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Record W4307054480 · doi:10.1093/pch/pxac100.042

43 Impact of a Virtual Behavioural Support Intervention on improving behaviour, mental health, and Academic Engagement and Motivation for children with ADHD and their families: a Pilot Study

2022· article· en· W4307054480 on OpenAlexaff
Jean-François Lemay, Tasmia Hai, Emma A. Climie, Gabrielle Wicox

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntervention (counseling)PsychologyMental healthClinical psychologyAttention deficit hyperactivity disorderRating scaleScale (ratio)Developmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Children with ADHD struggle with their academic achievement, well-being, and social functioning. COVID-19 restrictions negatively impacted families of children with ADHD and limited their access to services. This led to the creation of the online ADHD-VIBES program (VIrtual BEhavioural Support Intervention for Children with ADHD). Objectives To determine the efficacy of the ADHD-VIBES program to support families of children with ADHD in behavioural, mental health, academic motivation, and engagement challenges. Design/Methods The ADHD-VIBES program was an online program created to support children with ADHD and their families. It consisted of separate parent and child sessions (1-hour each) for six weeks, targeting the development of self-regulation, positive thinking, communication, problem-solving and executive function skills. To our knowledge, there was no other online program offering the same program content during the pandemic. All children met the following criteria: confirmed ADHD based diagnosis of child on parent ratings on Conners-3 Rating Scale (T-score > 65); IQ score > 80 on the WASI-II abbreviated; and access to technology to join virtual groups. Parents completed the Behavior Assessment System for Children (BASC-3) and the Parenting Stress Index (PSI-4-SF) questionnaires. Children completed the BASC-3, the Executive Skills Questionnaire (ESQ), and the Motivation and Engagement Scale (MES). All questionnaires were completed at three different time-points: pre-intervention, post-intervention, and two-months after intervention. A survey was completed at the end of the intervention to determine level of satisfaction of parents towards the ADHD-VIBES. Results A total of 12 boys between the ages of 8 to 11 years old (M = 9.62, SD = 0.94), and their caregivers, took part in this program (summer 2021). On the BASC-3, parents reported significantly lower levels of depression and anxiety (F:5.65, p=.016; F:6.21, p=.012) after completion of the ADHD-VIBES program. No significant difference was reported by the children on the BASC-3. On the PSI-4-SF, there was no statistical difference observed (parental distress p=0.244). Improvement associated with executive skills (ESQ) were noticed related to Planning/Preparation (F:4.86, p=.019), Time Management (F:7.08, p=.005) and Goal Directed Persistence (F:5.71, p=.011). On the MES, negative Motivation subscales scores demonstrated a decrease in raw scores (T1=40.78; T2=35.75; T3=30.98; p=.103). Finally, all parents (100%) were satisfied/very satisfied with the ADHD-VIBES intervention. Conclusion The ADHD-VIBES online intervention showed promising improvement on some behavioural issues, and executive function skills. However, future randomized controlled studies with a larger sample size are required to better understand the impact of the intervention for children with ADHD and their parents.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.063
GPT teacher head0.352
Teacher spread0.288 · 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 designNon-randomized trial
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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