMedication adherencePsychiatryPopulationClinical psychologyPediatricsDemography

Abstract

fetched live from OpenAlex

Clinicians frequently describe incomplete adherence to stimulant medication as a limitation to the effectiveness of treating ADHD in adolescents. This study examined reported adherence among 44 adolescents prescribed medication for symptoms of attention deficit hyperactivity disorder (ADHD). Reports of medication adherence were obtained from adolescents and parents at two time points, approximately two months apart. Parent and adolescent reports indicated reasonable agreement, with parents and adolescents reporting high rates of adherence at both time points (medians ranged from 85 to 89% adherence). A small group of adolescents reported extremely low rates of adherence, but we were not able to distinguish this group from the remainder of the sample based on demographics. It is argued that the sample is generally representative of adolescents who are being prescribed medication for ADHD, and that the high adherence rates are valid. These findings imply that clinicians treating adolescents with ADHD should be cautious in assuming that medication adherence is an inevitable problem in this population.

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)0.005
metaresearch head score (Gemma)0.022
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 score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
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 science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.466
Teacher spread0.356 · 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

Citations5
Published2000
Admission routes1
Has abstractyes

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