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Record W4399515388 · doi:10.1080/21622965.2024.2353828

Assessing adherence and clinical utility of modified goal management training for adolescents with ADHD: A pilot study

2024· article· en· W4399515388 on OpenAlexaff
Mahsa Sadeghi, Eleenor H Abraham, Tara McAuley

Bibliographic record

VenueApplied Neuropsychology Child · 2024
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAttendanceIntervention (counseling)PsychologyAttention deficit hyperactivity disorderClinical psychologyGoal settingAcademic achievementDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Many adolescents with attention-deficit hyperactivity disorder (ADHD) have executive functioning (EF) difficulties that contribute to academic and social-emotional challenges. This pilot explored adherence to and effectiveness of modified Goal Management Training (GMT), an EF intervention, with ADHD youth. Six adolescents with ADHD (14-17 years, 2 female) participated in a 6-session online group. Adherence was tracked via attendance and homework. Reliable change scores gaged pre-post differences on measures before and after training (primary: everyday EF and goal attainment; secondary: EF task performance, functional impairment, emotional adjustment, and self-concept). All youth attended at least 4 sessions, though homework completion was mixed. Four youth achieved their goal, some demonstrated reliable change on outcome measures, and all evidenced a reduction in impairment. Results support the feasibility of modified GMT in adolescents with ADHD and suggest that youth may benefit from this more personalized and holistic approach to EF intervention.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.175
GPT teacher head0.431
Teacher spread0.257 · 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.

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
Published2024
Admission routes1
Has abstractyes

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